an.tsouchlos/ba-thesis
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases 1 Wiki Activity

Added fer comparison between proximal and admm

Browse Source
This commit is contained in:
Andreas Tsouchlos 2023-04-17 08:38:45 +02:00
parent bcf05d26af
commit ff666d6b6a
17 changed files with 887 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

251
latex/thesis/chapters/comparison.tex
View File

@ -142,7 +142,7 @@ calculation, whereas with \ac{LP} decoding it occurs due to the approximate
formulation of the constraints - independent of the optimization method formulation of the constraints - independent of the optimization method
itself. itself.
The advantage which arises because of this when employing \ac{LP} decoding is The advantage which arises because of this when employing \ac{LP} decoding is
that it can be easily detected, when the algorithm gets stuck - it that it can be easily detected \todo{Not 'easily' detected}, when the algorithm gets stuck - it
returns a solution corresponding to a pseudocodeword, the components of which returns a solution corresponding to a pseudocodeword, the components of which
are fractional. are fractional.
Moreover, when a valid codeword is returned, it is also the \ac{ML} codeword. Moreover, when a valid codeword is returned, it is also the \ac{ML} codeword.
@ -244,7 +244,7 @@ computed for each check node (line 6 in figure
with proximal decoding, the same message is transmitted to all \acp{VN} with proximal decoding, the same message is transmitted to all \acp{VN}
(line 5 of figure \ref{fig:comp:message_passing:proximal}). (line 5 of figure \ref{fig:comp:message_passing:proximal}).
This means that while both algorithms have an average time complexity of This means that while both algorithms have an average time complexity of
$\mathcal{O}\left( n \right)$, more arithmetic operations are required for the $\mathcal{O}\left( n \right)$, more arithmetic operations are required in the
\ac{ADMM} case. \ac{ADMM} case.
In conclusion, the two algorithms have a very similar structure, where the In conclusion, the two algorithms have a very similar structure, where the
@ -278,3 +278,250 @@ more arithmetic operations are necessary in each iteration.
\item Proximal decoding faster than \ac{ADMM} $\rightarrow$ dafuq \item Proximal decoding faster than \ac{ADMM} $\rightarrow$ dafuq
(larger number of iterations before convergence? More values to compute for ADMM?) (larger number of iterations before convergence? More values to compute for ADMM?)
\end{itemize} \end{itemize}
\begin{figure}[H]
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={\acs{FER}},
ymode=log,
width=0.6\textwidth,
height=0.45\textwidth,
legend style={at={(0.5,-0.7)},anchor=south},
]
\addplot[RedOrange, line width=1pt, mark=*]
table [col sep=comma, x=SNR, y=FER,
discard if gt={SNR}{2.2},
]
{res/admm/fer_paper_margulis.csv};
\addlegendentry{Barman et al.}
\addplot[NavyBlue, densely dashed, line width=1pt, mark=triangle]
table [col sep=comma, x=SNR, y=FER,]
{/home/andreas/git/ba_sw/scripts/admm/sim_results/ber_margulis264013203.csv};
\addlegendentry{Own results}
\end{axis}
\end{tikzpicture}
\caption{Comparison of datapoints from Barman et al. with own simulation results%
\protect\footnotemark{}}
\label{fig:admm:results}
\end{figure}%
%
\footnotetext{``Margulis'' \ac{LDPC} code with $n = 2640$, $k = 1320$
\cite[\text{Margulis2640.1320.3}]{mackay_enc}; $K=200, \mu = 3.3, \rho=1.9,
\epsilon_{\text{pri}} = 10^{-5}, \epsilon_{\text{dual}} = 10^{-5}$
}%
%
\begin{figure}[H]
\centering
\begin{subfigure}[t]{0.48\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={FER},
ymode=log,
ymax=1.5, ymin=8e-5,
width=\textwidth,
height=0.75\textwidth,
]
\addplot[RedOrange, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_963965.csv};
\addplot[NavyBlue, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={mu}{3.0}]
%{res/hybrid/2d_ber_fer_dfr_963965.csv};
{/home/andreas/git/ba_sw/scripts/admm/results/ber_2d_963965.csv};
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% %{res/hybrid/2d_ber_fer_dfr_963965.csv};
% {res/hybrid/2d_ber_fer_dfr_963965.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% %{res/hybrid/2d_ber_fer_dfr_963965.csv};
% {res/hybrid/2d_ber_fer_dfr_963965.csv};
\end{axis}
\end{tikzpicture}
\caption{$\left( 3, 6 \right)$-regular \ac{LDPC} code with $n=96, k=48$
\cite[\text{96.3.965}]{mackay_enc}}
\end{subfigure}%
\hfill%
\begin{subfigure}[t]{0.48\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={FER},
ymode=log,
ymax=1.5, ymin=8e-5,
width=\textwidth,
height=0.75\textwidth,
]
\addplot[RedOrange, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
\addplot[NavyBlue, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={mu}{3.0}]
%{res/hybrid/2d_ber_fer_dfr_963965.csv};
{/home/andreas/git/ba_sw/scripts/admm/results/ber_2d_bch_31_26.csv};
\end{axis}
\end{tikzpicture}
\caption{BCH code with $n=31, k=26$}
\end{subfigure}%
\vspace{3mm}
\begin{subfigure}[t]{0.48\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={FER},
ymode=log,
ymax=1.5, ymin=8e-5,
width=\textwidth,
height=0.75\textwidth,
]
\addplot[RedOrange, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addplot[NavyBlue, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={mu}{3.0}]
%{res/hybrid/2d_ber_fer_dfr_963965.csv};
{/home/andreas/git/ba_sw/scripts/admm/results/ber_2d_20433484.csv};
\end{axis}
\end{tikzpicture}
\caption{$\left( 3, 6 \right)$-regular \ac{LDPC} code with $n=204, k=102$
\cite[\text{204.33.484}]{mackay_enc}}
\end{subfigure}%
\hfill%
\begin{subfigure}[t]{0.48\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={FER},
ymode=log,
ymax=1.5, ymin=8e-5,
width=\textwidth,
height=0.75\textwidth,
]
\addplot[RedOrange, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_20455187.csv};
\addplot[NavyBlue, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={mu}{3.0}]
%{res/hybrid/2d_ber_fer_dfr_963965.csv};
{/home/andreas/git/ba_sw/scripts/admm/results/ber_2d_20455187.csv};
\end{axis}
\end{tikzpicture}
\caption{$\left( 5, 10 \right)$-regular \ac{LDPC} code with $n=204, k=102$
\cite[\text{204.55.187}]{mackay_enc}}
\end{subfigure}%
\vspace{3mm}
\begin{subfigure}[t]{0.48\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={FER},
ymode=log,
ymax=1.5, ymin=8e-5,
width=\textwidth,
height=0.75\textwidth,
]
\addplot[RedOrange, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_40833844.csv};
\addplot[NavyBlue, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={mu}{3.0}]
%{res/hybrid/2d_ber_fer_dfr_963965.csv};
{/home/andreas/git/ba_sw/scripts/admm/results/ber_2d_40833844.csv};
\end{axis}
\end{tikzpicture}
\caption{$\left( 3, 6 \right)$-regular \ac{LDPC} code with $n=204, k=102$
\cite[\text{204.33.484}]{mackay_enc}}
\end{subfigure}%
\hfill%
\begin{subfigure}[t]{0.48\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={FER},
ymode=log,
ymax=1.5, ymin=8e-5,
width=\textwidth,
height=0.75\textwidth,
]
\addplot[RedOrange, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
\addplot[NavyBlue, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={mu}{3.0}]
%{res/hybrid/2d_ber_fer_dfr_963965.csv};
{/home/andreas/git/ba_sw/scripts/admm/results/ber_2d_pegreg252x504.csv};
\end{axis}
\end{tikzpicture}
\caption{LDPC code (progressive edge growth construction) with $n=504, k=252$
\cite[\text{PEGReg252x504}]{mackay_enc}}
\end{subfigure}%
\vspace{5mm}
\begin{subfigure}[t]{\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[hide axis,
xmin=10, xmax=50,
ymin=0, ymax=0.4,
legend columns=1,
legend style={draw=white!15!black}]
\addlegendimage{RedOrange, mark=*, solid}
\addlegendentry{Proximal decoding}
\addlegendimage{NavyBlue, mark=triange, densely dashed}
\addlegendentry{\acs{LP} decoding using \acs{ADMM}}
\end{axis}
\end{tikzpicture}
\end{subfigure}
\caption{Comparison of decoding performance between proximal decoding and \ac{LP} decoding
using \ac{ADMM}}
\label{fig:comp:prox_admm_dec}
\end{figure}

91
latex/thesis/res/admm/ber_2d_20433484.csv Normal file
View File

@ -0,0 +1,91 @@
SNR,mu,BER,FER,DFR,num_iterations
1.0,1.0,0.07218591140159768,0.7407407407407407,1.0,135.0
1.0,2.0,0.0720406681190995,0.7407407407407407,1.0,135.0
1.0,3.0,0.07175018155410312,0.7407407407407407,1.0,135.0
1.0,4.0,0.07178649237472767,0.7407407407407407,1.0,135.0
1.0,5.0,0.07229484386347132,0.7407407407407407,1.0,135.0
1.0,6.0,0.07139171458056907,0.7518796992481203,1.0,133.0
1.0,7.0,0.0719077104526021,0.7518796992481203,1.0,133.0
1.0,8.0,0.07681025165971901,0.7874015748031497,1.0,127.0
1.0,9.0,0.07623529411764705,0.8,1.0,125.0
1.5,1.0,0.04049119647859144,0.5102040816326531,1.0,196.0
1.5,2.0,0.03934073629451781,0.5102040816326531,1.0,196.0
1.5,3.0,0.03951734539969834,0.5128205128205128,1.0,195.0
1.5,4.0,0.039240954113604204,0.5154639175257731,1.0,194.0
1.5,5.0,0.03985396241830065,0.5208333333333334,1.0,192.0
1.5,6.0,0.03683750728013978,0.49504950495049505,1.0,202.0
1.5,7.0,0.03422336676606126,0.4608294930875576,1.0,217.0
1.5,8.0,0.0367037362208565,0.4975124378109453,1.0,201.0
1.5,9.0,0.03512684694730973,0.47393364928909953,1.0,211.0
2.0,1.0,0.016891391317232184,0.2518891687657431,1.0,397.0
2.0,2.0,0.016512501806619454,0.2457002457002457,1.0,407.0
2.0,3.0,0.016642754662840747,0.24390243902439024,1.0,410.0
2.0,4.0,0.01651672433679354,0.23529411764705882,1.0,425.0
2.0,5.0,0.016736694677871148,0.23809523809523808,1.0,420.0
2.0,6.0,0.01686924769907963,0.25510204081632654,1.0,392.0
2.0,7.0,0.017019307723089235,0.25510204081632654,1.0,392.0
2.0,8.0,0.015793878527020563,0.24390243902439024,1.0,410.0
2.0,9.0,0.015859284890426758,0.24509803921568626,1.0,408.0
2.5,1.0,0.00463465257795179,0.08019246190858059,1.0,1247.0
2.5,2.0,0.004429065743944637,0.0784313725490196,1.0,1275.0
2.5,3.0,0.004454240712678514,0.078064012490242,1.0,1281.0
2.5,4.0,0.004901960784313725,0.08488964346349745,1.0,1178.0
2.5,5.0,0.004937258431725526,0.09000900090009001,1.0,1111.0
2.5,6.0,0.004915161755905235,0.08976660682226212,1.0,1114.0
2.5,7.0,0.005067295833556759,0.09115770282588878,1.0,1097.0
2.5,8.0,0.004852354925410827,0.09199632014719411,1.0,1087.0
2.5,9.0,0.004828018163787254,0.08873114463176575,1.0,1127.0
3.0,1.0,0.0009363087762972183,0.01889287738522577,1.0,5293.0
3.0,2.0,0.0009157602856762813,0.017394329448599758,1.0,5749.0
3.0,3.0,0.0008953735130105303,0.01707067258449983,1.0,5858.0
3.0,4.0,0.0009096775965288076,0.01750700280112045,1.0,5712.0
3.0,5.0,0.0009096422073984233,0.017774617845716316,1.0,5626.0
3.0,6.0,0.0009536924264202976,0.018653236336504384,1.0,5361.0
3.0,7.0,0.0009746207636111793,0.0189897455374098,1.0,5266.0
3.0,8.0,0.0009502070093841872,0.018218254691200583,1.0,5489.0
3.0,9.0,0.001059442896027904,0.020781379883624274,1.0,4812.0
3.5,1.0,0.00013241525423728814,0.003115653040877368,1.0,32096.0
3.5,2.0,0.00011462004756731974,0.0026571011026969575,1.0,37635.0
3.5,3.0,0.00011200205383607669,0.0025875899187496765,1.0,38646.0
3.5,4.0,0.00011181672173206333,0.002528892597931366,1.0,39543.0
3.5,5.0,0.00011214668736133385,0.002579247375615795,1.0,38771.0
3.5,6.0,0.0001176280482298761,0.0026931674342193855,1.0,37131.0
3.5,7.0,0.00011985960229288179,0.002753531404025663,1.0,36317.0
3.5,8.0,0.0001273698191585535,0.003021330593993595,1.0,33098.0
3.5,9.0,0.00013979313199248151,0.003293048374880627,1.0,30367.0
4.0,1.0,1.158334210075127e-05,0.0003105127186009539,1.0,322048.0
4.0,2.0,8.999199571811633e-06,0.00022692666410995959,1.0,440671.0
4.0,3.0,8.660324136482014e-06,0.00022166952620355468,1.0,451122.0
4.0,4.0,8.4609817009315e-06,0.00021848610974557292,1.0,457695.0
4.0,5.0,8.267752040195013e-06,0.000216233514897408,1.0,462463.0
4.0,6.0,7.844397332465538e-06,0.00021139459125798807,1.0,473049.0
4.0,7.0,8.00508236454363e-06,0.0002227881040063985,1.0,448857.0
4.0,8.0,8.571277559437881e-06,0.00024662068013051166,1.0,405481.0
4.0,9.0,1.0263468364654873e-05,0.00029079827033188805,1.0,343881.0
4.5,1.0,1.5e-06,4.6e-05,1.0,500000.0
4.5,2.0,1.1666666666666666e-06,3.2e-05,1.0,500000.0
4.5,3.0,1.1470588235294117e-06,3e-05,1.0,500000.0
4.5,4.0,1.0392156862745097e-06,2.8e-05,1.0,500000.0
4.5,5.0,1.0686274509803922e-06,2.8e-05,1.0,500000.0
4.5,6.0,8.725490196078432e-07,2.4e-05,1.0,500000.0
4.5,7.0,6.176470588235294e-07,1.8e-05,1.0,500000.0
4.5,8.0,9.117647058823529e-07,2.4e-05,1.0,500000.0
4.5,9.0,6.862745098039216e-07,2e-05,1.0,500000.0
5.0,1.0,1.764705882352941e-07,2e-06,1.0,500000.0
5.0,2.0,2.156862745098039e-07,2e-06,1.0,500000.0
5.0,3.0,1.764705882352941e-07,2e-06,1.0,500000.0
5.0,4.0,1.764705882352941e-07,2e-06,1.0,500000.0
5.0,5.0,0.0,0.0,1.0,500000.0
5.0,6.0,0.0,0.0,1.0,500000.0
5.0,7.0,0.0,0.0,1.0,500000.0
5.0,8.0,0.0,0.0,1.0,500000.0
5.0,9.0,0.0,0.0,1.0,500000.0
5.5,1.0,0.0,0.0,1.0,500000.0
5.5,2.0,0.0,0.0,1.0,500000.0
5.5,3.0,0.0,0.0,1.0,500000.0
5.5,4.0,0.0,0.0,1.0,500000.0
5.5,5.0,0.0,0.0,1.0,500000.0
5.5,6.0,0.0,0.0,1.0,500000.0
5.5,7.0,0.0,0.0,1.0,500000.0
5.5,8.0,0.0,0.0,1.0,500000.0
5.5,9.0,0.0,0.0,1.0,500000.0
1 SNR mu BER FER DFR num_iterations
2 1.0 1.0 0.07218591140159768 0.7407407407407407 1.0 135.0
3 1.0 2.0 0.0720406681190995 0.7407407407407407 1.0 135.0
4 1.0 3.0 0.07175018155410312 0.7407407407407407 1.0 135.0
5 1.0 4.0 0.07178649237472767 0.7407407407407407 1.0 135.0
6 1.0 5.0 0.07229484386347132 0.7407407407407407 1.0 135.0
7 1.0 6.0 0.07139171458056907 0.7518796992481203 1.0 133.0
8 1.0 7.0 0.0719077104526021 0.7518796992481203 1.0 133.0
9 1.0 8.0 0.07681025165971901 0.7874015748031497 1.0 127.0
10 1.0 9.0 0.07623529411764705 0.8 1.0 125.0
11 1.5 1.0 0.04049119647859144 0.5102040816326531 1.0 196.0
12 1.5 2.0 0.03934073629451781 0.5102040816326531 1.0 196.0
13 1.5 3.0 0.03951734539969834 0.5128205128205128 1.0 195.0
14 1.5 4.0 0.039240954113604204 0.5154639175257731 1.0 194.0
15 1.5 5.0 0.03985396241830065 0.5208333333333334 1.0 192.0
16 1.5 6.0 0.03683750728013978 0.49504950495049505 1.0 202.0
17 1.5 7.0 0.03422336676606126 0.4608294930875576 1.0 217.0
18 1.5 8.0 0.0367037362208565 0.4975124378109453 1.0 201.0
19 1.5 9.0 0.03512684694730973 0.47393364928909953 1.0 211.0
20 2.0 1.0 0.016891391317232184 0.2518891687657431 1.0 397.0
21 2.0 2.0 0.016512501806619454 0.2457002457002457 1.0 407.0
22 2.0 3.0 0.016642754662840747 0.24390243902439024 1.0 410.0
23 2.0 4.0 0.01651672433679354 0.23529411764705882 1.0 425.0
24 2.0 5.0 0.016736694677871148 0.23809523809523808 1.0 420.0
25 2.0 6.0 0.01686924769907963 0.25510204081632654 1.0 392.0
26 2.0 7.0 0.017019307723089235 0.25510204081632654 1.0 392.0
27 2.0 8.0 0.015793878527020563 0.24390243902439024 1.0 410.0
28 2.0 9.0 0.015859284890426758 0.24509803921568626 1.0 408.0
29 2.5 1.0 0.00463465257795179 0.08019246190858059 1.0 1247.0
30 2.5 2.0 0.004429065743944637 0.0784313725490196 1.0 1275.0
31 2.5 3.0 0.004454240712678514 0.078064012490242 1.0 1281.0
32 2.5 4.0 0.004901960784313725 0.08488964346349745 1.0 1178.0
33 2.5 5.0 0.004937258431725526 0.09000900090009001 1.0 1111.0
34 2.5 6.0 0.004915161755905235 0.08976660682226212 1.0 1114.0
35 2.5 7.0 0.005067295833556759 0.09115770282588878 1.0 1097.0
36 2.5 8.0 0.004852354925410827 0.09199632014719411 1.0 1087.0
37 2.5 9.0 0.004828018163787254 0.08873114463176575 1.0 1127.0
38 3.0 1.0 0.0009363087762972183 0.01889287738522577 1.0 5293.0
39 3.0 2.0 0.0009157602856762813 0.017394329448599758 1.0 5749.0
40 3.0 3.0 0.0008953735130105303 0.01707067258449983 1.0 5858.0
41 3.0 4.0 0.0009096775965288076 0.01750700280112045 1.0 5712.0
42 3.0 5.0 0.0009096422073984233 0.017774617845716316 1.0 5626.0
43 3.0 6.0 0.0009536924264202976 0.018653236336504384 1.0 5361.0
44 3.0 7.0 0.0009746207636111793 0.0189897455374098 1.0 5266.0
45 3.0 8.0 0.0009502070093841872 0.018218254691200583 1.0 5489.0
46 3.0 9.0 0.001059442896027904 0.020781379883624274 1.0 4812.0
47 3.5 1.0 0.00013241525423728814 0.003115653040877368 1.0 32096.0
48 3.5 2.0 0.00011462004756731974 0.0026571011026969575 1.0 37635.0
49 3.5 3.0 0.00011200205383607669 0.0025875899187496765 1.0 38646.0
50 3.5 4.0 0.00011181672173206333 0.002528892597931366 1.0 39543.0
51 3.5 5.0 0.00011214668736133385 0.002579247375615795 1.0 38771.0
52 3.5 6.0 0.0001176280482298761 0.0026931674342193855 1.0 37131.0
53 3.5 7.0 0.00011985960229288179 0.002753531404025663 1.0 36317.0
54 3.5 8.0 0.0001273698191585535 0.003021330593993595 1.0 33098.0
55 3.5 9.0 0.00013979313199248151 0.003293048374880627 1.0 30367.0
56 4.0 1.0 1.158334210075127e-05 0.0003105127186009539 1.0 322048.0
57 4.0 2.0 8.999199571811633e-06 0.00022692666410995959 1.0 440671.0
58 4.0 3.0 8.660324136482014e-06 0.00022166952620355468 1.0 451122.0
59 4.0 4.0 8.4609817009315e-06 0.00021848610974557292 1.0 457695.0
60 4.0 5.0 8.267752040195013e-06 0.000216233514897408 1.0 462463.0
61 4.0 6.0 7.844397332465538e-06 0.00021139459125798807 1.0 473049.0
62 4.0 7.0 8.00508236454363e-06 0.0002227881040063985 1.0 448857.0
63 4.0 8.0 8.571277559437881e-06 0.00024662068013051166 1.0 405481.0
64 4.0 9.0 1.0263468364654873e-05 0.00029079827033188805 1.0 343881.0
65 4.5 1.0 1.5e-06 4.6e-05 1.0 500000.0
66 4.5 2.0 1.1666666666666666e-06 3.2e-05 1.0 500000.0
67 4.5 3.0 1.1470588235294117e-06 3e-05 1.0 500000.0
68 4.5 4.0 1.0392156862745097e-06 2.8e-05 1.0 500000.0
69 4.5 5.0 1.0686274509803922e-06 2.8e-05 1.0 500000.0
70 4.5 6.0 8.725490196078432e-07 2.4e-05 1.0 500000.0
71 4.5 7.0 6.176470588235294e-07 1.8e-05 1.0 500000.0
72 4.5 8.0 9.117647058823529e-07 2.4e-05 1.0 500000.0
73 4.5 9.0 6.862745098039216e-07 2e-05 1.0 500000.0
74 5.0 1.0 1.764705882352941e-07 2e-06 1.0 500000.0
75 5.0 2.0 2.156862745098039e-07 2e-06 1.0 500000.0
76 5.0 3.0 1.764705882352941e-07 2e-06 1.0 500000.0
77 5.0 4.0 1.764705882352941e-07 2e-06 1.0 500000.0
78 5.0 5.0 0.0 0.0 1.0 500000.0
79 5.0 6.0 0.0 0.0 1.0 500000.0
80 5.0 7.0 0.0 0.0 1.0 500000.0
81 5.0 8.0 0.0 0.0 1.0 500000.0
82 5.0 9.0 0.0 0.0 1.0 500000.0
83 5.5 1.0 0.0 0.0 1.0 500000.0
84 5.5 2.0 0.0 0.0 1.0 500000.0
85 5.5 3.0 0.0 0.0 1.0 500000.0
86 5.5 4.0 0.0 0.0 1.0 500000.0
87 5.5 5.0 0.0 0.0 1.0 500000.0
88 5.5 6.0 0.0 0.0 1.0 500000.0
89 5.5 7.0 0.0 0.0 1.0 500000.0
90 5.5 8.0 0.0 0.0 1.0 500000.0
91 5.5 9.0 0.0 0.0 1.0 500000.0

11
latex/thesis/res/admm/ber_2d_20433484_metadata.json Normal file
View File

@ -0,0 +1,11 @@
{
"duration": 1623.720144351013,
"name": "ber_2d_20433484",
"platform": "Linux-6.2.10-arch1-1-x86_64-with-glibc2.37",
"K": 200,
"rho": 1,
"epsilon_pri": 1e-05,
"epsilon_dual": 1e-05,
"max_frame_errors": 100,
"end_time": "2023-04-17 05:39:37.550901"
}

91
latex/thesis/res/admm/ber_2d_20455187.csv Normal file
View File

@ -0,0 +1,91 @@
SNR,mu,BER,FER,DFR,num_iterations
1.0,1.0,0.1253364090734333,0.9803921568627451,1.0,102.0
1.0,2.0,0.1251441753171857,0.9803921568627451,1.0,102.0
1.0,3.0,0.1250961168781238,0.9803921568627451,1.0,102.0
1.0,4.0,0.1254325259515571,0.9803921568627451,1.0,102.0
1.0,5.0,0.125,0.9803921568627451,1.0,102.0
1.0,6.0,0.12480776624375241,0.9803921568627451,1.0,102.0
1.0,7.0,0.1250480584390619,0.9803921568627451,1.0,102.0
1.0,8.0,0.1269171034750534,0.9900990099009901,1.0,101.0
1.0,9.0,0.12682003494467095,0.9900990099009901,1.0,101.0
1.5,1.0,0.10808580858085809,0.9900990099009901,1.0,101.0
1.5,2.0,0.10876528829353524,0.9900990099009901,1.0,101.0
1.5,3.0,0.10910502814987381,0.9900990099009901,1.0,101.0
1.5,4.0,0.10925063094544749,0.9900990099009901,1.0,101.0
1.5,5.0,0.10920209668025627,0.9900990099009901,1.0,101.0
1.5,6.0,0.10280112044817927,0.9523809523809523,1.0,105.0
1.5,7.0,0.10270774976657329,0.9523809523809523,1.0,105.0
1.5,8.0,0.10252100840336134,0.9523809523809523,1.0,105.0
1.5,9.0,0.10270774976657329,0.9523809523809523,1.0,105.0
2.0,1.0,0.07839017960125226,0.8403361344537815,1.0,119.0
2.0,2.0,0.07805749418411433,0.847457627118644,1.0,118.0
2.0,3.0,0.07826520438683948,0.847457627118644,1.0,118.0
2.0,4.0,0.0704656862745098,0.8333333333333334,1.0,120.0
2.0,5.0,0.07070455300764374,0.847457627118644,1.0,118.0
2.0,6.0,0.07099534729145895,0.847457627118644,1.0,118.0
2.0,7.0,0.07103688933200399,0.847457627118644,1.0,118.0
2.0,8.0,0.0693336656696577,0.847457627118644,1.0,118.0
2.0,9.0,0.06968390804597702,0.8620689655172413,1.0,116.0
2.5,1.0,0.042119565217391304,0.5434782608695652,1.0,184.0
2.5,2.0,0.044503194536241464,0.5617977528089888,1.0,178.0
2.5,3.0,0.044420577219651904,0.5617977528089888,1.0,178.0
2.5,4.0,0.04411764705882353,0.5649717514124294,1.0,177.0
2.5,5.0,0.044257703081232495,0.5714285714285714,1.0,175.0
2.5,6.0,0.04623896342162596,0.5847953216374269,1.0,171.0
2.5,7.0,0.045886993850794755,0.591715976331361,1.0,169.0
2.5,8.0,0.04683402023229674,0.6369426751592356,1.0,157.0
2.5,9.0,0.04408775705404113,0.6097560975609756,1.0,164.0
3.0,1.0,0.02084507924575581,0.3194888178913738,1.0,313.0
3.0,2.0,0.02097036897826223,0.3194888178913738,1.0,313.0
3.0,3.0,0.021542827657378742,0.32894736842105265,1.0,304.0
3.0,4.0,0.02130037682825573,0.3257328990228013,1.0,307.0
3.0,5.0,0.0212903643305507,0.33003300330033003,1.0,303.0
3.0,6.0,0.02215954875100725,0.3424657534246575,1.0,292.0
3.0,7.0,0.019976291170062797,0.32679738562091504,1.0,306.0
3.0,8.0,0.018131165509682134,0.3105590062111801,1.0,322.0
3.0,9.0,0.01895007204159619,0.3194888178913738,1.0,313.0
3.5,1.0,0.005495608751069439,0.08904719501335707,1.0,1123.0
3.5,2.0,0.005568035384668965,0.08880994671403197,1.0,1126.0
3.5,3.0,0.0055060144625225975,0.08865248226950355,1.0,1128.0
3.5,4.0,0.005649487151607408,0.09242144177449169,1.0,1082.0
3.5,5.0,0.0059513101876836364,0.1019367991845056,1.0,981.0
3.5,6.0,0.005920416435199473,0.1049317943336831,1.0,953.0
3.5,7.0,0.005993595741584015,0.10604453870625663,1.0,943.0
3.5,8.0,0.005667729365922777,0.10626992561105207,1.0,941.0
3.5,9.0,0.005557670748989995,0.10787486515641856,1.0,927.0
4.0,1.0,0.0011370977598519371,0.02226179875333927,1.0,4492.0
4.0,2.0,0.001104985453356057,0.021949078138718173,1.0,4556.0
4.0,3.0,0.0011066210887033577,0.02160293799956794,1.0,4629.0
4.0,4.0,0.0011366865586814436,0.023004370830457786,1.0,4347.0
4.0,5.0,0.0011532649327924919,0.023860653781913623,1.0,4191.0
4.0,6.0,0.001113873854072222,0.023353573096683792,1.0,4282.0
4.0,7.0,0.0011209732252788652,0.023430178069353328,1.0,4268.0
4.0,8.0,0.0008494622379918278,0.020173492031470647,1.0,4957.0
4.0,9.0,0.0008734028763656565,0.02098635886673662,1.0,4765.0
4.5,1.0,0.00010642139524427896,0.0024393218685205514,1.0,40995.0
4.5,2.0,9.874093897093041e-05,0.0022159682673344116,1.0,45127.0
4.5,3.0,9.863820677693311e-05,0.0022136627263470137,1.0,45174.0
4.5,4.0,9.930431005335788e-05,0.002283887175973507,1.0,43785.0
4.5,5.0,9.929659427434275e-05,0.002315029169367534,1.0,43196.0
4.5,6.0,0.0001063778679130035,0.0025001250062503125,1.0,39998.0
4.5,7.0,0.00010651384447584344,0.0026337968815844924,1.0,37968.0
4.5,8.0,0.00013144058885383806,0.0030927197377373663,1.0,32334.0
4.5,9.0,0.00013377639822520138,0.0032372936225315637,1.0,30890.0
5.0,1.0,1.392156862745098e-05,0.00028,1.0,50000.0
5.0,2.0,1.1764705882352942e-05,0.00024,1.0,50000.0
5.0,3.0,1.1274509803921569e-05,0.00024,1.0,50000.0
5.0,4.0,1.1470588235294118e-05,0.00024,1.0,50000.0
5.0,5.0,1.1764705882352942e-05,0.00026,1.0,50000.0
5.0,6.0,6.568627450980392e-06,0.00016,1.0,50000.0
5.0,7.0,4.803921568627451e-06,0.00014,1.0,50000.0
5.0,8.0,7.450980392156862e-06,0.00018,1.0,50000.0
5.0,9.0,5.294117647058824e-06,0.00016,1.0,50000.0
5.5,1.0,0.0,0.0,1.0,50000.0
5.5,2.0,0.0,0.0,1.0,50000.0
5.5,3.0,0.0,0.0,1.0,50000.0
5.5,4.0,0.0,0.0,1.0,50000.0
5.5,5.0,0.0,0.0,1.0,50000.0
5.5,6.0,0.0,0.0,1.0,50000.0
5.5,7.0,0.0,0.0,1.0,50000.0
5.5,8.0,0.0,0.0,1.0,50000.0
5.5,9.0,0.0,0.0,1.0,50000.0
1 SNR mu BER FER DFR num_iterations
2 1.0 1.0 0.1253364090734333 0.9803921568627451 1.0 102.0
3 1.0 2.0 0.1251441753171857 0.9803921568627451 1.0 102.0
4 1.0 3.0 0.1250961168781238 0.9803921568627451 1.0 102.0
5 1.0 4.0 0.1254325259515571 0.9803921568627451 1.0 102.0
6 1.0 5.0 0.125 0.9803921568627451 1.0 102.0
7 1.0 6.0 0.12480776624375241 0.9803921568627451 1.0 102.0
8 1.0 7.0 0.1250480584390619 0.9803921568627451 1.0 102.0
9 1.0 8.0 0.1269171034750534 0.9900990099009901 1.0 101.0
10 1.0 9.0 0.12682003494467095 0.9900990099009901 1.0 101.0
11 1.5 1.0 0.10808580858085809 0.9900990099009901 1.0 101.0
12 1.5 2.0 0.10876528829353524 0.9900990099009901 1.0 101.0
13 1.5 3.0 0.10910502814987381 0.9900990099009901 1.0 101.0
14 1.5 4.0 0.10925063094544749 0.9900990099009901 1.0 101.0
15 1.5 5.0 0.10920209668025627 0.9900990099009901 1.0 101.0
16 1.5 6.0 0.10280112044817927 0.9523809523809523 1.0 105.0
17 1.5 7.0 0.10270774976657329 0.9523809523809523 1.0 105.0
18 1.5 8.0 0.10252100840336134 0.9523809523809523 1.0 105.0
19 1.5 9.0 0.10270774976657329 0.9523809523809523 1.0 105.0
20 2.0 1.0 0.07839017960125226 0.8403361344537815 1.0 119.0
21 2.0 2.0 0.07805749418411433 0.847457627118644 1.0 118.0
22 2.0 3.0 0.07826520438683948 0.847457627118644 1.0 118.0
23 2.0 4.0 0.0704656862745098 0.8333333333333334 1.0 120.0
24 2.0 5.0 0.07070455300764374 0.847457627118644 1.0 118.0
25 2.0 6.0 0.07099534729145895 0.847457627118644 1.0 118.0
26 2.0 7.0 0.07103688933200399 0.847457627118644 1.0 118.0
27 2.0 8.0 0.0693336656696577 0.847457627118644 1.0 118.0
28 2.0 9.0 0.06968390804597702 0.8620689655172413 1.0 116.0
29 2.5 1.0 0.042119565217391304 0.5434782608695652 1.0 184.0
30 2.5 2.0 0.044503194536241464 0.5617977528089888 1.0 178.0
31 2.5 3.0 0.044420577219651904 0.5617977528089888 1.0 178.0
32 2.5 4.0 0.04411764705882353 0.5649717514124294 1.0 177.0
33 2.5 5.0 0.044257703081232495 0.5714285714285714 1.0 175.0
34 2.5 6.0 0.04623896342162596 0.5847953216374269 1.0 171.0
35 2.5 7.0 0.045886993850794755 0.591715976331361 1.0 169.0
36 2.5 8.0 0.04683402023229674 0.6369426751592356 1.0 157.0
37 2.5 9.0 0.04408775705404113 0.6097560975609756 1.0 164.0
38 3.0 1.0 0.02084507924575581 0.3194888178913738 1.0 313.0
39 3.0 2.0 0.02097036897826223 0.3194888178913738 1.0 313.0
40 3.0 3.0 0.021542827657378742 0.32894736842105265 1.0 304.0
41 3.0 4.0 0.02130037682825573 0.3257328990228013 1.0 307.0
42 3.0 5.0 0.0212903643305507 0.33003300330033003 1.0 303.0
43 3.0 6.0 0.02215954875100725 0.3424657534246575 1.0 292.0
44 3.0 7.0 0.019976291170062797 0.32679738562091504 1.0 306.0
45 3.0 8.0 0.018131165509682134 0.3105590062111801 1.0 322.0
46 3.0 9.0 0.01895007204159619 0.3194888178913738 1.0 313.0
47 3.5 1.0 0.005495608751069439 0.08904719501335707 1.0 1123.0
48 3.5 2.0 0.005568035384668965 0.08880994671403197 1.0 1126.0
49 3.5 3.0 0.0055060144625225975 0.08865248226950355 1.0 1128.0
50 3.5 4.0 0.005649487151607408 0.09242144177449169 1.0 1082.0
51 3.5 5.0 0.0059513101876836364 0.1019367991845056 1.0 981.0
52 3.5 6.0 0.005920416435199473 0.1049317943336831 1.0 953.0
53 3.5 7.0 0.005993595741584015 0.10604453870625663 1.0 943.0
54 3.5 8.0 0.005667729365922777 0.10626992561105207 1.0 941.0
55 3.5 9.0 0.005557670748989995 0.10787486515641856 1.0 927.0
56 4.0 1.0 0.0011370977598519371 0.02226179875333927 1.0 4492.0
57 4.0 2.0 0.001104985453356057 0.021949078138718173 1.0 4556.0
58 4.0 3.0 0.0011066210887033577 0.02160293799956794 1.0 4629.0
59 4.0 4.0 0.0011366865586814436 0.023004370830457786 1.0 4347.0
60 4.0 5.0 0.0011532649327924919 0.023860653781913623 1.0 4191.0
61 4.0 6.0 0.001113873854072222 0.023353573096683792 1.0 4282.0
62 4.0 7.0 0.0011209732252788652 0.023430178069353328 1.0 4268.0
63 4.0 8.0 0.0008494622379918278 0.020173492031470647 1.0 4957.0
64 4.0 9.0 0.0008734028763656565 0.02098635886673662 1.0 4765.0
65 4.5 1.0 0.00010642139524427896 0.0024393218685205514 1.0 40995.0
66 4.5 2.0 9.874093897093041e-05 0.0022159682673344116 1.0 45127.0
67 4.5 3.0 9.863820677693311e-05 0.0022136627263470137 1.0 45174.0
68 4.5 4.0 9.930431005335788e-05 0.002283887175973507 1.0 43785.0
69 4.5 5.0 9.929659427434275e-05 0.002315029169367534 1.0 43196.0
70 4.5 6.0 0.0001063778679130035 0.0025001250062503125 1.0 39998.0
71 4.5 7.0 0.00010651384447584344 0.0026337968815844924 1.0 37968.0
72 4.5 8.0 0.00013144058885383806 0.0030927197377373663 1.0 32334.0
73 4.5 9.0 0.00013377639822520138 0.0032372936225315637 1.0 30890.0
74 5.0 1.0 1.392156862745098e-05 0.00028 1.0 50000.0
75 5.0 2.0 1.1764705882352942e-05 0.00024 1.0 50000.0
76 5.0 3.0 1.1274509803921569e-05 0.00024 1.0 50000.0
77 5.0 4.0 1.1470588235294118e-05 0.00024 1.0 50000.0
78 5.0 5.0 1.1764705882352942e-05 0.00026 1.0 50000.0
79 5.0 6.0 6.568627450980392e-06 0.00016 1.0 50000.0
80 5.0 7.0 4.803921568627451e-06 0.00014 1.0 50000.0
81 5.0 8.0 7.450980392156862e-06 0.00018 1.0 50000.0
82 5.0 9.0 5.294117647058824e-06 0.00016 1.0 50000.0
83 5.5 1.0 0.0 0.0 1.0 50000.0
84 5.5 2.0 0.0 0.0 1.0 50000.0
85 5.5 3.0 0.0 0.0 1.0 50000.0
86 5.5 4.0 0.0 0.0 1.0 50000.0
87 5.5 5.0 0.0 0.0 1.0 50000.0
88 5.5 6.0 0.0 0.0 1.0 50000.0
89 5.5 7.0 0.0 0.0 1.0 50000.0
90 5.5 8.0 0.0 0.0 1.0 50000.0
91 5.5 9.0 0.0 0.0 1.0 50000.0

11
latex/thesis/res/admm/ber_2d_20455187_metadata.json Normal file
View File

@ -0,0 +1,11 @@
{
"duration": 478.0061850019847,
"name": "ber_2d_20455187",
"platform": "Linux-6.2.10-arch1-1-x86_64-with-glibc2.37",
"K": 200,
"rho": 1,
"epsilon_pri": 1e-05,
"epsilon_dual": 1e-05,
"max_frame_errors": 100,
"end_time": "2023-04-17 08:17:44.218669"
}

46
latex/thesis/res/admm/ber_2d_40833844.csv Normal file
View File

@ -0,0 +1,46 @@
SNR,mu,BER,FER,DFR,num_iterations
1.0,1.0,0.06919461999675904,0.8264462809917356,1.0,121.0
1.0,2.0,0.06848565872630044,0.8264462809917356,1.0,121.0
1.0,3.0,0.06834386647220872,0.8264462809917356,1.0,121.0
1.0,4.0,0.06850490196078432,0.8333333333333334,1.0,120.0
1.0,5.0,0.0691092676386794,0.8547008547008547,1.0,117.0
1.0,6.0,0.0689626277861572,0.8547008547008547,1.0,117.0
1.0,7.0,0.0693815987933635,0.8547008547008547,1.0,117.0
1.0,8.0,0.07080375253549696,0.8620689655172413,1.0,116.0
1.0,9.0,0.07101449275362319,0.8695652173913043,1.0,115.0
1.5,1.0,0.035084820445031945,0.5617977528089888,1.0,178.0
1.5,2.0,0.034119862634319265,0.5649717514124294,1.0,177.0
1.5,3.0,0.03397759103641457,0.5714285714285714,1.0,175.0
1.5,4.0,0.03421624331550802,0.5681818181818182,1.0,176.0
1.5,5.0,0.03472938883155601,0.5847953216374269,1.0,171.0
1.5,6.0,0.0321078431372549,0.5555555555555556,1.0,180.0
1.5,7.0,0.03215452847805789,0.5952380952380952,1.0,168.0
1.5,8.0,0.03365546218487395,0.5714285714285714,1.0,175.0
1.5,9.0,0.03299856527977044,0.6097560975609756,1.0,164.0
2.0,1.0,0.009332771963591162,0.20449897750511248,1.0,489.0
2.0,2.0,0.008940288713910761,0.1968503937007874,1.0,508.0
2.0,3.0,0.008836803580232868,0.19342359767891681,1.0,517.0
2.0,4.0,0.009157847239314136,0.20920502092050208,1.0,478.0
2.0,5.0,0.009135939491100423,0.20964360587002095,1.0,477.0
2.0,6.0,0.008690323955669224,0.21739130434782608,1.0,460.0
2.0,7.0,0.00997531879884821,0.2331002331002331,1.0,429.0
2.0,8.0,0.010838115734098517,0.24390243902439024,1.0,410.0
2.0,9.0,0.011479913302081758,0.2570694087403599,1.0,389.0
2.5,1.0,0.0017242496620933547,0.047214353163361665,1.0,2118.0
2.5,2.0,0.0016228619107217354,0.0425531914893617,1.0,2350.0
2.5,3.0,0.0016059892164958468,0.04128819157720892,1.0,2422.0
2.5,4.0,0.0015665849673202614,0.041666666666666664,1.0,2400.0
2.5,5.0,0.0015773847665427826,0.04357298474945534,1.0,2295.0
2.5,6.0,0.0016676189439698173,0.04625346901017576,1.0,2162.0
2.5,7.0,0.0016209623946196836,0.04830917874396135,1.0,2070.0
2.5,8.0,0.0015189826521066622,0.04723665564478035,1.0,2117.0
2.5,9.0,0.0014641602148387281,0.04856726566294318,1.0,2059.0
3.0,1.0,0.00013390860989666138,0.005278716216216216,1.0,18944.0
3.0,2.0,0.00011930635910743145,0.004003042312157239,1.0,24981.0
3.0,3.0,0.00011284406484041877,0.0037249497131788723,1.0,26846.0
3.0,4.0,0.00010934576550661322,0.003665823527255398,1.0,27279.0
3.0,5.0,0.00010718335208588597,0.003699729919715861,1.0,27029.0
3.0,6.0,0.00011506720316382906,0.003995525011986575,1.0,25028.0
3.0,7.0,0.00011928613077319447,0.004322268326417704,1.0,23136.0
3.0,8.0,0.00012798885140090949,0.004987531172069825,1.0,20050.0
3.0,9.0,0.00013577364491218898,0.005049739938393172,1.0,19803.0
1 SNR mu BER FER DFR num_iterations
2 1.0 1.0 0.06919461999675904 0.8264462809917356 1.0 121.0
3 1.0 2.0 0.06848565872630044 0.8264462809917356 1.0 121.0
4 1.0 3.0 0.06834386647220872 0.8264462809917356 1.0 121.0
5 1.0 4.0 0.06850490196078432 0.8333333333333334 1.0 120.0
6 1.0 5.0 0.0691092676386794 0.8547008547008547 1.0 117.0
7 1.0 6.0 0.0689626277861572 0.8547008547008547 1.0 117.0
8 1.0 7.0 0.0693815987933635 0.8547008547008547 1.0 117.0
9 1.0 8.0 0.07080375253549696 0.8620689655172413 1.0 116.0
10 1.0 9.0 0.07101449275362319 0.8695652173913043 1.0 115.0
11 1.5 1.0 0.035084820445031945 0.5617977528089888 1.0 178.0
12 1.5 2.0 0.034119862634319265 0.5649717514124294 1.0 177.0
13 1.5 3.0 0.03397759103641457 0.5714285714285714 1.0 175.0
14 1.5 4.0 0.03421624331550802 0.5681818181818182 1.0 176.0
15 1.5 5.0 0.03472938883155601 0.5847953216374269 1.0 171.0
16 1.5 6.0 0.0321078431372549 0.5555555555555556 1.0 180.0
17 1.5 7.0 0.03215452847805789 0.5952380952380952 1.0 168.0
18 1.5 8.0 0.03365546218487395 0.5714285714285714 1.0 175.0
19 1.5 9.0 0.03299856527977044 0.6097560975609756 1.0 164.0
20 2.0 1.0 0.009332771963591162 0.20449897750511248 1.0 489.0
21 2.0 2.0 0.008940288713910761 0.1968503937007874 1.0 508.0
22 2.0 3.0 0.008836803580232868 0.19342359767891681 1.0 517.0
23 2.0 4.0 0.009157847239314136 0.20920502092050208 1.0 478.0
24 2.0 5.0 0.009135939491100423 0.20964360587002095 1.0 477.0
25 2.0 6.0 0.008690323955669224 0.21739130434782608 1.0 460.0
26 2.0 7.0 0.00997531879884821 0.2331002331002331 1.0 429.0
27 2.0 8.0 0.010838115734098517 0.24390243902439024 1.0 410.0
28 2.0 9.0 0.011479913302081758 0.2570694087403599 1.0 389.0
29 2.5 1.0 0.0017242496620933547 0.047214353163361665 1.0 2118.0
30 2.5 2.0 0.0016228619107217354 0.0425531914893617 1.0 2350.0
31 2.5 3.0 0.0016059892164958468 0.04128819157720892 1.0 2422.0
32 2.5 4.0 0.0015665849673202614 0.041666666666666664 1.0 2400.0
33 2.5 5.0 0.0015773847665427826 0.04357298474945534 1.0 2295.0
34 2.5 6.0 0.0016676189439698173 0.04625346901017576 1.0 2162.0
35 2.5 7.0 0.0016209623946196836 0.04830917874396135 1.0 2070.0
36 2.5 8.0 0.0015189826521066622 0.04723665564478035 1.0 2117.0
37 2.5 9.0 0.0014641602148387281 0.04856726566294318 1.0 2059.0
38 3.0 1.0 0.00013390860989666138 0.005278716216216216 1.0 18944.0
39 3.0 2.0 0.00011930635910743145 0.004003042312157239 1.0 24981.0
40 3.0 3.0 0.00011284406484041877 0.0037249497131788723 1.0 26846.0
41 3.0 4.0 0.00010934576550661322 0.003665823527255398 1.0 27279.0
42 3.0 5.0 0.00010718335208588597 0.003699729919715861 1.0 27029.0
43 3.0 6.0 0.00011506720316382906 0.003995525011986575 1.0 25028.0
44 3.0 7.0 0.00011928613077319447 0.004322268326417704 1.0 23136.0
45 3.0 8.0 0.00012798885140090949 0.004987531172069825 1.0 20050.0
46 3.0 9.0 0.00013577364491218898 0.005049739938393172 1.0 19803.0

11
latex/thesis/res/admm/ber_2d_40833844_metadata.json Normal file
View File

@ -0,0 +1,11 @@
{
"duration": 1203.3994885950233,
"name": "ber_2d_40833844",
"platform": "Linux-6.2.10-arch1-1-x86_64-with-glibc2.37",
"K": 200,
"rho": 1,
"epsilon_pri": 1e-05,
"epsilon_dual": 1e-05,
"max_frame_errors": 100,
"end_time": "2023-04-17 06:01:09.510389"
}

91
latex/thesis/res/admm/ber_2d_963965.csv Normal file
View File

@ -0,0 +1,91 @@
SNR,mu,BER,FER,DFR,num_iterations
1.0,1.0,0.06802839851024209,0.5586592178770949,1.0,179.0
1.0,2.0,0.06700608614232209,0.5617977528089888,1.0,178.0
1.0,3.0,0.06828034682080925,0.5780346820809249,1.0,173.0
1.0,4.0,0.06770833333333333,0.5882352941176471,1.0,170.0
1.0,5.0,0.06749260355029586,0.591715976331361,1.0,169.0
1.0,6.0,0.06902610441767068,0.6024096385542169,1.0,166.0
1.0,7.0,0.06940261044176707,0.6024096385542169,1.0,166.0
1.0,8.0,0.07376302083333333,0.625,1.0,160.0
1.0,9.0,0.07107142857142858,0.5714285714285714,1.0,175.0
1.5,1.0,0.04284090909090909,0.36363636363636365,1.0,275.0
1.5,2.0,0.04401137761377614,0.36900369003690037,1.0,271.0
1.5,3.0,0.043402777777777776,0.37037037037037035,1.0,270.0
1.5,4.0,0.04282837670384139,0.37174721189591076,1.0,269.0
1.5,5.0,0.04204963235294118,0.36764705882352944,1.0,272.0
1.5,6.0,0.04244987468671679,0.37593984962406013,1.0,266.0
1.5,7.0,0.047518260292164674,0.398406374501992,1.0,251.0
1.5,8.0,0.050067204301075266,0.4032258064516129,1.0,248.0
1.5,9.0,0.04997469635627531,0.4048582995951417,1.0,247.0
2.0,1.0,0.02255794701986755,0.22075055187637968,1.0,453.0
2.0,2.0,0.02337719298245614,0.21052631578947367,1.0,475.0
2.0,3.0,0.024647215865751335,0.2288329519450801,1.0,437.0
2.0,4.0,0.024647215865751335,0.2288329519450801,1.0,437.0
2.0,5.0,0.025014671361502348,0.2347417840375587,1.0,426.0
2.0,6.0,0.024703865336658352,0.24937655860349128,1.0,401.0
2.0,7.0,0.02598879018612521,0.25380710659898476,1.0,394.0
2.0,8.0,0.023205203442879498,0.2347417840375587,1.0,426.0
2.0,9.0,0.023393993635640414,0.2386634844868735,1.0,419.0
2.5,1.0,0.01200041203131438,0.12360939431396786,1.0,809.0
2.5,2.0,0.011361376292760541,0.11933174224343675,1.0,838.0
2.5,3.0,0.011204688731284477,0.1182033096926714,1.0,846.0
2.5,4.0,0.010789549653579677,0.11547344110854503,1.0,866.0
2.5,5.0,0.011593614718614718,0.12987012987012986,1.0,770.0
2.5,6.0,0.011728896103896104,0.12987012987012986,1.0,770.0
2.5,7.0,0.011996187363834423,0.13071895424836602,1.0,765.0
2.5,8.0,0.0113519885198852,0.12300123001230012,1.0,813.0
2.5,9.0,0.011123737373737374,0.12121212121212122,1.0,825.0
3.0,1.0,0.0047176742233417295,0.05037783375314862,1.0,1985.0
3.0,2.0,0.004651598401598402,0.04995004995004995,1.0,2002.0
3.0,3.0,0.004330632716049383,0.046296296296296294,1.0,2160.0
3.0,4.0,0.0037199164144689437,0.043233895373973194,1.0,2313.0
3.0,5.0,0.004561205744822979,0.050100200400801605,1.0,1996.0
3.0,6.0,0.004552738927738928,0.04995004995004995,1.0,2002.0
3.0,7.0,0.003961131696773198,0.04631773969430292,1.0,2159.0
3.0,8.0,0.004373208565166076,0.05058168942842691,1.0,1977.0
3.0,9.0,0.0038108570539741797,0.04666355576294914,1.0,2143.0
3.5,1.0,0.0010133162669541003,0.013473457289140393,1.0,7422.0
3.5,2.0,0.0009449414136323547,0.012599218848431397,1.0,7937.0
3.5,3.0,0.0009872047661451046,0.012721027859051012,1.0,7861.0
3.5,4.0,0.0009733956306536951,0.012800819252432157,1.0,7812.0
3.5,5.0,0.0009292584389483615,0.012304663467454164,1.0,8127.0
3.5,6.0,0.001003106393994305,0.012943308309603935,1.0,7726.0
3.5,7.0,0.0010066526610644257,0.013130252100840336,1.0,7616.0
3.5,8.0,0.0010280622340951816,0.014841199168892847,1.0,6738.0
3.5,9.0,0.0009964826444671632,0.014604936468526362,1.0,6847.0
4.0,1.0,0.0002914550310885367,0.004378667133724494,1.0,22838.0
4.0,2.0,0.0002750034321801208,0.004118616144975288,1.0,24280.0
4.0,3.0,0.0002702582632389527,0.003948979188879675,1.0,25323.0
4.0,4.0,0.00028869493824516313,0.004283572499464553,1.0,23345.0
4.0,5.0,0.00028656821378340364,0.004219409282700422,1.0,23700.0
4.0,6.0,0.00027946301116802416,0.004198505332101771,1.0,23818.0
4.0,7.0,0.00028319391479066715,0.004100545372534547,1.0,24387.0
4.0,8.0,0.00027695834291114344,0.0038311240517967973,1.0,26102.0
4.0,9.0,0.0002824165029469548,0.003929273084479371,1.0,25450.0
4.5,1.0,6.428915346231288e-05,0.0010942834631883043,1.0,91384.0
4.5,2.0,5.782962888464246e-05,0.0010057326762546515,1.0,99430.0
4.5,3.0,5.719542825989603e-05,0.0009735392044237621,1.0,102718.0
4.5,4.0,5.791236052007138e-05,0.0009805267389641715,1.0,101986.0
4.5,5.0,5.8317923779750656e-05,0.001021627861835048,1.0,97883.0
4.5,6.0,5.397993992669587e-05,0.0010023354415788787,1.0,99767.0
4.5,7.0,5.4212825609930704e-05,0.0009989311436762664,1.0,100107.0
4.5,8.0,5.6484106964212285e-05,0.0009206238146968386,1.0,108622.0
4.5,9.0,5.6550106916880344e-05,0.0009392405301073552,1.0,106469.0
5.0,1.0,1.307838765761879e-05,0.0002583385216319761,1.0,387089.0
5.0,2.0,1.1166561109677621e-05,0.00023457108676784499,1.0,426310.0
5.0,3.0,1.0957289385278553e-05,0.00022719217731895054,1.0,440156.0
5.0,4.0,1.0601997742590019e-05,0.00021747687677107732,1.0,459819.0
5.0,5.0,1.0609838111515777e-05,0.0002171736585726044,1.0,460461.0
5.0,6.0,1.1628960520589125e-05,0.00024269134999490349,1.0,412046.0
5.0,7.0,1.1514379136684323e-05,0.00023977882800904445,1.0,417051.0
5.0,8.0,1.2970719191004452e-05,0.00026325349732271195,1.0,379862.0
5.0,9.0,1.3122673657087003e-05,0.0002680375895915643,1.0,373082.0
5.5,1.0,3.7916666666666666e-06,8.2e-05,1.0,500000.0
5.5,2.0,3.854166666666667e-06,8.6e-05,1.0,500000.0
5.5,3.0,3.7916666666666666e-06,8.4e-05,1.0,500000.0
5.5,4.0,3.4791666666666667e-06,8e-05,1.0,500000.0
5.5,5.0,3.5833333333333335e-06,8.2e-05,1.0,500000.0
5.5,6.0,4e-06,8.4e-05,1.0,500000.0
5.5,7.0,3.75e-06,8e-05,1.0,500000.0
5.5,8.0,4e-06,8.4e-05,1.0,500000.0
5.5,9.0,3.0625e-06,6.6e-05,1.0,500000.0
1 SNR mu BER FER DFR num_iterations
2 1.0 1.0 0.06802839851024209 0.5586592178770949 1.0 179.0
3 1.0 2.0 0.06700608614232209 0.5617977528089888 1.0 178.0
4 1.0 3.0 0.06828034682080925 0.5780346820809249 1.0 173.0
5 1.0 4.0 0.06770833333333333 0.5882352941176471 1.0 170.0
6 1.0 5.0 0.06749260355029586 0.591715976331361 1.0 169.0
7 1.0 6.0 0.06902610441767068 0.6024096385542169 1.0 166.0
8 1.0 7.0 0.06940261044176707 0.6024096385542169 1.0 166.0
9 1.0 8.0 0.07376302083333333 0.625 1.0 160.0
10 1.0 9.0 0.07107142857142858 0.5714285714285714 1.0 175.0
11 1.5 1.0 0.04284090909090909 0.36363636363636365 1.0 275.0
12 1.5 2.0 0.04401137761377614 0.36900369003690037 1.0 271.0
13 1.5 3.0 0.043402777777777776 0.37037037037037035 1.0 270.0
14 1.5 4.0 0.04282837670384139 0.37174721189591076 1.0 269.0
15 1.5 5.0 0.04204963235294118 0.36764705882352944 1.0 272.0
16 1.5 6.0 0.04244987468671679 0.37593984962406013 1.0 266.0
17 1.5 7.0 0.047518260292164674 0.398406374501992 1.0 251.0
18 1.5 8.0 0.050067204301075266 0.4032258064516129 1.0 248.0
19 1.5 9.0 0.04997469635627531 0.4048582995951417 1.0 247.0
20 2.0 1.0 0.02255794701986755 0.22075055187637968 1.0 453.0
21 2.0 2.0 0.02337719298245614 0.21052631578947367 1.0 475.0
22 2.0 3.0 0.024647215865751335 0.2288329519450801 1.0 437.0
23 2.0 4.0 0.024647215865751335 0.2288329519450801 1.0 437.0
24 2.0 5.0 0.025014671361502348 0.2347417840375587 1.0 426.0
25 2.0 6.0 0.024703865336658352 0.24937655860349128 1.0 401.0
26 2.0 7.0 0.02598879018612521 0.25380710659898476 1.0 394.0
27 2.0 8.0 0.023205203442879498 0.2347417840375587 1.0 426.0
28 2.0 9.0 0.023393993635640414 0.2386634844868735 1.0 419.0
29 2.5 1.0 0.01200041203131438 0.12360939431396786 1.0 809.0
30 2.5 2.0 0.011361376292760541 0.11933174224343675 1.0 838.0
31 2.5 3.0 0.011204688731284477 0.1182033096926714 1.0 846.0
32 2.5 4.0 0.010789549653579677 0.11547344110854503 1.0 866.0
33 2.5 5.0 0.011593614718614718 0.12987012987012986 1.0 770.0
34 2.5 6.0 0.011728896103896104 0.12987012987012986 1.0 770.0
35 2.5 7.0 0.011996187363834423 0.13071895424836602 1.0 765.0
36 2.5 8.0 0.0113519885198852 0.12300123001230012 1.0 813.0
37 2.5 9.0 0.011123737373737374 0.12121212121212122 1.0 825.0
38 3.0 1.0 0.0047176742233417295 0.05037783375314862 1.0 1985.0
39 3.0 2.0 0.004651598401598402 0.04995004995004995 1.0 2002.0
40 3.0 3.0 0.004330632716049383 0.046296296296296294 1.0 2160.0
41 3.0 4.0 0.0037199164144689437 0.043233895373973194 1.0 2313.0
42 3.0 5.0 0.004561205744822979 0.050100200400801605 1.0 1996.0
43 3.0 6.0 0.004552738927738928 0.04995004995004995 1.0 2002.0
44 3.0 7.0 0.003961131696773198 0.04631773969430292 1.0 2159.0
45 3.0 8.0 0.004373208565166076 0.05058168942842691 1.0 1977.0
46 3.0 9.0 0.0038108570539741797 0.04666355576294914 1.0 2143.0
47 3.5 1.0 0.0010133162669541003 0.013473457289140393 1.0 7422.0
48 3.5 2.0 0.0009449414136323547 0.012599218848431397 1.0 7937.0
49 3.5 3.0 0.0009872047661451046 0.012721027859051012 1.0 7861.0
50 3.5 4.0 0.0009733956306536951 0.012800819252432157 1.0 7812.0
51 3.5 5.0 0.0009292584389483615 0.012304663467454164 1.0 8127.0
52 3.5 6.0 0.001003106393994305 0.012943308309603935 1.0 7726.0
53 3.5 7.0 0.0010066526610644257 0.013130252100840336 1.0 7616.0
54 3.5 8.0 0.0010280622340951816 0.014841199168892847 1.0 6738.0
55 3.5 9.0 0.0009964826444671632 0.014604936468526362 1.0 6847.0
56 4.0 1.0 0.0002914550310885367 0.004378667133724494 1.0 22838.0
57 4.0 2.0 0.0002750034321801208 0.004118616144975288 1.0 24280.0
58 4.0 3.0 0.0002702582632389527 0.003948979188879675 1.0 25323.0
59 4.0 4.0 0.00028869493824516313 0.004283572499464553 1.0 23345.0
60 4.0 5.0 0.00028656821378340364 0.004219409282700422 1.0 23700.0
61 4.0 6.0 0.00027946301116802416 0.004198505332101771 1.0 23818.0
62 4.0 7.0 0.00028319391479066715 0.004100545372534547 1.0 24387.0
63 4.0 8.0 0.00027695834291114344 0.0038311240517967973 1.0 26102.0
64 4.0 9.0 0.0002824165029469548 0.003929273084479371 1.0 25450.0
65 4.5 1.0 6.428915346231288e-05 0.0010942834631883043 1.0 91384.0
66 4.5 2.0 5.782962888464246e-05 0.0010057326762546515 1.0 99430.0
67 4.5 3.0 5.719542825989603e-05 0.0009735392044237621 1.0 102718.0
68 4.5 4.0 5.791236052007138e-05 0.0009805267389641715 1.0 101986.0
69 4.5 5.0 5.8317923779750656e-05 0.001021627861835048 1.0 97883.0
70 4.5 6.0 5.397993992669587e-05 0.0010023354415788787 1.0 99767.0
71 4.5 7.0 5.4212825609930704e-05 0.0009989311436762664 1.0 100107.0
72 4.5 8.0 5.6484106964212285e-05 0.0009206238146968386 1.0 108622.0
73 4.5 9.0 5.6550106916880344e-05 0.0009392405301073552 1.0 106469.0
74 5.0 1.0 1.307838765761879e-05 0.0002583385216319761 1.0 387089.0
75 5.0 2.0 1.1166561109677621e-05 0.00023457108676784499 1.0 426310.0
76 5.0 3.0 1.0957289385278553e-05 0.00022719217731895054 1.0 440156.0
77 5.0 4.0 1.0601997742590019e-05 0.00021747687677107732 1.0 459819.0
78 5.0 5.0 1.0609838111515777e-05 0.0002171736585726044 1.0 460461.0
79 5.0 6.0 1.1628960520589125e-05 0.00024269134999490349 1.0 412046.0
80 5.0 7.0 1.1514379136684323e-05 0.00023977882800904445 1.0 417051.0
81 5.0 8.0 1.2970719191004452e-05 0.00026325349732271195 1.0 379862.0
82 5.0 9.0 1.3122673657087003e-05 0.0002680375895915643 1.0 373082.0
83 5.5 1.0 3.7916666666666666e-06 8.2e-05 1.0 500000.0
84 5.5 2.0 3.854166666666667e-06 8.6e-05 1.0 500000.0
85 5.5 3.0 3.7916666666666666e-06 8.4e-05 1.0 500000.0
86 5.5 4.0 3.4791666666666667e-06 8e-05 1.0 500000.0
87 5.5 5.0 3.5833333333333335e-06 8.2e-05 1.0 500000.0
88 5.5 6.0 4e-06 8.4e-05 1.0 500000.0
89 5.5 7.0 3.75e-06 8e-05 1.0 500000.0
90 5.5 8.0 4e-06 8.4e-05 1.0 500000.0
91 5.5 9.0 3.0625e-06 6.6e-05 1.0 500000.0

11
latex/thesis/res/admm/ber_2d_963965_metadata.json Normal file
View File

@ -0,0 +1,11 @@
{
"duration": 237.38844839399098,
"name": "ber_2d_963965",
"platform": "Linux-6.2.10-arch1-1-x86_64-with-glibc2.37",
"K": 200,
"rho": 1,
"epsilon_pri": 1e-05,
"epsilon_dual": 1e-05,
"max_frame_errors": 100,
"end_time": "2023-04-17 05:11:11.828781"
}

91
latex/thesis/res/admm/ber_2d_bch_31_11.csv Normal file
View File

@ -0,0 +1,91 @@
SNR,mu,BER,FER,DFR,num_iterations
1.0,1.0,0.15556711758584807,0.8064516129032258,1.0,124.0
1.0,2.0,0.15578284815106216,0.8130081300813008,1.0,123.0
1.0,3.0,0.15106215578284815,0.8130081300813008,1.0,123.0
1.0,4.0,0.15237345921846315,0.8130081300813008,1.0,123.0
1.0,5.0,0.15415124272871497,0.819672131147541,1.0,122.0
1.0,6.0,0.15415124272871497,0.819672131147541,1.0,122.0
1.0,7.0,0.1570597567424643,0.819672131147541,1.0,122.0
1.0,8.0,0.11884550084889643,0.7518796992481203,1.0,133.0
1.0,9.0,0.11908804268736357,0.7518796992481203,1.0,133.0
1.5,1.0,0.12004608294930876,0.7142857142857143,1.0,140.0
1.5,2.0,0.1067330591037021,0.6711409395973155,1.0,149.0
1.5,3.0,0.10586707079454427,0.6711409395973155,1.0,149.0
1.5,4.0,0.10651656202641265,0.6711409395973155,1.0,149.0
1.5,5.0,0.10527462946817785,0.6756756756756757,1.0,148.0
1.5,6.0,0.10621022602589422,0.6802721088435374,1.0,147.0
1.5,7.0,0.11813426329555361,0.6756756756756757,1.0,148.0
1.5,8.0,0.11766071014156416,0.7194244604316546,1.0,139.0
1.5,9.0,0.11560943927256982,0.6711409395973155,1.0,149.0
2.0,1.0,0.0959874114870181,0.6097560975609756,1.0,164.0
2.0,2.0,0.09500393391030684,0.6097560975609756,1.0,164.0
2.0,3.0,0.09737156511350059,0.6172839506172839,1.0,162.0
2.0,4.0,0.09575336872192731,0.6329113924050633,1.0,158.0
2.0,5.0,0.09698097601323408,0.6410256410256411,1.0,156.0
2.0,6.0,0.09444228527011271,0.6024096385542169,1.0,166.0
2.0,7.0,0.10288846721484293,0.6535947712418301,1.0,153.0
2.0,8.0,0.0940536338904003,0.6024096385542169,1.0,166.0
2.0,9.0,0.0959874114870181,0.6097560975609756,1.0,164.0
2.5,1.0,0.06875662577616234,0.4694835680751174,1.0,213.0
2.5,2.0,0.07363621009964533,0.5235602094240838,1.0,191.0
2.5,3.0,0.07721345229924502,0.5319148936170213,1.0,188.0
2.5,4.0,0.0742447516641065,0.5291005291005291,1.0,189.0
2.5,5.0,0.07572156196943973,0.5263157894736842,1.0,190.0
2.5,6.0,0.0766562608394034,0.5376344086021505,1.0,186.0
2.5,7.0,0.08090391581852682,0.5347593582887701,1.0,187.0
2.5,8.0,0.07627688172043011,0.5208333333333334,1.0,192.0
2.5,9.0,0.07927247769389156,0.5319148936170213,1.0,188.0
3.0,1.0,0.06048387096774194,0.4166666666666667,1.0,240.0
3.0,2.0,0.058726220016542596,0.42735042735042733,1.0,234.0
3.0,3.0,0.06290322580645161,0.4166666666666667,1.0,240.0
3.0,4.0,0.053249525616698296,0.36764705882352944,1.0,272.0
3.0,5.0,0.051949734421557196,0.40160642570281124,1.0,249.0
3.0,6.0,0.052618667974978536,0.38022813688212925,1.0,263.0
3.0,7.0,0.051319648093841645,0.3787878787878788,1.0,264.0
3.0,8.0,0.05259194175975901,0.38910505836575876,1.0,257.0
3.0,9.0,0.05203312322333457,0.3831417624521073,1.0,261.0
3.5,1.0,0.036015395894428155,0.2840909090909091,1.0,352.0
3.5,2.0,0.027707808564231738,0.2518891687657431,1.0,397.0
3.5,3.0,0.03468208092485549,0.28901734104046245,1.0,346.0
3.5,4.0,0.03369175627240143,0.24691358024691357,1.0,405.0
3.5,5.0,0.037666602279312345,0.2994011976047904,1.0,334.0
3.5,6.0,0.04340900039824771,0.30864197530864196,1.0,324.0
3.5,7.0,0.04017415396793984,0.3067484662576687,1.0,326.0
3.5,8.0,0.039967539054574966,0.31446540880503143,1.0,318.0
3.5,9.0,0.03776798236826287,0.3105590062111801,1.0,322.0
4.0,1.0,0.02661290322580645,0.22727272727272727,1.0,440.0
4.0,2.0,0.021980633279866928,0.1841620626151013,1.0,543.0
4.0,3.0,0.027336059366954414,0.2347417840375587,1.0,426.0
4.0,4.0,0.021116724964373623,0.20080321285140562,1.0,498.0
4.0,5.0,0.020327912556651558,0.2066115702479339,1.0,484.0
4.0,6.0,0.023510114816839803,0.211864406779661,1.0,472.0
4.0,7.0,0.027638771267995996,0.2386634844868735,1.0,419.0
4.0,8.0,0.02800179211469534,0.23148148148148148,1.0,432.0
4.0,9.0,0.01852991873922679,0.19083969465648856,1.0,524.0
4.5,1.0,0.015221912474003275,0.13717421124828533,1.0,729.0
4.5,2.0,0.01072844310288395,0.11273957158962795,1.0,887.0
4.5,3.0,0.011425524622005561,0.1180637544273908,1.0,847.0
4.5,4.0,0.010934937124111536,0.11299435028248588,1.0,885.0
4.5,5.0,0.013650767855691883,0.12594458438287154,1.0,794.0
4.5,6.0,0.0112350992116388,0.1180637544273908,1.0,847.0
4.5,7.0,0.011014948859166011,0.11614401858304298,1.0,861.0
4.5,8.0,0.014099551377910703,0.13245033112582782,1.0,755.0
4.5,9.0,0.010456619161048085,0.1251564455569462,1.0,799.0
5.0,1.0,0.008647906657515443,0.0851063829787234,1.0,1175.0
5.0,2.0,0.007123864947574375,0.07776049766718507,1.0,1286.0
5.0,3.0,0.008838923306985687,0.08278145695364239,1.0,1208.0
5.0,4.0,0.006824372759856631,0.08888888888888889,1.0,1125.0
5.0,5.0,0.009216589861751152,0.08453085376162299,1.0,1183.0
5.0,6.0,0.008640069337233552,0.08396305625524769,1.0,1191.0
5.0,7.0,0.007877291764901673,0.08598452278589853,1.0,1163.0
5.0,8.0,0.006683375104427736,0.0835421888053467,1.0,1197.0
5.0,9.0,0.006113939269908675,0.07930214115781126,1.0,1261.0
5.5,1.0,0.0032945070730412518,0.0484027105517909,1.0,2066.0
5.5,2.0,0.0038000337780780273,0.05235602094240838,1.0,1910.0
5.5,3.0,0.003721424774056353,0.0531632110579479,1.0,1881.0
5.5,4.0,0.0038782915543127267,0.05159958720330237,1.0,1938.0
5.5,5.0,0.0037959352475481507,0.045787545787545784,1.0,2184.0
5.5,6.0,0.003340032677375978,0.04482294935006723,1.0,2231.0
5.5,7.0,0.003154893703237384,0.04486316733961418,1.0,2229.0
5.5,8.0,0.003037117452440033,0.04006410256410257,1.0,2496.0
5.5,9.0,0.003275750631646983,0.04553734061930783,1.0,2196.0
1 SNR mu BER FER DFR num_iterations
2 1.0 1.0 0.15556711758584807 0.8064516129032258 1.0 124.0
3 1.0 2.0 0.15578284815106216 0.8130081300813008 1.0 123.0
4 1.0 3.0 0.15106215578284815 0.8130081300813008 1.0 123.0
5 1.0 4.0 0.15237345921846315 0.8130081300813008 1.0 123.0
6 1.0 5.0 0.15415124272871497 0.819672131147541 1.0 122.0
7 1.0 6.0 0.15415124272871497 0.819672131147541 1.0 122.0
8 1.0 7.0 0.1570597567424643 0.819672131147541 1.0 122.0
9 1.0 8.0 0.11884550084889643 0.7518796992481203 1.0 133.0
10 1.0 9.0 0.11908804268736357 0.7518796992481203 1.0 133.0
11 1.5 1.0 0.12004608294930876 0.7142857142857143 1.0 140.0
12 1.5 2.0 0.1067330591037021 0.6711409395973155 1.0 149.0
13 1.5 3.0 0.10586707079454427 0.6711409395973155 1.0 149.0
14 1.5 4.0 0.10651656202641265 0.6711409395973155 1.0 149.0
15 1.5 5.0 0.10527462946817785 0.6756756756756757 1.0 148.0
16 1.5 6.0 0.10621022602589422 0.6802721088435374 1.0 147.0
17 1.5 7.0 0.11813426329555361 0.6756756756756757 1.0 148.0
18 1.5 8.0 0.11766071014156416 0.7194244604316546 1.0 139.0
19 1.5 9.0 0.11560943927256982 0.6711409395973155 1.0 149.0
20 2.0 1.0 0.0959874114870181 0.6097560975609756 1.0 164.0
21 2.0 2.0 0.09500393391030684 0.6097560975609756 1.0 164.0
22 2.0 3.0 0.09737156511350059 0.6172839506172839 1.0 162.0
23 2.0 4.0 0.09575336872192731 0.6329113924050633 1.0 158.0
24 2.0 5.0 0.09698097601323408 0.6410256410256411 1.0 156.0
25 2.0 6.0 0.09444228527011271 0.6024096385542169 1.0 166.0
26 2.0 7.0 0.10288846721484293 0.6535947712418301 1.0 153.0
27 2.0 8.0 0.0940536338904003 0.6024096385542169 1.0 166.0
28 2.0 9.0 0.0959874114870181 0.6097560975609756 1.0 164.0
29 2.5 1.0 0.06875662577616234 0.4694835680751174 1.0 213.0
30 2.5 2.0 0.07363621009964533 0.5235602094240838 1.0 191.0
31 2.5 3.0 0.07721345229924502 0.5319148936170213 1.0 188.0
32 2.5 4.0 0.0742447516641065 0.5291005291005291 1.0 189.0
33 2.5 5.0 0.07572156196943973 0.5263157894736842 1.0 190.0
34 2.5 6.0 0.0766562608394034 0.5376344086021505 1.0 186.0
35 2.5 7.0 0.08090391581852682 0.5347593582887701 1.0 187.0
36 2.5 8.0 0.07627688172043011 0.5208333333333334 1.0 192.0
37 2.5 9.0 0.07927247769389156 0.5319148936170213 1.0 188.0
38 3.0 1.0 0.06048387096774194 0.4166666666666667 1.0 240.0
39 3.0 2.0 0.058726220016542596 0.42735042735042733 1.0 234.0
40 3.0 3.0 0.06290322580645161 0.4166666666666667 1.0 240.0
41 3.0 4.0 0.053249525616698296 0.36764705882352944 1.0 272.0
42 3.0 5.0 0.051949734421557196 0.40160642570281124 1.0 249.0
43 3.0 6.0 0.052618667974978536 0.38022813688212925 1.0 263.0
44 3.0 7.0 0.051319648093841645 0.3787878787878788 1.0 264.0
45 3.0 8.0 0.05259194175975901 0.38910505836575876 1.0 257.0
46 3.0 9.0 0.05203312322333457 0.3831417624521073 1.0 261.0
47 3.5 1.0 0.036015395894428155 0.2840909090909091 1.0 352.0
48 3.5 2.0 0.027707808564231738 0.2518891687657431 1.0 397.0
49 3.5 3.0 0.03468208092485549 0.28901734104046245 1.0 346.0
50 3.5 4.0 0.03369175627240143 0.24691358024691357 1.0 405.0
51 3.5 5.0 0.037666602279312345 0.2994011976047904 1.0 334.0
52 3.5 6.0 0.04340900039824771 0.30864197530864196 1.0 324.0
53 3.5 7.0 0.04017415396793984 0.3067484662576687 1.0 326.0
54 3.5 8.0 0.039967539054574966 0.31446540880503143 1.0 318.0
55 3.5 9.0 0.03776798236826287 0.3105590062111801 1.0 322.0
56 4.0 1.0 0.02661290322580645 0.22727272727272727 1.0 440.0
57 4.0 2.0 0.021980633279866928 0.1841620626151013 1.0 543.0
58 4.0 3.0 0.027336059366954414 0.2347417840375587 1.0 426.0
59 4.0 4.0 0.021116724964373623 0.20080321285140562 1.0 498.0
60 4.0 5.0 0.020327912556651558 0.2066115702479339 1.0 484.0
61 4.0 6.0 0.023510114816839803 0.211864406779661 1.0 472.0
62 4.0 7.0 0.027638771267995996 0.2386634844868735 1.0 419.0
63 4.0 8.0 0.02800179211469534 0.23148148148148148 1.0 432.0
64 4.0 9.0 0.01852991873922679 0.19083969465648856 1.0 524.0
65 4.5 1.0 0.015221912474003275 0.13717421124828533 1.0 729.0
66 4.5 2.0 0.01072844310288395 0.11273957158962795 1.0 887.0
67 4.5 3.0 0.011425524622005561 0.1180637544273908 1.0 847.0
68 4.5 4.0 0.010934937124111536 0.11299435028248588 1.0 885.0
69 4.5 5.0 0.013650767855691883 0.12594458438287154 1.0 794.0
70 4.5 6.0 0.0112350992116388 0.1180637544273908 1.0 847.0
71 4.5 7.0 0.011014948859166011 0.11614401858304298 1.0 861.0
72 4.5 8.0 0.014099551377910703 0.13245033112582782 1.0 755.0
73 4.5 9.0 0.010456619161048085 0.1251564455569462 1.0 799.0
74 5.0 1.0 0.008647906657515443 0.0851063829787234 1.0 1175.0
75 5.0 2.0 0.007123864947574375 0.07776049766718507 1.0 1286.0
76 5.0 3.0 0.008838923306985687 0.08278145695364239 1.0 1208.0
77 5.0 4.0 0.006824372759856631 0.08888888888888889 1.0 1125.0
78 5.0 5.0 0.009216589861751152 0.08453085376162299 1.0 1183.0
79 5.0 6.0 0.008640069337233552 0.08396305625524769 1.0 1191.0
80 5.0 7.0 0.007877291764901673 0.08598452278589853 1.0 1163.0
81 5.0 8.0 0.006683375104427736 0.0835421888053467 1.0 1197.0
82 5.0 9.0 0.006113939269908675 0.07930214115781126 1.0 1261.0
83 5.5 1.0 0.0032945070730412518 0.0484027105517909 1.0 2066.0
84 5.5 2.0 0.0038000337780780273 0.05235602094240838 1.0 1910.0
85 5.5 3.0 0.003721424774056353 0.0531632110579479 1.0 1881.0
86 5.5 4.0 0.0038782915543127267 0.05159958720330237 1.0 1938.0
87 5.5 5.0 0.0037959352475481507 0.045787545787545784 1.0 2184.0
88 5.5 6.0 0.003340032677375978 0.04482294935006723 1.0 2231.0
89 5.5 7.0 0.003154893703237384 0.04486316733961418 1.0 2229.0
90 5.5 8.0 0.003037117452440033 0.04006410256410257 1.0 2496.0
91 5.5 9.0 0.003275750631646983 0.04553734061930783 1.0 2196.0

11
latex/thesis/res/admm/ber_2d_bch_31_11_metadata.json Normal file
View File

@ -0,0 +1,11 @@
{
"duration": 7.9043709189863876,
"name": "ber_2d_bch_31_11",
"platform": "Linux-6.2.10-arch1-1-x86_64-with-glibc2.37",
"K": 200,
"rho": 1,
"epsilon_pri": 1e-05,
"epsilon_dual": 1e-05,
"max_frame_errors": 100,
"end_time": "2023-04-17 05:40:11.757944"
}

91
latex/thesis/res/admm/ber_2d_bch_31_26.csv Normal file
View File

@ -0,0 +1,91 @@
SNR,mu,BER,FER,DFR,num_iterations
1.0,1.0,0.0765838941749826,0.7194244604316546,1.0,139.0
1.0,2.0,0.07797632861452773,0.7194244604316546,1.0,139.0
1.0,3.0,0.07635182176839174,0.7194244604316546,1.0,139.0
1.0,4.0,0.07635182176839174,0.7194244604316546,1.0,139.0
1.0,5.0,0.07704803898816431,0.7194244604316546,1.0,139.0
1.0,6.0,0.0765838941749826,0.7194244604316546,1.0,139.0
1.0,7.0,0.07526881720430108,0.7246376811594203,1.0,138.0
1.0,8.0,0.0688460705780472,0.6711409395973155,1.0,149.0
1.0,9.0,0.07101104135094176,0.6711409395973155,1.0,149.0
1.5,1.0,0.06106715358084804,0.6289308176100629,1.0,159.0
1.5,2.0,0.05985455901547641,0.5780346820809249,1.0,173.0
1.5,3.0,0.06391129032258064,0.625,1.0,160.0
1.5,4.0,0.06431451612903226,0.625,1.0,160.0
1.5,5.0,0.06391129032258064,0.625,1.0,160.0
1.5,6.0,0.05888068402642829,0.6024096385542169,1.0,166.0
1.5,7.0,0.06451612903225806,0.6289308176100629,1.0,159.0
1.5,8.0,0.05672969966629588,0.5747126436781609,1.0,174.0
1.5,9.0,0.052594670406732116,0.5434782608695652,1.0,184.0
2.0,1.0,0.04431715405486886,0.4672897196261682,1.0,214.0
2.0,2.0,0.04528535980148883,0.4807692307692308,1.0,208.0
2.0,3.0,0.046892210857592445,0.4878048780487805,1.0,205.0
2.0,4.0,0.046370967741935484,0.4807692307692308,1.0,208.0
2.0,5.0,0.04594807238394965,0.4878048780487805,1.0,205.0
2.0,6.0,0.04606079404466501,0.4807692307692308,1.0,208.0
2.0,7.0,0.04262151510728361,0.45248868778280543,1.0,221.0
2.0,8.0,0.0433560224918615,0.45871559633027525,1.0,218.0
2.0,9.0,0.04320804971885173,0.45871559633027525,1.0,218.0
2.5,1.0,0.03214285714285714,0.35714285714285715,1.0,280.0
2.5,2.0,0.031586021505376344,0.3472222222222222,1.0,288.0
2.5,3.0,0.03261385199240987,0.36764705882352944,1.0,272.0
2.5,4.0,0.03146016186025305,0.35335689045936397,1.0,283.0
2.5,5.0,0.03494623655913978,0.3968253968253968,1.0,252.0
2.5,6.0,0.031329774889765606,0.3597122302158273,1.0,278.0
2.5,7.0,0.03225806451612903,0.36900369003690037,1.0,271.0
2.5,8.0,0.03225806451612903,0.3597122302158273,1.0,278.0
2.5,9.0,0.03381123058542413,0.37037037037037035,1.0,270.0
3.0,1.0,0.023177376113465365,0.2680965147453083,1.0,373.0
3.0,2.0,0.023579943899018234,0.2717391304347826,1.0,368.0
3.0,3.0,0.01829222011385199,0.23529411764705882,1.0,425.0
3.0,4.0,0.022970395555186998,0.2570694087403599,1.0,389.0
3.0,5.0,0.02275042444821732,0.2631578947368421,1.0,380.0
3.0,6.0,0.02424016408726459,0.28901734104046245,1.0,346.0
3.0,7.0,0.022255563890972743,0.25839793281653745,1.0,387.0
3.0,8.0,0.022693678810538215,0.2695417789757412,1.0,371.0
3.0,9.0,0.02211731794737302,0.27100271002710025,1.0,369.0
3.5,1.0,0.015180265654648957,0.18975332068311196,1.0,527.0
3.5,2.0,0.014202748548099591,0.17825311942959002,1.0,561.0
3.5,3.0,0.01548874931398256,0.1890359168241966,1.0,529.0
3.5,4.0,0.014476233899464265,0.17667844522968199,1.0,566.0
3.5,5.0,0.014599803797103121,0.17889087656529518,1.0,559.0
3.5,6.0,0.014198091776465242,0.176056338028169,1.0,568.0
3.5,7.0,0.013418040418423791,0.1697792869269949,1.0,589.0
3.5,8.0,0.013188987195691598,0.17035775127768313,1.0,587.0
3.5,9.0,0.014832680132649986,0.18691588785046728,1.0,535.0
4.0,1.0,0.008501854313903856,0.10845986984815618,1.0,922.0
4.0,2.0,0.008831245612090307,0.1145475372279496,1.0,873.0
4.0,3.0,0.008442677735955254,0.10905125408942203,1.0,917.0
4.0,4.0,0.009464941085570795,0.11976047904191617,1.0,835.0
4.0,5.0,0.009556500370558177,0.12091898428053205,1.0,827.0
4.0,6.0,0.009843453510436433,0.12254901960784313,1.0,816.0
4.0,7.0,0.009836718438868977,0.12345679012345678,1.0,810.0
4.0,8.0,0.008116545265348595,0.10752688172043011,1.0,930.0
4.0,9.0,0.009953231802374386,0.12391573729863693,1.0,807.0
4.5,1.0,0.005267482775331325,0.06531678641410843,1.0,1531.0
4.5,2.0,0.005180586433994714,0.06501950585175553,1.0,1538.0
4.5,3.0,0.0047245657568238215,0.06153846153846154,1.0,1625.0
4.5,4.0,0.004139697240786542,0.054377379010331704,1.0,1839.0
4.5,5.0,0.004997156090030064,0.06297229219143577,1.0,1588.0
4.5,6.0,0.004663816556548776,0.06341154090044387,1.0,1577.0
4.5,7.0,0.004071238002841204,0.05370569280343716,1.0,1862.0
4.5,8.0,0.004468241548990404,0.058445353594389245,1.0,1711.0
4.5,9.0,0.0050808613681570525,0.06702412868632708,1.0,1492.0
5.0,1.0,0.001946607341490545,0.027808676307007785,1.0,3596.0
5.0,2.0,0.001905760993093802,0.02710027100271003,1.0,3690.0
5.0,3.0,0.0020369719420634705,0.02794076557697681,1.0,3579.0
5.0,4.0,0.00206887164829182,0.02812939521800281,1.0,3555.0
5.0,5.0,0.001952748514486377,0.025980774227071967,1.0,3849.0
5.0,6.0,0.002093848292004974,0.02834467120181406,1.0,3528.0
5.0,7.0,0.002050986812514618,0.02788622420524261,1.0,3586.0
5.0,8.0,0.0022568160646889916,0.02977076510866329,1.0,3359.0
5.0,9.0,0.0024057902765123205,0.031735956839098696,1.0,3151.0
5.5,1.0,0.0010411933969407844,0.014671361502347418,1.0,6816.0
5.5,2.0,0.0009072175637320338,0.013392259274139548,1.0,7467.0
5.5,3.0,0.001011999421714616,0.014457134595923089,1.0,6917.0
5.5,4.0,0.0009221491651333256,0.013296104241457253,1.0,7521.0
5.5,5.0,0.001004071051718787,0.014148273910582909,1.0,7068.0
5.5,6.0,0.0008670412835514011,0.012799180852425445,1.0,7813.0
5.5,7.0,0.0008713844910398943,0.013049719431032232,1.0,7663.0
5.5,8.0,0.0009384784704507257,0.013224014810896589,1.0,7562.0
5.5,9.0,0.0008598486038257373,0.012171372930866602,1.0,8216.0
1 SNR mu BER FER DFR num_iterations
2 1.0 1.0 0.0765838941749826 0.7194244604316546 1.0 139.0
3 1.0 2.0 0.07797632861452773 0.7194244604316546 1.0 139.0
4 1.0 3.0 0.07635182176839174 0.7194244604316546 1.0 139.0
5 1.0 4.0 0.07635182176839174 0.7194244604316546 1.0 139.0
6 1.0 5.0 0.07704803898816431 0.7194244604316546 1.0 139.0
7 1.0 6.0 0.0765838941749826 0.7194244604316546 1.0 139.0
8 1.0 7.0 0.07526881720430108 0.7246376811594203 1.0 138.0
9 1.0 8.0 0.0688460705780472 0.6711409395973155 1.0 149.0
10 1.0 9.0 0.07101104135094176 0.6711409395973155 1.0 149.0
11 1.5 1.0 0.06106715358084804 0.6289308176100629 1.0 159.0
12 1.5 2.0 0.05985455901547641 0.5780346820809249 1.0 173.0
13 1.5 3.0 0.06391129032258064 0.625 1.0 160.0
14 1.5 4.0 0.06431451612903226 0.625 1.0 160.0
15 1.5 5.0 0.06391129032258064 0.625 1.0 160.0
16 1.5 6.0 0.05888068402642829 0.6024096385542169 1.0 166.0
17 1.5 7.0 0.06451612903225806 0.6289308176100629 1.0 159.0
18 1.5 8.0 0.05672969966629588 0.5747126436781609 1.0 174.0
19 1.5 9.0 0.052594670406732116 0.5434782608695652 1.0 184.0
20 2.0 1.0 0.04431715405486886 0.4672897196261682 1.0 214.0
21 2.0 2.0 0.04528535980148883 0.4807692307692308 1.0 208.0
22 2.0 3.0 0.046892210857592445 0.4878048780487805 1.0 205.0
23 2.0 4.0 0.046370967741935484 0.4807692307692308 1.0 208.0
24 2.0 5.0 0.04594807238394965 0.4878048780487805 1.0 205.0
25 2.0 6.0 0.04606079404466501 0.4807692307692308 1.0 208.0
26 2.0 7.0 0.04262151510728361 0.45248868778280543 1.0 221.0
27 2.0 8.0 0.0433560224918615 0.45871559633027525 1.0 218.0
28 2.0 9.0 0.04320804971885173 0.45871559633027525 1.0 218.0
29 2.5 1.0 0.03214285714285714 0.35714285714285715 1.0 280.0
30 2.5 2.0 0.031586021505376344 0.3472222222222222 1.0 288.0
31 2.5 3.0 0.03261385199240987 0.36764705882352944 1.0 272.0
32 2.5 4.0 0.03146016186025305 0.35335689045936397 1.0 283.0
33 2.5 5.0 0.03494623655913978 0.3968253968253968 1.0 252.0
34 2.5 6.0 0.031329774889765606 0.3597122302158273 1.0 278.0
35 2.5 7.0 0.03225806451612903 0.36900369003690037 1.0 271.0
36 2.5 8.0 0.03225806451612903 0.3597122302158273 1.0 278.0
37 2.5 9.0 0.03381123058542413 0.37037037037037035 1.0 270.0
38 3.0 1.0 0.023177376113465365 0.2680965147453083 1.0 373.0
39 3.0 2.0 0.023579943899018234 0.2717391304347826 1.0 368.0
40 3.0 3.0 0.01829222011385199 0.23529411764705882 1.0 425.0
41 3.0 4.0 0.022970395555186998 0.2570694087403599 1.0 389.0
42 3.0 5.0 0.02275042444821732 0.2631578947368421 1.0 380.0
43 3.0 6.0 0.02424016408726459 0.28901734104046245 1.0 346.0
44 3.0 7.0 0.022255563890972743 0.25839793281653745 1.0 387.0
45 3.0 8.0 0.022693678810538215 0.2695417789757412 1.0 371.0
46 3.0 9.0 0.02211731794737302 0.27100271002710025 1.0 369.0
47 3.5 1.0 0.015180265654648957 0.18975332068311196 1.0 527.0
48 3.5 2.0 0.014202748548099591 0.17825311942959002 1.0 561.0
49 3.5 3.0 0.01548874931398256 0.1890359168241966 1.0 529.0
50 3.5 4.0 0.014476233899464265 0.17667844522968199 1.0 566.0
51 3.5 5.0 0.014599803797103121 0.17889087656529518 1.0 559.0
52 3.5 6.0 0.014198091776465242 0.176056338028169 1.0 568.0
53 3.5 7.0 0.013418040418423791 0.1697792869269949 1.0 589.0
54 3.5 8.0 0.013188987195691598 0.17035775127768313 1.0 587.0
55 3.5 9.0 0.014832680132649986 0.18691588785046728 1.0 535.0
56 4.0 1.0 0.008501854313903856 0.10845986984815618 1.0 922.0
57 4.0 2.0 0.008831245612090307 0.1145475372279496 1.0 873.0
58 4.0 3.0 0.008442677735955254 0.10905125408942203 1.0 917.0
59 4.0 4.0 0.009464941085570795 0.11976047904191617 1.0 835.0
60 4.0 5.0 0.009556500370558177 0.12091898428053205 1.0 827.0
61 4.0 6.0 0.009843453510436433 0.12254901960784313 1.0 816.0
62 4.0 7.0 0.009836718438868977 0.12345679012345678 1.0 810.0
63 4.0 8.0 0.008116545265348595 0.10752688172043011 1.0 930.0
64 4.0 9.0 0.009953231802374386 0.12391573729863693 1.0 807.0
65 4.5 1.0 0.005267482775331325 0.06531678641410843 1.0 1531.0
66 4.5 2.0 0.005180586433994714 0.06501950585175553 1.0 1538.0
67 4.5 3.0 0.0047245657568238215 0.06153846153846154 1.0 1625.0
68 4.5 4.0 0.004139697240786542 0.054377379010331704 1.0 1839.0
69 4.5 5.0 0.004997156090030064 0.06297229219143577 1.0 1588.0
70 4.5 6.0 0.004663816556548776 0.06341154090044387 1.0 1577.0
71 4.5 7.0 0.004071238002841204 0.05370569280343716 1.0 1862.0
72 4.5 8.0 0.004468241548990404 0.058445353594389245 1.0 1711.0
73 4.5 9.0 0.0050808613681570525 0.06702412868632708 1.0 1492.0
74 5.0 1.0 0.001946607341490545 0.027808676307007785 1.0 3596.0
75 5.0 2.0 0.001905760993093802 0.02710027100271003 1.0 3690.0
76 5.0 3.0 0.0020369719420634705 0.02794076557697681 1.0 3579.0
77 5.0 4.0 0.00206887164829182 0.02812939521800281 1.0 3555.0
78 5.0 5.0 0.001952748514486377 0.025980774227071967 1.0 3849.0
79 5.0 6.0 0.002093848292004974 0.02834467120181406 1.0 3528.0
80 5.0 7.0 0.002050986812514618 0.02788622420524261 1.0 3586.0
81 5.0 8.0 0.0022568160646889916 0.02977076510866329 1.0 3359.0
82 5.0 9.0 0.0024057902765123205 0.031735956839098696 1.0 3151.0
83 5.5 1.0 0.0010411933969407844 0.014671361502347418 1.0 6816.0
84 5.5 2.0 0.0009072175637320338 0.013392259274139548 1.0 7467.0
85 5.5 3.0 0.001011999421714616 0.014457134595923089 1.0 6917.0
86 5.5 4.0 0.0009221491651333256 0.013296104241457253 1.0 7521.0
87 5.5 5.0 0.001004071051718787 0.014148273910582909 1.0 7068.0
88 5.5 6.0 0.0008670412835514011 0.012799180852425445 1.0 7813.0
89 5.5 7.0 0.0008713844910398943 0.013049719431032232 1.0 7663.0
90 5.5 8.0 0.0009384784704507257 0.013224014810896589 1.0 7562.0
91 5.5 9.0 0.0008598486038257373 0.012171372930866602 1.0 8216.0

11
latex/thesis/res/admm/ber_2d_bch_31_26_metadata.json Normal file
View File

@ -0,0 +1,11 @@
{
"duration": 3.1022358250047546,
"name": "ber_2d_bch_31_26",
"platform": "Linux-6.2.10-arch1-1-x86_64-with-glibc2.37",
"K": 200,
"rho": 1,
"epsilon_pri": 1e-05,
"epsilon_dual": 1e-05,
"max_frame_errors": 100,
"end_time": "2023-04-17 05:40:31.112140"
}

46
latex/thesis/res/admm/ber_2d_pegreg252x504.csv Normal file
View File

@ -0,0 +1,46 @@
SNR,mu,BER,FER,DFR,num_iterations
1.0,1.0,0.06912223578890246,0.8547008547008547,1.0,117.0
1.0,2.0,0.06871523538190205,0.8547008547008547,1.0,117.0
1.0,3.0,0.06785714285714285,0.8695652173913043,1.0,115.0
1.0,4.0,0.0679951690821256,0.8695652173913043,1.0,115.0
1.0,5.0,0.06808688387635756,0.8771929824561403,1.0,114.0
1.0,6.0,0.06812169312169312,0.8771929824561403,1.0,114.0
1.0,7.0,0.06818664965986394,0.8928571428571429,1.0,112.0
1.0,8.0,0.06794340924775708,0.8695652173913043,1.0,115.0
1.0,9.0,0.0666839199447895,0.8695652173913043,1.0,115.0
1.5,1.0,0.029565456545654567,0.49504950495049505,1.0,202.0
1.5,2.0,0.029304777466542174,0.49019607843137253,1.0,204.0
1.5,3.0,0.029367053620784966,0.4975124378109453,1.0,201.0
1.5,4.0,0.028281068524970965,0.4878048780487805,1.0,205.0
1.5,5.0,0.029083911621600064,0.5025125628140703,1.0,199.0
1.5,6.0,0.02992063492063492,0.5,1.0,200.0
1.5,7.0,0.029414171166748486,0.5154639175257731,1.0,194.0
1.5,8.0,0.031138867204440975,0.546448087431694,1.0,183.0
1.5,9.0,0.03171259140360264,0.5617977528089888,1.0,178.0
2.0,1.0,0.007062251984126984,0.15625,1.0,640.0
2.0,2.0,0.007008547008547009,0.15384615384615385,1.0,650.0
2.0,3.0,0.006956654456654457,0.15384615384615385,1.0,650.0
2.0,4.0,0.007274065540194573,0.16129032258064516,1.0,620.0
2.0,5.0,0.007325501944707243,0.16556291390728478,1.0,604.0
2.0,6.0,0.007328786923157784,0.16556291390728478,1.0,604.0
2.0,7.0,0.007500399488654522,0.16778523489932887,1.0,596.0
2.0,8.0,0.008829794544080258,0.21645021645021645,1.0,462.0
2.0,9.0,0.008962928605785748,0.21645021645021645,1.0,462.0
2.5,1.0,0.0011866261866261866,0.03465003465003465,1.0,2886.0
2.5,2.0,0.0009723923510097143,0.02679528403001072,1.0,3732.0
2.5,3.0,0.0009784149250024621,0.026975991367682764,1.0,3707.0
2.5,4.0,0.0010824673594457767,0.02997601918465228,1.0,3336.0
2.5,5.0,0.0010879326246298724,0.03058103975535168,1.0,3270.0
2.5,6.0,0.0010179755981994788,0.03109452736318408,1.0,3216.0
2.5,7.0,0.0011280041881877993,0.034002040122407345,1.0,2941.0
2.5,8.0,0.0010260238600135602,0.030293850348379277,1.0,3301.0
2.5,9.0,0.001154920634920635,0.032,1.0,3125.0
3.0,1.0,4.099206349206349e-05,0.00152,1.0,50000.0
3.0,2.0,3.472222222222222e-05,0.00114,1.0,50000.0
3.0,3.0,3.277777777777778e-05,0.00106,1.0,50000.0
3.0,4.0,3.345238095238095e-05,0.00106,1.0,50000.0
3.0,5.0,3.321428571428572e-05,0.00108,1.0,50000.0
3.0,6.0,3.107142857142857e-05,0.0011,1.0,50000.0
3.0,7.0,3.154761904761905e-05,0.0012,1.0,50000.0
3.0,8.0,3.5476190476190475e-05,0.00118,1.0,50000.0
3.0,9.0,3.650793650793651e-05,0.00132,1.0,50000.0
1 SNR mu BER FER DFR num_iterations
2 1.0 1.0 0.06912223578890246 0.8547008547008547 1.0 117.0
3 1.0 2.0 0.06871523538190205 0.8547008547008547 1.0 117.0
4 1.0 3.0 0.06785714285714285 0.8695652173913043 1.0 115.0
5 1.0 4.0 0.0679951690821256 0.8695652173913043 1.0 115.0
6 1.0 5.0 0.06808688387635756 0.8771929824561403 1.0 114.0
7 1.0 6.0 0.06812169312169312 0.8771929824561403 1.0 114.0
8 1.0 7.0 0.06818664965986394 0.8928571428571429 1.0 112.0
9 1.0 8.0 0.06794340924775708 0.8695652173913043 1.0 115.0
10 1.0 9.0 0.0666839199447895 0.8695652173913043 1.0 115.0
11 1.5 1.0 0.029565456545654567 0.49504950495049505 1.0 202.0
12 1.5 2.0 0.029304777466542174 0.49019607843137253 1.0 204.0
13 1.5 3.0 0.029367053620784966 0.4975124378109453 1.0 201.0
14 1.5 4.0 0.028281068524970965 0.4878048780487805 1.0 205.0
15 1.5 5.0 0.029083911621600064 0.5025125628140703 1.0 199.0
16 1.5 6.0 0.02992063492063492 0.5 1.0 200.0
17 1.5 7.0 0.029414171166748486 0.5154639175257731 1.0 194.0
18 1.5 8.0 0.031138867204440975 0.546448087431694 1.0 183.0
19 1.5 9.0 0.03171259140360264 0.5617977528089888 1.0 178.0
20 2.0 1.0 0.007062251984126984 0.15625 1.0 640.0
21 2.0 2.0 0.007008547008547009 0.15384615384615385 1.0 650.0
22 2.0 3.0 0.006956654456654457 0.15384615384615385 1.0 650.0
23 2.0 4.0 0.007274065540194573 0.16129032258064516 1.0 620.0
24 2.0 5.0 0.007325501944707243 0.16556291390728478 1.0 604.0
25 2.0 6.0 0.007328786923157784 0.16556291390728478 1.0 604.0
26 2.0 7.0 0.007500399488654522 0.16778523489932887 1.0 596.0
27 2.0 8.0 0.008829794544080258 0.21645021645021645 1.0 462.0
28 2.0 9.0 0.008962928605785748 0.21645021645021645 1.0 462.0
29 2.5 1.0 0.0011866261866261866 0.03465003465003465 1.0 2886.0
30 2.5 2.0 0.0009723923510097143 0.02679528403001072 1.0 3732.0
31 2.5 3.0 0.0009784149250024621 0.026975991367682764 1.0 3707.0
32 2.5 4.0 0.0010824673594457767 0.02997601918465228 1.0 3336.0
33 2.5 5.0 0.0010879326246298724 0.03058103975535168 1.0 3270.0
34 2.5 6.0 0.0010179755981994788 0.03109452736318408 1.0 3216.0
35 2.5 7.0 0.0011280041881877993 0.034002040122407345 1.0 2941.0
36 2.5 8.0 0.0010260238600135602 0.030293850348379277 1.0 3301.0
37 2.5 9.0 0.001154920634920635 0.032 1.0 3125.0
38 3.0 1.0 4.099206349206349e-05 0.00152 1.0 50000.0
39 3.0 2.0 3.472222222222222e-05 0.00114 1.0 50000.0
40 3.0 3.0 3.277777777777778e-05 0.00106 1.0 50000.0
41 3.0 4.0 3.345238095238095e-05 0.00106 1.0 50000.0
42 3.0 5.0 3.321428571428572e-05 0.00108 1.0 50000.0
43 3.0 6.0 3.107142857142857e-05 0.0011 1.0 50000.0
44 3.0 7.0 3.154761904761905e-05 0.0012 1.0 50000.0
45 3.0 8.0 3.5476190476190475e-05 0.00118 1.0 50000.0
46 3.0 9.0 3.650793650793651e-05 0.00132 1.0 50000.0

6
latex/thesis/res/admm/ber_margulis264013203.csv Normal file
View File

@ -0,0 +1,6 @@
SNR,BER,FER,DFR,num_iterations
1.0,0.07218346834683469,1.0,0.0,101.0
1.3,0.04716241360978203,0.8859649122807017,0.0,114.0
1.6,0.016790859413810234,0.5519125683060109,0.0,183.0
1.9,0.002006491369768764,0.09970384995064166,0.0,1013.0
2.2,6e-05,0.0038,0.0,10000.0
1 SNR BER FER DFR num_iterations
2 1.0 0.07218346834683469 1.0 0.0 101.0
3 1.3 0.04716241360978203 0.8859649122807017 0.0 114.0
4 1.6 0.016790859413810234 0.5519125683060109 0.0 183.0
5 1.9 0.002006491369768764 0.09970384995064166 0.0 1013.0
6 2.2 6e-05 0.0038 0.0 10000.0

10
latex/thesis/res/admm/ber_margulis264013203_metadata.json Normal file
View File

@ -0,0 +1,10 @@
{
"duration": 810.1076940880157,
"name": "ber_margulis264013203",
"platform": "Linux-6.2.10-arch1-1-x86_64-with-glibc2.37",
"K": 200,
"epsilon_pri": 1e-05,
"epsilon_dual": 1e-05,
"max_frame_errors": 100,
"end_time": "2023-04-17 07:18:49.041714"
}

9
latex/thesis/res/admm/fer_paper_margulis.csv Normal file
View File

@ -0,0 +1,9 @@
SNR,FER
1.0,0.969806653628656
1.3,0.9405249454224117
1.6,0.5584933783543885
1.9,0.09435333882134775
2.2,0.0036591833235249784
2.5,2.5490595938421584e-05
2.8,3.2889674547887473e-08
3.0,2.590089428727302e-10
1 SNR FER
2 1.0 0.969806653628656
3 1.3 0.9405249454224117
4 1.6 0.5584933783543885
5 1.9 0.09435333882134775
6 2.2 0.0036591833235249784
7 2.5 2.5490595938421584e-05
8 2.8 3.2889674547887473e-08
9 3.0 2.590089428727302e-10