\section{Proximal Decoding}% \label{sec:Proximal Decoding} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Decoding Algorithm}% \label{sub:Decoding Algorithm} \begin{frame}[t] \frametitle{Proximal Decoding: General Idea \cite{proximal_paper}} \vspace*{-0.3cm} \begin{itemize} \item MAP rule as continuous maximization problem: \begin{align*} \hat{\boldsymbol{x}} &= \argmax_{\tilde{\boldsymbol{x}}\in\mathbb{R}^n} f_{\boldsymbol{Y}}\left( \boldsymbol{y} | \tilde{\boldsymbol{x}} \right) f_{\boldsymbol{X}}\left( \tilde{\boldsymbol{x}} \right)\\ &= \argmax_{\tilde{\boldsymbol{x}}\in\mathbb{R}^n} e^{-L\left( \boldsymbol{y} | \tilde{\boldsymbol{x}}\right)} f_{\boldsymbol{X}}\left( \tilde{\boldsymbol{x}} \right), \hspace{5mm} L\left( \boldsymbol{y} | \tilde{\boldsymbol{x}} \right) = - \ln\left( f_{\boldsymbol{Y}} \left( \boldsymbol{y} | \tilde{\boldsymbol{x}} \right) \right) \end{align*} \item Approximation of prior PDF: \begin{align*} f_{\boldsymbol{X}}\left( \tilde{\boldsymbol{x}} \right) = \frac{1}{\left| \mathcal{C} \right| } \sum_{\boldsymbol{c} \in \mathcal{C} } \delta\left( \tilde{\boldsymbol{x}} - \left( -1 \right)^{\boldsymbol{c}} \right) \approx \frac{1}{Z} e^{-\gamma h\left( \tilde{\boldsymbol{x}} \right) } \end{align*} \item Code constraint polynomial: \begin{minipage}[c]{0.56\textwidth} \raggedright \begin{align*} h\left( \tilde{\boldsymbol{x}} \right) = \underbrace{\sum_{i=1}^{n} \left( \tilde{x}_i^2 - 1 \right)^2}_{\text{Bipolar constraint}} + \underbrace{\sum_{j=1}^{m} \left[ \left( \prod_{i\in N_v\left( j \right)} \tilde{x}_i\right) -1 \right]^2} _{\text{Parity constraint}}, \end{align*} \end{minipage}% \begin{minipage}[c]{0.4\textwidth} \raggedleft \begin{flalign*} \mathcal{I} &:= \left[1\text{ : }n\right], \hspace{2mm} \mathcal{J} := \left[1\text{ : }m\right] \\ N_v\left( j \right) &:= \left\{i | i\in \mathcal{I}, \boldsymbol{H}_{j,i} = 1 \right\}, j\in\mathcal{J}\\ \end{flalign*} \end{minipage} \hfill \end{itemize} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame}[t] \frametitle{Proximal Decoding: General Idea} \begin{itemize} \item Objective function: \begin{align*} g\left( \tilde{\boldsymbol{x}} \right) = L\left( \boldsymbol{y} | \tilde{\boldsymbol{x}} \right) + \gamma h\left( \tilde{\boldsymbol{x}} \right) \end{align*} \note{Notational difference between $f$ and $f_X$ or $f_Y$} \item Proximal operator \cite{proximal_algorithms}: \begin{align*} \text{prox}_{\gamma h} \left( \tilde{\boldsymbol{x}} \right) &\equiv \argmin_{\boldsymbol{t}\in\mathbb{R}^n} \gamma h\left( \boldsymbol{t} \right) + \frac{1}{2} \lVert \boldsymbol{t} - \tilde{\boldsymbol{x}} \rVert^2 \\ &\approx \tilde{\boldsymbol{x}} - \gamma \nabla h\left( \tilde{\boldsymbol{x}} \right), \hspace{5mm} \gamma \text{ small} \end{align*} \item Iterative decoding process: \begin{align*} \boldsymbol{r} &\leftarrow \boldsymbol{s} - \omega \nabla L\left( \boldsymbol{y} | \boldsymbol{s} \right), \hspace{5mm} \omega > 0 \hspace{10mm} \text{``Gradient descent step''}\\ \boldsymbol{s} &\leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right), \hspace{9mm} \gamma > 0 \hspace{10mm} \text{``Code proximal step''} \end{align*} \end{itemize} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame}[t, fragile] \frametitle{Proximal Decoding: Algorithm} \begin{itemize} \item Iterative decoding algorithm \cite{proximal_paper}: \end{itemize} \vspace{2mm} \begin{algorithm}[caption={}, label={}] $\boldsymbol{s} \leftarrow \boldsymbol{0}$ for $K$ iterations do $\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $ $\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $ $\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $ if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$ do return $\boldsymbol{\hat{c}}$ end if end for return $\boldsymbol{\hat{c}}$ \end{algorithm} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Analysis of Simulation Results}% \label{sub:Analysis of Simulation Results} \begin{frame}[t] \frametitle{Proximal Decoding: Bit Error Rate and Performance} \begin{itemize} \item (3,6) regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc} \end{itemize} \begin{figure}[H] \centering \begin{tikzpicture} \begin{axis}[ grid=both, grid style={line width=.1pt}, xlabel={$E_b / N_0$ (dB)}, ylabel={BER}, ymode=log, legend pos=outer north east, width=0.45\textwidth, height=0.3375\textwidth, ymax=1.2, ymin=0.8e-4, xtick={1, 2, ..., 5}, xmin=0.9, xmax=5.6, legend columns=2, ] \addplot [ForestGreen, mark=triangle, dashed, line width=1pt] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}, discard if gt={SNR}{5.5},] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.15$} \addplot [ForestGreen, mark=*, line width=1pt] table [x=SNR, y=gamma_0_15, col sep=comma] {res/ber_paper.csv}; \addlegendentry{$\gamma = 0.15$ (Wadayama et al.)} \addplot [NavyBlue, mark=triangle, dashed, line width=1pt] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}, discard if gt={SNR}{5.5},] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.01$} \addplot [NavyBlue, mark=*, line width=1pt] table [x=SNR, y=gamma_0_01, col sep=comma] {res/ber_paper.csv}; \addlegendentry{$\gamma = 0.01$ (Wadayama et al.)} \addplot [RedOrange, mark=triangle, dashed, line width=1pt] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}, discard if gt={SNR}{5.5},] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.05$} \addplot [RedOrange, mark=*, line width=1pt] table [x=SNR, y=gamma_0_05, col sep=comma] {res/ber_paper.csv}; \addlegendentry{$\gamma = 0.05$ (Wadayama et al.)} \addplot [RoyalPurple, mark=*, line width=1pt] table [x=SNR, y=BP, col sep=comma] {res/ber_paper.csv}; \addlegendentry{BP} \end{axis} \end{tikzpicture} \end{figure} \begin{itemize} \item Comparison of simulation with results of Wadayama et al. \cite{proximal_paper} \end{itemize} % \vspace*{-0.5cm} % \begin{itemize} % \item $\mathcal{O}\left(n \right) $ time complexity - same as BP; % only multiplication and addition necessary \cite{proximal_paper} % \item Measured performance: $\sim\SI{10000}{}$ frames/s % on Intel Core i7-7700HQ @ 2.80GHz; $n=204$ % \end{itemize} % \vspace{3mm} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame}[t] \frametitle{Proximal Decoding: Choice of $\gamma$} \begin{itemize} \item (3,6) regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc} \end{itemize} \begin{figure}[H] \centering \hspace*{-3.5cm} \begin{subfigure}[c]{0.4\textwidth} \centering \begin{tikzpicture} \begin{semilogyaxis}[xlabel={$E_b / N_0$ (dB)}, ylabel={BER}, grid=both, grid style={line width=.1pt}, width=\textwidth, height=0.75\textwidth, legend style={at={(0.05,0.05)},anchor=south west}, ymin=3e-7, ymax=1.5,] \addplot [ForestGreen, mark=*] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.15$} \addplot [NavyBlue, mark=*] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.01$} \addplot [RedOrange, mark=*] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.05$} \end{semilogyaxis} \end{tikzpicture} \end{subfigure}% \hspace{5mm} \begin{subfigure}[c]{0.4\textwidth} \centering \begin{tikzpicture} \begin{axis}[view={75}{30}, zmode=log, xlabel={$E_b / N_0$ (dB)}, ylabel={$\gamma$}, zlabel={BER}, width=\textwidth, height=0.75\textwidth, legend pos=outer north east,] \addplot3[surf, mesh/rows=17, mesh/cols=14, colormap/viridis] table [col sep=comma, x=SNR, y=gamma, z=BER] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = \left[ 0\text{:}0.01\text{:}0.16 \right] $} \addplot3[NavyBlue, line width=1.5] table [col sep=comma, discard if not={gamma}{0.01}, x=SNR, y=gamma, z=BER] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.01$} \addplot3[RedOrange, line width=1.5] table [col sep=comma, discard if not={gamma}{0.05}, x=SNR, y=gamma, z=BER] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.05$} \addplot3[ForestGreen, line width=1.5] table [col sep=comma, discard if not={gamma}{0.15}, x=SNR, y=gamma, z=BER] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.15$} \end{axis} \end{tikzpicture} \end{subfigure} \end{figure} \begin{itemize} \item Not great benefit in finding the optimal value for $\gamma$ \end{itemize} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %\begin{frame}[t] % \frametitle{Proximal Decoding: Choice of $\gamma$} % % \begin{minipage}[c]{0.9\textwidth} % \centering % % \begin{figure}[H] % \vspace*{-0.5cm} % \hspace*{-0.7cm} % \centering % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[view={75}{30}, % zmode=log, % xlabel={$E_b / N_0$ (dB)}, % ylabel={$\gamma$}, % zlabel={BER},] % \addplot3[surf, % mesh/rows=17, mesh/cols=10, % colormap/viridis] table [col sep=comma, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_963965.csv}; % \addplot3[RedOrange, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.05}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_963965.csv}; % \addplot3[NavyBlue, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.01}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_963965.csv}; % \addplot3[ForestGreen, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.15}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_963965.csv}; % \end{axis} % \end{tikzpicture} % \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=96, k=48$ \cite[\text{96.3.965}]{mackay_enc}} % \end{subfigure}% % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[view={75}{30}, % zmode=log, % xlabel={$E_b/N_0$ (dB)}, % ylabel={$\gamma$}, % zlabel={BER},] % \addplot3[surf, % mesh/rows=17, mesh/cols=14, % colormap/viridis] table [col sep=comma, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot3[RedOrange, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.05}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot3[NavyBlue, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.01}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot3[ForestGreen, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.15}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \end{axis} % \end{tikzpicture} % \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc}} % \end{subfigure}% % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[view={75}{30}, % zmode=log, % xlabel={$E_b / N_0$ (dB)}, % ylabel={$\gamma$}, % zlabel={BER},] % \addplot3[surf, % mesh/rows=17, mesh/cols=10, % colormap/viridis] table [col sep=comma, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_40833844.csv}; % \addplot3[RedOrange, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.05}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_40833844.csv}; % \addplot3[NavyBlue, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.01}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_40833844.csv}; % \addplot3[ForestGreen, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.15}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_40833844.csv}; % \end{axis} % \end{tikzpicture} % \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=408, k=204$ \cite[\text{408.33.844}]{mackay_enc}} % \end{subfigure} % \hspace*{-0.7cm} % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[view={75}{30}, % zmode=log, % xlabel={$E_b / N_0$ (dB)}, % ylabel={$\gamma$}, % zlabel={BER},] % \addplot3[surf, % mesh/rows=17, mesh/cols=10, % colormap/viridis] table [col sep=comma, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_bch_31_26.csv}; % \addplot3[RedOrange, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.05}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_bch_31_26.csv}; % \addplot3[NavyBlue, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.01}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_bch_31_26.csv}; % \addplot3[ForestGreen, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.15}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_bch_31_26.csv}; % \end{axis} % \end{tikzpicture} % \caption{BCH code with $n=31, k=26$\\[2\baselineskip]} % \end{subfigure}% % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[view={75}{30}, % zmode=log, % xlabel={$E_b / N_0$ (dB)}, % ylabel={$\gamma$}, % zlabel={BER},] % \addplot3[surf, % mesh/rows=17, mesh/cols=10, % colormap/viridis] table [col sep=comma, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_20455187.csv}; % \addplot3[RedOrange, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.05}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_20455187.csv}; % \addplot3[NavyBlue, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.01}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_20455187.csv}; % \addplot3[ForestGreen, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.15}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_20455187.csv}; % \end{axis} % \end{tikzpicture} % \caption{$\left( 5, 10 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.55.187}]{mackay_enc}} % \end{subfigure}% % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[view={75}{30}, % zmode=log, % xlabel={$E_b / N_0$ (dB)}, % ylabel={$\gamma$}, % zlabel={BER},] % \addplot3[surf, % mesh/rows=17, mesh/cols=10, % colormap/viridis] table [col sep=comma, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv}; % \addplot3[RedOrange, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.05}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv}; % \addplot3[NavyBlue, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.01}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv}; % \addplot3[ForestGreen, line width=1.5] table[col sep=comma, % discard if not={gamma}{0.15}, % x=SNR, y=gamma, z=BER] % {res/proximal/2d_ber_fer_dfr_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}% % \end{figure} % \end{minipage}% % \begin{minipage}[c]{0.1\textwidth} % \centering % % \begin{figure}[H] % \vspace*{-1.5cm} % \hspace*{-0.75cm} % \centering % \begin{tikzpicture}[scale=0.7] % \begin{axis}[hide axis, % xmin=10, xmax=50, % ymin=0, ymax=0.4, % legend style={draw=white!15!black,legend cell align=left}] % \addlegendimage{surf, colormap/viridis} % \addlegendentry{$\gamma = \left[ 0\text{ : }0.01\text{ : }0.16 \right] $}; % \addlegendimage{NavyBlue, line width=1.5pt} % \addlegendentry{$\gamma = 0.01$}; % \addlegendimage{RedOrange, line width=1.5pt} % \addlegendentry{$\gamma = 0.05$}; % \addlegendimage{ForestGreen, line width=1.5pt} % \addlegendentry{$\gamma = 0.15$}; % \end{axis} % \end{tikzpicture} % \end{figure} % \end{minipage} %\end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame}[t, fragile] \frametitle{Proximal Decoding: Frame Error Rate} \begin{itemize} \item (3,6) regular LDPC code with $n=204$,\\ $k=102$ \cite[\text{204.33.484}]{mackay_enc} \end{itemize} \vspace*{-5mm} \begin{minipage}{.4\textwidth} \centering \begin{figure}[htpb] \centering \begin{algorithm}[caption={}, label={}] $\boldsymbol{s} \leftarrow \boldsymbol{0}$ for $K$ iterations do $\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $ $\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $ $\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $ if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$ do return $\boldsymbol{\hat{c}}$ end if end for return $\boldsymbol{\hat{c}}$ \end{algorithm} \end{figure} \end{minipage}% \begin{minipage}{.6\textwidth} \centering \begin{figure}[H] \vspace*{-9mm} \centering \begin{tikzpicture}[scale=0.7] \begin{axis}[ grid=both, xlabel={$E_b / N_0$ (dB)}, ylabel={BER}, ymode=log, legend style={at={(0.05,0.05)},anchor=south west}, ymax=1.5, ymin=3e-7, width=0.7\textwidth, height=0.6\textwidth, ] \addplot [ForestGreen, mark=*, line width=1pt] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.15$} \addplot [NavyBlue, mark=*, line width=1pt] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.01$} \addplot [RedOrange, mark=*, line width=1pt] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.05$} \end{axis} \end{tikzpicture} \begin{tikzpicture}[scale=0.7] \begin{axis}[ grid=both, xlabel={$E_b / N_0$ (dB)}, ylabel={FER}, ymode=log, legend style={at={(0.05,0.05)},anchor=south west}, ymax=1.5, ymin=3e-7, width=0.7\textwidth, height=0.6\textwidth, ] \addplot [ForestGreen, mark=*, line width=1pt] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.15$} \addplot [NavyBlue, mark=*, line width=1pt] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.01$} \addplot [RedOrange, mark=*, line width=1pt] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.05$} \end{axis} \end{tikzpicture}\\ \begin{tikzpicture}[scale=0.7] \begin{axis}[ grid=both, xlabel={$E_b / N_0$ (dB)}, ylabel={Decoding Failure Rate}, ymode=log, legend style={at={(0.05,0.05)},anchor=south west}, ymax=1.5, ymin=3e-7, width=0.7\textwidth, height=0.6\textwidth, ] \addplot [ForestGreen, mark=*, line width=1pt] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.15$} \addplot [NavyBlue, mark=*, line width=1pt] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.01$} \addplot [RedOrange, mark=*, line width=1pt] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] {res/proximal/2d_ber_fer_dfr_20433484.csv}; \addlegendentry{$\gamma = 0.05$} \end{axis} \end{tikzpicture} \end{figure} \end{minipage} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame}[t] \frametitle{Proximal Decoding: Oscillation of Estimate} \vspace*{-5mm} \begin{itemize} \item Single decoding using the BCH$\left( 7,4 \right) $ code; $E_b / N_0 = \SI{5}{dB}$ \end{itemize} \begin{figure}[H] \centering \begin{minipage}[c]{0.25\textwidth} \centering \begin{tikzpicture}[scale = 0.7] \begin{axis}[ grid=both, xlabel={Iterations}, width=1.2\textwidth, height=0.45\textwidth, scale only axis, xtick={0, 50, ..., 200}, xticklabels={0, 25, ..., 100}, ] \addplot [NavyBlue, mark=none, line width=1] table [col sep=comma, x=k, y=comb_r_s_1] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [ForestGreen, mark=none, line width=1] table [col sep=comma, x=k, y=grad_L_1] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [RedOrange, mark=none, line width=1] table [col sep=comma, x=k, y=grad_h_1] {res/proximal/comp_bch_7_4_combined.csv}; \addlegendentry{est} \addlegendentry{$\left(\nabla L \right)_2$} \addlegendentry{$\left(\nabla h \right)_2 $} \end{axis} \end{tikzpicture}\\ \begin{tikzpicture}[scale = 0.7] \begin{axis}[ grid=both, xlabel={Iterations}, width=1.2\textwidth, height=0.45\textwidth, scale only axis, xtick={0, 50, ..., 200}, xticklabels={0, 25, ..., 100}, ] \addplot [NavyBlue, mark=none, line width=1] table [col sep=comma, x=k, y=comb_r_s_2] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [ForestGreen, mark=none, line width=1] table [col sep=comma, x=k, y=grad_L_2] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [RedOrange, mark=none, line width=1] table [col sep=comma, x=k, y=grad_h_2] {res/proximal/comp_bch_7_4_combined.csv}; \addlegendentry{est} \addlegendentry{$\left(\nabla L \right)_3$} \addlegendentry{$\left(\nabla h \right)_3 $} \end{axis} \end{tikzpicture}\\ \begin{tikzpicture}[scale = 0.7] \begin{axis}[ grid=both, xlabel={Iterations}, width=1.2\textwidth, height=0.45\textwidth, scale only axis, xtick={0, 50, ..., 200}, xticklabels={0, 25, ..., 100}, ] \addplot [NavyBlue, mark=none, line width=1] table [col sep=comma, x=k, y=comb_r_s_3] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [ForestGreen, mark=none, line width=1] table [col sep=comma, x=k, y=grad_L_3] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [RedOrange, mark=none, line width=1] table [col sep=comma, x=k, y=grad_h_3] {res/proximal/comp_bch_7_4_combined.csv}; \addlegendentry{est} \addlegendentry{$\left(\nabla L \right)_4$} \addlegendentry{$\left(\nabla h \right)_4 $} \end{axis} \end{tikzpicture} \end{minipage}% \begin{minipage}[c]{0.5\textwidth} \vspace*{-1cm} \centering \begin{tikzpicture}[, spy using outlines={circle, magnification=6, connect spies}] \begin{axis}[ grid=both, xlabel={Iterations}, width=0.8\textwidth, height=0.35\textwidth, scale only axis, xtick={0, 50, ..., 200}, xticklabels={0, 25, ..., 100}, ] \addplot [NavyBlue, mark=none, line width=1] table [col sep=comma, x=k, y=comb_r_s_0] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [ForestGreen, mark=none, line width=1] table [col sep=comma, x=k, y=grad_L_0] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [RedOrange, mark=none, line width=1] table [col sep=comma, x=k, y=grad_h_0] {res/proximal/comp_bch_7_4_combined.csv}; \addlegendentry{est} \addlegendentry{$\left(\nabla L \right)_1$} \addlegendentry{$\left(\nabla h \right)_1 $} \coordinate (spypoint) at (axis cs:100,1.12); \coordinate (magnifyglass) at (axis cs:180,2.75); \end{axis} \spy [black, size=2cm] on (spypoint) in node[fill=white] at (magnifyglass); \end{tikzpicture} \end{minipage}% \begin{minipage}[c]{0.25\textwidth} \centering \begin{tikzpicture}[scale = 0.7] \begin{axis}[ grid=both, xlabel={Iterations}, width=1.2\textwidth, height=0.45\textwidth, scale only axis, xtick={0, 50, ..., 200}, xticklabels={0, 25, ..., 100}, ] \addplot [NavyBlue, mark=none, line width=1] table [col sep=comma, x=k, y=comb_r_s_4] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [ForestGreen, mark=none, line width=1] table [col sep=comma, x=k, y=grad_L_4] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [RedOrange, mark=none, line width=1] table [col sep=comma, x=k, y=grad_h_4] {res/proximal/comp_bch_7_4_combined.csv}; \addlegendentry{est} \addlegendentry{$\left(\nabla L \right)_5$} \addlegendentry{$\left(\nabla h \right)_5 $} \end{axis} \end{tikzpicture}\\ \begin{tikzpicture}[scale = 0.7] \begin{axis}[ grid=both, xlabel={Iterations}, width=1.2\textwidth, height=0.45\textwidth, scale only axis, xtick={0, 50, ..., 200}, xticklabels={0, 25, ..., 100}, ] \addplot [NavyBlue, mark=none, line width=1] table [col sep=comma, x=k, y=comb_r_s_5] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [ForestGreen, mark=none, line width=1] table [col sep=comma, x=k, y=grad_L_5] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [RedOrange, mark=none, line width=1] table [col sep=comma, x=k, y=grad_h_5] {res/proximal/comp_bch_7_4_combined.csv}; \addlegendentry{est} \addlegendentry{$\left(\nabla L \right)_6$} \addlegendentry{$\left(\nabla h \right)_6 $} \end{axis} \end{tikzpicture}\\ \begin{tikzpicture}[scale = 0.7] \begin{axis}[ grid=both, xlabel={Iterations}, width=1.2\textwidth, height=0.45\textwidth, scale only axis, xtick={0, 50, ..., 200}, xticklabels={0, 25, ..., 100}, ] \addplot [NavyBlue, mark=none, line width=1] table [col sep=comma, x=k, y=comb_r_s_6] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [ForestGreen, mark=none, line width=1] table [col sep=comma, x=k, y=grad_L_6] {res/proximal/comp_bch_7_4_combined.csv}; \addplot [RedOrange, mark=none, line width=1] table [col sep=comma, x=k, y=grad_h_6] {res/proximal/comp_bch_7_4_combined.csv}; \addlegendentry{est} \addlegendentry{$\left(\nabla L \right)_7$} \addlegendentry{$\left(\nabla h \right)_7 $} \end{axis} \end{tikzpicture} \end{minipage} \end{figure} \begin{itemize} \item $\nabla L \left( \boldsymbol{y} \mid \tilde{\boldsymbol{x}} \right) $ and $\nabla h \left( \tilde{\boldsymbol{x}} \right) $ generally end up in an equilibrium \end{itemize} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame}[t] \frametitle{Proximal Decoding: Visualization of Gradients} \vspace*{-5mm} \begin{figure}[H] \centering \begin{subfigure}[c]{0.5\textwidth} \centering \begin{tikzpicture} \begin{axis}[xmin = -1.25, xmax=1.25, ymin = -1.25, ymax=1.25, xlabel={$x_1$}, ylabel={$x_2$}, width=0.9\textwidth, height=0.8\textwidth, grid=major, grid style={dotted}, view={0}{90}] \addplot3[point meta=\thisrow{grad_norm}, point meta min=1, point meta max=3, quiver={u=\thisrow{grad_0}, v=\thisrow{grad_1}, scale arrows=.05, every arrow/.append style={% line width=.3+\pgfplotspointmetatransformed/1000, -{Latex[length=0pt 5,width=0pt 3]} }, }, quiver/colored = {mapped color}, colormap/rocket, -stealth, ] table[col sep=comma] {res/proximal/2d_grad_L.csv}; \end{axis} \end{tikzpicture} \caption{$\nabla L \left(\boldsymbol{y} \mid \tilde{\boldsymbol{x}} \right)$ for a repetition code with $n=2$\footnotemark} \end{subfigure}% \begin{subfigure}[c]{0.5\textwidth} \centering \begin{tikzpicture} \begin{axis}[xmin = -1.25, xmax=1.25, ymin = -1.25, ymax=1.25, width=0.9\textwidth, height=0.8\textwidth, xlabel={$x_1$}, ylabel={$x_2$}, grid=major, grid style={dotted}, view={0}{90}] \addplot3[point meta=\thisrow{grad_norm}, point meta min=1, point meta max=4, quiver={u=\thisrow{grad_0}, v=\thisrow{grad_1}, scale arrows=.03, every arrow/.append style={% line width=.3+\pgfplotspointmetatransformed/1000, -{Latex[length=0pt 5,width=0pt 3]} }, }, quiver/colored = {mapped color}, colormap/rocket, -stealth, ] table[col sep=comma] {res/proximal/2d_grad_h.csv}; \end{axis} \end{tikzpicture} \caption{$\nabla h \left( \tilde{\boldsymbol{x}} \right) $ for a repetition code with $n=2$} \end{subfigure}% \end{figure} \footnotetext{In an AWGN Channel $\nabla L\left( \boldsymbol{y} \mid \tilde{\boldsymbol{x}}\right) \propto \left( \tilde{\boldsymbol{x}} - \boldsymbol{y} \right)$ \cite[Sec. 4.1]{proximal_paper}} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame}[t] \frametitle{Proximal Decoder: Oscillation of $\nabla h\left( \tilde{\boldsymbol{x}} \right) $} \begin{itemize} \item Single decoding using a (3,6) regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc} % ; $\gamma = 0.05, \omega = 0.05, E_b / N_0 = \SI{5}{dB}$ \end{itemize} \begin{figure} \centering \begin{subfigure}[t]{0.5\textwidth} \centering \begin{tikzpicture} \begin{axis}[ grid=both, xlabel={Iterations}, width=0.85\textwidth, height=0.4\textwidth, scale only axis, xtick={0, 100, ..., 400}, xticklabels={0, 50, ..., 200}, ] \addplot [NavyBlue, mark=none, line width=1] table [col sep=comma, x=k, y=comb_r_s_0] {res/proximal/extreme_components_20433484_combined.csv}; \addplot [ForestGreen, mark=none, line width=1] table [col sep=comma, x=k, y=grad_L_0] {res/proximal/extreme_components_20433484_combined.csv}; \addplot [RedOrange, mark=none, line width=1] table [col sep=comma, x=k, y=grad_h_0] {res/proximal/extreme_components_20433484_combined.csv}; \addlegendentry{est} \addlegendentry{$\left(\nabla L \right)_1$} \addlegendentry{$\left(\nabla h \right)_1$} \end{axis} \end{tikzpicture} \end{subfigure}% \begin{subfigure}[t]{0.5\textwidth} \centering \begin{tikzpicture} \begin{axis}[ point meta min = -1, point meta max = 1, grid=both, xlabel={$Var\left( \nabla h\left( \tilde{\boldsymbol{x}} \right) \right) $}, ylabel={Bit error (bool)}, ytick={0, 1}, width=0.85\textwidth, height=0.4\textwidth, scale only axis, % colormap/viridis, ] \addplot [RoyalPurple, only marks,] table [col sep=comma, x=grad_h_vars, y=bit_error] {res/proximal/extreme_components_20433484_variance.csv}; \end{axis} \end{tikzpicture} \end{subfigure} \end{figure} \begin{itemize} \item For larger $n$, the gradient itself starts to oscillate \item Dynamic range of oscillation highly correlated with probability of bit error \end{itemize} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %\newcommand{\tikzbracemark}[1]{\tikz[overlay,remember picture] \node (#1) {};} % %\newcommand*{\AddNote}[4]{% % \begin{tikzpicture}[overlay, remember picture] % \draw [decoration={brace,amplitude=0.5em},decorate,ultra thick] % ($(#3)!([yshift=1.5ex]#1)!($(#3)-(0,1)$)$) -- % ($(#3)!(#2)!($(#3)-(0,1)$)$) % node [align=center, text width=2cm, pos=0.5, anchor=west] {#4}; % \end{tikzpicture} %}% % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %\begin{frame}[t, fragile] % \frametitle{Proximal Decoding: Improvement using ``ML-on-List''} % % \begin{itemize} % \item Comparison of proximal \& hybrid-proximal-ML\\ % decoding simulation % \footnote{(3,6) regular LDPC Code with $n=204, k=102$ % \cite[Code: 204.33.484]{mackay_enc}} % results % \end{itemize} % % \begin{minipage}{.4\textwidth} % \centering % % \begin{algorithm}[caption={}, label={}, % basicstyle=\fontsize{6.5}{7.5}\selectfont % ] %$\boldsymbol{s}^{\left( 0 \right)} = \boldsymbol{0}$$\hspace{4.185cm}\tikzbracemark{prox-start}$ %for $k=0$ to $K-1$ do % $\boldsymbol{r}^{\left( k+1 \right)} = \boldsymbol{s}^{(k)} - \omega \nabla L \left( \boldsymbol{s}^{(k)}; \boldsymbol{y} \right) $ % Compute $\nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right)$ % $\boldsymbol{s}^{\left( k+1 \right)} = \boldsymbol{r}^{(k+1)} - \gamma \nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right) $ % $\boldsymbol{\hat{x}} = \text{sign}\left( \boldsymbol{s}^{\left( k+1 \right) } \right) $ % If $\boldsymbol{\hat{x}}$ passes the parity check condition, output $\boldsymbol{\hat{x}}$ %end for $\tikzbracemark{prox-end}$ %Find $N$ most probably wrong bits $\hspace{2cm}\tikzbracemark{ml-start}$ %Generate variations $\boldsymbol{\tilde{x}}_n$ of $\boldsymbol{\hat{x}}$ with the $N$ bits modified %Compute $d\left( \boldsymbol{ \tilde{x}}_n, \boldsymbol{\hat{x}} \right) \forall n \in \left[ 1 : N-1 \right] $ %Output $\boldsymbol{\tilde{x}}_n$ with lowest $d\left( \boldsymbol{ \tilde{x}}_n, \boldsymbol{\hat{x}} \right)$ $\tikzbracemark{ml-end}$ % \end{algorithm} % % \AddNote{prox-start}{prox-end}{prox-start}{\small Proximal\\Decoding} % \AddNote{ml-start}{ml-end}{ml-start}{\small ML-on-List} % \end{minipage}% % \begin{minipage}{.6\textwidth} % \centering % \begin{figure}[H] % \centering % \vspace*{-12mm} % % \begin{tikzpicture}[scale=0.42] % \begin{axis}[ % grid=both, % xlabel={SNR}, ylabel={BER}, % ymode=log, % legend style={at={(0.05,0.05)},anchor=south west}, % ymax=1.5, ymin=3e-8, % ] % % \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addlegendentry{proximal} % \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % \addlegendentry{hybrid prox. \& ML} % \end{axis} % \end{tikzpicture} % \begin{tikzpicture}[scale=0.42] % \begin{axis}[ % grid=both, % xlabel={SNR}, ylabel={FER}, % ymode=log, % legend style={at={(0.05,0.05)},anchor=south west}, % ymax=1.5, ymin=3e-8, % ] % % \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addlegendentry{proximal} % \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % \addlegendentry{hybrid prox. \& ML} % \end{axis} % \end{tikzpicture}\\ % \begin{tikzpicture}[scale=0.42] % \begin{axis}[ % grid=both, % xlabel={SNR}, ylabel={Decoding Failure Rate}, % ymode=log, % legend style={at={(0.05,0.05)},anchor=south west}, % ymax=1.5, ymin=3e-8, % ] % % \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addlegendentry{proximal} % \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % \addlegendentry{hybrid prox. \& ML} % \end{axis} % \end{tikzpicture} % % \caption{Simulation results for $\gamma = 0.05, \omega = 0.05, K=200, N=12$} % \label{fig:simulation_results_hybrid} % \end{figure} % \end{minipage} %\end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame}[t, fragile] \frametitle{Proximal Decoding: Improvement using \\``ML-in-the-List''} \vspace*{-0.5cm} \begin{itemize} \item Improvement of proximal decoding by addition of ``ML-in-the-List'' step after iterating \end{itemize} \vspace*{-2mm} \begin{minipage}[t]{.48\textwidth} \centering \begin{figure} \centering \begin{algorithm}[caption={}, label={}, basicstyle=\fontsize{9.5}{11.5}\selectfont] $\boldsymbol{s} \leftarrow \boldsymbol{0}$ for $K$ iterations do $\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $ $\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $ $\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $ if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$ do return $\boldsymbol{\hat{c}}$ end if end for return $\boldsymbol{\hat{c}}$ |\Suppressnumber| |\phantom{a}||\Reactivatenumber| \end{algorithm} \end{figure} \end{minipage}% \hfill\begin{minipage}[t]{.48\textwidth} \centering \begin{figure} \centering \begin{algorithm}[caption={}, label={}, basicstyle=\fontsize{9.5}{11.5}\selectfont] $\boldsymbol{s} \leftarrow \boldsymbol{0}$ for $K$ iterations do $\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $ $\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $ $\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $ if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$ return $\boldsymbol{\hat{c}}$ end if end for $\textcolor{KITblue}{\text{Find }N\text{ most probably wrong bits.}}$ $\textcolor{KITblue}{\text{Generate variations } \boldsymbol{\hat{c}}_l\text{ of }\boldsymbol{\hat{c}}\text{ with the }N\text{ bits modified.}}$ $\textcolor{KITblue}{\text{Compute }d_H\left( \boldsymbol{ \hat{c}}_l, \boldsymbol{\hat{c}} \right) \text{ for all valid codewords } \boldsymbol{\hat{c}}_l}$ $\textcolor{KITblue}{\textbf{return }\boldsymbol{\hat{c}}_l\text{ with lowest }d_H\left( \boldsymbol{ \hat{c}}_l, \boldsymbol{\hat{c}} \right)}$ \end{algorithm} \end{figure} \end{minipage} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %\begin{frame}[t] % \frametitle{Proximal Decoding: Improvement using \\``ML-in-the-List''} % % \vspace{-0.5cm} % % \begin{itemize} % \item Comparison of proximal \& improved (correction of $N = \SI{12}{\bit}$) % decoding simulation% % \footnote{(3,6) regular LDPC code with $n=204, k=102$ % \cite[Code: 204.33.484]{mackay_enc}} % results % \end{itemize} % % \begin{figure}[H] % \centering % % \begin{tikzpicture} % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={BER}, % ymode=log, % legend columns=2, % legend style={at={(0.5,-0.45)},anchor=south}, % ymax=1.5, ymin=3e-8, % width=0.33\textwidth, % height=0.28\textwidth, % ] % \addplot[ForestGreen, mark=*, solid] % table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % % \addplot[NavyBlue, mark=*, solid] % table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[RoyalPurple, mark=triangle, densely dashed] % table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % % \addplot[RedOrange, mark=*, solid] % table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[red, mark=triangle, densely dashed] % table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % \end{axis} % \end{tikzpicture} % \begin{tikzpicture} % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={FER}, % ymode=log, % legend columns=2, % legend style={at={(0.5,-0.45)},anchor=south}, % ymax=1.5, ymin=3e-8, % width=0.33\textwidth, % height=0.28\textwidth, % ] % % \addplot[ForestGreen, mark=*, solid] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/hybrid/2d_ber_fer_dfr_20433484.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_20433484.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_20433484.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_20433484.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_20433484.csv}; % \end{axis} % \end{tikzpicture} % \begin{tikzpicture} % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={Decoding Failure Rate}, % ymode=log, % legend columns=2, % legend style={at={(0.5,-0.45)},anchor=south}, % ymax=1.5, ymin=3e-8, % width=0.33\textwidth, % height=0.28\textwidth, % ] % % \addplot[ForestGreen, mark=*, solid] % table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % % \addplot[NavyBlue, mark=*, solid] % table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[RoyalPurple, mark=triangle, densely dashed] % table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % % \addplot[RedOrange, mark=*, solid] % table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[red, mark=triangle, densely dashed] % table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % \end{axis} % \end{tikzpicture} % \begin{tikzpicture} % \begin{axis}[hide axis, % xmin=10, xmax=50, % ymin=0, ymax=0.4, % legend columns=3, % legend style={draw=white!15!black,legend cell align=left}] % \addlegendimage{ForestGreen, mark=*, solid} % \addlegendentry{proximal, $\gamma = 0.15$} % % \addlegendimage{NavyBlue, mark=*, solid} % \addlegendentry{proximal, $\gamma = 0.01$} % % \addlegendimage{RedOrange, mark=*, solid} % \addlegendentry{proximal, $\gamma = 0.05$} % % \addlegendimage{Emerald, mark=triangle, densely dashed} % \addlegendentry{improved, $\gamma = 0.15$} % % \addlegendimage{RoyalPurple, mark=triangle, densely dashed} % \addlegendentry{improved, $\gamma = 0.01$} % % \addlegendimage{red, mark=triangle, densely dashed} % \addlegendentry{improved, $\gamma = 0.05$} % \end{axis} % \end{tikzpicture} % % \caption{Simulation results for $\gamma = 0.05, \omega = 0.05, K=200, N=12$} % \label{fig:simulation_results_hybrid} % \end{figure} %\end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %\begin{frame}[t] % \frametitle{Proximal Decoding: Improvement} % % \begin{minipage}[c]{0.9\textwidth} % \centering % \begin{figure}[H] % \vspace*{-0.6cm} % \hspace*{-0.7cm} % \centering % \begin{subfigure}[c]{0.33\textwidth} % \centering % % \begin{tikzpicture}[scale=0.4] % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={FER}, % ymode=log, % legend columns=1, % legend pos=outer north east, % %legend columns=2, % %legend style={at={(0.5,-0.45)},anchor=south}, % ymax=1.5, ymin=8e-5, % ] % % \addplot[ForestGreen, mark=*, solid] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/proximal/2d_ber_fer_dfr_963965.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/hybrid/2d_ber_fer_dfr_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}; % % \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}; % \end{axis} % \end{tikzpicture} % \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=96, k=48$ \cite[\text{96.3.965}]{mackay_enc}} % \end{subfigure}% % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={FER}, % ymode=log, % legend columns=1, % legend pos=outer north east, % xmin=0.5, xmax=6, xtick={1, ..., 5}, % ymax=1.5, ymin=8e-5, % ] % % \addplot[ForestGreen, mark=*, solid,] % table [x=SNR, y=FER, col sep=comma, % discard if not={gamma}{0.15}, % discard if gt={SNR}{5.5},] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, % discard if not={gamma}{0.15}, % discard if gt={SNR}{5.5},] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % % \addplot[NavyBlue, mark=*, solid] % table [x=SNR, y=FER, col sep=comma, % discard if not={gamma}{0.01}, % discard if gt={SNR}{5.5},] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[RoyalPurple, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, % discard if not={gamma}{0.01}, % discard if gt={SNR}{5.5},] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % % \addplot[RedOrange, mark=*, solid] % table [x=SNR, y=FER, col sep=comma, % discard if not={gamma}{0.05}, % discard if gt={SNR}{5.5},] % {res/proximal/2d_ber_fer_dfr_20433484.csv}; % \addplot[red, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, % discard if not={gamma}{0.05}, % discard if gt={SNR}{5.5},] % {res/hybrid/2d_ber_fer_dfr_20433484.csv}; % \end{axis} % \end{tikzpicture} % \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc}} % \end{subfigure}% % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={FER}, % ymode=log, % legend columns=1, % legend pos=outer north east, % %legend columns=2, % %legend style={at={(0.5,-0.45)},anchor=south}, % ymax=1.5, ymin=8e-5, % ] % % \addplot[ForestGreen, mark=*, solid] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/proximal/2d_ber_fer_dfr_40833844.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/hybrid/2d_ber_fer_dfr_40833844.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_40833844.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_40833844.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_40833844.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_40833844.csv}; % \end{axis} % \end{tikzpicture} % \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=408, k=204$ \cite[\text{408.33.844}]{mackay_enc}} % \end{subfigure} % \hspace*{-0.7cm} % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={FER}, % ymode=log, % legend columns=1, % legend pos=outer north east, % %legend columns=2, % %legend style={at={(0.5,-0.45)},anchor=south}, % ymax=1.5, ymin=8e-5, % ] % % \addplot[ForestGreen, mark=*, solid] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/proximal/2d_ber_fer_dfr_bch_31_26.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/hybrid/2d_ber_fer_dfr_bch_31_26.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_bch_31_26.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_bch_31_26.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_bch_31_26.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_bch_31_26.csv}; % \end{axis} % \end{tikzpicture} % \caption{BCH code with $n=31, k=26$\\[\baselineskip]} % \end{subfigure}% % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={FER}, % ymode=log, % legend columns=1, % legend pos=outer north east, % %legend columns=2, % %legend style={at={(0.5,-0.45)},anchor=south}, % ymax=1.5, ymin=8e-5, % ] % % \addplot[ForestGreen, mark=*, solid] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/proximal/2d_ber_fer_dfr_20455187.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/hybrid/2d_ber_fer_dfr_20455187.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_20455187.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_20455187.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_20455187.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_20455187.csv}; % \end{axis} % \end{tikzpicture} % \caption{$\left( 5, 10 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.55.187}]{mackay_enc}} % \end{subfigure}% % \begin{subfigure}[c]{0.33\textwidth} % \centering % \begin{tikzpicture}[scale=0.4] % \begin{axis}[ % grid=both, % xlabel={$E_b / N_0$}, ylabel={FER}, % ymode=log, % legend columns=1, % legend pos=outer north east, % ymax=1.5, ymin=8e-5, % ] % % \addplot[ForestGreen, mark=*, solid] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv}; % \addplot[Emerald, mark=triangle, densely dashed] % table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] % {res/hybrid/2d_ber_fer_dfr_pegreg252x504.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_pegreg252x504.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_pegreg252x504.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_pegreg252x504.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_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}% % \end{figure} % \end{minipage}% % \begin{minipage}[c]{0.1\textwidth} % \centering % % \begin{figure} % \vspace*{-1.5cm} % \hspace*{-0.7cm} % \centering % \begin{tikzpicture}[scale=0.7] % \begin{axis}[hide axis, % xmin=10, xmax=50, % ymin=0, ymax=0.4, % legend style={draw=white!15!black,legend cell align=left}] % \addlegendimage{ForestGreen, mark=*, solid} % \addlegendentry{proximal, $\gamma = 0.15$} % % \addlegendimage{Emerald, mark=triangle, densely dashed} % \addlegendentry{improved, $\gamma = 0.15$} % % \addlegendimage{NavyBlue, mark=*, solid} % \addlegendentry{proximal, $\gamma = 0.01$} % % \addlegendimage{RoyalPurple, mark=triangle, densely dashed} % \addlegendentry{improved, $\gamma = 0.01$} % % \addlegendimage{RedOrange, mark=*, solid} % \addlegendentry{proximal, $\gamma = 0.05$} % % \addlegendimage{red, mark=triangle, densely dashed} % \addlegendentry{improved, $\gamma = 0.05$} % \end{axis} % \end{tikzpicture} % % \end{figure} % \end{minipage} %\end{frame}