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相关论文: Polar Lattices: Where Ar{\i}kan Meets Forney

200 篇论文

In this paper, we propose a coding scheme based on polar codes for empirical coordination of autonomous devices. We consider a two-node network with a noisy link in which the input and output signals have to be coordinated with the source…

信息论 · 计算机科学 2018-02-28 Giulia Cervia , Laura Luzzi , Maël Le Treust , Matthieu R. Bloch

In this paper, we investigate the construction of polar codes by Gaussian approximation (GA) and develop an approach based on piecewise Gaussian approximation (PGA). In particular, with the piecewise approach we obtain a function that…

信息论 · 计算机科学 2021-11-23 R. M. Oliveira , R. C. de Lamare

This paper deals with Low-Density Construction-A (LDA) lattices, which are obtained via Construction A from non-binary Low-Density Parity-Check codes. More precisely, a proof is provided that Voronoi constellations of LDA lattices achieve…

信息论 · 计算机科学 2016-03-10 Nicola di Pietro , Gilles Zémor , Joseph J. Boutros

Ar{\i}kan's polar coding, is by now a well studied technique that allows achieving the symmetric capacity of binary input memoryless channels with low complexity encoding and decoding, provided that the polar decoding architecture is used…

信息论 · 计算机科学 2018-05-08 Mine Alsan

Polar codes are a class of linear error correction codes which provably attain channel capacity with infinite codeword lengths. Finite length polar codes have been adopted into the 5th Generation 3GPP standard for New Radio, though their…

信息论 · 计算机科学 2019-02-07 Adam Cavatassi , Thibaud Tonnellier , Warren J. Gross

A hybrid automatic repeat request (HARQ) scheme based on a novel class of rate-compatible polar (\mbox{RCP}) codes are proposed. The RCP codes are constructed by performing punctures and repetitions on the conventional polar codes.…

信息论 · 计算机科学 2016-11-17 Kai Chen , Kai Niu , Jiaru Lin

The L-user additive white Gaussian noise multiway relay channel is investigated, where L users exchange information at the same rate through a single relay. A new achievable rate region, based on the functional-decode-forward coding…

信息论 · 计算机科学 2012-09-10 Lawrence Ong , Christopher M. Kellett , Sarah J. Johnson

Sparse superposition codes, or sparse regression codes, constitute a new class of codes which was first introduced for communication over the additive white Gaussian noise (AWGN) channel. It has been shown that such codes are…

信息论 · 计算机科学 2018-11-12 Jean Barbier , Mohamad Dia , Nicolas Macris

A lower bound on minimum distance of convolutional polar codes is provided. The bound is obtained from the minimum weight of generalized cosets of the codes generated by bottom rows of the polarizing matrix. Moreover, a construction of…

信息论 · 计算机科学 2020-07-02 Ruslan Morozov , Peter Trifonov

In this paper, we study systematic Luby Transform (SLT) codes over additive white Gaussian noise (AWGN) channel. We introduce the encoding scheme of SLT codes and give the bipartite graph for iterative belief propagation (BP) decoding…

信息论 · 计算机科学 2015-05-11 Shengkai Xu , Dazhuan Xu , Xiaofei Zhang , Hanqin Shao

Recently, Ar{\i}kan introduced the method of channel polarization on which one can construct efficient capacity-achieving codes, called polar codes, for any binary discrete memoryless channel. In the thesis, we show that decoding algorithm…

信息论 · 计算机科学 2010-02-19 Ryuhei Mori

The capacity-achieving input distribution of the discrete-time, additive white Gaussian noise (AWGN) channel with an amplitude constraint is discrete and seems difficult to characterize explicitly. A dual capacity expression is used to…

信息论 · 计算机科学 2015-11-30 Andrew Thangaraj , Gerhard Kramer , Georg Bocherer

Polar codes were recently introduced by Ar\i kan. They achieve the capacity of arbitrary symmetric binary-input discrete memoryless channels under a low complexity successive cancellation decoding strategy. The original polar code…

信息论 · 计算机科学 2009-01-26 Satish Babu Korada , Eren Sasoglu , Rudiger Urbanke

We propose a new framework for constructing polar codes (i.e., selecting the frozen bit positions) for arbitrary channels, and tailored to a given decoding algorithm, rather than based on the (not necessarily optimal) assumption of…

信息论 · 计算机科学 2019-01-31 Ahmed Elkelesh , Moustafa Ebada , Sebastian Cammerer , Stephan ten Brink

We construct a joint coordination-channel polar coding scheme for strong coordination of actions between two agents $\mathsf X$ and $\mathsf Y$, which communicate over a discrete memoryless channel (DMC) such that the joint distribution of…

信息论 · 计算机科学 2018-08-16 Sarah A. Obead , Jörg Kliewer , Badri N. Vellambi

A polar coding scheme for fading channels is proposed in this paper. More specifically, the focus is Gaussian fading channel with a BPSK modulation technique, where the equivalent channel could be modeled as a binary symmetric channel with…

信息论 · 计算机科学 2013-04-16 Hongbo Si , O. Ozan Koyluoglu , Sriram Vishwanath

We consider the additive white Gaussian noise channels. We prove that the error probability of decoding tends to one exponentially for rates above the capacity and derive the optimal exponent function. We shall demonstrate that the…

信息论 · 计算机科学 2017-02-07 Yasutada Oohama

In this work, we propose a decoding method of Golay codes from the perspective of Polarization Adjusted Convolutional (PAC) codes. By invoking Forney's cubing construction of Golay codes and their generators $G^*(8,7)/(8,4)$, we found…

信息论 · 计算机科学 2026-02-11 Yujun Ji , Ling Liu , Shanxiang Lyu , Chao Chen , Tao Dai , Baoming Bai

Polar codes are high density parity check codes and hence the sparse factor graph, instead of the parity check matrix, has been used to practically represent an LP polytope for LP decoding. Although LP decoding on this polytope has the…

信息论 · 计算机科学 2014-04-30 Veeresh Taranalli , Paul H. Siegel

The polar codes are proven to be capacity-achieving and are shown to have equivalent or even better finite-length performance than the turbo/LDPC codes under some improved decoding algorithms over the additive white Gaussian noise (AWGN)…

信息论 · 计算机科学 2014-05-20 Kai Chen , Kai Niu , Jiaru Lin