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20202023
most citedOn Capacity Optimality of OAMP: Beyond IID Sensing Matrices and Gaussian Signaling

9 citations · 14 across the 11 of their papers we have counts for

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cs.IT2023

Power Allocation for the Base Matrix of Spatially Coupled Sparse Regression Codes

Nian Guo, Shansuo Liang, Wei Han

We investigate power allocation for the base matrix of a spatially coupled sparse regression code (SC-SPARC) for reliable communications over an additive white Gaussian noise chann…

cs.IT2023

Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms

Yiyao Cheng, Lei Liu, Shansuo Liang +2

Approximate message passing (AMP) algorithms break a (high-dimensional) statistical problem into parts then repeatedly solve each part in turn, akin to alternating projections. A d…

cs.IT2023

Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing

Yizhou Xu, YuHao Liu, ShanSuo Liang +4

Sparse regression codes (SPARCs) are a promising coding scheme that can approach the Shannon limit over Additive White Gaussian Noise (AWGN) channels. Previous works have proven th…

cs.IT2023

Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise

Teng Fu, YuHao Liu, Jean Barbier +3

We study the performance of a Bayesian statistician who estimates a rank-one signal corrupted by non-symmetric rotationally invariant noise with a generic distribution of singular…

cs.IT2022

Capacity Optimality of OAMP in Coded Large Unitarily Invariant Systems

Lei Liu, Shansuo Liang, Li Ping

This paper investigates a large unitarily invariant system (LUIS) involving a unitarily invariant sensing matrix, an arbitrary fixed signal distribution, and forward error control…

cs.IT2022

An Efficient Two-Stage SPARC Decoder for Massive MIMO Unsourced Random Access

Juntao You, Wenjie Wang, Shansuo Liang +2

In this paper, we study a concatenate coding scheme based on sparse regression code (SPARC) and tree code for unsourced random access in massive multiple-input and multiple-output…

cs.IT2022★ 5 cited

On Orthogonal Approximate Message Passing

Lei Liu, Yiyao Cheng, Shansuo Liang +2

Approximate Message Passing (AMP) is an efficient iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions, such as spar…

cs.IT2021★ 9 cited

On Capacity Optimality of OAMP: Beyond IID Sensing Matrices and Gaussian Signaling

Lei Liu, Shansuo Liang, Li Ping

This paper investigates a large unitarily invariant system (LUIS) involving a unitarily invariant sensing matrix, an arbitrarily fixed signal distribution, and forward error contro…

cs.IT2020

Compressed Coding, AMP Based Decoding and Analog Spatial Coupling

Shansuo Liang, Chulong Liang, Junjie Ma +1

This paper considers a compressed-coding scheme that combines compressed sensing with forward error control coding. Approximate message passing (AMP) is used to decode the message.…