Capacity Optimality of AMP in Coded Systems

Lei Liu, Chulong Liang, Junjie Ma, Li Ping

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

This paper studies a large random matrix system (LRMS) model involving an arbitrary signal distribution and forward error control (FEC) coding. We establish an area property based on the approximate message passing (AMP) algorithm. Under the assumption that the state evolution for AMP is correct for the coded system, the achievable rate of AMP is analyzed. We prove that AMP achieves the constrained capacity of the LRMS with an arbitrary signal distribution provided that a matching condition is satisfied. We provide related numerical results of binary signaling using irregular low-density parity-check (LDPC) codes. We show that the optimized codes demonstrate significantly better performance over unmatched ones under AMP. For quadrature phase shift keying (QPSK) modulation, bit error rate (BER) performance within 1 dB from the constrained capacity limit is observed.
Original languageEnglish
Title of host publication2021 IEEE International Symposium on Information Theory
Subtitle of host publicationProceedings
PublisherIEEE
Pages1588-1593
ISBN (Electronic)978-1-5386-8209-8
ISBN (Print)978-1-5386-8210-4
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Symposium on Information Theory (ISIT 2021) - Virtual, Melbourne, Australia
Duration: 12 Jul 202120 Jul 2021
https://2021.ieee-isit.org/TechnicalProgram.asp
https://2021.ieee-isit.org/default.asp

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Conference

Conference2021 IEEE International Symposium on Information Theory (ISIT 2021)
PlaceAustralia
CityMelbourne
Period12/07/2120/07/21
Internet address

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