Iterative Detection and Decoding for Multiuser Systems Based on MMSE Refinements With Active or Passive RIS

An iterative detection and decoding (IDD) scheme is proposed for multiuser multiple-antenna systems assisted by an active or a passive Reconfigurable Intelligent Surface (RIS). The proposed approach features an IDD strategy that incorporates Low-Density Parity-Check (LDPC) codes, RIS processing with refinements of soft information in the form of log likelihood ratios (LLRs) and truncation. Specifically, a minimum mean square error (MMSE) receive filter is used for refinement of LLRs and truncation at the RIS, and for soft interference cancellation at the receiver. An analysis of the proposed MMSE refinement is also devised along with a study of the computational complexity of the proposed and existing schemes. Simulation results demonstrate significant improvements in system capacity and bit error rate in the presence of block-fading channels.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-11-07
DOI
https://doi.org/10.1109/lwc.2024.3494659
Citations
6
Primary Topic
Wireless Communication Networks Research
Type
article
Field-Weighted Citation Impact
2.09

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article

Iterative Detection and Decoding for Multiuser Systems Based on MMSE Refinements With Active or Passive RIS

Rodrigo C. de Lamare, Roberto Porto
6 citations
IEEE Wireless Communications Letters
Wireless Communication Networks Research
2.09
article

Iterative Detection and Decoding for Multiuser Systems Based on MMSE Refinements With Active or Passive RIS

Rodrigo C. de Lamare, Roberto Porto
article en
6 citations

Abstract

An iterative detection and decoding (IDD) scheme is proposed for multiuser multiple-antenna systems assisted by an active or a passive Reconfigurable Intelligent Surface (RIS). The proposed approach features an IDD strategy that incorporates Low-Density Parity-Check (LDPC) codes, RIS processing with refinements of soft information in the form of log likelihood ratios (LLRs) and truncation. Specifically, a minimum mean square error (MMSE) receive filter is used for refinement of LLRs and truncation at the RIS, and for soft interference cancellation at the receiver. An analysis of the proposed MMSE refinement is also devised along with a study of the computational complexity of the proposed and existing schemes. Simulation results demonstrate significant improvements in system capacity and bit error rate in the presence of block-fading channels.

IEEE Wireless Communications LettersVol. 14(1)
Pontifícia Universidade Católica do Rio de Janeiro (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Openalex Percentile: Top 12%
Wireless Communication Networks Research
2.09
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