Study of Iterative Detection and Decoding for RIS-Aided Multiuser Multi-Antenna Systems

TL;DR

This paper proposes a novel iterative detection and decoding scheme for RIS-assisted multiuser multi-antenna systems, integrating LDPC coding, RIS processing, and advanced filtering to improve performance.

Contribution

It introduces a joint iterative detection strategy combining LDPC codes, RIS processing, and soft interference cancellation, which enhances detection accuracy in multiuser systems.

Findings

Significant bit error rate improvements demonstrated

Enhanced system capacity shown through simulations

Effective interference mitigation in block-fading channels

Abstract

We present a novel iterative detection and decoding (IDD) scheme for Reconfigurable Intelligent Surface (RIS)-assisted multiuser multiple-antenna systems. The proposed approach introduces a joint iterative detection strategy that integrates Low-Density Parity-Check (LDPC) codes, RIS processing and iterative detection and decoding. In particular, we employ a minimum mean square error receive filter that performs truncation at the RIS and soft interference cancelation at the receiver. Simulation results evaluate the system's overall capacity and bit error rate, and demonstrate substantial improvements in bit error rate across block-fading channels.