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

TL;DR

The proposed approach introduces a joint iterative detection strategy that integrates Low-Density Parity-Check codes, RIS processing and iterative detection and decoding and employs a minimum mean square error receive filter that performs truncation at the RIS and soft interference cancelation at the receiver.

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.

Figures (5)

• Figure 1: An RIS-aided MISO uplink communication system.
• Figure 2: System model of an IDD multiuser multiple-antenna system.
• Figure 3: Simulation scenario with weak direct link.
• Figure 4: $K = 12$ and $M = 32$. BER performances of IDD schemes under the perfect CSI.
• Figure 5: $K = 12$ and $M = 32$. Sum-rate of IDD schemes at the output of the detector under the perfect CSI.