Deployment of RIS in MIMO OFDM Dual-Function Radar-Communication System

Dual-function radar-communication (DFRC) system is considered one of the most promising technologies in wireless communication systems. By using orthogonal frequency division multiplexing (OFDM), the system can sense several spatial directions while serving multiple users concurrently. Multi-input multi-output (MIMO) DFRC with the aid of a reconfigurable intelligent surface (RIS) is examined in this paper. Using genetic algorithms, this paper optimizes the mutual information (MI) performance metric for the targets while ensuring a minimum error rate for the users. For the scenarios considered in this paper, it is shown that the proper RIS deployment can improve the system performance by 20%.

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Publication Details

Published
2025-03-22
DOI
https://doi.org/10.1109/southeastcon56624.2025.10971624
Primary Topic
Radar Systems and Signal Processing
Type
article
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article

Deployment of RIS in MIMO OFDM Dual-Function Radar-Communication System

Nihad A. A. Elhag, Sharief F. Babikir, Liang Liu, Ping Wei
Radar Systems and Signal Processing
article

Deployment of RIS in MIMO OFDM Dual-Function Radar-Communication System

Nihad A. A. Elhag, Sharief F. Babikir, Liang Liu, Ping Wei
article en

Abstract

Dual-function radar-communication (DFRC) system is considered one of the most promising technologies in wireless communication systems. By using orthogonal frequency division multiplexing (OFDM), the system can sense several spatial directions while serving multiple users concurrently. Multi-input multi-output (MIMO) DFRC with the aid of a reconfigurable intelligent surface (RIS) is examined in this paper. Using genetic algorithms, this paper optimizes the mutual information (MI) performance metric for the targets while ensuring a minimum error rate for the users. For the scenarios considered in this paper, it is shown that the proper RIS deployment can improve the system performance by 20%.

University of Electronic Science and Technology of China (CN), University of Tennessee at Chattanooga (US), University of Gezira (SD)
Affordable and clean energy
Openalex Percentile: Top 89%
Radar Systems and Signal Processing
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