IRS Assisted Multiple User Detection for Uplink URLLC Non-Orthogonal Multiple Access

Abstract

Intelligent reflecting surface (IRS) has been recognized as a cost-effective technology to enhance spectrum and energy efficiency in the next generation (5G) wireless communication networks, which is expected to support stable transmission for ultra reliable and low latency communications (URLLC). This paper focuses on the usage of IRS in uplink URLLC system and proposes a compressive sensing based IRS assisted multiple user detection method to deal with the sparsity and relativity characteristic of user signal in URLLC system. Simulation results demonstrate that our proposed algorithm achieves better performance than that of other MUD algorithms with similar computational complexity in terms of reliability and low latency.