用于上行URLLC非正交多址的IRS辅助多用户检测

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2020-07-01 DOI:10.1109/infocomwkshps50562.2020.9162705

Lei Feng, Xiaoyu Que, Peng Yu, Wenjing Li, Xue-song Qiu

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引用次数: 7

摘要

智能反射面(IRS)被认为是提高下一代(5G)无线通信网络频谱和能源效率的高性价比技术，有望支持超可靠和低延迟通信(URLLC)的稳定传输。针对URLLC系统中用户信号的稀疏性和相关性特点，提出了一种基于压缩感知的IRS辅助多用户检测方法。仿真结果表明，该算法在可靠性和低延迟方面优于其他计算复杂度相近的MUD算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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