Time-divisioned joint bi-static sensing and MU-MIMO communications

IF 2.2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-09-12 DOI:10.1016/j.phycom.2025.102834

Enhao Wang, Yun Xiao, Yunfei Chen, Aissa Ikhlef, Hongjian Sun

引用次数: 0

Abstract

Joint sensing and communications (JSAC) has been regarded as a key technology in the sixth-generation (6G) wireless communications system. Most existing works on JSAC consider a mono-static setting with a single user. In this work, a multi-user multiple-input multiple-output (MU-MIMO) JSAC system using bi-static sensing with time division is studied. Multi-user interference degrades communications but improves sensing. Both uplink and downlink are investigated. Time division is employed to avoid interference between communications and sensing. A tradeoff measure is optimized with respect to the number of users and time division parameter. Numerical results show that the optimum number of users and time division coefficient exist to maximize both channel capacity for communications and detection probability for sensing.

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时分联合双静态传感和MU-MIMO通信

联合传感与通信（JSAC）是第六代（6G）无线通信系统的关键技术。关于JSAC的大多数现有工作都考虑使用单个用户的单静态设置。本文研究了一种多用户多输入多输出（MU-MIMO） JSAC系统。多用户干扰会降低通信质量，但会提高感知能力。对上行链路和下行链路都进行了研究。采用时分法避免了通信与传感之间的干扰。针对用户数量和时间划分参数，优化了一种权衡度量。数值计算结果表明，存在最优用户数和最优时分系数，以最大限度地提高信道通信容量和感知检测概率。

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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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.