Mutual Information-Based Integrated Sensing and Communications: A WMMSE Framework

被引：1

作者：

Peng, Yizhou ^{[1
]}

Yang, Songjie ^{[1
]}

Lyu, Wanting ^{[1
]}

Li, Ya ^{[2
]}

He, Hongjun ^{[2
]}

Zhang, Zhongpei ^{[1
]}

Assi, Chadi ^{[3
]}

机构：

[1] Univ Elect Sci & Technol China, Natl Key Lab Wireless Commun, Chengdu 611731, Peoples R China

[2] China Mobile Res Inst, Future Res Lab, Beijing, Peoples R China

[3] Concordia Univ, Montreal, PQ, Canada

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2024年 / 13卷 / 10期

关键词：

Sensors; Clutter; Measurement; Array signal processing; Signal to noise ratio; Optimization; Wireless sensor networks; Integrated sensing and communication; WMMSE; mutual information; iterative optimization; beamforming design; BISTATIC RADAR; MAXIMIZATION;

D O I：

10.1109/LWC.2024.3412974

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, a weighted minimum mean square error (WMMSE) empowered integrated sensing and communication (ISAC) method is investigated. One transmitting base station and one receiving wireless access point are considered to serve multiple users and a sensing target. Inspired by mutual information (MI), a unified framework to link sensing and communication is constructed, and communication MI and sensing MI rates are utilized as the performance metrics under the presence of clutters. In particular, we propose a novel MI-based WMMSE-ISAC method to maximize the weighted sensing and communication sum rate of this system. Such a maximization process is achieved by utilizing the classical method-WMMSE, aiming to better manage the effect of sensing clutters and the interference among users. Numerical results show the effectiveness of our proposed method, and the performance trade-off between sensing and communication is also validated.

引用

页码：2642 / 2646

页数：5

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