Integrated Sensing and Communication in Coordinated Cellular Networks

被引:7
|
作者
Xu, Dongfang [1 ]
Liu, Chang [2 ]
Song, Shenghui [1 ]
Ng, Derrick Wing Kwan [3 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept ECE, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Dept EIE, Hong Kong, Peoples R China
[3] Univ New South Wales, Sydney, NSW, Australia
来源
2023 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP, SSP | 2023年
关键词
Integrated sensing and communication; beamforming design; resource allocation; self-interference management; OPTIMAL RESOURCE-ALLOCATION; MIMO COMMUNICATIONS; SYSTEMS; RADAR; ROBUST; DESIGN;
D O I
10.1109/SSP53291.2023.10207991
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Integrated sensing and communication (ISAC) is a promising technique to provide sensing services in future wireless networks. Numerous existing works have adopted a monostatic radar architecture to realize ISAC, i.e., employing the same base station (BS) to transmit the ISAC signal and receive the echo. Yet, the concurrent information transmission causes unavoidable self-interference (SI) to the radar echo at the BS. To overcome this difficulty, we propose a coordinated cellular network-supported multistatic radar architecture to implement ISAC, which allows us to spatially separate the ISAC signal transmission and radar echo reception, intrinsically circumventing the problem of SI. To this end, we jointly optimize the transmit and receive beamforming policy to minimize the sensing beam pattern mismatch error subject to ISAC quality-of-service requirements. The resulting non-convex optimization problem is tackled by an alternating optimization-based suboptimal algorithm. Simulation results showed that the proposed scheme outperforms the two baseline schemes adopting conventional designs.
引用
收藏
页码:90 / 94
页数:5
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