{"title":"协同无小区双功能雷达通信网络的半分布式混合波束形成设计","authors":"Bowen Wang, Lingyun Xu, Ziyang Cheng, Zishu He","doi":"10.1109/ICASSPW59220.2023.10193721","DOIUrl":null,"url":null,"abstract":"To improve both radar sensing and communication performances, this paper proposes a cooperative cell-free dual-function radar-communication (CCF-DFRC) network with hybrid beamforming (HBF) architecture. In the proposed CCF-DFRC network, multiple access points cooperatively provide communication services to users and detect multiple targets of interest. To show the benefits of the CCF-DFRC network, we formulate the joint HBF design problem to maximize the network communication capacity while satisfying the constraint of beampattern similarity for radar sensing. To solve the resulting high-dimensional and non-convex problem, a semi-distributed algorithm based on alternating optimization is proposed. Simulation results are provided to verify the effectiveness of the proposed algorithm and show the considerable potential of deploying CCF-DFRC networks.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semi-Distributed Hybrid Beamforming Design for Cooperative Cell-Free Dual-Function Radar-Communication Networks\",\"authors\":\"Bowen Wang, Lingyun Xu, Ziyang Cheng, Zishu He\",\"doi\":\"10.1109/ICASSPW59220.2023.10193721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve both radar sensing and communication performances, this paper proposes a cooperative cell-free dual-function radar-communication (CCF-DFRC) network with hybrid beamforming (HBF) architecture. In the proposed CCF-DFRC network, multiple access points cooperatively provide communication services to users and detect multiple targets of interest. To show the benefits of the CCF-DFRC network, we formulate the joint HBF design problem to maximize the network communication capacity while satisfying the constraint of beampattern similarity for radar sensing. To solve the resulting high-dimensional and non-convex problem, a semi-distributed algorithm based on alternating optimization is proposed. Simulation results are provided to verify the effectiveness of the proposed algorithm and show the considerable potential of deploying CCF-DFRC networks.\",\"PeriodicalId\":158726,\"journal\":{\"name\":\"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSPW59220.2023.10193721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSPW59220.2023.10193721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semi-Distributed Hybrid Beamforming Design for Cooperative Cell-Free Dual-Function Radar-Communication Networks
To improve both radar sensing and communication performances, this paper proposes a cooperative cell-free dual-function radar-communication (CCF-DFRC) network with hybrid beamforming (HBF) architecture. In the proposed CCF-DFRC network, multiple access points cooperatively provide communication services to users and detect multiple targets of interest. To show the benefits of the CCF-DFRC network, we formulate the joint HBF design problem to maximize the network communication capacity while satisfying the constraint of beampattern similarity for radar sensing. To solve the resulting high-dimensional and non-convex problem, a semi-distributed algorithm based on alternating optimization is proposed. Simulation results are provided to verify the effectiveness of the proposed algorithm and show the considerable potential of deploying CCF-DFRC networks.