Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework

doi:10.1109/JSAC.2023.3240714

	Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework
	Peng Gao1,2,3 ; Lixiang Lian1 ; Jinpei Yu1,2,3
	2023-05-01
发表期刊	IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (IF:13.8[JCR-2023],13.1[5-Year])
ISSN	1558-0008
卷号	41 期号:5 页码:1-1
发表状态	已发表
DOI	10.1109/JSAC.2023.3240714
摘要	Integrated sensing and communication (ISAC) has been a promising technology in beyond 5G and 6G network to simultaneously support high-speed information transfer and high-quality environmental perception. Cloud radio access networks (C-RAN) enables the cooperation among multiple base stations (BSs) to provide additional cooperation gains for both communication and sensing functionalities. In this paper, we investigate the cooperative ISAC (CoISAC) system with rate-splitting multiple access (RSMA) transmission scheme for advanced interference management and direct localization sensing scheme to provide high-accuracy positioning services. Specifically, we adopt Pareto optimization framework to characterize the achievable performance region of the CoISAC system built on the sum rate of multiple communication users and the positioning error bound of radar target. Then, we formulate communication-centric and radar-centric optimization problems in the CoISAC system to systematically search for the optimal Pareto boundary of the achievable performance region. Two iterative algorithms based on successive convex approximation (SCA) are proposed to effectively solve these two optimization problems, respectively, therefore near-optimal Pareto boundary can be found. Numerical results show that the RSMA-assisted CoISAC system achieves the best trade-off performance among various baselines. The cooperative scheme can fully unveil the potential of RSMA in the ISAC system by providing more freedom for rate-splitting policy design under limited resources. Therefore, incorporating RSMA in the CoISAC system can significantly boost the overall performance.
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收录类别	SCI ; EI ; SCOPUS
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/282000
专题	信息科学与技术学院信息科学与技术学院_特聘教授组_余金培组信息科学与技术学院_博士生信息科学与技术学院_PI研究组_廉黎祥组
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Innovation Academy for Microsatellites, Chinese Academy of Sciences, Shanghai, China 3.University of Chinese Academy of Sciences, Beijing, China
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Peng Gao,Lixiang Lian,Jinpei Yu. Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework[J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,2023,41(5):1-1.
APA	Peng Gao,Lixiang Lian,&Jinpei Yu.(2023).Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework.IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,41(5),1-1.
MLA	Peng Gao,et al."Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework".IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 41.5(2023):1-1.