文献类型：期刊文献

英文题名：Joint User Pairing and Beamforming Design for NOMA-Aided CFMM-ISAC Systems

作者：Dong, Yuanyuan[1,2];Yang, Zhaohui[3,4];Wang, Hua[5];Hao, Nan[5];Li, Huxiong[1,2]

机构：[1]Shaoxing Univ, Sch Mech & Elect Engn, Shaoxing 312000, Peoples R China;[2]Shaoxing Univ, Inst Artificial Intelligence, Shaoxing 312000, Peoples R China;[3]Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China;[4]Zhejiang Prov Key Lab Informat Proc Commun & Netwo, Hangzhou 310007, Peoples R China;[5]Zhejiang Lab, Res Ctr Space Comp Syst, Hangzhou 311121, Peoples R China

年份：2025

卷号：12

期号：6

起止页码：6749

外文期刊名：IEEE INTERNET OF THINGS JOURNAL

收录：SCI-EXPANDED(收录号：WOS:001439565400008)、、EI(收录号：20244717385148)、Scopus(收录号：2-s2.0-86000437551)、WOS

基金：This work was supported in part by Natural Science Foundationof Zhejiang Province under Grant LY23F020006; in part by National Natural Science Foundation of China (NSFC) under Grant 62341208; in part by Zhejiang Science and Technology Project under Grant 2023C01021; in partby the Young Elite Scientists Sponsorship Program by CAST under Grant 2023QNRC001; in part by the Zhejiang Key R&D Program under Grant 2023C01021; and in part by the Fundamental Research Funds for the Central Universities under Grant K2023QA0AL02.

语种：英文

外文关键词：Sensors; Array signal processing; NOMA; Optimization; Channel estimation; Resource management; Radar; Internet of Things; Quality of service; Integrated sensing and communication; Beamforming; cell-free massive multiple-input-multiple-output (CFMM); integrated sensing and communication (ISAC); nonorthogonal multiple access (NOMA); user pairing

外文摘要：Integrated sensing and communication (ISAC) systems with cell-free massive multiple-input-multiple-output (CFMM) frameworks can offer significant performance improvements for both sensing and communication functions. However, there is an obstacle to the system supporting an extremely large number of users in explosive terminal access scenarios. In this article, we propose a novel nonorthogonal multiple access (NOMA)-aided CFMM-ISAC architecture to enhance the connectivity and efficiency of the system. First, we consider a commonly used single-radar sensing scenario and jointly design user pairing and beamforming to maximize the minimum achievable communication rate while ensuring the sensing requirement. To solve the nonconvexity of the formulated optimization problem, the binary variables denoting the feasible pairing of users are first relaxed into continuous variables. An iterative optimization programming algorithm is then developed using the semidefinite relaxation (SDR), rank-one constraint omission (RCO), and successive convex approximation (SCA) approaches. To obtain feasible initial points of the iterative algorithm, we propose an initial point construction algorithm. Based on the obtained user pairing strategy, a corrective beamforming scheme is devised. We further extend our proposed algorithms to a generalized multiradar sensing scenario. Simulation results validate that the proposed joint user pairing and beamforming design achieves noticeable performance improvements compared to the existing methods.