Journal Article10.1109/twc.2024.3357349
NOMA Assisted Full Space STAR-RIS-ISAC
Na Xue,Xidong Mu,Yuanwei Liu,Yue Chen +3 more
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TL;DR: A novel NOMA-assisted full-space ISAC framework is proposed, leveraging STAR-RIS to enhance radio sensing performance, and employing CB-NOMA to alleviate resource competition, with optimized power allocation and beamformer design using BCD and SDP algorithms.
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Abstract: A novel non-orthogonal multiple access (NOMA) assisted full space integrated sensing and communication (ISAC) framework is proposed to elevate the radio sensing performance. Exploiting the simultaneously transmitting and reflecting RIS (STAR-RIS) to extend the half-space into full-space ISAC coverage intensifies the competition for wireless resources. To alleviate this fierce competition as well as ensure ISAC performance, the cluster-based NOMA (CB-NOMA) technique is employed to save the joint communication and sensing (C&S) beams. Furthermore, the dedicated sensing beam accompanied by the joint C&S beams supports the radio sensing functionality. A minimum beampattern gain maximization problem is formulated to jointly optimize the power allocation, active and passive beamformer (BF) design, subject to communication requirements. To solve this non-convex problem, a block coordinate descent (BCD) based integral matrix algorithm is proposed to reach a suboptimal solution. For the joint power allocation and active BF block, the semidefinite relaxation and successive convex approximation are employed to optimize the coupled variables. For the passive BF block, the penalty-based method is invoked. To further reduce the complexity of the passive BF design, a BCD-based element-wise algorithm is proposed, where the joint phase shift and amplitude coefficients of each STAR-RIS element are optimized one by one. Simulation results verified that our proposed algorithms achieve higher beampattern gain towards the intended targets than the benchmark schemes accompanying less mismatch error.
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Citations
Next-Generation Multiple Access for Integrated Sensing and Communications
Yaxi Liu,Tianyao Huang,Fan Liu,Dingyou Ma,Wei Huangfu,Yonina C. Eldar +5 more
TL;DR: This article presents an overview of multiple access techniques for integrated sensing and communications, discussing orthogonal and non-orthogonal approaches in various domains to avoid interference and optimize resource allocation for efficient sensing and communication.
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Performance Analysis of STAR-IRS-aided MISO-ISAC Systems with Multiple Targets: A Rate-Splitting Approach
Soumen Mondal,Keshav Singh,Chih-Peng Li +2 more
TL;DR: This paper analyzes the performance of a STAR-IRS-aided MISO-ISAC system using rate-splitting multiple access, deriving closed-form expressions for ergodic sum capacity and outage probability, and demonstrating significant performance improvements with STAR-IRS and RSMA over traditional IRS and NOMA.
The Road to Next-Generation Multiple Access: A 50-Year Tutorial Review
Yuanwei Liu,Chongjun Ouyang,Zhiguo Ding,Robert Schober +3 more
TL;DR: The evolution of MA technologies over the past 50 years has significantly influenced wireless communications. This paper explores various MA techniques, including power-domain NOMA, spatial domain MA, and integrated sensing and communications systems. It also discusses major issues and research opportunities associated with the integration of MA with other emerging technologies.
RIS-Assisted Integrated Sensing and Communication via Full-Duplex Cooperative NOMA
Siyang Xu,Songze Wu,Yang Guo,Ye Zheng +3 more
TL;DR: This paper proposes a RIS-assisted integrated sensing and communication framework using full-duplex cooperative NOMA, integrating OMA to mitigate interference, and optimizes power allocation and beamforming to maximize weighted sum rate and sensing power.
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