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- Title
多IRS辅助的NOMA URLLC系统性能优化.
- Authors
邱小剑; 阮杰; 付珍; 崔苗; 张广驰; 张璨
- Abstract
New wireless communication scenarios such as automated factories have stringent reliability and low latency requirements. In such wireless networks, the joint application of the intelligent reflecting surface (IRS), non-orthogonal multiple access (NOMA), and ultra-reliable and low-latency communication (URLLC) techniques has the potential to provide lower communication latency, higher reliability, and higher throughput performance, as compared to traditional wireless communication techniques. In a multi-IRS-assisted NOMA URLLC system where multiple users are divided into various clusters, it considers the problems of how to pair user clusters and IRSs and how to optimize the communication resource allocation. Specifically, it jointly investigates the user transmit power allocation, IRS reflection beamforming, and user-cluster-IRS pairing decision problems to maximize the sum of user throughputs. To solve the resulting non-convex optimization problem, it proposes an alternating iteration-based algorithm, which solves the three subproblems of power allocation optimization, IRS reflection beamforming optimization, and user cluster IRS pairing decision optimization alternately until achieving convergence by appropriately introducing slack variables and by using the semidefinite relaxation technique. Simulation results show that the proposed algorithm can significantly improve the system’s throughput and verify the necessity and effectiveness of user cluster-IRS pairing decision optimization.
- Subjects
UNITED States. Internal Revenue Service; WIRELESS communications; RELAXATION techniques; STATISTICAL decision making; BEAMFORMING; RESOURCE allocation; OPTICAL communications
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2023, Vol 40, Issue 9, p2815
- ISSN
1001-3695
- Publication type
Article
- DOI
10.19734/j.issn.1001-3695.2022.12.0826