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- Title
IRS 辅助 WPCN 用户公平性与系统吞吐量优化方案.
- Authors
丰敏; 朱江
- Abstract
To solve the problem of low user fairness and flexibility in WPCN, we propose an optimization scheme based on IRS. The scheme directly takes the sum of weighted FI and system throughput as the optimization goal, and establishes the joint optimization problem of user fairness and system throughput. Since the established optimization problem is nonconvex, the optimization problem is divided into the subproblems of slot length and IRS reflection coefficient optimization, and then they are solved alternately. For the slot length optimization, SCA algorithm is used to solve it. For the IRS reflection coefficient optimization, the closed form solution, SCA and SDR algorithms are used to solve it. Simulation results show that the proposed scheme is superior to other schemes in terms of user fairness and system flexibility.
- Subjects
REFLECTANCE; MATHEMATICAL optimization; PROBLEM solving; FAIRNESS; WIRELESS communications; NONCONVEX programming
- Publication
Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition), 2023, Vol 35, Issue 4, p615
- ISSN
1673-825X
- Publication type
Article
- DOI
10.3979/j.issn.1673-825X.202206010137