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Sum-rate optimization for RIS-aided cell-free uplink communication systems with RSMA
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Guanye YU1, Jia YU2, Pei CHEN3, Shizhao YANG4, Yulu TIAN4, Xiaorong ZHU4
Journal of Nanjing University of Posts and Telecommunications(Natural Science Edition) | 2025, 45(5) : 31 - 41
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Journal of Nanjing University of Posts and Telecommunications(Natural Science Edition) | 2025, 45(5): 31-41
• Reconfigurable Intelligent Surface Empowered 6th Generation Broadband Wireless Communication Technology •
Sum-rate optimization for RIS-aided cell-free uplink communication systems with RSMA
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Guanye YU1, Jia YU2, Pei CHEN3, Shizhao YANG4, Yulu TIAN4, Xiaorong ZHU4
Affiliations
  • 1.Zhongzhexin Technology Consulting Co., Ltd., Hangzhou 310014, China
  • 2.State Grid Electric Power Research Institute Co., Ltd., Nanjing 210000,China
  • 3.State Grid Tianjin Electric Power Company Chengnan Power Supply Branch, Tianjin 300000,China
  • 4.School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003,China
doi: 10.14132/j.cnki.1673-5439.2025.05.004
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To address the challenges of environmental sensitivity in communication links and limited terminal access in cell-free communication systems, this paper introduces reconfigurable intelligent surface (RIS) and rate splitting multiple access (RSMA) technologies to assist communication. A sum-rate optimization algorithm is proposed for RIS-aided cell-free uplink communication systems with RSMA. The algorithm aims to maximize the system sum-rate by jointly optimizing RIS passive beamforming, access point selection, power allocation of sub-messages, and decoding order. Given the non-convex nature of this discrete nonlinear programming problem, we decompose it into multiple subproblems and address them by alternatively using an optimization approach. First, a user-centric matching algorithm based on channel gain is used to obtain the optimal matching scheme. Second, the successive convex approximation (SCA) algorithm is used to solve the sub-message power distribution problem, and the Riemann conjugate gradient algorithm is utilized to solve the RIS passive beamforming problem. Third, a decoding order algorithm is developed based on channel gain and the sub-message allocation ratio. Simulation results demonstrate that the proposed algorithm achieves superior sum-rate performance compared to traditional algorithms.

reconfigurable intelligent surface (RIS)  /  rate splitting multiple access(RSMA)  /  cell-free network  /  sum-rate
Guanye YU, Jia YU, Pei CHEN, Shizhao YANG, Yulu TIAN, Xiaorong ZHU. Sum-rate optimization for RIS-aided cell-free uplink communication systems with RSMA[J]. Journal of Nanjing University of Posts and Telecommunications(Natural Science Edition), 2025 , 45 (5) : 31 -41 . DOI: 10.14132/j.cnki.1673-5439.2025.05.004
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Year 2025 volume 45 Issue 5
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Article Info
doi: 10.14132/j.cnki.1673-5439.2025.05.004
  • Receive Date：2024-11-18
  • Online Date：2026-04-16
Article Data
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  • Received：2024-11-18
  • Revised：2024-12-16
Affiliations
    1.Zhongzhexin Technology Consulting Co., Ltd., Hangzhou 310014, China
    2.State Grid Electric Power Research Institute Co., Ltd., Nanjing 210000,China
    3.State Grid Tianjin Electric Power Company Chengnan Power Supply Branch, Tianjin 300000,China
    4.School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003,China
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