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Research on Cooperative User Selection and Beamforming Techniques in Distributed IRS Assisted MIMO Systems
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Zhitong XING1, Zuzhao CHENG1, Guangfu WU1, 2, Yun LI1, 2, Jishen LIANG1, 3
Journal of Beijing University of Posts and Telecommunications | 2025, 48(5) : 136 - 143
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Journal of Beijing University of Posts and Telecommunications | 2025, 48(5): 136-143
• REPORTS •
Research on Cooperative User Selection and Beamforming Techniques in Distributed IRS Assisted MIMO Systems
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Zhitong XING1, Zuzhao CHENG1, Guangfu WU1, 2, Yun LI1, 2, Jishen LIANG1, 3
Affiliations
  • 1.School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • 2.School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • 3.Communication Cadet Cops, Army Engineering University, Chongqing 400035, China
doi: 10.13190/j.jbupt.2024-129
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In the sixth generation (6G) mobile communication system, intelligent reflecting surfaces (IRS) enhance wireless transmission efficiency by dynamically adjusting the wireless propagation environment. In distributed IRS-assisted multiple-input multiple-output (MIMO) systems, when the number of users significantly exceeds the number of antennas at the base station (BS) , the joint optimization of user selection and beamforming is crucial for reducing BS transmission power and promoting green communication. To address this, a model is established with the objective of minimizing BS transmission power by jointly optimizing user selection, BS beamforming vectors, and phase shift matrices of distributed IRSs while ensuring user quality of service (QoS). To simplify the model, it is decoupled into two subproblems that are iteratively optimized to approximate the optimal solution of the original problem. First，the artificial bee colony（ABC）algorithm and second-order cone programming（SOCP）are employed to determine the optimal user selection strategy and BS beamforming vectors. Then，the phase shift matrices of the IRSs are optimized using the semidefinite relaxation（SDR）method. Simulation results demonstrate that the proposed algorithm not only achieves good convergence but also effectively reduces the transmission power of the BS.

intelligent reflecting surface  /  multiple-input multiple-output  /  beamforming
Zhitong XING, Zuzhao CHENG, Guangfu WU, Yun LI, Jishen LIANG. Research on Cooperative User Selection and Beamforming Techniques in Distributed IRS Assisted MIMO Systems[J]. Journal of Beijing University of Posts and Telecommunications, 2025 , 48 (5) : 136 -143 . DOI: 10.13190/j.jbupt.2024-129
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doi: 10.13190/j.jbupt.2024-129
  • Receive Date：2024-06-12
  • Online Date：2026-04-16
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  • Received：2024-06-12
Affiliations
    1.School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    2.School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    3.Communication Cadet Cops, Army Engineering University, Chongqing 400035, China
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表12种不同金属材料的力学参数
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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