北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2025, Vol. 48 ›› Issue (1): 1-6,13.

• 论文 •    下一篇

无蜂窝大规模 MIMO 系统中基于 DDPG 的接入点选择算法

王鑫丽,徐瑨,孙梦颖,陶小峰   

  1. 北京邮电大学

  • 收稿日期:2023-11-15 修回日期:2024-01-11 出版日期:2025-02-26 发布日期:2025-02-25
  • 通讯作者: 陶小峰 E-mail:taoxf@bupt.edu.cn

DDPG-Based Access Point Selection in Cell-free Massive MIMO System

  • Received:2023-11-15 Revised:2024-01-11 Online:2025-02-26 Published:2025-02-25

摘要: 为避免无蜂窝大规模多输入多输出(MIMO)前传链路过载,提出了接入点选择的优化问题,以最大化前传链路使用效率。 首先,构建平均链路频谱效率用于衡量前传链路使用效率; 其次,建立最大化平均链路频谱效率同时满足用户服务质量需求的目标问题; 然后,考虑到目标问题的非凸性和优化变量的不可微性,传统优化算法求解较为困难,提出一种基于深度确定性策略梯度(DDPG)的动态接入点选择算法; 最后,优化 DDPG 的输出,使其适用于接入点选择的离散性动作。 仿真结果表明,所提算法能有效地提升系统的平均链路频谱效率并满足用户的服务质量需求。

关键词: 大规模多输入多输出, 无蜂窝网络架构, 接入点选择, 深度确定性策略梯度

Abstract: To avoid the overload of fronthaul links in cell-free massive multiple input multiple output (MIMO) system, an optimization problem for access point selection is formulated to maximize the fronthaul link usage efficiency. Firstly, the average spectral efficiency per-link is constructed to measure the utilization efficiency of the fronthaul link. Secondly, the objective problem of maximizing the average spectral efficiency per-link while meeting users’ quality of service requirements is established. Then, considering the non-convexity of the objective problem and the non-differentiability of the optimization variables, which makes it challenging for traditional optimization algorithms to find solutions, a dynamic access point selection algorithm based on deep deterministic policy gradient ( DDPG ) is proposed. Finally, the output of the DDPG is refined to ensure compatibility with the discrete nature of access point selection actions. Simulation results show that the proposed algorithm can effectively enhance the average spectral efficiency per link of the system and meet the quality of service requirements.

Key words: massive multiple input multiple output, cell-free network architecture, access point selection, deep deterministic policy gradient

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