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作 者:张先超 赵耀 叶海军 樊锐 ZHANG Xianchao;ZHAO Yao;YE Haijun;FAN Rui(National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China;Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province,Jiaxing University,Jiaxing 314001,China;School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China;School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;China Academic of Electronics and Information Technology,Beijing 100041,China)
机构地区:[1]东南大学移动通信国家重点实验室,江苏南京210096 [2]嘉兴学院浙江省医学电子与数字健康重点实验室,浙江嘉兴314001 [3]北京理工大学信息与电子学院,北京100081 [4]北京邮电大学信息与通信工程学院,北京100876 [5]中国电子科学研究院,北京100041
出 处:《通信学报》2022年第2期15-21,共7页Journal on Communications
基 金:国家自然科学基金资助项目(No.61941104,No.U19B2015)。
摘 要:针对无线网络多用户互相干扰的问题,通过对发射功率进行智能控制,实现干扰管理,保证多用户通信服务质量。首先,考虑复杂动态无线信道环境,建立以无线通信系统加权数据速率最大化为目标的发射功率控制模型。其次,设计以深度强化学习"行动器-评判器"为基本架构的智能发射功率控制算法,缩短功率控制决策时间。仿真验证表明,所提算法收敛速度快,在10对收发机场景下,计算时间缩短到传统最优算法的1/4。To deal with the inter-user interference problem in wireless networks, an intelligent transmit power control scheme was proposed to manage the inter-user interference and guarantee multiple users’ quality of service. Firstly, considering the complex dynamic wireless channel environment, a transmit power control model that aims to maximize the weighted sum-rate of the wireless communication system was established. Then, an intelligent power control algorithm based on the actor-critic framework in deep reinforcement learning was designed to shorten the power control decision time. Simulation results show that the proposed algorithm converges quickly, and when there are 10 pairs transceivers,the computation time consumed by the intelligent power control method is only a quarter of the time consumed by the traditional optimal algorithm.
关 键 词:无线网络 多用户干扰管理 发射功率控制 深度强化学习 功率控制时间
分 类 号:TN929.5[电子电信—通信与信息系统]
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