Journal on Communications ›› 2022, Vol. 43 ›› Issue (2): 15-21.doi: 10.11959/j.issn.1000-436x.2022028

• Papers • Previous Articles     Next Articles

Intelligent transmit power control algorithm for the multi-user interference of wireless network

Xianchao ZHANG1,2, Yao ZHAO3, Haijun YE4, Rui FAN5   

  1. 1 National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
    2 Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province, Jiaxing University, Jiaxing 314001,China
    3 School of Information and Electronics, Beijing Institute of Technology, Beijing 100081,China
    4 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
    5 China Academic of Electronics and Information Technology, Beijing 100041,China
  • Revised:2021-12-17 Online:2022-02-25 Published:2022-02-01
  • Supported by:
    The National Natural Science Foundation of China(61941104);The National Natural Science Foundation of China(U19B2015)

Abstract:

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.

Key words: wireless network, interference management of multiple users, transmit power control, deep reinforcement learning, power control time

CLC Number: 

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