无线网络多用户干扰下智能发射功率控制算法

张先超; 赵耀; 叶海军; 樊锐

doi:10.11959/j.issn.1000-436x.2022028

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无线网络多用户干扰下智能发射功率控制算法

学术论文 | 更新时间：2024-06-05

- 无线网络多用户干扰下智能发射功率控制算法
- Intelligent transmit power control algorithm for the multi-user interference of wireless network
- 通信学报 2022年43卷第2期页码：15-21
- 作者机构：
  
  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
- 作者简介：
  
  [ "张先超（1984-），男，安徽合肥人，博士，东南大学在站博士后，嘉兴学院教授，主要研究方向为无线网络资源管理、人工智能等" ]
  [ "赵耀（1996-），男，河南南乐人，北京理工大学博士生，主要研究方向为智能无线通信、无线资源管理等" ]
  [ "叶海军（1979-），男，安徽池州人，中国电子科学研究院研究员，主要研究方向为空基网络化信息系统体系作战、总体设计与综合集成" ]
  [ "樊锐（1989-），男，安徽滁州人，博士，中国电子科学研究院高级工程师，主要研究方向为网络信息体系、人工智能" ]
- 基金信息：
  
  国家自然科学基金资助项目(61941104);国家自然科学基金资助项目(U19B2015)
- DOI：10.11959/j.issn.1000-436x.2022028
  中图分类号： TN929.5
- 网络出版日期：2022-02，
  
  纸质出版日期：2022-02-25
- 稿件说明：
移动端阅览
张先超, 赵耀, 叶海军, 等. 无线网络多用户干扰下智能发射功率控制算法[J]. 通信学报, 2022,43(2):15-21.

Xianchao ZHANG, Yao ZHAO, Haijun YE, et al. Intelligent transmit power control algorithm for the multi-user interference of wireless network[J]. Journal on communications, 2022, 43(2): 15-21.
张先超, 赵耀, 叶海军, 等. 无线网络多用户干扰下智能发射功率控制算法[J]. 通信学报, 2022,43(2):15-21. DOI： 10.11959/j.issn.1000-436x.2022028.

Xianchao ZHANG, Yao ZHAO, Haijun YE, et al. Intelligent transmit power control algorithm for the multi-user interference of wireless network[J]. Journal on communications, 2022, 43(2): 15-21. DOI： 10.11959/j.issn.1000-436x.2022028.

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

。

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.

关键词

Keywords

references

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