基于无线传播环境的无蜂窝大规模MIMO系统接入点部署优化

姜静; 刘永强; 严冯洋; 陶莎; Worakrin Sutthiphan

doi:10.11959/j.issn.1000-0801.2024022

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基于无线传播环境的无蜂窝大规模MIMO系统接入点部署优化

研究与开发 | 更新时间：2024-06-05

- 基于无线传播环境的无蜂窝大规模MIMO系统接入点部署优化
- Environment-aware based access point deployment optimization for cell-free massive MIMO system
- 电信科学 2024年40卷第2期页码：11-21
- 作者机构：
  
  1. 西安邮电大学陕西省信息通信网络及安全重点实验室，陕西西安 710121
  2. 泰国国家电信有限公司，泰国曼谷 10700
- 作者简介：
  
  [ "姜静（1974- ），女，博士，西安邮电大学科研处处长、教授、博士生导师，主要研究方向为人工智能在无线通信中的应用、大规模MIMO技术等" ]
  [ "刘永强（1998- ），男，西安邮电大学通信与信息工程学院硕士生，主要研究方向为大规模MIMO技术" ]
  [ "严冯洋（1999- ），男，西安邮电大学通信与信息工程学院硕士生，主要研究方向为大规模MIMO技术" ]
  [ "陶莎（1999- ），女，西安邮电大学通信与信息工程学院硕士生，主要研究方向为大规模MIMO技术" ]
  [ "Worakrin Sutthiphan（1980- ），男，泰国国家电信有限公司移动网络规划经理，主要研究方向为无线网络规划、网络资源配置优化等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61871321);国家自然科学基金资助项目;The National Natural Science Foundation of China(61901370);陕西省国际科技合作项目重点计划项目;Key Program for International Science and Technology Cooperation Projects of Shaanxi Province(2023-GHZD-37);陕西省重点产业链项目;Key Industrial Chain Projects of Shaanxi Province(2023-ZDLGY-49)
- DOI：10.11959/j.issn.1000-0801.2024022
  中图分类号： TN929.5
- 网络出版日期：2024-02，
  
  纸质出版日期：2024-02-20
- 稿件说明：
移动端阅览
姜静, 刘永强, 严冯洋, 等. 基于无线传播环境的无蜂窝大规模MIMO系统接入点部署优化[J]. 电信科学, 2024,40(2):11-21.

Jing JIANG, Yongqiang LIU, Fengyang YAN, et al. Environment-aware based access point deployment optimization for cell-free massive MIMO system[J]. Telecommunications science, 2024, 40(2): 11-21.
姜静, 刘永强, 严冯洋, 等. 基于无线传播环境的无蜂窝大规模MIMO系统接入点部署优化[J]. 电信科学, 2024,40(2):11-21. DOI： 10.11959/j.issn.1000-0801.2024022.

Jing JIANG, Yongqiang LIU, Fengyang YAN, et al. Environment-aware based access point deployment optimization for cell-free massive MIMO system[J]. Telecommunications science, 2024, 40(2): 11-21. DOI： 10.11959/j.issn.1000-0801.2024022.

摘要

无蜂窝大规模多输入多输出（MIMO）系统通过在覆盖区域内部署大量的接入点（AP），可以为用户提供均匀、可靠的服务。传统的无蜂窝大规模MIMO系统采用随机部署，未考虑AP周围的路径损耗、阴影衰落散射物以及环境遮挡对覆盖质量的影响。为了考虑实际环境下无蜂窝大规模MIMO能实现均匀、一致的覆盖，提出了基于无线传播环境的AP部署方案。首先，通过混合概率路径损耗模型对无线传播环境进行表征，其次构建了以最大化平均吞吐量为目标的AP部署优化问题，最后将问题转化为马尔可夫博弈过程，并且基于多智能体深度确定性策略梯度（MADDPG）算法得出最优的AP部署策略。仿真结果表明，相比于传统的随机部署和现有AP部署策略，所提方案可明显改善复杂环境下的非均匀覆盖问题，为用户提供良好一致的均匀覆盖。

Abstract

Cell-free massive multiple-input multiple-output (MIMO) systems deploy a large number of access point (AP) across the coverage area which can provide uniform high-rate services to users.However

the quality of coverage would be affected by path loss

shadow fading scatters

and environmental occlusions around the randomly placed AP in conventional cell-free massive MIMO systems that do not consider their impact.Considering the impact of actual wireless propagation environments

an AP deployment scheme was proposed to acquire uniform and consistent coverage.Firstly

a hybrid probabilistic path loss model was utilized to characterize various wireless propagation environments.Then

the AP deployment optimization problem was solved with the objective of maximizing the average throughput.Finally

the problem was transformed into a Markov game process and solved by the multi-agent deep deterministic policy gradient (MADDPG) algorithm.The simulation results demonstrate that the proposed scheme can provide more uniform coverage in complex environments and serve users with reliable and consistent service compared to random AP deployment and existing AP deployment methods.

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references

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