基于改进遗传算法的多AP联合传输方案研究

刘曼; 方旭明

doi:10.11959/j.issn.2096-3750.2023.00346

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基于改进遗传算法的多AP联合传输方案研究

专题：短距无线通信技术 | 更新时间：2024-08-16

- 基于改进遗传算法的多AP联合传输方案研究
- Research on multi-AP joint transmission scheme based on improved genetic algorithm
- 物联网学报 2023年7卷第3期页码：62-71
- 作者机构：
- 作者简介：
  
  [ "刘曼（1997- ），女，西南交通大学信息科学与技术学院硕士生，主要研究方向为无线Wi-Fi网络" ]
  [ "方旭明（1962- ），男，博士，西南交通大学信息科学与技术学院教授，主要研究方向为通信感知计算一体化网络、Wi-Fi网络、智能交通移动通信系统等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(62071393)
- DOI：10.11959/j.issn.2096-3750.2023.00346
  中图分类号： TN929.5
- 纸质出版日期：2023-09-30，
  
  网络出版日期：2023-09，
- 稿件说明：
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刘曼, 方旭明. 基于改进遗传算法的多AP联合传输方案研究[J]. 物联网学报, 2023,7(3):62-71.

MAN LIU, XUMING FANG. Research on multi-AP joint transmission scheme based on improved genetic algorithm. [J]. Chinese journal on internet of things, 2023, 7(3): 62-71.
刘曼, 方旭明. 基于改进遗传算法的多AP联合传输方案研究[J]. 物联网学报, 2023,7(3):62-71. DOI： 10.11959/j.issn.2096-3750.2023.00346.

MAN LIU, XUMING FANG. Research on multi-AP joint transmission scheme based on improved genetic algorithm. [J]. Chinese journal on internet of things, 2023, 7(3): 62-71. DOI： 10.11959/j.issn.2096-3750.2023.00346.

摘要

为解决密集Wi-Fi网络中重叠基本服务集（OBSS

overlapping basic service set）用户受到严重的同频干扰，导致接收信号信干噪比（SINR

signal to interference plus noise ratio）值低、数据传输速率低或者无法传输的问题，提出了一种基于改进遗传算法（IGA

improved genetic algorithm）选择接入点（AP

access point）协作集的多AP联合传输（JT

joint transmission）方案。首先，利用SINR阈值法将系统内所有站点（STA

station）分为中心用户和边缘用户，边缘用户采用JT方案。然后，以最大化边缘用户吞吐量为目标，利用IGA为每个边缘用户确定合适的协作AP形成其专属的AP协作集，最大化JT技术的潜在增益。仿真结果表明，所提方案在密集Wi-Fi网络场景下能够有效减小基本服务集（BSS

basic service set）间的同频干扰，提升BSS边缘用户的性能和吞吐量。

Abstract

In order to solve the problem that overlapping basic service set (OBSS) users are subject to serious co-frequency interference in the dense Wi-Fi network

resulting in low signal to interference plus noise ratio (SINR) of received signals

low data transmission rate or inability to transmit

a multi-access point (AP) joint transmission (JT) scheme based on improved genetic algorithm (IGA) selection of AP coordination set was proposed.Firstly

the SINR threshold method was used to divide all station (STA) in the system into central users and edge users

and the JT scheme was adopted for edge users.Then

with the goal of maximizing the throughput of edge users

IGA was proposed to determine the appropriate coordinated AP for each edge user to form its own AP coordination set

and maximize the potential gain of JT technology.The simulation results show that the proposed scheme can effectively reduce the co-frequency interference between BSS and improve the performance and throughput of BSS edge users in dense network.

关键词

密集Wi-Fi网络BSS边缘用户多AP协调联合传输改进遗传算法

Keywords

dense Wi-Fi networkBSS-edge usermulti-AP coordinationjoint transmissionIGA

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