密集部署Wi-Fi场景下的干扰协调研究  

Interference Coordination in Densely Deployed Wi-Fi Scenarios

作　　者：骆冬琼 方旭明[1] LUO Dongqiong;FANG Xuming(School of Information Science and Technology,Southwest Jiaotong University,Chengdu Sichuan 611756,China)

机构地区：[1]西南交通大学信息科学与技术学院,四川成都611756

出　　处：《通信技术》2022年第6期727-734,共8页Communications Technology

基　　金：四川省应用基础研究重点项目“基于智能云和边缘计算的车联网架构及无线资源管理研究”(2020YJ0218)。

摘　　要：为解决密集部署Wi-Fi网络中的同频干扰问题,提出了一种基于协同调度和频率复用思想的干扰协调方案。首先,通过接入点间协作,设计了一种基于接收信号强度指示(Received Signal Strength Indication,RSSI)的干扰识别策略;其次,以时延、业务量、传输能力为指标设计用户调度算法,并利用图染色算法对被调度的用户进行分组;最后,以系统吞吐量最大为优化目标,利用伏格尔法为用户分配带宽资源。仿真结果表明,所提出的方案在密集网络场景下能够有效减小同频干扰,提升系统的吞吐量和频谱效率。To address the problem of co-frequency interference in densely deployed Wi-Fi networks,an interference coordination scheme based on the idea of collaborative scheduling and frequency reuse is proposed.Firstly,through collaboration among access points,an RSSI-based interference identification strategy is proposed.Then,the user scheduling algorithm is designed based on the indicators of delay,traffic and transmission capacity,and the scheduled users are grouped by graph coloring algorithm.Finally,to optimize the system throughput,the Vogel algorithm is used to allocate bandwidth resources to users.Simulation results indicate that the proposed scheme can effectively reduce the co-channel interference and improve the throughput and spectral efficiency of the system in densely deployed network scenarios.

关 键 词：WI-FI网络 同频干扰 资源分配 分组 图着色 

分 类 号：TN929.5[电子电信—通信与信息系统]