基于改进遗传算法的多AP联合传输方案研究

doi:10.11959/j.issn.2096-3750.2023.00346

Abstract

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.

Key words: dense Wi-Fi network, BSS-edge user, multi-AP coordination, joint transmission, IGA

CLC Number:

TN929.5

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.

Figures/Tables 9

References 30

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参数	取值
带宽	80 MHz
AP工作频率	5.8 GHz
AP发射功率	24 dBm
AP数量	5
AP天线数量	8
STA数量	10～50
STA天线数量	1
AP间距	16 m
噪声功率谱密度	-174 dBm/Hz
Wi-Fi组网半径	10 m
Break Point距离	10 m
空间流Nss	1
种群大小	100
交叉概率ε	[0.25,0.6]
变异概率γ	[0, 0.1]
适应度标准差σ_f	[0,1]
迭代次数阈值T	10

Research on multi-AP joint transmission scheme based on improved genetic algorithm

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References 30

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