QoS-Aware Load Balancing Scheme in Dense Wi-Fi 6 WLANs

Elif Ak*, Berk Canberk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Nowadays, increasing mobile and wireless usage demand accelerates new enhancements on IEEE 802.11 family to provide concurrent transmission and high efficiency. Thus, IEEE 802.11ax is released with the aim to improve overall throughput in dense WLANs considering the overlapping channel interference. However, the current WLANs suffer from uneven load distribution among the Access Points (AP). Because a station simply connects to the AP with the highest received signal strength indication (RSSI) in a legacy association way. And RSSI might not be the only criteria in the current WLANs due to the variety of application requirements and high date rates. Therefore, we propose a complete association scheme called Access Controller (AC) to manage admission, association, and adaptive carrier sensitivity control as a whole. The station from an overloaded AP is handed to a less loaded AP by considering various crucial metrics such as packet delivery ratio, fairness, RSSI, throughput, and round trip time. After effective load balancing, we adaptively tune the carrier sensitivity threshold to enhance concurrent transmission in IEEE 802.11ax WLANs. The results show that the proposed AC scheme outperforms in terms of fairness and per-station throughput in dense WiFi6 scenarios with over 500 stations.

Original languageEnglish
Title of host publicationIndustrial Networks and Intelligent Systems - 8th EAI International Conference, INISCOM 2022, Proceedings
EditorsNguyen-Son Vo, Quoc-Tuan Vien, Dac-Binh Ha
PublisherSpringer Science and Business Media Deutschland GmbH
Pages33-47
Number of pages15
ISBN (Print)9783031088773
DOIs
Publication statusPublished - 2022
Event8th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2022 - Virtual, Online
Duration: 21 Apr 202222 Apr 2022

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume444 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference8th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2022
CityVirtual, Online
Period21/04/2222/04/22

Bibliographical note

Publisher Copyright:
© 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Keywords

  • Dense WLANs
  • IEEE 802.11ax
  • Load balancing
  • QoS

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