User association for load balancing with uneven user distribution in IEEE 802.11ax networks

Fengming Cao, Zhenzhe Zhong, Zhong Fan, Mahesh Sooriyabandara, Simon Armour, Ayalvadi Ganesh

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

8 Citations (Scopus)
293 Downloads (Pure)

Abstract

This paper proposes a dynamic user association method to address the load balancing problem in dense IEEE 802.11ax networks with uneven user distribution, where a user determines which AP to connect to taking into consideration of multiple factors such as RSS, potential relative capacity, achievable data rate and location of users. The method is user-centric and does not incur much signaling overhead, while performance optimization can be achieved without inter-AP coordination. Simulation results have been presented to show that the proposed solution can improve load balancing and have higher average throughput for 10% worst users as well as maintain the maximal total system throughput. Our evaluation also suggests that the location-awareness of users considered in the proposed solution plays an important role to improve the performance.

Original languageEnglish
Title of host publication2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
Subtitle of host publicationProceedings of a meeting held 9-12 January 2016, Las Vegas, NV, United States
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages487-490
Number of pages4
ISBN (Electronic)9781467392921
ISBN (Print)9781467392938
DOIs
Publication statusPublished - Jun 2016
Event13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016 - Las Vegas, United States
Duration: 6 Jan 201613 Jan 2016

Conference

Conference13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
CountryUnited States
CityLas Vegas
Period6/01/1613/01/16

Keywords

  • 802.11ax
  • load balancing
  • user association

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