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

doi:10.1109/CCNC.2016.7444828

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 proceeding › Conference 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 language	English
Title of host publication	2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
Subtitle of host publication	Proceedings of a meeting held 9-12 January 2016, Las Vegas, NV, United States
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	487-490
Number of pages	4
ISBN (Electronic)	9781467392921
ISBN (Print)	9781467392938
DOIs	https://doi.org/10.1109/CCNC.2016.7444828
Publication status	Published - Jun 2016
Event	13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016 - Las Vegas, United States Duration: 6 Jan 2016 → 13 Jan 2016

Conference

Conference	13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
Country	United States
City	Las Vegas
Period	6/01/16 → 13/01/16

Keywords

802.11ax
load balancing
user association

Access to Document

10.1109/CCNC.2016.7444828

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7444828. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 311 KB

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Cao, F., Zhong, Z., Fan, Z., Sooriyabandara, M., Armour, S., & Ganesh, A. (2016). User association for load balancing with uneven user distribution in IEEE 802.11ax networks. In 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016: Proceedings of a meeting held 9-12 January 2016, Las Vegas, NV, United States (pp. 487-490). [7444828] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CCNC.2016.7444828

Cao, Fengming ; Zhong, Zhenzhe ; Fan, Zhong ; Sooriyabandara, Mahesh ; Armour, Simon ; Ganesh, Ayalvadi. / User association for load balancing with uneven user distribution in IEEE 802.11ax networks. 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016: Proceedings of a meeting held 9-12 January 2016, Las Vegas, NV, United States. Institute of Electrical and Electronics Engineers (IEEE), 2016. pp. 487-490

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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.",

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year = "2016",

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booktitle = "2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016",

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Cao, F, Zhong, Z, Fan, Z, Sooriyabandara, M, Armour, S & Ganesh, A 2016, User association for load balancing with uneven user distribution in IEEE 802.11ax networks. in 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016: Proceedings of a meeting held 9-12 January 2016, Las Vegas, NV, United States., 7444828, Institute of Electrical and Electronics Engineers (IEEE), pp. 487-490, 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016, Las Vegas, United States, 6/01/16. https://doi.org/10.1109/CCNC.2016.7444828

User association for load balancing with uneven user distribution in IEEE 802.11ax networks. / Cao, Fengming; Zhong, Zhenzhe; Fan, Zhong; Sooriyabandara, Mahesh; Armour, Simon ; Ganesh, Ayalvadi.

2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016: Proceedings of a meeting held 9-12 January 2016, Las Vegas, NV, United States. Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 487-490 7444828.

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

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AU - Cao, Fengming

AU - Zhong, Zhenzhe

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AU - Armour, Simon

AU - Ganesh, Ayalvadi

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AB - 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.

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Cao F, Zhong Z, Fan Z, Sooriyabandara M, Armour S , Ganesh A. User association for load balancing with uneven user distribution in IEEE 802.11ax networks. In 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016: Proceedings of a meeting held 9-12 January 2016, Las Vegas, NV, United States. Institute of Electrical and Electronics Engineers (IEEE). 2016. p. 487-490. 7444828 https://doi.org/10.1109/CCNC.2016.7444828

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

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