Client selection for coordinated IEEE 802.11ac multi-user MIMO-enabled access points

Seongyong Jeong; Heejun Roh; Wonjun Lee

doi:10.1109/ICTC.2015.7354607

Client selection for coordinated IEEE 802.11ac multi-user MIMO-enabled access points

Seongyong Jeong, Heejun Roh, Wonjun Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Although downlink multi-user MIMO (MU-MIMO) technology is included in the IEEE 802.11ac Standard, multi-cell interference in IEEE 802.11ac MU-MIMO networks degrades expected performance gain from the technology due to unplanned deployment of access points. To this end, recent research efforts envision that a central controller coordinates a set of APs to alleviate the multi-cell interference. However, to fully exploit the benefits of the coordinated access points with MU-MIMO, it is essential that clients should be carefully selected to maximize aggregate throughput. While an exhaustive search gives the optimal solution, its computationally infeasibility in large size networks requires another solution. Therefore, in this paper, we formulate a client selection problem for coordinated access points and suggest a polynomial time algorithm. Evaluation results show that our algorithm achieves about 98 % of the optimal aggregate throughput with a moderate computational overhead.

Original language	English
Title of host publication	International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	548-553
Number of pages	6
ISBN (Print)	9781467371155
DOIs	https://doi.org/10.1109/ICTC.2015.7354607
Publication status	Published - 2015 Dec 11
Event	6th International Conference on Information and Communication Technology Convergence, ICTC 2015 - Jeju Island, Korea, Republic of Duration: 2015 Oct 28 → 2015 Oct 30

Other

Other	6th International Conference on Information and Communication Technology Convergence, ICTC 2015
Country/Territory	Korea, Republic of
City	Jeju Island
Period	15/10/28 → 15/10/30

Keywords

Coordinated access points
Multi-user MIMO
The Hungarian algorithm

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICTC.2015.7354607

Cite this

Client selection for coordinated IEEE 802.11ac multi-user MIMO-enabled access points. / Jeong, Seongyong; Roh, Heejun; Lee, Wonjun.
International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 548-553 7354607.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jeong, S, Roh, H & Lee, W 2015, Client selection for coordinated IEEE 802.11ac multi-user MIMO-enabled access points. in International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015., 7354607, Institute of Electrical and Electronics Engineers Inc., pp. 548-553, 6th International Conference on Information and Communication Technology Convergence, ICTC 2015, Jeju Island, Korea, Republic of, 15/10/28. https://doi.org/10.1109/ICTC.2015.7354607

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AB - Although downlink multi-user MIMO (MU-MIMO) technology is included in the IEEE 802.11ac Standard, multi-cell interference in IEEE 802.11ac MU-MIMO networks degrades expected performance gain from the technology due to unplanned deployment of access points. To this end, recent research efforts envision that a central controller coordinates a set of APs to alleviate the multi-cell interference. However, to fully exploit the benefits of the coordinated access points with MU-MIMO, it is essential that clients should be carefully selected to maximize aggregate throughput. While an exhaustive search gives the optimal solution, its computationally infeasibility in large size networks requires another solution. Therefore, in this paper, we formulate a client selection problem for coordinated access points and suggest a polynomial time algorithm. Evaluation results show that our algorithm achieves about 98 % of the optimal aggregate throughput with a moderate computational overhead.

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Client selection for coordinated IEEE 802.11ac multi-user MIMO-enabled access points

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