Client-AP association for multiuser MIMO networks

Yu Cheng Hsu, Ching-Ju Lin, Wen Tsuen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In a Wireless Local Area Network (WLAN), clients typically associate with the AP that offers the maximal signal strength. Later works on client-AP association then further take load balancing and fairness into consideration. Those schemes however are not directly applicable in a multiuser MIMO (MU-MIMO) WLAN since different combinations of clients result in different throughput of each individual client. Therefore, in this paper, we present a client-AP association algorithm customized for MU-MIMO WLANs. The proposed algorithm jointly solves the problems of client-AP association and MU-MIMO client grouping with consideration of channel correlation among clients. It hence allows a good group of clients, i.e., those with low channel correlation, to together associate with the same proper AP and achieve a high sum-rate. The simulation results show that our MU-MIMO AP association algorithm improves the aggregate throughput by about 11%-28% and 26%-45%, as compared to two common association approaches, i.e., RSSI-based and load-based schemes, respectively.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communications, ICC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2154-2159
Number of pages6
ISBN (Electronic)9781467364324
DOIs
StatePublished - 9 Sep 2015
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

NameIEEE International Conference on Communications
Volume2015-September
ISSN (Print)1550-3607

Conference

ConferenceIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period8/06/1512/06/15

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  • Cite this

    Hsu, Y. C., Lin, C-J., & Chen, W. T. (2015). Client-AP association for multiuser MIMO networks. In 2015 IEEE International Conference on Communications, ICC 2015 (pp. 2154-2159). [7248644] (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7248644