SIEVE: Scalable user grouping for large MU-MIMO systems

Wei Liang Shen, Ching-Ju Lin, Ming Syan Chen, Kun Tan

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

34 Scopus citations

Abstract

Multi-user multiple input and multiple output (MU-MIMO) is one predominate approach to improve the wireless capacity. However, since the aggregate capacity of MU-MIMO heavily depends on the channel correlations among the mobile users in a beamforming group, unwisely selecting beamforming groups may result in reduced overall capacity, instead of increasing it. How to select users into a beamforming group becomes the bottleneck of realizing the MU-MIMO gain. The fundamental challenge for user selection is the large searching space, and hence there exists a tradeoff between search complexity and achievable capacity. Previous works have proposed several low complexity heuristic algorithms, but they suffer a significant capacity loss. In this paper, we present a novel MU-MIMO MAC, called SIEVE. The core of SIEVE design is its scalable multi-user selection module that provides a knob to control the aggressiveness in searching the best beamforming group. SIEVE maintains a central database to track the channel and the coherence time for each mobile user, and largely avoids unnecessary computing with a progressive update strategy. Our evaluation, via both small-scale testbed experiments and large-scale trace-driven simulations, shows that SIEVE can achieve around 90% of the capacity compared to exhaustive search.

Original languageEnglish
Title of host publication2015 IEEE Conference on Computer Communications, IEEE INFOCOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1975-1983
Number of pages9
ISBN (Electronic)9781479983810
DOIs
StatePublished - 21 Aug 2015
Event34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015 - Hong Kong, Hong Kong
Duration: 26 Apr 20151 May 2015

Publication series

NameProceedings - IEEE INFOCOM
Volume26
ISSN (Print)0743-166X

Conference

Conference34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015
CountryHong Kong
CityHong Kong
Period26/04/151/05/15

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    Shen, W. L., Lin, C-J., Chen, M. S., & Tan, K. (2015). SIEVE: Scalable user grouping for large MU-MIMO systems. In 2015 IEEE Conference on Computer Communications, IEEE INFOCOM 2015 (pp. 1975-1983). [7218581] (Proceedings - IEEE INFOCOM; Vol. 26). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOM.2015.7218581