Distributed link clustering for clustered cooperative MIMO

Chang Kyung Sung, Jian A. Zhang, Zhuo Chen, Iain B. Collings

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

Abstract

In the cooperative multiple-input/multiple-output (MIMO), multiple access point (AP)-user links form a cluster to increase achievable throughput by cooperatively mitigating inter-user interference within the cluster. In this paper, we propose a clustered cooperative MIMO endowing a constraint on the cluster size such that the clustered MIMO can be implemented as a distributed version of downlink multiuser MIMO in existing standards with minimal modifications. New greedy algorithm and coalition formation algorithm are proposed using matching theory for establishing clusters and allocating frequencies. Simulation results shows that the proposed algorithms achieve almost 20% higher throughput than the fixed cell planning scheme, with very low searching complexity.

Original languageEnglish
Title of host publication2014 IEEE 79th Vehicular Technology Conference (VTC Spring)
Place of PublicationPicataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781479944828
ISBN (Print)9781479944811
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE 79th Vehicular Technology Conference (VTC Spring) - Seoul, Korea, Republic of
Duration: 18 May 201421 May 2014
Conference number: 79

Conference

Conference2014 IEEE 79th Vehicular Technology Conference (VTC Spring)
Abbreviated titleVTC2014-Spring
CountryKorea, Republic of
CitySeoul
Period18/05/1421/05/14

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Sung, C. K., Zhang, J. A., Chen, Z., & Collings, I. B. (2014). Distributed link clustering for clustered cooperative MIMO. In 2014 IEEE 79th Vehicular Technology Conference (VTC Spring) Picataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/VTCSpring.2014.7022885