Distributed link clustering for clustered cooperative MIMO

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

doi:10.1109/VTCSpring.2014.7022885

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 proceeding › Conference 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 language	English
Title of host publication	2014 IEEE 79th Vehicular Technology Conference (VTC Spring)
Place of Publication	Picataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	9781479944828
ISBN (Print)	9781479944811
DOIs	https://doi.org/10.1109/VTCSpring.2014.7022885
Publication status	Published - 2014
Externally published	Yes
Event	2014 IEEE 79th Vehicular Technology Conference (VTC Spring) - Seoul, Korea, Republic of Duration: 18 May 2014 → 21 May 2014 Conference number: 79

Conference

Conference	2014 IEEE 79th Vehicular Technology Conference (VTC Spring)
Abbreviated title	VTC2014-Spring
Country	Korea, Republic of
City	Seoul
Period	18/05/14 → 21/05/14

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Cite this

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

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title = "Distributed link clustering for clustered cooperative MIMO",

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.",

author = "Sung, {Chang Kyung} and Zhang, {Jian A.} and Zhuo Chen and Collings, {Iain B.}",

year = "2014",

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language = "English",

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Sung, CK, Zhang, JA, Chen, Z & Collings, IB 2014, Distributed link clustering for clustered cooperative MIMO. in 2014 IEEE 79th Vehicular Technology Conference (VTC Spring). Institute of Electrical and Electronics Engineers (IEEE), Picataway, NJ, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring) , Seoul, Korea, Republic of, 18/05/14. https://doi.org/10.1109/VTCSpring.2014.7022885

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T1 - Distributed link clustering for clustered cooperative MIMO

AU - Sung, Chang Kyung

AU - Zhang, Jian A.

AU - Chen, Zhuo

AU - Collings, Iain B.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

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U2 - 10.1109/VTCSpring.2014.7022885

DO - 10.1109/VTCSpring.2014.7022885

M3 - Conference proceeding contribution

SN - 9781479944811

BT - 2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Access to Document

10.1109/VTCSpring.2014.7022885

Link to publication in Scopus