DocumentCode
2525240
Title
Multiuser Pairing in Uplink CoMP MU-MIMO Systems Using Particle Swarm Optimization
Author
Wang, Chao ; Cui, Qimei ; Li, Shiyuan ; Tao, Xiaofeng ; Xu, Xiaodong
Author_Institution
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2011
fDate
5-8 Sept. 2011
Firstpage
1
Lastpage
5
Abstract
Multi-User Multiple Input Multiple Output (MU- MIMO) technique is introduced into 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) to enhance the system capacity and spectrum efficiency. On the other hand, Coordinated Multi-Point transmission and reception (CoMP) technique which can reduce inter-cell interference (ICI) significantly, has been adopted in LTE-Advanced as one of the promising techniques to increase the throughput of the cell edge user. However, some new problems appear with the promotion of MU-MIMO technique in the CoMP scenario. Considering the necessity that an enhanced algorithm should be proposed to fit the CoMP scenario, this paper presents a novel capacity maximization criterion for multiuser pairing strategy based on particle swarm optimization algorithm for CoMP MU-MIMO in uplink LTE-A system. Under this criterion, this paper gives two kinds of receivers which are zero forcing (ZF) equalizer and minimum mean square error (MMSE) equalizer in the frequency-domain. Simulation results show that the proposed PSO strategy achieves nearly the same performance to the exhaustive search (ES) algorithm in terms of capacity performance, but with lower complexity.
Keywords
3G mobile communication; MIMO communication; channel capacity; equalisers; frequency-domain analysis; intercarrier interference; interference suppression; least mean squares methods; multiuser channels; particle swarm optimisation; 3rd generation partnership project; LTE-Advanced; Long Term Evolution; MIMO system; MMSE equalizer; PSO; capacity maximization criterion; cell edge user; coordinated multipoint reception; coordinated multipoint transmission; exhaustive search algorithm; frequency-domain analysis; intercell interference suppression; minimum mean square error; multiple input multiple output; multiuser pairing strategy; particle swarm optimization; spectrum efficiency; system capacity; uplink CoMP MU; zero forcing equalizer; Equalizers; Interference; MIMO; Particle swarm optimization; Receivers; Signal to noise ratio; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location
San Francisco, CA
ISSN
1090-3038
Print_ISBN
978-1-4244-8328-0
Type
conf
DOI
10.1109/VETECF.2011.6093174
Filename
6093174
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