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
Link To Document :
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