Title
Adaptation with reduced-size message pass to precoder selection in multi-cell MIMO systems
Abstract
This paper addresses the optimization of a multicell network where each cell needs to select precoding matrices for beamforming in a distributed way. A modified version of the adaptive min-sum algorithm that considers reduced-size messages in the message-passing procedure is proposed. The message-passing technique, where each message is reduced to convey only part of usual information, is applied to maximize the system throughput leading to a faster adaptation procedure. Simulation results show this reduction leads to a small average performance loss in system throughput of approximately 6%, while generally reduces the message size in about 73%. Also, the proposed method still outperforms the baseline greedy technique.
Year
DOI
Venue
2016
10.1109/SAM.2016.7569689
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Keywords
Field
DocType
reduced-size message passing,precoder selection matrices,multicell MIMO systems,distributed beamforming,adaptive min-sum algorithm,baseline greedy technique
Beamforming,Mimo systems,Mathematical optimization,3G MIMO,Computer science,Matrix (mathematics),Algorithm,MIMO,Real-time computing,Throughput,Precoding,Message size
Conference
ISBN
Citations 
PageRank 
978-1-5090-2104-8
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Igor M. Guerreiro183.62
Charles Casimiro Cavalcante24514.78
Dennis Hui3429.38