Paper Info
Title
A distributed approach for antenna subset selection in MIMO systems
Abstract
In this paper a novel antenna subset selection algorithm is proposed using a distributed approach. It is assumed that each base station in a group of base stations is linked to an associated terminal as a receiver-transmitter pair. These receiver-transmitter pairs reuse channel resources, such that each mobile terminal represents a source of other-cell interference (also referred to as multi-user interference or MUI) for other mobile terminals in neighboring cells that are reusing all or some of the same channel resources. Accordingly, the base stations implement a gaming-based algorithm to mitigate MUI for the multiple-input-multiple-output (MIMO) uplink signals received from their associated mobile terminals. Simulation results show that the proposed algorithm has a good performance in terms of average error probability consisting of a solution concept based on Nash equilibrium (NE) points.
Year
DOI
Venue
2010
10.1109/ISWCS.2010.5624543
Wireless Communication Systems
Keywords
Field
DocType
MIMO communication,antenna arrays,distributed algorithms,error statistics,interference suppression,matrix algebra,MIMO systems,MIMO uplink signals,MUI mitigation,NE points,Nash equilibrium points,antenna subset selection algorithm,average error probability,base station,cell interference,channel resources,distributed approach,gaming-based algorithm,mobile terminal,multiple-input-multiple-output uplink signals,multiuser interference,receiver-transmitter pair
Base station,Computer science,Selection algorithm,Computer network,MIMO,Communication channel,Distributed algorithm,Interference (wave propagation),Bit error rate,Telecommunications link
Conference
ISSN
ISBN
Citations 
2154-0217
978-1-4244-6315-2
2
PageRank 
References 
Authors
0.41
10
2
Name
Order
Citations
PageRank
Igor M. Guerreiro183.62
Charles Casimiro Cavalcante24514.78