Title
Asymptotic analysis of downlink multi-cell systems with partial CSIT
Abstract
We analyze the downlink of multiple input multiple output (MIMO) multicell systems in the presence of intercell interference (ICI), under different transmit channel state information (CSI) assumptions. We assume, for the first scenario, that the Base Stations (BSs) have only the statistical CSI of all the channels. For the second scenario, we assume that the BSs have perfect CSI of their User Terminals(UTs) but only the statistical CSI of channels of the interfering BSs. We consider the following receiver structures at the UTs a) Optimal Decoding b) Minimum Mean Square (MMSE) receiver. We derive analytical expressions to compute the optimal number of streams each BS must use in order to maximize the total spectral efficiency of the system. We perform our analysis in the large dimensional regime (assuming the number of antennas on the BSs and UTs approaching infinity, at the same rate) using results from random matrix theory (RMT). However, the asymptotic results provide close approximation in the finite dimensional scenario. Remarkably, in the asymptotic regime, the optimization parameters depend only on the channel statistics and not on the instantaneous CSI, thus enabling a decentralized resource allocation policy in a multicell scenario. Our results show that in an interference limited regime, it is optimal for the BSs to use only a small subset of its streams to maximize the total spectral efficiency of the system.
Year
DOI
Venue
2011
10.1109/ISIT.2011.6033749
Information Theory Proceedings
Keywords
Field
DocType
MIMO communication,cellular radio,decoding,least mean squares methods,matrix algebra,optimisation,radio receivers,radiofrequency interference,resource allocation,MIMO systems,MMSE,asymptotic analysis,base stations,channel statistics,decentralized resource allocation policy,downlink multicell systems,finite dimensional scenario,intercell interference,minimum mean square receiver,multiple input multiple output systems,optimal decoding,optimization parameters,partial transmitter channel state information,random matrix theory,receiver structures,statistical CSI,total spectral efficiency,user terminals
Discrete mathematics,Topology,Mathematical optimization,Computer science,Communication channel,MIMO,Spectral efficiency,Interference (wave propagation),Decoding methods,Asymptotic analysis,Channel state information,Telecommunications link
Conference
ISSN
ISBN
Citations 
2157-8095 E-ISBN : 978-1-4577-0594-6
978-1-4577-0594-6
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Subhash Lakshminarayana100.34
Merouane Debbah265034.40
Mohamad Assaad310.70