DocumentCode
1343097
Title
Linear Precoding in Cooperative MIMO Cellular Networks with Limited Coordination Clusters
Author
Ng, Chris T K ; Huang, Howard
Author_Institution
Bell Labs., Alcatel-Lucent, Holmdel, NJ, USA
Volume
28
Issue
9
fYear
2010
fDate
12/1/2010 12:00:00 AM
Firstpage
1446
Lastpage
1454
Abstract
In a cooperative multiple-antenna downlink cellular network, maximization of a concave function of user rates is considered. A new linear precoding technique called soft interference nulling (SIN) is proposed, which performs at least as well as zero-forcing (ZF) beamforming. All base stations share channel state information, but each user´s message is only routed to those that participate in the user´s coordination cluster. SIN precoding is particularly useful when clusters of limited sizes overlap in the network, in which case traditional techniques such as dirty paper coding or ZF do not directly apply. The SIN precoder is computed by solving a sequence of convex optimization problems. SIN under partial network coordination can outperform ZF under full network coordination at moderate SNRs. Under overlapping coordination clusters, SIN precoding achieves considerably higher throughput compared to myopic ZF, especially when the clusters are large.
Keywords
MIMO communication; antenna arrays; array signal processing; cellular radio; convex programming; interference suppression; linear codes; precoding; wireless channels; SIN precoding; base station; channel state information; concave function maximization; convex optimization; cooperative MIMO cellular networks; limited coordination cluster; linear precoding; multiple-antenna downlink cellular network; soft interference nulling; zero-forcing beamforming; Base stations; Covariance matrix; Downlink; Interference; MIMO; Optimization; Silicon compounds; Cellular network; convex optimization; cooperation; interference mitigation; linear precoding; multiple-antenna;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/JSAC.2010.101206
Filename
5594709
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