DocumentCode :
1479186
Title :
Feedback Reduction for CDI-Based Beamforming in the MIMO Broadcast Channel
Author :
Shi, Yan ; Jensen, Michael A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Volume :
15
Issue :
4
fYear :
2011
fDate :
4/1/2011 12:00:00 AM
Firstpage :
431
Lastpage :
433
Abstract :
Recent research has demonstrated that for the multi-antenna broadcast channel, applying transmit precoding based on the channel spatial covariance matrices leads to temporal stability of the achievable network sum rate. This approach allows reduction in the frequency of channel information feedback events at the expense of increased feedback complexity. While recent work has demonstrated the possibility of feedback complexity reduction through matrix decompositions, this paper demonstrates significant additional feedback reduction through compression of the covariance matrices using the Karhunen-Loève Transform.
Keywords :
Karhunen-Loeve transforms; MIMO communication; array signal processing; broadcast channels; covariance matrices; CDI-based beamforming; Karhunen-Loeve Transform; MIMO broadcast channel; channel distribution information feedback; channel spatial covariance matrices; feedback complexity; feedback reduction; multiantenna broadcast channel; Array signal processing; Complexity theory; Covariance matrix; Eigenvalues and eigenfunctions; MIMO; Throughput; Transforms; MIMO systems; broadcast channels; feedback communication;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2011.030911.101861
Filename :
5738299
Link To Document :
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