DocumentCode :
1099424
Title :
Optimizing Zero-Forcing Precoders for MIMO Broadcast Systems
Author :
Udupa, Prashant S. ; Lehnert, James S.
Author_Institution :
Purdue Univ., West Lafayette
Volume :
55
Issue :
8
fYear :
2007
Firstpage :
1516
Lastpage :
1524
Abstract :
In this paper, we develop optimization techniques for linear zero-forcing (ZF) multiple-input, multiple-output (MIMO) broadcast (BC) precoders. A computationally efficient technique based on QR-update algorithms for implementing this optimization is then proposed. The application of the proposed ZF precoders and decoders to systems with both large and small numbers of users is considered. The proposed optimization technique is also shown to perform very well in conjunction with nonlinear Tomlinson--Harashima precoding. Both coded and uncoded performances are considered.
Keywords :
MIMO communication; broadcasting; linear codes; nonlinear codes; optimisation; precoding; MIMO broadcast systems; QR-update algorithms; computationally efficient technique; linear zero-forcing; multiple-input multiple-output; nonlinear Tomlinson-Harashima precoding; optimization techniques; zero-forcing precoders; Base stations; Broadcasting; Context; Decoding; Diversity methods; Downlink; MIMO; Receiving antennas; Transmitters; Transmitting antennas; Broadcast channels; MIMO systems;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2007.902538
Filename :
4291838
Link To Document :
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