DocumentCode :
2694197
Title :
A Near-Optimum Technique using Linear Precoding for the MIMO Broadcast Channel
Author :
Boccardi, Federico ; Huang, Heng
Volume :
3
fYear :
2007
fDate :
15-20 April 2007
Abstract :
We consider the MIMO broadcast channel (MIMO-BC) where an array equipped with M antennas transmits distinct information to K users, each equipped with N antennas. We propose a linear precoding technique, called multiuser eigenmode transmission (MET), based on the block diagonalization precoding technique. MET addresses the shortcomings of previous ZF-based beamformers by transmitting to each user on one or more eigenmodes chosen using a greedy algorithm. We consider both the typical sum-power constraint (SPC), and a per-antenna power constraint (PAPC) motivated by array architectures where antennas are powered by separate amplifiers and are either co-located or spatially separated. Numerical results show that the proposed MET technique outperforms previous linear techniques with both SPC and PAPC. Asymptotically as the number of user K increases without bound, we show that block diagonalization with receive antenna selection under PAPC and SPC are asymptotically optimal.
Keywords :
MIMO communication; antenna arrays; broadcast channels; greedy algorithms; precoding; wireless channels; MIMO broadcast channel; ZF-based beamformers; antenna array; block diagonalization precoding technique; greedy algorithm; linear precoding; multiuser eigenmode transmission; near-optimum technique; per-antenna power constraint; sum-power constraint; Array signal processing; Broadcasting; Greedy algorithms; Linear antenna arrays; MIMO; Power amplifiers; Proposals; Receiving antennas; Transmitters; Transmitting antennas; Array signal processing; MIMO systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366461
Filename :
4217635
Link To Document :
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