DocumentCode :
2305342
Title :
Rate maximization in multi-antenna broadcast channels with linear preprocessing
Author :
Stojnic, Mihailo ; Vikalo, Haris ; Hassibi, Babak
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume :
6
fYear :
2004
fDate :
29 Nov.-3 Dec. 2004
Firstpage :
3957
Abstract :
The sum rate capacity of the multi-antenna broadcast channel has recently been computed. However, the search for efficient practical schemes that achieve it is still ongoing. In this paper, we focus on schemes with linear preprocessing of the transmitted data. We propose two criteria for precoding matrix design, one maximizing the sum rate and the other maximizing the minimum rate among all users. The latter problem is shown to be quasiconvex and is solved exactly via the bisection method. In addition to precoding, we employ a signal scaling scheme that minimizes average bit-error-rate (BER). The signal scaling scheme is posed as a convex optimization problem, and thus can be solved exactly via efficient interior-point methods. In terms of achievable sum rate, the proposed technique significantly outperforms traditional channel inversion methods, while having comparable (in fact, often superior) BER performance.
Keywords :
MIMO systems; array signal processing; broadcast channels; convex programming; error statistics; minimax techniques; mobile radio; transmitting antennas; BER performance; average bit-error-rate; bisection method; convex optimization; interior-point methods; linear preprocessing; minimum rate maximization; multi-antenna broadcast channel; multi-antenna broadcast channels; precoding matrix design; quasiconvex problem; rate maximization; signal scaling; sum rate capacity; Bit error rate; Broadcast technology; Broadcasting; Data preprocessing; Fading; Optimization methods; Random variables; Transmitters; Transmitting antennas; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
Type :
conf
DOI :
10.1109/GLOCOM.2004.1379110
Filename :
1379110
Link To Document :
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