DocumentCode :
1749532
Title :
Maximum-SNR space-time designs for MIMO channels
Author :
Stoica, Petre ; Ganesan, Girish
Author_Institution :
Dept. of Syst. & Control, Uppsala Univ., Sweden
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
2425
Abstract :
We consider a communication scenario involving an m × n MIMO linear channel whose input is a symbol stream multiplied prior to transmission by an n x n space-time coding matrix X, and whose output is fed into an m × n linear combiner Z. We show how to choose the matrices X and Z to maximize the SNR of the linear combiner output data that are used for detection, under total power constraint (TPC), elemental power constraint (EPC), or total and elemental power constraint (TEPC). The TEPC design (considered here for the first time) is shown to include the TPC and EPC designs (previously considered by the authors) as special cases, and hence to provide a theoretically and practically interesting unifying framework. We make use of this framework to discuss various tradeoffs of the three space-time designs considered, such as transmission rate and requirements for channel status information at the transmission side
Keywords :
channel coding; constraint theory; matrix multiplication; optimisation; signal detection; MIMO linear channel; SNR maximization; channel status information; communication; detection; elemental power constraint; linear combiner; matrices; space-time coding matrix; symbol stream; total and elemental power constraint; total power constraint; transmission rate; Communication channels; Communication system control; Control systems; Detectors; Ear; Equations; Fading; Information technology; MIMO; Maximum likelihood detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.940490
Filename :
940490
Link To Document :
بازگشت