DocumentCode
396043
Title
Convex optimization theory applied to joint beamforming design in multicarrier MIMO channels
Author
Palomar, Daniel Perez ; Cioffi, John M. ; Lagunas, Miguel Angel ; Iserte, Antonio Pascual
Author_Institution
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
Volume
4
fYear
2003
fDate
11-15 May 2003
Firstpage
2974
Abstract
This paper addresses the joint design of transmit and receive beamvectors for a multicarrier MIMO channel within the general and powerful framework of convex optimization theory. From this perspective, a great span of design criteria can be easily accommodated and efficiently solved even though closed-form expressions may not be available. Among other criteria, we consider the minimization of the average bit error rate (BER) and also of the maximum BER among all carriers for a given signal constellation. We show how to include additional constraints to control the peak-to-average ratio (PAR) in the system design.
Keywords
MIMO systems; antenna arrays; array signal processing; convex programming; error statistics; optimisation; receiving antennas; telecommunication channels; transmitting antennas; SINR; average BER; bit error rate; convex optimization theory; joint beamforming design; mean square error; multicarrier MIMO channels; multiple antennas; multiple input multiple output; peak-to-average ratio control; receive beamvectors; signal-to-interference-plus-noise ratio; transmit beamvectors; Array signal processing; Bit error rate; Constellation diagram; Control systems; Design optimization; Frequency; MIMO; Peak to average power ratio; Receiving antennas; Signal design;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN
0-7803-7802-4
Type
conf
DOI
10.1109/ICC.2003.1204611
Filename
1204611
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