Title :
Per-antenna power constrained MIMO transceivers optimized for BER
Author :
Weng, Ching-Chih ; Vaidyanathan, P.P.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
Abstract :
This paper considers the linear transceiver optimization problem for multi-carrier multiple-input multiple-output (MIMO) channels with per-antenna power constraints. Because in practical implementations each antenna is limited individually by its equipped power amplifier, this paper adopts the more realistic per-antenna power constraints, in contrast to the conventional sum-power constraint on the transmitter antennas. Assuming perfect channel knowledge both at the transmitter and the receiver, the optimization problem can be transformed into a semi-definite program (SDP), which can be solved by convex optimization tools. Furthermore, several objective functions of the MIMO system, including average bit error rate, can also be optimized by the introduction of the majorization theory.
Keywords :
MIMO communication; convex programming; error statistics; power amplifiers; telecommunication channels; transceivers; transmitting antennas; BER; MIMO system; conventional sum-power constraint; convex optimization tool; linear transceiver optimization problem; majorization theory; multicarrier multiple-input multiple-output channel; per-antenna power constraint; power amplifier; semidefinite program; transmitter antenna; Bit error rate; Communication systems; Constraint optimization; Decision feedback equalizers; MIMO; Power amplifiers; Receiving antennas; Transceivers; Transmitters; Transmitting antennas; BER Optimization; MIMO Transceivers; Per-antenna Constraints; Schur Convexity; Semi-definite Programming;
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2008.5074628