DocumentCode
3520194
Title
Transceiver design with vector perturbation technique and iterative power loading
Author
Weng, Ching-Chih ; Vaidyanathan, P.P.
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
fYear
2009
fDate
19-24 April 2009
Firstpage
2297
Lastpage
2300
Abstract
In this paper we consider the optimization of transceivers which use the nonlinear vector perturbation technique at the transmitter. Since the perturbation vector can be almost totally removed at the receiver, the transmitter can use this extra freedom to reduce the transmitted power while maintaining the performance. The two cases considered in this paper are linear transceivers and transceivers with decision feedback (DFE). For both cases, efficient iterative power loading algorithms are developed to reduce the average bit error rate under the total transmitted power constraint. We present simulation results showing that the proposed technique performs better than the existing state-of-the-art uniform channel decomposition (UCD) system and the vector perturbation (VP) precoder.
Keywords
MIMO communication; decision feedback equalisers; error statistics; iterative methods; least squares approximations; optimisation; transceivers; bit error rate; decision feedback; iterative power loading; linear transceivers; nonlinear vector perturbation technique; perturbation vector; transceiver design; uniform channel decomposition; vector perturbation precoder; Bit error rate; Decision feedback equalizers; Design optimization; Iterative algorithms; Least squares methods; MIMO; Perturbation methods; Transceivers; Transmitters; Vectors; BER Optimization; Decision Feed-Back; Integer Least Square Problem; MIMO Transceiver; Vector Perturbation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location
Taipei
ISSN
1520-6149
Print_ISBN
978-1-4244-2353-8
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2009.4960079
Filename
4960079
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