DocumentCode
1987391
Title
Coordinated multi-point transmission of MIMO-OFDM system with per-antenna power constraints
Author
Chih-yu Hsu ; Krongold, B.S.
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
4886
Lastpage
4892
Abstract
This paper describes an efficient approach to discrete rate and power allocation for MIMO-OFDM systems with individual power-constrained antennas. The system is configured with multiple base stations, each with a single transmit antenna, for coordinated multi-point transmissions. The traditional OFDM loading problem can be extended to the MIMO-OFDM case provided that the channel state information between all transmit and receive antennas is known. However, due to unequidistant between coordinated base stations and user terminal, a perantenna average power constraint is more practical than a total average power constraint in order to keep each antenna peak power manageable to avoid low power efficiency of the power amplifier in each antenna. The replacement of the per-antenna power constraint results in a more complex loading optimization problem, and we show it can still be solved efficiently using the dual Lagrange decomposition method. A multidimensional Lagrange search is needed to find the optimal solution and is accomplished via the Ellipsoid Method and the Analytical Center Cutting-Plane Method.
Keywords
MIMO communication; OFDM modulation; channel allocation; optimisation; receiving antennas; search problems; transmitting antennas; MIMO; OFDM loading problem; analytical center cutting plane method; base station; channel state information; complex loading optimization problem; coordinated multipoint transmission; discrete rate; dual Lagrange decomposition method; ellipsoid method; multidimensional Lagrange search; peak power management; perantenna power constraint; power allocation; power constraint antenna; receiving antenna; transmitting antenna;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503893
Filename
6503893
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