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
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;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2012.6503893