Title :
A low-complexity adaptive bit and power allocation algorithm for MIMO-OFDM systems
Author :
Gao, Long ; Luo, Zhendong ; Tang, Bihua ; Liu, Yuanan ; Gao, Jinchun
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
Abstract :
In this paper, we present a low-complexity adaptive bit and power allocation algorithm for MIMO-OFDM systems. The MIMO-OFDM channel can be decomposed into a group of parallel subchannels by singular value decomposition (SVD) [Branka and Vucetic, 2003]. To minimize the overall transmit power, we carry out a fixed bit and power allocation over these subchannels by exploring the characteristics of the ordered subchannel gains. The fixed bit and power assignment can be determined by greedy algorithm at the initial stage and utilized without change throughout the data transmission process. Simulation results show that the proposed algorithm has less than 1 dB performance loss relative to the optimal algorithm when the number of OFDM subcarriers is large, but drastically reduces the complexity.
Keywords :
MIMO systems; OFDM modulation; channel allocation; computational complexity; greedy algorithms; singular value decomposition; MIMO-OFDM systems; data transmission process; greedy algorithm; low-complexity adaptive bit allocation algorithm; low-complexity adaptive power allocation algorithm; power assignment; singular value decomposition; Adaptive algorithm; Covariance matrix; Data communication; Greedy algorithms; MIMO; OFDM; Power system modeling; Receiving antennas; Singular value decomposition; Transmitters;
Conference_Titel :
Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9538-7
DOI :
10.1109/ISCIT.2005.1566917
