Title :
Max-Min Fair Pre-DFT Combining for OFDM Systems With Multiple Receive Antennas
Author_Institution :
Grad. Inst. of Commun. Eng., Nat. Chi Nan Univ., Puli
fDate :
5/1/2009 12:00:00 AM
Abstract :
For orthogonal frequency-division multiplexing (OFDM) systems equipped with multiple receive antennas, conventional pre-discrete Fourier transform (DFT) combining cannot balance the signal-to-noise ratio (SNR) performance of all subcarriers. This degrades the whole system performance. In this paper, we propose the use of the max-min fair criterion for pre-DFT combining to solve the problem. Semidefinite relaxation (SDR) is employed to approximate the solution. We also present a simple way to effectively reduce the amount of computation without sacrificing much of the performance. Simulation results show that, for both uncoded and coded OFDM systems, the proposed max-min fair pre-DFT combining solved via SDR can outperform conventional pre-DFT combining under various multipath channel environments with affordable computational complexity.
Keywords :
OFDM modulation; codes; computational complexity; discrete Fourier transforms; receiving antennas; OFDM systems; coded OFDM; computational complexity; max-min fair criterion; multipath channel environments; multiple receive antennas; prediscrete Fourier transform combining; semideflnite relaxation; signal-to-noise ratio; subcarriers; uncoded OFDM; Orthogonal frequency-division multiplexing (OFDM); pre-discrete Fourier transform (DFT) combining; semidefinite programming; semidefinite relaxation (SDR);
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2008.2003445