Title :
Low-complexity performance optimization for MIMO CDMA systems
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
A low-complexity approach is proposed for optimizing the performance of a multiple input multiple-output (MIMO) direct sequence code division multiple-access (DS-CDMA) system in the uplink for frequency selective fading channels. Each user transmits a weighted form of its symbols through its multiple antennas, and a receive antenna array at the base station is equipped with minimum mean square error (MMSE) receivers. We arrive at our system by attempting to find a suboptimal solution based on maximizing the multiuser signal-to-noise interference plus noise ratio (SINR) and minimizing the MMSE of the received signal simultaneously. This provides a noniterative solution for joint transmit beamformer weights of each user and coefficients of the corresponding receiver. In addition, a power control algorithm for suppressing interference is also derived. Numerical results reveal that significant system performance and capacity improvement over conventional approaches are possible.
Keywords :
MIMO systems; code division multiple access; fading channels; interference suppression; least mean squares methods; optimisation; power control; spread spectrum communication; DS-CDMA uplink; MIMO CDMA systems; MMSE receivers; SINR; base station receive antenna array; frequency selective fading channels; interference suppression; minimum mean square error receivers; multiple transmit antennas; multiuser signal-to-noise interference plus noise ratio; performance optimization; power control algorithm; symbol weighted form transmission; transmit beamformer weights; Antenna arrays; Base stations; Fading; Frequency conversion; MIMO; Multiaccess communication; Optimization; Receiving antennas; Signal to noise ratio; Transmitting antennas;
Conference_Titel :
Wireless Communications and Networking Conference, 2005 IEEE
Print_ISBN :
0-7803-8966-2
DOI :
10.1109/WCNC.2005.1424513