Title :
Near-optimal joint selection of transmit and receive antennas for MIMO systems
Author :
Naeem, M. ; Lee, D.C.
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
In this paper, we present a real-time low-complexity joint transmit and receive antenna selection algorithm for MIMO systems. We apply ant colony optimization (ACO) to the joint antenna selection problem. The computational complexity of exhaustive search in this problem grows exponentially with the number of transmit and receive antennas. The proposed ACO for joint antenna selection has a low computational complexity, and its effectiveness is verified through simulation results.
Keywords :
MIMO communication; communication complexity; optimisation; receiving antennas; transmitting antennas; ACO; MIMO system; ant colony optimization; computational complexity; near-optimal joint selection; receive antenna selection algorithm; transmit antenna; Ant colony optimization; Channel capacity; Computational complexity; Computational modeling; MIMO; Radio frequency; Receiving antennas; Transmitters; Transmitting antennas; Wireless communication; Ant Colony Optimization; Joint antenna selection; MIMO; wireless communication;
Conference_Titel :
Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on
Conference_Location :
Icheon
Print_ISBN :
978-1-4244-4521-9
Electronic_ISBN :
978-1-4244-4522-6
DOI :
10.1109/ISCIT.2009.5341182