A Genetic Algorithm-based Antenna Selection Approach for Large-but-Finite MIMO Networks
Journal article, 2017
We study the performance of antenna selection-based multiple-input-multiple-output networks with large-but-finite number of transmit antennas and receivers. Considering the continuous and bursty communication scenarios with different users' data request probabilities, we develop an efficient antenna selection scheme using genetic algorithms (GAs).As demonstrated, the proposed algorithm is generic in the sense that it can be used in the cases with different objective functions, precoding methods, levels of available channel state information, and channel models. Our results show that the proposed GA-based algorithm reaches (almost) the same throughput as the exhaustive search-based optimal approach, with substantially less implementation complexity.
genetic algorithm
massive MIMO
large-but-finite multiple-input multiple-output (MIMO)
Antenna selection
partial channel state information (CSI)
Author
Behrooz Makki
Chalmers, Signals and Systems
Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner
Anatole IDE
ESIEE
Tommy Svensson
Chalmers, Signals and Systems
Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner
Thomas Eriksson
Chalmers, Signals and Systems
Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner
Mohamed-Slim Alouini
King Abdullah University of Science and Technology
IEEE Transactions on Vehicular Technology
0018-9545 (ISSN)
Vol. 66 7 6591-6595 7801976Areas of Advance
Information and Communication Technology
Subject Categories (SSIF 2011)
Telecommunications
Communication Systems
Signal Processing
DOI
10.1109/TVT.2016.2646139