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.

Antenna selection

partial channel state information (CSI)

large-but-finite multiple-input multiple-output (MIMO)

massive MIMO

genetic algorithm

Author

Behrooz Makki

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Anatole IDE

ESIEE

Tommy Svensson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Thomas Eriksson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Mohamed-Slim Alouini

King Abdullah University of Science and Technology (KAUST)

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN)

Vol. 66 7 6591-6595 7801976

Millimetre-Wave Based Mobile Radio Access Network for Fifth Generation Integrated Communications (mmMAGIC)

European Commission (EC), 2015-07-01 -- 2017-06-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/TVT.2016.2646139

More information

Latest update

1/21/2021