Optimal Transmit Antenna Selection Using Improved GSA in Massive MIMO Technology

Autor: Inumula Veeraraghava Rao, V. Malleswara Rao
Rok vydání: 2019
Předmět:
Zdroj: Wireless Personal Communications. 109:1217-1235
ISSN: 1572-834X
0929-6212
DOI: 10.1007/s11277-019-06611-8
Popis: Massive Multiple Input Multiple Output (M-MIMO) systems depend on numerous antennas to transfer numerous data streams simultaneously in Wireless Network Systems. In M-MIMO systems, the optimal Transmit Antennas Selection remains as a major constraint. As the count of antennas is increased, the power or energy consumption also increases. In fact, for attaining higher capacity, more transmit antennas is required, which leads to an increase in power consumption. Hence, for solving these problems in M-MIMO systems, this paper intend to achieve the selection of optimal transmit antennas by considering a multi-objective problem that maximizes both the capacity and relative Energy Efficiency. For attaining this objective, the proposed novel optimization algorithm not only optimizes the number of transmit antennas but also optimizes which antenna has to be selected. Hence, for optimal selection of antennas, improved GSA is used here, based on a velocity vector, and hence the proposed scheme is termed as Modified Velocity vector based GSA (MV-GSA) that determines the number of antennas and how to select the antennas in an optimal way. Moreover, the adopted scheme is compared with conventional algorithms like Genetic Algorithm, Artificial Bee Colony, Particle Swarm Optimization, FireFly and conventional GSA and the results are obtained.
Databáze: OpenAIRE
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