Whale Optimization Algorithm for Transmit Antenna Selection in MIMO Cognitive Radio Systems

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Mehak Saini, Surender K. Grewal

Abstract

For performance enhancement of wireless communication systems, MIMO systems are used and have become an essential component of modern wireless communication networks. Different types of MIMO systems are used according to the application such as massive MIMO (mMIMO), millimeter wave MIMO (mmWave MIMO), distributed MIMO (D-MIMO), cooperative MIMO such as cognitive radio based MIMO, etc. In this paper, Whale Optimization Algorithm (WOA), a metaheuristic technique is used for solving the optimization problem of performing transmit antenna selection (TAS) i.e.,  selecting the best set of antennas at transmitter side for an overlay cognitive radio (CR) based hybrid MIMO system. Due to their capacity to intelligently utilise the priceless electromagnetic spectrum, CR communication systems prove to be an effective strategy for current and future wireless communication networks. The  Bit Error Rate (BER) versus Signal to Noise Ratio (SNR) graphs show the results of the proposed network.

Article Details

How to Cite
Mehak Saini, et al. (2023). Whale Optimization Algorithm for Transmit Antenna Selection in MIMO Cognitive Radio Systems . International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 4637–4642. https://doi.org/10.17762/ijritcc.v11i9.9998
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