Adaptive beam forming of MIMO system using optimal steering vector with hybrid bacterial foraging optimisation algorithm for channel selection Online publication date: Thu, 01-Oct-2020
by P. Sekhar Babu; P.V. Naganjaneyulu; K. Satya Prasad
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 19, No. 4, 2020
Abstract: The modern communication systems face several issues that are quite challenging, more so in those involving smart antennas such as the antenna array beam. In this work, an optimised bacterial foraging optimisation algorithm (BFOA) along with a greedy algorithm and a Tabu search (TS) algorithm for the channel selection having an adaptive beam which is formed by using a steering vector is proposed. In the proposed hybrid, adaptive seed dispersion will make the BFOA-TS be able to converge faster when compared to a BFOA-Greedy. This type of behaviour has been duly verified by means of an application of the BFOA-TS and the BFOA-Greedy on the test functions which are well-known. The results of this experiment proved that the method proposed was able to achieve a better performance compared to that of the others.
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