Title: Adaptive beam forming of MIMO system using optimal steering vector with hybrid bacterial foraging optimisation algorithm for channel selection

Authors: P. Sekhar Babu; P.V. Naganjaneyulu; K. Satya Prasad

Addresses: ECE Department, Sai Spurthi Institute of Technology, B.Gangaram, Telangana 507303, India ' Sri Mittapalli College of Engineering, Tummalapalem, Guntur, Andrapradesh, India ' Vignan's Foundation for Science, Technology and Research, Guntur – Tenali Rd, Vadlamudi, Andhra Pradesh 522213, India

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.

Keywords: beam forming; smart antenna; multiple input multiple output; MIMO; system; channel selection; bacterial foraging optimisation algorithm; BFOA; greedy algorithm; Tabu search; TS.

DOI: 10.1504/IJISTA.2020.110011

International Journal of Intelligent Systems Technologies and Applications, 2020 Vol.19 No.4, pp.377 - 392

Received: 24 Dec 2018
Accepted: 22 Apr 2019
Published online: 01 Oct 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article