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Articles

Development of optimal channel and power allocation through enhanced artificial ecosystem-based optimisation strategy

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Pages 257-270 | Received 08 Jul 2022, Accepted 07 Nov 2022, Published online: 27 Nov 2022
 

Abstract

Cognitive Radio (CR) is developed to provide effective spectrum usage. CR is much significant in improving the efficiency of the global internet in applications. The evolutionary measurement technology is utilised to improve the evaluation of channel-state information. The outcome attained very few spectrums sensing in CR for complex mobility. A good optimisation method is needed to improve the accurate channel state prediction in successful channel access. Thus, this paper aims to implement a novel power and channel allocation mechanism with the help of a new Modified Levy Flight-based Artificial Ecosystem Optimisation (MLF-AEO) Optimisation Strategy. This paper achieves the optimal power control and channel allocation mechanism intending to solve the multiple objective functions based on the constraints like Interference among users, Outage Probability, and throughput. The superiority of the proposed algorithm is thoroughly verified by various simulation results.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

T. Sarath Babu

Sri T. Sarath Babu is a research scholar in the Department of the Electronics and Communications Engineering, KL Deemed to be University, Vaddeswaram, Guntur, Andhra Pradesh, India. He received the B.E. Degree in Electronics and Communications Engineering from Bangalore University, Bangalore, Karnataka, India in 2001. He obtained the M.Tech. Degree in Communications and Signal Processing, from Sri Krishnadevaraya University, Ananthapuramu, Andhra Pradesh, India in 2007. He has 15 years of teaching experience. His research interests focus on wireless communications and networks.

Penke Satyanarayana

Dr. Penke Satyanarayana is a Professor in the Department of Electronics and Communications Engineering at KL Deemed to be University, Vaddeswaram, Guntur, Andhra Pradesh, India. He obtained his Masters degree M.Tech in Computers and Communication from JNTU, Kakinada in the year 2004 and Ph.D in MIMO Wireless Communications from JNTU, Kakinada, Andhra Pradesh, India in the year 2016. His research focuses are Wireless Communications and signal processing. He also published several research papers in international journals and conferences. He holds 2 patents published under his name.

S. Nagaraja Rao

Dr. S. Nagaraja Rao is a Professor in the Department of Electronics and Communications Engineering at G. Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India. He obtained his Masters degree M. Tech from J.N.T. University, Masab Tank, Hyderabad in Digital Systems and Computer Electronics in the year 1998 and Ph. D. in Image Processing From JNTUA, Anantapuramu, Andhra Pradesh, India in the year 2011. His research focuses are signal processing, image processing, and communication networks. He also published several research papers in International journals and conferences.

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