Title: Exploration of cognitive radio network with the integrated optimisation of channel allocation and power control by hybrid algorithm

Authors: T. Sarath Babu; Penke Satyanarayana; S. Nagaraja Rao

Addresses: Department of ECE, KL Deemed to be University, Vaddeswaram, Guntur, Andhra Pradesh, India ' Department of ECE, KL Deemed to be University, Vaddeswaram, Guntur, Andhra Pradesh, India ' Department of ECE, G. Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India

Abstract: Cognitive radio is one of wireless communications where the involving communication channels are detected through a transceiver. Spectrum allocation is a key challenge in the research on cognitive radio networks (CRNs). The conventional studies are focused on providing low-complexity solutions to find the power allocation to enhance energy efficiency and reduce the interference of the primary user and thus, satisfying the secondary users' minimum rate requirements. Thus, there is a need to introduce joint optimisation of channel allocation and power control in CRN. This is achieved by a new heuristic algorithm with the binary bat-reptile search algorithm (BB-RSA). This integrated mechanism is formulated by solving the multi-objective function regarding functions like throughput, outage probability, and Ergodic capacity. The heuristic algorithm is proposed to realise the best channel and power allocation in CRN. Extensive simulation results are presented to demonstrate the performance of the proposed scheme.

Keywords: cognitive radio networks; CRNs; channel allocation and power control optimisation; throughput; outage probability; Ergodic capacity; binary bat-reptile search algorithm; BB-RSA.

DOI: 10.1504/IJNVO.2023.130959

International Journal of Networking and Virtual Organisations, 2023 Vol.28 No.1, pp.77 - 101

Received: 12 Jul 2022
Accepted: 14 Jan 2023
Published online: 14 May 2023 *