Optimal spectrum and power allocation using evolutionary algorithms for cognitive radio networks

• DOI: 10.1002/itl2.207
• Publication Date: 2020-07-13T09:30:31Z
• Authors: Kiran Kumar Anuma...; Samrat L. Sabat; Rangababu Peesapati; Prabu A.V.; J. R. K. Kumar Da...; Ranjita Rout
• Keywords: Frequency allocation; Differential Evolution

Cognitive radio is a promising technology for efficient spectrum utilization. It explores dynamic access features while satisfying interference constraints. In this work, joint power and allocation algorithm proposed to maximize the cognitive network throughput constraints of both primary secondary users in network. Evolutionary algorithms are used solve problem. Furthermore, algorithmic performance compared terms quality solution. And also we optimized maximum utilization capacity each user simultaneously by using Multi‐Objective Differential Evolution (MODE) Nondominated Sorting Genetic Algorithm II (NSGA‐II). Simulation results show that pareto optimal fronts provide trade‐off solutions between total individual sum user.