Background and Objective: This communication introduces a multiple secondary user
(SU) cognitive radio (CR) system in a dynamic fading environment, specifically Nakagami-m fading.
The transmission parameters of the CR system are optimized to turn it into an optimal design.
Methods: For this purpose, a new hybrid of differential evolution, biogeography-based optimization
with simulated annealing, namely DE/BBO/SA is proposed. The suggested method searches the best
CR parameter values while accomplishing general communication objectives. Fitness functions of
these objectives are modified to include fading as well as to accommodate multiple carriers.
Results and Conclusion: DE/BBO/SA generated results in terms of optimized parameters, fitness
core and values of the objectives are compared with the ones acquired by other available techniques
in the literature to show the efficacy of DE/BBO/SA in cognitive radio optimization. The
performances are further validated by conducting a non-parametric statistical test to prove the use
of proposed technique for solving CR problem.