Quality of service optimization in OFDM-based cognitive radio network

Abstract

In this paper, we are interested in the use of two algorithms in an OFDM-based cognitive radio network, the flower pollination algorithm and the cuckoo search algorithm. Our obj ective is to optimize the performance of this network in order to adapt its transmission parameters which have been formulated as a multi-objective optimization problem. The results obtained show that the flower pollination algorithm is faster than the cuckoo search algorithm, and the latter gives a better overall convergence compared to the flower pollination algorithm.