Muhammad Kamran Khan gotten his PhD in 2019. Now he is a Assistant Professor of University of Peshawar. His research interests are lying on Signal Processing using Metaheuristic Optimization Techniques, Renewable Energy System, Power Electronic Converters, DC-DC Converters for Electric Vehicle charging.

Title: Minimization of interference in Cognitive Radio using Modified Particle Swarm Optimization

Abstract:
In the recent past, different optimization algorithms have been applied to scientific and engineering research problems and they gave drastic improvements as compared to the other traditional techniques. One of the powerful optimization techniques is particle swarm optimization (PSO), which is a non-derivative but efficient optimization technique. The basic PSO was introduced in 1995 by James Kennedy and Eberhart. Later on, different researchers brought improvements in its performance. In this research paper, a modified PSO applied to the minimization of interference with neighbour channels in the OFDM-based cognitive radio is discussed. The required result has been achieved by inserting two Cancellation Carriers (CCs) at both sides of the OFDM signal. Like the OFDM signal, the CCs also generate the sidelobes. The amplitudes and polarity of the sidelobes are calculated by the proposed modified PSO in such a way, that the interference with close channels will be minimized. The CCs have no data and are added just to minimize the Out of Band (OOB) radiations. By using this technique there would be a minor loss in both the signal-to-noise ratio (SNR) and a little increase in the peak-to-mean power ratio (PMPR).