Power Allocation of OFDM Based-Cognitive Radio Networks Using PSO and Ipso

Abstract: The massive development in wireless communication, the lack of wireless spectrum resources is one of the main factor oblige. The unlicensed spectrum bands reserved spectrum resources are incompetent to fulfilment of increasing service requirement based on the current spectrum management policy. For that, cognitive radio (CR) bear a best solution to ameliorate resource efficiency and dynamic spectrum allocation technology. Resource efficiency and dynamic spectrum allocation technology which can be ameliorate by using the CR. CR provides a good concept for extensively magnifying the spectrum utilization and solving this problem. Orthogonal Frequency Division Multiplexing (OFDM) is suitable for CR based on the transmission system which provide spectrum efficiency due to its flexible dynamic resource allocation. Spectral efficiency is useful for CR network because subcarrier is very closely placed and are overlapping hence OFDM used. Multicarrier modulation technique that is OFDM which chop the data into chunk are modulated using closely placed. A distributed algorithm is an algorithm designed to run a computer hardware constructed from interconnected processor. In this paper, compare the parameters as throughput and power by using the three different methods used such as Distributed, Particle Swarm Optimization (PSO) and Improved Particle Swarm Optimization (IPSO). In that, IPSO algorithm used to minimize the power or optimum value of power is calculated. And for maximizing the throughput, the CR technology is used.

Keywords: Cognitive radio, OFDM, Distributed algorithm, PSO, IPSO.