Improved Imperialist Competitive Algorithm Based Energy Efficient Peak to Average Power Ratio (Papr) in Cooperative Mimo-Af Systems

To enhance the performance of communication system, there are many cooperative techniques are available. The multi-input multi-output (MIMO) system has been analysed in this paper and its peak to average power is analysed with optimal available techniques. Such techniques are focused on various parameters and in this paper we have considered energy efficiency (EE). Practical implementations of realizing MIMO amplify and forward technique has some difficulties. In recent times, an algorithm such as Firefly fuzzy hybrid algorithm is being used. But in realizing the amplification and forward system, the performance may not be enhanced if the energy is not considered. The energy of the non linear system is associated with the average power and power efficiency. An improved imperialist competitive algorithm is proposed in this paper. The focus is mainly kept on energy efficiency. Algorithms such as EE HFFA (Energy efficient Hybrid Fuzzy Firefly Algorithm), amplify and forward system (AF) are analysed to bring out an algorithm called Improved Imperialist Competitive algorithm (IICA). It has been analysed in this paper that the simulation results of energy efficient IICA induces peak average power ratio (PAPR) which showed significant improvement in energy efficiency.