Improved Channel Capacity and Interference Reduction in ML-SFR for Wireless Communication Systems

In this paper a new method using Particle Swarm Optimization (PSO) has been proposed to reduce the Inter Cell Interference. We formulated the work using the model presented in the base paper. Then we investigated the cell edge spectrum efficiency and Inter Cell Interference in the ML-SFR. After investigation we searched for the different algorithms to reduce the interference and increase the channel capacity. After that we proposed a Swarm Intelligence based Inter Cell Interference reduction algorithm. This has optimized the power of each cell with the adaptive resource allocation technique, which was the limitation of base paper and also this algorithm is adaptive with network traffic and path loss model. MATLAB has been used for the simulation of cell edge spectral efficiency and interference. The results have shown that the cell edge spectrum efficiency is increased by 23% of that ML-SFR. Index terms ML-SFR, PSO, ICI, OFDM