Performance optimization of fractional frequency reuse in Long Term Evolution (LTE) systems using Cuckoo Search algorithm

The main goal of this work is to use the Cuckoo Search (CS) algorithm to optimize Fractional Frequency Reuse (FFR) of cellular network systems. FFR is an interference management technique well suited to OFDMA based cellular network systems, such as Long Term Evolution system (LTE). This paper proposes a mechanism that selects the optimal value of inner cell region radius in strict FFR that maximize both throughput and User Satisfaction together using CS algorithm. The CS algorithm has been chosen as it is easy to understand and implement and has limited number of arguments to tune when compared with other optimization algorithms.

I. Introduction

Long Term Evolution (LTE) supports Orthogonal Frequency Division Multiple Access (OFDMA), where frequency reuse factor of one is used, to maximize the spectral efficiency. However, due to large amount of co-channel interference when all cells operate on the same frequency channels, users at the cell edge may sufferfromunacceptable level of quality of servicewhich may affect the overall system throughput accordingly. This problem has been solved with non-traditional frequency planning using Fractional Frequency Reuse (FFR)[1].