Fractional Frequency Reuse (FFR) is a significant technique employed in cellular networks with dense base station deployments to manage co-channel interference. FFR partitions the bandwidth of a cell to minimize interference among neighboring cells while maximizing the efficiency of frequency reuse. Implementing FFR within multi-tier cellular networks presents several technical challenges. These include effectively partitioning the bandwidth, managing interference dynamically, and optimizing resource allocation among mobile stations located in varying positions within each cell. The development of accurate analytical models is crucial for understanding and optimizing the performance of FFR in cellular networks. Queuing theory provides a framework for analysing the behavior of networks under various loads and conditions. In this paper by modelling user arrivals, service rates, and the distribution of users across the network for different FFR strategies, influence on network stability and performance is determined. Performance metrics, such as average wait times, system utilization, and throughput are determined which impact of interference in FFR networks.