Performance Evaluation of Femtocell Using Cognitive Interference Management in LTE Networks

Abstract

In 4G system there are many services can be offered to the users, and effective resource management will lead to give them a proper quality of services they require. In heterogeneous networks the deployment of femtocells may introduce extra interference to macrocell base stations. An effective interference management mechanism is required to optimize the system performance. This research is focusing on both co/cross-tier Interference in heterogeneous networks and finds a way through Cognitive Interference management to increase the quality of received signal. A resource allocation scheme is proposed to resolve the two-tier downlink interference problem, and effectively manage the resources between macro/femtocell’s users according to the received signal-to-interference-plus-noise ratio (SINR). The improvement in the system achieved is shown in the simulation using the Matlab programming language. The results are achieved in parameters that improved the system and enhanced the performance compared to the system without Spectrum Splitting-based Cognitive Interference Management, including SINR improvement by 7 dB, Throughput is raised by 7.5%; thus, leads to increase the Spectral efficiency, diminish the delay time by 8.2% ,reduction of outage probability