Traffic Normalization and Interference Management in Femtocell-Cellular Network: A Joint Strategy

Abstract

The impact of large amounts of data traffic in a cellular network not only affects capacity requirements but also affects the quality of the services of the network. The usage of femtocells cost-effectively increases network connectivity and coverage. Based on the review analysis, it is found that the existing literature mainly focuses on the energy problem in the cellular network without much attention to interference-causing issues. Thus, the proposed work offers an analytical strategy for unitedly addressing traffic management and interference management issues to accomplish better power-efficiency in a femtocell-cellular network. The proposed study takes advantage of the simple concept of stochastic geometry and proposes an effective noise modeling scheme supported by algorithmic implementations. The effectiveness of the proposed system was verified by performance evaluation and comparative analysis, considering similar existing research work in terms of power consumption, interference control, and processing time.