Blind Handover Detection based on KLD: Channel Capacity and Outage Probability Estimations for Rice and Nakagami Models

The use of mobile cellular communication is growing all over the world, with the increasing popularity of mobile devices. Fifth Generation (5G) has recently emerged to satisfy the increasing demand for high data bit rates, to maintain network connectivity every time and everywhere, opening the possibility of connecting all the devices in the network. A key piece of this shift is the deployment of Small Cells over the Macrocells layer which introduces a new type of network called Heterogeneous Networks (HetNets), which involve more Handovers. In addition, the user has to select instantly and at inferior energy cost, the suitable base station in the midst of thousands. In this paper, to decide of the best Handover with reduced complexity of computation, we apply a Handover technique based on Distribution Analysis Detector combined with Compressive Sampling Techniques, after that, we propose to estimate the performance of networks in terms of Channel Capacity and Outage Probability based on Rice and Nakagami distribution models. We obtain Channel Capacity and Outage Probability by using concepts from Information Theory. Through numerical evaluations, we show that the Nakagami distribution model is more efficient than the Rice distribution model.