Development of a mathematical formulation for handover management in heterogeneous network

Abstract

The proposed radio network was described as an unbroken–time Markov chain and generates an effective mathematical expression for state probabilities. However, the proposed model was not stretched to combine both the Poisson and the batched Poisson spectrum types. From the title of the work, in similarity to the study in focus, a set of mathematical equations were also formed for the developed model. On the contrary, the study covers 2g, 3g and 4g respectively at the implementation phase. As a stochastic process, Pareto Positive Stable Distribution (PPSD) based on type 2 fuzzy logic principle was used for control in the handover optimisation decision-making process. About this Thesis, Self-Organized Network (SON) was adopted towards increased Quality of Service (QoS) in Het-Net. Also, as a result of the dynamic nature of the signal, based on fuzzy logic, a self-adaptive (optimizing) model was developed to make an intelligent decision based on the predefined membership function. A Markov-based framework was developed by Guidolin, Pappalardo, Zanella & Zorzi (2015) to model the handover process for the mobile subscriber, while an optimum context-dependent handover criterion was generated. The proposed mathematical model was validated by simulations, comparing the performance of the author’s strategy with conservative handover optimization techniques in several scenarios. Lastly, the impact of the handover policy on the subscriber’s performance was depicted and how it can enhance the users’ capability using context information.