A Robust Speed-Based Handover Algorithm for Dense Femtocell/Macrocell LTE-A Network and Beyond

Authors

  • Olusegun O. Omitola Department of Electronic Engineering, University of KwaZulu-Natal, Durban – 4041, South Africa
  • Viranjay M. Srivastava Department of Electronic Engineering, University of KwaZulu-Natal, Durban – 4041, South Africa

Keywords:

Call Admission Control (CAC), Dense Network, Handovers, Femtocell, Macrocell, LTE-A,

Abstract

Femtocells are currently being deployed in the present generation of cellular networks because of their ability to provide increased data rate at home and offices. This development together with the recent advances in technology brings about a huge increment in bandwidth required to meet the future demand for data by the ever increasing mobile devices. It is envisaged that with dense deployment of femtocells, the present challenge in terms of data requirement as well as the future demand will be met. Therefore, it is imperative to intensify the research in the area of handover management in femtocell/macrocell integrated network using a high dense network scenario that will dominate the future network. Presently, most research works in this area do not focus much on a dense deployment of mobile users in a femtocell/macrocell integrated network. Also, many existing handover algorithms were not designed to work in a highly mobile and dense environment. In this work, the authors propose a robust CAC handover algorithm for a dense femtocell/macrocell LTEAdvanced integrated network. The proposed CAC algorithm is efficient to handle calls in a highly dense and mobile user environment. The simulation results of the proposed algorithm show that the handover call dropping probability, call blocking probability and handover probability are considerably reduced.

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Published

2016-12-01

How to Cite

O. Omitola, O., & M. Srivastava, V. (2016). A Robust Speed-Based Handover Algorithm for Dense Femtocell/Macrocell LTE-A Network and Beyond. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(9), 121–129. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1054

Issue

Vol. 8 No. 9: September - December 2016

Section

Articles

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