DocumentCode
2108224
Title
A MIH and SDN-based Framework for network selection in 5G HetNet: Backhaul requirement perspectives
Author
Hu, Shengdun ; Wang, Xianbin ; Shakir, Muhammad Zeeshan
Author_Institution
Department of Electrical and Computer Engineering, University of Western Ontario, London, ON, Canada
fYear
2015
fDate
8-12 June 2015
Firstpage
37
Lastpage
43
Abstract
Cell sizes of the Fifth Generation (5G) of mobile networks grow inexorably smaller because of the massive Multiple-Input Multiple-Output (MIMO) and millimeter wave communication technologies to be used. It is therefore challenging to address the mobility management, especially vertical handover in 5G networks. In this paper, an intelligent vertical handover framework is proposed and discussed to simplify the network selection, and to reduce the handover latency and frequency. Integrating Media-independent handover (MIH) and Software-defined network (SDN) technologies, the core of our design is to ensure the handover happens between only two potential networks regardless of the available types of technologies. For this purpose, we exploit three types of handover information with a new pre-selection scheme to eliminate unqualified networks and generate a network ranking. Moreover, with the introduction of steady period, we use the feature of SDN to deliver the best two candidate networks to the two-dimensional (2D) cost function module for the final decision. Simulation results show that our proposed framework can accurately select the optimal network in an efficient manner even if a number of access technologies exist. Furthermore, our framework reduces the vast backhaul traffic during a vertical handover process and keeps the backhaul energy consumption low. Eventually, simulation also shows superiority when the cell sizes are diverse.
Keywords
Context; Handover; Next generation networking; Quality of service; Wireless communication; 5G HetNet; Backhaul; MIH; SDN; Vertical handover;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Workshop (ICCW), 2015 IEEE International Conference on
Conference_Location
London, United Kingdom
Type
conf
DOI
10.1109/ICCW.2015.7247072
Filename
7247072
Link To Document