Alfoudi, ASD, Newaz, SHS, Ramlie, R, Lee, GM and Baker, T (2019) Seamless Mobility Management in Heterogeneous 5G Networks: A Coordination Approach among Distributed SDN Controllers. In: 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) . (IEEE VTC Spring 2019, 28 April 2019 - 01 May 2019, Kuala Lumpur, Malaysia).

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Abstract

The major objective of evolution towards 5G networks is to support increasing number of end devices with stringent latency and high bandwidth requirements. Software Defined Networking (SDN) and Network Function Virtualization (NFV) are paving the way in supporting such requirements of 5G networks. In this paper, we propose a seamless mobility management for the users when they move from a SDN controller coverage to another in 5G heterogeneous networks. Our proposed solution utilizes the key-value Distributed Hash Table (DHT) to catch users’ mobility in a distributed SDN controller to address scability and seamlessness, where mobile device may join and leave between different associated SDN controllers. The proposed solution allows to select an appropriate AP with cooperation of mobile devices and controllers, so that network performance can be maximized and users’ demand can be met in a dynamically changing of network condition. The performance evaluated using OMNeT++ simulator imparts that the solution introduced in this paper can successfully reduce handover latency around 50% compared to the conventional mobility management solutions.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2019 IEEE Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:	5G network; LTE; WiFi; SDN; NFV; Mobility management
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	IEEE
Date Deposited:	06 Feb 2019 09:20
Last Modified:	16 May 2024 11:50
DOI or ID number:	10.1109/VTCSpring.2019.8746712
URI:	https://researchonline.ljmu.ac.uk/id/eprint/10118

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