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Improving handover of 5G networks by network function virtualization and fog computing.

Qiu, Yu and Zhang, Haijun and Long, Keping and Sun, Hongjian and Li, Xuebin and Leung, Victor (2018) 'Improving handover of 5G networks by network function virtualization and fog computing.', in 2017 IEEE/CIC International Conference on Communications in China (ICCC) : 22-24 Oct. 2017, Qingdao, China ; proceedings. Piscataway: IEEE, pp. 1-5.

Abstract

In Fifth Generation (5G) cellular networks, it is necessary to meet a number of requirements, such as high scalability, ultra-low latency, reduced energy consumption, and high energy efficiency. Particularly in the high mobility scenario, the optimization of handover through managing signalling overhead and delay is of primarily importance. In this paper, the idea of integrating Network Function Virtualization (NFV) and Fog Computing is explored. NFV has the advantage of improving network flexibility whilst reducing overall overhead. The Fog-Computing Access Points (F-APs) are then employed with certain caches in the edge of networks. Moreover, a direct-X2 based handover scheme is proposed. Taking advantages of both edge caching and Virtual Machines (VMs), this proposed handover scheme has superior performance: the signalling cost of handovers can be as little as 65% of that of a conventional LTE network.

Item Type:Book chapter
Additional Information:Invited Paper
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1109/iccchina.2017.8330444
Publisher statement:© 2017 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.
Date accepted:21 August 2017
Date deposited:29 August 2017
Date of first online publication:05 April 2018
Date first made open access:No date available

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