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

Qiu, Yu; Zhang, Haijun; Long, Keping; Sun, Hongjian; Li, Xuebin; Leung, Victor

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Authors

Yu Qiu

Haijun Zhang

Keping Long

Xuebin Li

Victor Leung



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.

Citation

Qiu, Y., Zhang, H., Long, K., Sun, H., Li, X., & Leung, V. (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 (1-5). https://doi.org/10.1109/iccchina.2017.8330444

Conference Name 2017 6th IEEE/CIC International Conference on Communications in China (ICCC2017).
Conference Location Qingdao, China
Start Date Oct 22, 2017
End Date Oct 24, 2017
Acceptance Date Aug 21, 2017
Online Publication Date Apr 5, 2018
Publication Date Apr 5, 2018
Deposit Date Aug 28, 2017
Publicly Available Date Mar 29, 2024
Publisher Institute of Electrical and Electronics Engineers
Pages 1-5
Book Title 2017 IEEE/CIC International Conference on Communications in China (ICCC) : 22-24 Oct. 2017, Qingdao, China ; proceedings.
ISBN 9781538645031
DOI https://doi.org/10.1109/iccchina.2017.8330444

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