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Mobile Information Systems
Volume 2017 (2017), Article ID 9643401, 9 pages
https://doi.org/10.1155/2017/9643401
Research Article

Virtualized ANR to Manage Resources for Optimization of Neighbour Cell Lists in 5G Mobile Wireless Networks

School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Seoul, Republic of Korea

Correspondence should be addressed to Yoonsu Shin; rk.ca.iesnoy@lwonis

Received 26 August 2016; Revised 11 December 2016; Accepted 29 December 2016; Published 8 February 2017

Academic Editor: Piotr Zwierzykowski

Copyright © 2017 Yoonsu Shin and Songkuk Kim. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In future, more devices such as wearable devices will be connected to the networks. This will increase simultaneous handovers. The coverage of a cell will be small because a superhigh frequency used in 5G wireless networks does not propagate very far. This trend will increase the number of neighbour cell lists and it will accelerate the change of neighbour cell lists since the coverage of cells can be altered by the environment. Meanwhile, the ANR technology will be essential in 5G networks. Since the network environment in the future is not similar to the present, the strategy of ANR should also be different from the present. First, since practical neighbour cell lists in each cell are changed frequently and individually, it is necessary to optimize them frequently and individually. Second, since the neighbour cell lists in each cell are not changed similarly, it is necessary to operate ANR flexibly. To respond to these issues, we propose to use network function virtualization (NFV) for ANR. To evaluate the proposed strategies, we measured additional resource consumption and the latency of handover if neighbour cell lists are not optimized when UEs perform handover simultaneously. These experiments are conducted using Amarisoft LTE-100 Platform.