Big data-driven optimization for mobile networks toward 5G

Zheng, Kan, Zhe, Yang, Zhang, Kuan, Chatzimisios, Periklis, Yang, Kan, and Xiang, Wei (2016) Big data-driven optimization for mobile networks toward 5G. IEEE Network, 30 (1). pp. 44-51.

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Abstract

Big data offers a plethora of opportunities to mobile network operators for improving quality of service. This article explores various means of integrating big data analytics with network optimization toward the objective of improving the user quality of experience. We first propose a framework of Big Data-Driven (BDD) mobile network optimization. We then present the characteristics of big data that are collected not only from user equipment but also from mobile networks. Moreover, several techniques in data collection and analytics are discussed from the viewpoint of network optimization. Certain user cases on the application of the proposed framework for improving network performance are also given in order to demonstrate the feasibility of the framework. With the integration of the emerging fifth generation (5G) mobile networks with big data analytics, the quality of our daily mobile life is expected to be tremendously enhanced.

Item ID: 42501
Item Type: Article (Research - C1)
ISSN: 1558-156X
Keywords: big data, mobile networks, 5G
Funders: National High-Tech R&D Program, China Natural Science Funding, National Key Technology R&D Program of China, Fundamental Research Funds for the Central Universities
Projects and Grants: National High-Tech R&D Program 863 Program 2015AA01A705, China Natural Science Funding grant 61271183, National Key Technology R&D Program of China No. 2015ZX03002009-004, Fundamental Research Funds for the Central Universities No. 2014
Date Deposited: 17 Feb 2016 04:17
FoR Codes: 40 ENGINEERING > 4006 Communications engineering > 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave) @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
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