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Big data-driven optimization for mobile networks toward 5G

机译:大数据驱动的面向5G的移动网络优化

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摘要

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.
机译:大数据为移动网络运营商提供了大量改善服务质量的机会。本文探讨了将大数据分析与网络优化集成在一起的各种方法,旨在提高用户体验质量。我们首先提出大数据驱动(BDD)移动网络优化的框架。然后,我们介绍了不仅从用户设备而且从移动网络收集的大数据的特征。此外,从网络优化的角度讨论了几种数据收集和分析技术。为了说明该框架的可行性,还给出了某些用户案例,这些案例适用于所提议的框架以提高网络性能。随着新兴的第五代(5G)移动网络与大数据分析的集成,我们的日常移动生活质量有望大大提高。

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