IEEE Network · 2016 · 293 citations · 14 references
ComputingComputer SystemsInformation TechnologyBig Data AnalyticsMobile ComputingMobile SystemsLarge-scale OptimizationMobile CommunicationMobile Data ManagementMobile NetworkingMobile Networks5G Mobile Networks5G NetworksBig Data Analytics ArchitectureCommunication Network OptimizationData-driven OptimizationMobile Data IntegrationNetwork Performance OptimizationOperators
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.
14
Five disruptive technology directions for 5G
Federico Boccardi, Robert W. Heath, Angel Lozano et al. · IEEE Communications Magazine · 2014 · 3.8K citations · Full text
Computing, Electrical Engineering, Information Technology +17
Xindong Wu, Xingquan Zhu, Gongqing Wu et al. · IEEE Transactions on Knowledge and Data Engineering · 2013 · 2.4K citations
Big Data Deep Learning: Challenges and Perspectives
Xuewen Chen, Xiaotong Lin · IEEE Access · 2014 · 1.3K citations · Full text