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Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era

2018

The unprecedented growth of wireless data traffic not only challenges the design and evolution of the wireless network architecture, but also brings about profound opportunities to drive and improve future networks. Meanwhile, the evolution of communications and computing technologies can make the network edge, such as BSs or UEs, become intelligent and rich in terms of computing and communications capabilities, which intuitively enables big data analytics at the network edge. In this article, we propose to explore big data analytics to advance edge caching capability, which is considered as a promising approach to improve network efficiency and alleviate the high demand for the radio resou…

wireless networksContent popularityEdge deviceComputer scienceBig data5G-tekniikkaRadio resource02 engineering and technologyWireless network architecturebig data5G mobile communication0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineeringta113: Computer science [C05] [Engineering computing & technology]hidden Markov modelsbusiness.industry020208 electrical & electronic engineeringWireless dataanalytical models020206 networking & telecommunications: Sciences informatiques [C05] [Ingénierie informatique & technologie]Computer Science Applicationsdata modelskoneoppiminenmachine learningdevice-to-device communicationEnhanced Data Rates for GSM EvolutionCachebusinesslangattomat verkotComputer networkIEEE Wireless Communications
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