HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks

A heterogeneous computing architecture is essential to facilitate intelligent network traffic control for a joint computation, communication, and collaborative caching optimization in 6G networks to provide stringent Quality of Experience (QoE) guarantees. In this paper, we consider a 6G integrated...

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Vydáno v:	IEEE transactions on emerging topics in computing Ročník 10; číslo 1; s. 112 - 123
Hlavní autoři:	Md. Fadlullah, Zubair, Kato, Nei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	6G mobile communication Algorithms Base stations Caching Cloud computing Collaboration collaborative caching Communications traffic Computational modeling Computer architecture Data models edge computing Federated learning Heterogeneous networks heterogeneouscomputing platform (HCP) Intelligent networks Machine learning Numerical analysis Optimization Privacy Radio equipment Traffic control unmanned Aerial Vehicle (UAV) Unmanned aerial vehicles
ISSN:	2168-6750, 2168-6750
On-line přístup:	Získat plný text
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