Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges

Abstract Future wireless communications are becoming increasingly complex with different radio access technologies, transmission backhauls, and network slices, and they play an important role in the emerging edge computing paradigm, which aims to reduce the wireless transmission latency between end-...

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Bibliographic Details
Main Authors: Huaming Wu, Xiangyi Li, Yingjun Deng
Format: Article
Language:English
Published: SpringerOpen 2020-04-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13677-020-00168-9