articleIEEE Communications Surveys & TutorialsJan 1, 2019Closed access

Deep Learning in Mobile and Wireless Networking: A Survey

CZChaoyun ZhangPPPaul PatrasHHHamed Haddadi

University of Edinburgh · Dyson (United Kingdom) · +1 more institution

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Abstract

The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure. Upcoming 5G systems are evolving to support exploding mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience. Fulfilling these tasks is challenging, as mobile environments are increasingly complex, heterogeneous, and evolving. One potential solution is to resort to advanced machine learning techniques, in order to help manage the rise in data volumes and algorithm-driven applications. The recent success of deep learning underpins new and powerful…

Citation impact

1,730
total citations
FWCI
127.36
Percentile
100%
References
736
Citations per year

Authors

3

Topics & keywords

Topics
Keywords
  • Computer science
  • Deep learning
  • Mobile device
  • Mobile computing
  • Wireless network
  • Software deployment
  • Artificial intelligence
  • Big data
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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