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Detail
Journal Article
심화 학습 기반 이동 통신 기술 연구 동향
- Authors
- 권동승
- Issue Date
- 2019-12
- Citation
- 전자통신동향분석, v.34, no.6, pp.71-86
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원
- Language
- Korean
- Type
- Journal Article
- Abstract
- The unprecedented demands of mobile communication networks by the rapid rising popularity of mobile applications and services require future networks to support the exploding mobile traffic volumes, the real time extraction of fine-rained analytics, and the agile management of network resources, so as to maximize user experience. To fulfill these needs, research on the use of emerging deep learning techniques in future mobile systems has recently emerged; as such, this study deals with deep learning based mobile communication research activities. A thorough survey of the literature, conference, and workshops on deep learning for mobile communication networks is conducted. Finally, concluding remarks describe the major future research directions in this field.
- KSP Keywords
- Future research directions, Mobile Application(APP), Mobile communication networks, Mobile system, Mobile traffic, Network resources, Real-time, Traffic volume, User experience, deep learning(DL), future network
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
