Art

J-GLOBAL ID：201802217739739376   Reference number：18A0505213

Coverage Expansion in mmWave V2I Communications by Deep Reinforcement Learning Based Vehicle Re-deployment

ミリ波路車間通信のカバレッジ拡大のための深層強化学習による車両移動制御

Author (4)： TAYA AKIHITO (京大 大学院情報学研究科) ,  NISHIO TAKAYUKI (京大 大学院情報学研究科) ,  MORIKURA MASAHIRO (京大 大学院情報学研究科) ,  YAMAMOTO KOJI (京大 大学院情報学研究科)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 117  Issue： 450(MoNA2017 63-71)  Page： 317-322  Publication year： Feb. 19, 2018 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *millimeter wave communication ,  service area ,  extension ,  *car communication ,  Machine Learning ,  *reinforcement learning ,  automobile ,  control ,  *communication network ,  communication repeating ,  running ,  connected car ,  deep learning ,  movement control ,  autonomous travel ,  *multihop network
Semi thesaurus term： *road to vehicle communication ,  *multihop communication

JST classification (2)： Mobile communication  (ND08030H) ,  Microwave and millimeterwave communication  (ND08020W)

Reference (12)：

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• A. Taya, T. Nishio, M. Morikura, and K. Yamamoto, ′′Coverage expansion through dynamic relay vehicle deployment in mmWave V2I communications,′′ Proc. of IEEE 87th Vehicular Technology Conference (VTC Spring), pp.1-5, 2018.

Terms in the title (6)： ミリ波 ,  路車間通信 ,  カバレッジ ,  拡大 ,  深層強化学習 ,  移動制御