研究課題
特別研究員奨励費
The survey of research using Machine Learning and Mobile Edge Cloud I completed last year was accepted in the beginning of this year. I also created a Machine Learning-based protocol for deciding the best locations to deploy edge servers based on network architecture and user disposition. My solution is capable of improving performance 40% from what conventional research applies. This research resulted in a presentation in an esteemed international conference and a publication in a top ranked journal. I ended the year by working on my my Doctor’s thesis. I talked about how Machine Learning could be used to significantly improve the performance of Mobile Edge Cloud. In thesis I also combined all my previous solutions into one single overarching protocol.
令和元年度が最終年度であるため、記入しない。
すべて 2020 2019 2018
すべて 雑誌論文 (5件) (うち国際共著 5件、 査読あり 5件、 オープンアクセス 1件) 学会発表 (2件) (うち国際学会 1件)
IEEE Communications Surveys & Tutorials
巻: 22 号: 1 ページ: 38-67
10.1109/comst.2019.2943405
IEEE Transactions on Emerging Topics in Computing
巻: 1 号: 4 ページ: 1-1
10.1109/tetc.2019.2963091
IEEE Transactions on Computers
巻: 67 号: 9 ページ: 1287-1300
10.1109/tc.2018.2818144
IEEE Transactions on Vehicular Technology
巻: 67 号: 12 ページ: 12086-12094
10.1109/tvt.2018.2872542
IEEE Internet of Things Journal
巻: 印刷中 号: 2 ページ: 3087-3096
10.1109/jiot.2018.2878884
