Research theme for competitive and other funds (5)：
2024 - 2029 無線通信とセンシングの統合環境における能動的推論による電波リソース制御
2023 - 2026 トピックモデルと時空間深層学習を用いたトラフィック予測法に関する研究
2020 - 2024 Network Control Using Cognitive Bias
2018 - 2021 QoE Control on Video Streaming based on the Brain and Cognitive Mechanisms
2016 - 2018 ネットワーク仮想化環境における予測型トラヒックエンジニアリングの研究開発
Papers (34)：
Amato Otsuki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata 0001, Tatsuya Otoshi. Adaptive Network Slicing Control Method for Unpredictable Network Variations Using Quality-Diversity Algorithms. CCNC. 2024. 819-822
Kohei Shiomoto, Tatsuya Otoshi, Masayuki Murata. A novel network traffic prediction method based on a Bayesian network model for establishing the relationship between traffic and population. Annales des Telecommunications/Annals of Telecommunications. 2023. 78. 1-2. 53-70
Tatsuya Otoshi, Masayuki Murata, Hideyuki Shimonishi, Tetsuya Shimokawa. Distributed Timeslot Allocation in mMTC Network by Magnitude-Sensitive Bayesian Attractor Model. 2023 IEEE 9th International Conference on Network Softwarization: Boosting Future Networks through Advanced Softwarization, NetSoft 2023 - Proceedings. 2023. 212-216
Tatsuya Otoshi, Masayuki Murata. Evolutionary Algorithm with Phenotype Diversity for Virtual Network Embedding. 2023 International Conference on Computing, Networking and Communications, ICNC 2023. 2023. 596-602
Tatsuya Otoshi, Masayuki Murata, Hideyuki Shimonishi, Tetsuya Shimokawa. Hierarchical Bayesian Attractor Model for Dynamic Task Allocation in Edge-Cloud Computing. 2023 International Conference on Computing, Networking and Communications, ICNC 2023. 2023. 12-18
