Traffic prediction for dynamic traffic engineering considering traffic variation. - Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto (GLOBECOM, 2013)

Flow aggregation for traffic engineering. - Noriaki Kamiyama; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto; Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001 (GLOBECOM, 2014)

Traffic engineering based on stochastic model predictive control for uncertain traffic change. - Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto; Tomoaki Hashimoto (IM, 2015)

Optimizing Cache Location and Route on CDN Using Model Predictive Control. - Noriaki Kamiyama; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto; Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001 (ITC, 2015)

Traffic prediction for dynamic traffic engineering. - Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto (Comput. Networks, 2015)

Effective Flow Aggregation for Traffic Engineering. - Noriaki Kamiyama; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto; Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001 (IEICE Trans. Commun., 2015)

Traffic Engineering Based on Model Predictive Control. - Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001; Yousuke Takahashi; Noriaki Kamiyama; Keisuke Ishibashi; Kohei Shiomoto; Tomoaki Hashimoto (IEICE Trans. Commun., 2015)

Hierarchical traffic engineering based on model predictive control. - Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto; Tomoaki Hashimoto (ICNC, 2016)

Framework for traffic engineering under uncertain traffic information. - Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto; Tomoaki Hashimoto (ICTC, 2016)

Dynamic placement of virtual network functions based on model predictive control. - Kota Kawashima; Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001 (NOMS, 2016)

Traffic engineering cooperating with traffic monitoring for the case with incomplete information. - Kodai Satake; Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001 (ITNAC, 2017)

Separating Predictable and Unpredictable Flows via Dynamic Flow Mining for Effective Traffic Engineering. - Yousuke Takahashi; Keisuke Ishibashi; Masayuki Tsujino; Noriaki Kamiyama; Kohei Shiomoto; Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001 (IEICE Trans. Commun., 2018)

Hierarchical Model Predictive Traffic Engineering. - Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001; Yousuke Takahashi; Keisuke Ishibashi; Kohei Shiomoto; Tomoaki Hashimoto (IEEE/ACM Trans. Netw., 2018)

Rate adaptation with Bayesian attractor model for MPEG-DASH. - Masayoshi Iwamoto; Tatsuya Otoshi; Daichi Kominami; Masayuki Murata 001 (CCWC, 2019)

Implementation of Quantum Decision-Making Based Recommendation Method for Adaptive Bitrate Streaming. - Tatsuya Otoshi; Masayuki Murata 001 (ICIN, 2019)

Traffic Engineering and Traffic Monitoring in the Case of Incomplete Information. - Kodai Satake; Tatsuya Otoshi; Yuichi Ohsita; Masayuki Murata 001 (IEICE Trans. Commun., 2019)

Acquiring New Categories by Self Data Gathering with Bayesian Attractor Model. - Tatsuya Otoshi; Shin'ichi Arakawa; Masayuki Murata 001; Kai Wang; Takeo Hosomi; Toshiyuki Kanoh (ICHMS, 2020)

Non-parametric Decision-Making by Bayesian Attractor Model for Dynamic Slice Selection. - Tatsuya Otoshi; Shin'ichi Arakawa; Masayuki Murata 001; Takeo Hosomi (GLOBECOM, 2021)

Flexible Updating of Attractors in Virtual Network Topology Control with Bayesian Attractor Model. - Tatsuya Otoshi; Shin'ichi Arakawa; Masayuki Murata 001; Kai Wang; Takeo Hosomi; Toshiyuki Kanoh (ICC, 2021)

A Network and Computing Resource Management Method based on Population Prediction in Mobile Networks. - Kohei Shiomoto; Tatsuya Otoshi; Masayuki Murata 001 (NoF, 2021)

Modeling of Cognitive Bias of Video Viewing Users Based on Quantum Decision Making. - Natsumi Nishizawa; Tatsuya Otoshi; Masayuki Murata 001 (ICOIN, 2022)

Choice-supportive bias affects video viewing experience: Subjective experiment and evaluation. - Daichi Kominami; Sayaka Nishide; Satoshi Nishimura; Tatsuya Otoshi; Masaaki Kurozumi; Daiki Fukudome; Masao Yamamoto; Masayuki Murata 001 (IWQoS, 2022)

Evolutionary Algorithm with Phenotype Diversity for Virtual Network Embedding. - Tatsuya Otoshi; Masayuki Murata 001 (ICNC, 2023)

Hierarchical Bayesian Attractor Model for Dynamic Task Allocation in Edge-Cloud Computing. - Tatsuya Otoshi; Masayuki Murata 001; Hideyuki Shimonishi; Tetsuya Shimokawa (ICNC, 2023)

Distributed Timeslot Allocation in mMTC Network by Magnitude-Sensitive Bayesian Attractor Model. - Tatsuya Otoshi; Masayuki Murata 001; Hideyuki Shimonishi; Tetsuya Shimokawa (NetSoft, 2023)

A novel network traffic prediction method based on a Bayesian network model for establishing the relationship between traffic and population. - Kohei Shiomoto; Tatsuya Otoshi; Masayuki Murata 001 (Ann. des Télécommunications, 2023)

Adaptive Network Slicing Control Method for Unpredictable Network Variations Using Quality-Diversity Algorithms. - Amato Otsuki; Daichi Kominami; Hideyuki Shimonishi; Masayuki Murata 001; Tatsuya Otoshi (CCNC, 2024)

Beamforming with Free Energy Principle under Hierarchical Codebook. - Tatsuya Otoshi; Masayuki Murata 001 (ICNC, 2024)

Distributed Beamforming by Multi-Agent Active Inference. - Tatsuya Otoshi; Masayuki Murata 001 (ICNC, 2024)

Power Efficient Edge-Cloud Cooperation by Value-Sensitive Bayesian Attractor Model. - Tatsuya Otoshi; Hideyuki Shimonishi; Tetsuya Shimokawa; Masayuki Murata 001 (INFOCOM (Workshops), 2024)

Predictive Beamforming With Active Inference in Hierarchical Codebooks. - Naoki Nishio; Tatsuya Otoshi; Masayuki Murata 001 (WiMob, 2024)

Adapting Topic Modeling for Network Behavior Analysis. - Hoang Thi Huong Giang; Kohei Shiomoto; Tatsuya Otoshi; Masayuki Murata 001 (HPSR, 2025)

Predictive Beamforming With Active Inference Under Continuous Time-Varying Channels. - Naoki Nishio; Tatsuya Otoshi; Masayuki Murata 001 (IEEE Access, 2025)

Coordinated multi-point by distributed hierarchical active inference with sensor feedback. - Tatsuya Otoshi; Masayuki Murata 001 (Comput. Networks, 2025)