Publication

[Journal Papers]

1. M. Kobayashi, H. Nakayama, N. Ansari, and N. Kato, "Robust and Efficient Stream Delivery for Application Layer Multicasting in Heterogeneous Networks," IEEE Trans. Multimedia, vol. 11, no. 1, pp. 166-176, Jan. 2009.
2. M. Kobayashi, H. Nakayama, N. Ansari, and N. Kato, "Reliable Application Layer Multicast over Combined Wired and Wireless Networks," IEEE Trans. Multimedia, vol. 11, no. 8, pp. 1466-1477, Dec. 2009.
3. A. Suzuki, R. Kawahara, M. Kobayashi, Y. Takahashi, S. Harada, and K. Ishibashi, "Extendable NFV-Integrated Control Method Using Reinforcement Learning," IEICE Trans. Communications, vol. E103-B, no. 8, pp. 826-841, Aug. 2020.
4. K. Hatanaka, T. Kimura, Y. Komai, K. Ishibashi, M. Kobayashi, and S.　Harada, "Extraction and prediction of user communication behaviors from DNS query logs based on nonnegative tensor factorization," IEEE Trans. Network and Service Management，Jan. 2023.
5. A. Suzuki, M. Kobayashi, and E. Oki, " Multi-Agent Deep Reinforcement Learning for Cooperative Computing Offloading and Route Optimization in Multi Cloud-Edge Networks," IEEE Trans. Network and Service Management, Apr. 2023.

[International Conference/Workshop Presentations]

1. M. Kobayashi, H. Nakayama, N. Ansari, and N. Kato, "NHAG: Network-aware Hierarchical Arrangement Graph for Application Layer Multicast in Heterogeneous Networks," in Proc. IEEE Global Telecommunications Conference (Globecom), Nov. 2007, pp. 1993-1997.
2. M. Kobayashi, R. Matsumura, T. Kimura, T. Tsuchiya, and K. Noritake, "Virtual Network Embedding Under Multiple Control Policies," NetCentric, Oct. 2016.
3. A. Suzuki, M. Kobayashi, Y. Takahashi, S. Harada, K. Ishibashi, and R. Kawahara, "Extendable NFV-Integrated Control Method Using Reinforcement Learning," in Proc. IEEE International Conference on Communications (ICC), pp. 1-7, May 2018.
4. A. Suzuki and M. Kobayashi, "Multi-Agent Deep Reinforcement Learning for Cooperative Offloading in Cloud-Edge Computing," in Proc. IEEE International Conference on Communications (ICC), pp. 3660-3666, May 2022.
5. M. Iwamoto, A. Suzuki, and M. Kobayashi, "Optimal VNF Scheduling for Minimizing Duration of QoS Degradation," in Proc. IEEE Consumer Communications & Networking Conference (CCNC), pp. 855-858, Jan. 2023.
6. M. Iwamoto, A. Suzuki, and M. Kobayashi, "Deep Reinforcement Learning based Antenna Selection for Cell Outage Compensation" in Proc. IEEE International Conference on Communications (ICC), May 2023.

[Others]

1. K. Kawakami, M. Kobayashi, K. Yogo, K. Okuda, M. Sekiguchi, T. Kurahashi, S. Arai, T. Tsuchiya, and N. Shirai, "Network Control Technology to Realize the NetroSphere Concept," NTT Technical Review, vol. 14, no. 10, Oct. 2016.
2. T. Moriya, A. Yoshida, Y. Ito, M. Kobayashi, S. Harada, and S. Horiuchi, "MOOSIA: Technology for One-stop Operation," NTT Technical Review, vol. 16, no. 6, June 2018.
3. K. Yamagoe, M. Nishio, M. Kobayashi, S. Harada, and H. Nozue, "Intelligent Zero-touch Operation," NTT Technical Review, vol. 18, no. 6, June 2020.
4. K. Yamagishi, M. Kobayashi, S. Horiuchi, and K. Tayama, “Intent AI Mediator (Mintent) for High-satisfaction-level Services,” NTT Technical Review, vol. 20, no. 9, Sept. 2022.
5. T. Kawano and M. Kobayashi, “Intent-based Application and Network Cooperative Control Technology for Video-streaming Services,” NTT Technical Review, vol. 20, no. 9, Sept. 2022.