Capacitance Model of Embedded Transciever for Intra-body Communication. - Yuki Hayashida; Ryo Sugiyama; Yusuke Ido; Akito Suzuki; Yasuaki Takizawa; Mitsuru Shinagawa; Yuichi Kado; Nozomi Haga (BODYNETS, 2014)

Noise Measurement via Human Body for intra-body communication. - Yuki Hayashida; Mari Hasegawa; Akito Suzuki; Mitsuru Shinagawa; Yuichi Kado; Nozomi Haga (BODYNETS, 2015)

Asymptotic velocity of a position-dependent quantum walk. - Akito Suzuki (Quantum Inf. Process., 2016)

Localization of a multi-dimensional quantum walk with one defect. - Toru Fuda; Daiju Funakawa; Akito Suzuki (Quantum Inf. Process., 2017)

Weak limit theorem for a nonlinear quantum walk. - Masaya Maeda; Hironobu Sasaki; Etsuo Segawa; Akito Suzuki; Kanako Suzuki (Quantum Inf. Process., 2018)

Spectral mapping theorem of an abstract quantum walk. - Etsuo Segawa; Akito Suzuki (Quantum Inf. Process., 2019)

Supersymmetry for chiral symmetric quantum walks. - Akito Suzuki (Quantum Inf. Process., 2019)

The Witten index for 1D supersymmetric quantum walks with anisotropic coins. - Akito Suzuki; Yohei Tanaka (Quantum Inf. Process., 2019)

Safe Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network Allocation. - Akito Suzuki; Shigeaki Harada (GLOBECOM, 2020)

Extendable NFV-Integrated Control Method Using Reinforcement Learning. - Akito Suzuki; Ryoichi Kawahara; Masahiro Kobayashi; Shigeaki Harada; Yousuke Takahashi; Keisuke Ishibashi (IEICE Trans. Commun., 2020)

Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network Allocation. - Akito Suzuki; Ryoichi Kawahara; Shigeaki Harada (ICCCN, 2021)

Multi-Agent Deep Reinforcement Learning for Cooperative Offloading in Cloud-Edge Computing. - Akito Suzuki; Masahiro Kobayashi (ICC, 2022)

Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network Allocation With Traffic Fluctuations. - Akito Suzuki; Ryoichi Kawahara; Shigeaki Harada (IEEE Trans. Netw. Serv. Manag., 2022)

Optimal VNF Scheduling for Minimizing Duration of QoS Degradation. - Masayoshi Iwamoto; Akito Suzuki; Masahiro Kobayashi (CCNC, 2023)

Deep Reinforcement Learning Based Antenna Selection for Cell Outage Compensation. - Masayoshi Iwamoto; Akito Suzuki; Masahiro Kobayashi (ICC, 2023)

Always-Connected Enablement Base Station to eliminate the effects of RRC transitions delay. - Takeo Ogawara; Kenichi Okonogi; Akito Suzuki; Masayuki Kurata; Sohei Itahara; Tomoyuki Nagano; Masaki Suzuki (VTC Fall, 2023)

Multi-Agent Deep Reinforcement Learning for Cooperative Computing Offloading and Route Optimization in Multi Cloud-Edge Networks. - Akito Suzuki; Masahiro Kobayashi; Eiji Oki (IEEE Trans. Netw. Serv. Manag., 2023)

Cooperative Task Offloading for Multi-Access Edge-Cloud Networks: A Multi-Group Multi-Agent Deep Reinforcement Learning. - Akito Suzuki; Masahiro Kobayashi; Eiji Oki (ICCCN, 2024)

Optimizing Availability Decomposition for Network Slicing using Bandit Algorithms. - Masaki Kobayashi; Akito Suzuki; Masahiro Kobayashi (ICCCN, 2025)

Toward Sustainable 6G Cellular System Core-Network-Level Traffic Aggregation: An Empirical Study. - Takeo Ogawara; Sohei Itahara; Akito Suzuki; Masaki Suzuki (IEEE Access, 2025)