Akito Suzuki

According to our database, Akito Suzuki authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Cooperative Task Offloading for Multi-Access Edge-Cloud Networks: A Multi-Group Multi-Agent Deep Reinforcement Learning.

Akito Suzuki, Masahiro Kobayashi, Eiji Oki

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

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., December, 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

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Deep Reinforcement Learning Based Antenna Selection for Cell Outage Compensation.

Masayoshi Iwamoto, Akito Suzuki, Masahiro Kobayashi

Proceedings of the IEEE International Conference on Communications, 2023

Optimal VNF Scheduling for Minimizing Duration of QoS Degradation.

Masayoshi Iwamoto, Akito Suzuki, Masahiro Kobayashi

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

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

Multi-Agent Deep Reinforcement Learning for Cooperative Offloading in Cloud-Edge Computing.

Akito Suzuki, Masahiro Kobayashi

Proceedings of the IEEE International Conference on Communications, 2022

2021

Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network Allocation.

Akito Suzuki, Ryoichi Kawahara, Shigeaki Harada

Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

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

Safe Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network Allocation.

Akito Suzuki, Shigeaki Harada

Proceedings of the IEEE Global Communications Conference, 2020

2019

The Witten index for 1D supersymmetric quantum walks with anisotropic coins.

Akito Suzuki, Yohei Tanaka

Quantum Inf. Process., 2019

Supersymmetry for chiral symmetric quantum walks.

Akito Suzuki

Quantum Inf. Process., 2019

Spectral mapping theorem of an abstract quantum walk.

Etsuo Segawa, Akito Suzuki

Quantum Inf. Process., 2019

2018

Weak limit theorem for a nonlinear quantum walk.

Masaya Maeda, Hironobu Sasaki, Etsuo Segawa, Akito Suzuki, Kanako Suzuki

Quantum Inf. Process., 2018

2017

Localization of a multi-dimensional quantum walk with one defect.

Toru Fuda, Daiju Funakawa, Akito Suzuki

Quantum Inf. Process., 2017

2016

Asymptotic velocity of a position-dependent quantum walk.

Akito Suzuki

Quantum Inf. Process., 2016

2015

Noise Measurement via Human Body for intra-body communication.

Yuki Hayashida, Mari Hasegawa, Akito Suzuki, Mitsuru Shinagawa, Yuichi Kado, Nozomi Haga

Proceedings of the 10th EAI International Conference on Body Area Networks, 2015

2014

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

Proceedings of the 9th International Conference on Body Area Networks, 2014