研究業績リスト
ジャーナル論文 - rm_published_papers: International Conference Proceedings
Power Distribution Optimization in MU-MIMO Using Spherical Wave Function Expansion
公開済 10/2025
2025 International Symposium on Nonlinear Theory and Its Applications
ジャーナル論文 - rm_published_papers: International Conference Proceedings
(DEMO) Deep Reinforcement Learning Based Resource Allocation in Distributed IoT Systems
公開済 10/2025
IEEE CIoT (8th Conference on Cloud and Internet of Things)
会議発表プレゼンテーション
A Differential Privacy Method Using Homomorphic Encryption in Federated Learning
公開済 11/09/2025
IEICE Society Conference, 08/09/2025–12/09/2025
会議発表プレゼンテーション
A Differential Privacy Method Using Homomorphic Encryption in Federated Learning
公開済 08/09/2025
IEICE GlobalNet Workshop 2025, 08/09/2025–12/09/2025
ジャーナル論文 - rm_published_papers: Scientific Journal
公開済 12/08/2025
Sensors, 25, 16, 4996 - 4996
The rapid growth of Long Range (LoRa) devices has led to network congestion, reducing spectrum and energy efficiency. To address this problem, we propose an energy-efficient reinforcement learning method for distributed LoRa networks, enabling each device to independently select appropriate transmission parameters, i.e., channel, transmission power (TP), and bandwidth (BW) based on acknowledgment (ACK) feedback and energy consumption. Our method employs the Upper Confidence Bound (UCB)1-tuned algorithm and incorporates energy metrics into the reward function, achieving lower power consumption and high transmission success rates. Designed to be lightweight for resource-constrained IoT devices, it was implemented on real LoRa hardware and tested in dense network scenarios. Experimental results show that the proposed method outperforms fixed allocation, adaptive data rate low-complexity (ADR-Lite), and ϵ-greedy methods in both transmission success rate and energy efficiency.
ジャーナル論文 - rm_published_papers: Scientific Journal
Prototype-wise momentum-based federated contrast learning
公開済 07/2025
Journal of Information and Intelligence
ジャーナル論文 - rm_published_papers: Scientific Journal
公開済 01/04/2025
IEEE Internet of Things Journal, 12, 7, 9218 - 9237
その他
Quantum Computing and AI for Real-Time Network Optimization in 6G
作成日時 04/2025–03/2028
Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research, Category: Grant-in-Aid for Early-Career Scientists, Fund Type: -, Overall Grant Amount: - (direct: 3700000, indirect: 1110000)
会議発表プレゼンテーション
Channel Selection Method Based on Deep Reinforcement Learning in LoRa Networks
公開済 24/03/2025
IEICE GlobalNet Workshop 2025
会議発表プレゼンテーション
Channel Selection Method Based on Deep Reinforcement Learning in LoRa Networks
公開済 24/03/2025
IEICE General Conference