Yuichi Kawamoto

Assistant Professor

Tohoku University

Japan

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Yuichi Kawamoto is an Assistant Professor at Tohoku University in Japan. His research primarily focuses on advanced communication technologies, including hybrid FSO/RF systems, THz multi-access points, and intelligent reflecting surfaces in satellite networks. Recent publications highlight his work on optimization techniques and machine learning applications in network deployment and performance enhancement.

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2025

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2022

Collaborators (3)

Yishi Zhu

Assistant Professor

Tohoku University

JAPAN

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Hiroaki Hashida

Tohoku University

JAPAN

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Kazuto Yano

Head of Department

Electronics and Telecommunications Research Institute

JAPAN

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Yuichi Kawamoto

Research Interests

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About

Articles (20)

Enhancing Indoor THz Multi-AP Joint Transmission With IRS: A Clustering and Kalman Filtering Approach for Mobile User

Deep Q-Learning-Driven Frequency Prism Beamforming With Delay-Adjustable IRS in LEO Satellite Networks

Mathematical Modeling and Deployment Optimization: Intelligent Reflecting Surface-aided Communications Under Partial Blockages

Spectral-Efficient Dynamic User Association in LEO Satellite Constellation-HAPS Cooperative Networks

Combined Control of Coverage Area and HAPS Deployment in Hybrid FSO/RF SAGIN

Channel Estimation Overhead Reduction and AP/IRS Allocation Optimization in Joint Transmission-Enabled WLAN

Prediction-Based Link Selection With Machine Learning in HAP-Assisted FSO Networks

An Efficient Beam Searching in Hybrid Intelligent Reflecting/Refracting Surfaces (IRS)-Aided mmWave 6G Network

Interference Suppression in HAPS-Based Space-Air-Ground Integrated Networks Using a Codebook-Based Approach

Simultaneous Multiple Connections and Increased Frequency Efficiency Using Beam Squint Approach for IRS-Based Communication

Standalone-Intelligent Reflecting Surface Control Method Using Hierarchical Exploration by Beamwidth Expansion and Environment-Adaptive Codebook

Quantum Computing Based Optimization for Intelligent Reflecting Surface (IRS)-Aided Cell-Free Network

A Novel Routing Control Method Using Federated Learning in Large-Scale Wireless Mesh Networks

HAPS-Based Interference Suppression through Null Broadening with Directivity Control in Space-Air-Ground Integrated Networks

Machine Learning-based Infrastructure Sharing and Shared Operations for Intelligent Reflecting Surface-aided Communications

Resource Allocation Optimization by Quantum Computing for Shared Use of Standalone IRS

Selective Reflection Control: Distributed IRS-Aided Communication With Partial Channel State Information

UAV-Aided Information Diffusion for Vehicle-to-Vehicle (V2V) in Disaster Scenarios

A Smart Internet-Wide Port Scan Approach for Improving IoT Security Under Dynamic WLAN Environments

Improvement of Battery Lifetime Based on Communication Resource Control in Low-Earth-Orbit Satellite Constellations

Collaborators (3)

Yishi Zhu

Hiroaki Hashida

Kazuto Yano

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