Megumi Kaneko

International Research Center for Japanese Studies — Japan

Engineering · Physical Sciences

20h-index1.5kcitations201works1.82yr avg
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Research Topics

Advanced MIMO Systems Optimization(99), Cooperative Communication and Network Coding(55), Energy Harvesting in Wireless Networks(33), Advanced Wireless Network Optimization(33), Advanced Wireless Communication Technologies(30)

Publications201 total

Energy-Aware Pruning for Federated Deep Reinforcement Learning in Multi-Interface IoT Networks
IEEE Internet of Things Journal·2025
Context-Aware Rate Adaptation for Predictable Flying Networks Using Contextual Bandits
IEEE Networking Letters·2025· 1 cited
Multi-Agent Deep Reinforcement Learning-Based Uplink Power Control in Cell-Free Massive MIMO With Mobile Users
IEEE Transactions on Vehicular Technology·2025· 1 cited
Covert Communications by Encoding UAV Motion States: Joint Design of Codebook and Controller
2025
Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation
IEEE Transactions on Green Communications and Networking·2025· 2 citedOpen Access
Enhancing the Uplink of Cell-Free Massive MIMO through Prioritized Sampling and Personalized Federated Deep Reinforcement Learning
IEEE Transactions on Cognitive Communications and Networking·2025· 1 citedOpen Access
Context-aware Rate Adaptation for Predictive Flying Networks using Contextual Bandits
arXiv (Cornell University)·2025Open Access
Fairness-Aware Demodulator Allocation in LoRa Multi-Gateway Networks
IEEE Networking Letters·2025· 1 citedOpen Access
LEO Satellite Beam Hopping for Power Consumption Minimization at Different Elevation Angles
IEEE Open Journal of the Communications Society·2025Open Access
Impact of Elevation Angle on Multi-Beam LEO Satellite Communication Systems
IEEE Access·2025· 7 citedOpen Access
Joint Channel Bandwidth Assignment and Relay Positioning for Predictive Flying Networks
2024· 1 cited
Exploiting Beam Split-Based Multi-User Diversity in Terahertz MIMO-OFDM Systems
IEEE Wireless Communications Letters·2024· 6 cited
Smart Band Association for Wireless IoT Networks: a Personalized Federated Multi-Agent Deep Reinforcement Learning Approach
2024· 2 cited
Federated Multiagent Deep Reinforcement Learning for Intelligent IoT Wireless Communications: Overview and Challenges
IEEE Vehicular Technology Magazine·2024· 5 cited
A Multi-Agent Risk-Averse Reinforcement Learning Method for Reliability Enhancement in Sub-6GHz/mmWave Mobile Networks
IEEE Wireless Communications Letters·2024· 3 cited
A Risk-Averse Outage Probability Minimization Method for RIS-Aided RSMA Systems
IEEE Networking Letters·2024
Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation
arXiv (Cornell University)·2024· 1 citedOpen Access
A Risk-Averse Outage Probability Minimization Method for RIS-Aided RSMA Systems
2024Open Access
Accelerated Deep Reinforcement Learning for Uplink Power Control in a Dynamic Cell-Free Massive MIMO Network
IEEE Wireless Communications Letters·2024· 3 citedOpen Access
User Grouping and Switch Network Optimization for Energy-Efficient Multi-User Terahertz Communications
2023· 1 cited
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Frequent Co-authors

Kazunori Hayashi(14), Hideaki Sakai(11), Petar Popovski(9), Lila Boukhatem(7), Nancy El Rachkidy(6), Thi Ha Ly Dinh(5), Alexandre Guitton(4), Itsikiantsoa Randrianantenaina(3), Hayssam Dahrouj(3), Hesham ElSawy(3), Mohamed‐Slim Alouini(3), Toshihiko Nakano(3), Reben Kurda(3), Keisuke Wakao(3), Hirantha Abeysekera(3), Yasushi Takatori(3), Alexre Guitton(2), Joachim Dahl(2), Ryo Hayakawa(2), Takefumi Hiraguri(2)