| Project/Area Number |
21K14162
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 21020:Communication and network engineering-related
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| Research Institution | Institute of Physical and Chemical Research |
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Principal Investigator |
Hashima Sherief 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員 (00865462)
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2022: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2021: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | D2D Communications / millimeter Wave (mmWave) / Radio frequency (RF) / Multi-armed bandit (MAB) / Metaverse / Thompson sampling (TS) / UAV / V2X communications / RIS / Bandits / mmWave / V2X Communications / Over the air updates / UAV-mounted RIS / RIS relaying / Hybrid band RF/VLC / Load Balancing / MAB / PHE / RUCB, ETC / millimeter wave (mmWave) / radio frequency (RF) / multi-armed bandit (MAB) / UCB / MOSS / WSNs / B5G / 6G / ML / D2D |
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| Outline of Research at the Start |
we develop combinatorial online ML algorithms to overcome mmWave D2D network problems to increase the efficiency and reliability of these networks. We propose novel online prediction methods for spectrum sensing/sharing in mmWave cognitive radio communications and mmWave interference mitigation to ease its deployment at highly dense scenarios. we implement different configurations of mmWave networks using commercial WiGig devices to assure the proposed ML schemes' validity and scalability in real scenarios.
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| Outline of Final Research Achievements |
In this project, we modeled mathematical formulations for different wireless communication scenarios using online learning algorithms including Neighborhood discovery and selection in millimeter wave D2D communications, Gateway UAV selection in disaster area scenario, RIS aided mmWave Communications, UAV mounted RIS, Multiband wireless networks, V2X over the air updates, and V2X metaverse content updates. We leverged various types of multi armed bandits to these scenarios and modified it to be energy aware. The Utilized Bandit solutions showed near optimal performance and fast convergence rate in various settings due to proper selection and their unique learning policy. As a proof of concept we conducted experimental setup to memic the scenario of over the air updates using smart road side units.
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| Academic Significance and Societal Importance of the Research Achievements |
Thr project contributes to fullfilling the requirments of advanced communication technology(6G) with effective energy aware performance. The project also has social impact in disaster relief as it ensured reliable communications in challenging environments. Also,it contributes to autonomus vehicles
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