Empowered Machine Learning schemes for RIS aided SWIPT systems in 6G Networks

• Project/Area Number: 25K07743
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 21020:Communication and network engineering-related
• Research Institution: Institute of Physical and Chemical Research
• 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)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Granted (Fiscal Year 2025)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2027: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2026: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000); Fiscal Year 2025: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
• Keywords: SWIPT / RIS

Outline of Research at the Start

This project develops adaptive ML for RIS-aided SWIPT in B5G/6G, boosting info rate and energy transfer amid interference, enabling smart buildings, wearables, and medical implants.