Quantum Computing and AI for Real-Time Network Optimization in 6G

• Project/Area Number: 25K17606
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 21020:Communication and network engineering-related
• Research Institution: The University of Electro-Communications
• Principal Investigator: 李 傲寒 電気通信大学, 大学院情報理工学研究科, 助教 (50876810)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Granted (Fiscal Year 2025)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2027: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2026: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2025: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
• Keywords: 6G / Network Optimization / Quantum Computing / AI

Outline of Research at the Start

Four vital scientific questions [Q1, Q2, Q3, and Q4] are expected to be solved. [Q1] Real-time communication parameters optimization using quantum computing. [Q2] Fast AI-based network parameters estimation to achieve real-time network optimization. Based on [Q1] and [Q2], [Q3] Real-time network architecture optimization for AI considering the accuracy of the network parameters estimation and the requirements of the applications using quantum computing and AI techniques will be researched. Finally, [Q4] fast hyper-parameter tuning related to the solution of [Q3] will be derived.