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RAN! Reinforcing Autonomous Network: AI-empowered digital twin for optimization

URN C24.5.728
Topics 5G, AI (Artificial Intelligence), Digital twin

Creating the future of mobile network optimization.

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This project uses innovative technologies such as high-fidelity digital twin simulation, a multi-modal parameter optimization agent, an intelligent beam optimization algorithm, and a realistic network simulation algorithm to enhance wireless network performance, user experience, and operational efficiency while reducing costs and risks. Key innovations include: 1. High-Fidelity Digital Twin Simulation: Accurately maps real-time network performance to predict future network states and performance trends. 2. Multi-Modal Parameter Optimization Agent: Integrates heterogeneous data to optimize network parameters in real-time. 3. MAMO-RL Beam Optimization: Dynamically adjusts 5G beam direction using reinforcement learning for improved coverage and traffic distribution. 4. PCI MOD90 Simulation Optimization: Minimizes interference through advanced modeling and optimization algorithms. The project will significantly improve network performance, user satisfaction, and O&M efficiency, providing a valuable reference for future network development.

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China Mobile Communications Corporation logo
Champion
China Telecommunications Corporation logo
Champion
Huawei Technologies Co. Ltd logo
OSSEra logo
Primforce Technologies Ltd. logo
PT Telekomunikasi Selular logo
Champion

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