Technical Name RIS-Assisted AI-Native 6G RAN Communication System: Transforming Wide-Area Connectivity in Smart Cities
Project Operator National Chung Cheng University
Project Host 連紹宇
Summary
Our AI-native 6G RAN system with RIS and AI integration optimizes smart city wide-area connectivity. RIS enhances signal coverage and quality, while the 6G RAN RIC uses AI/ML for real-time network adaptation. The system improves coverage, communication quality, and energy efficiency, providing robust support for smart city development.
Scientific Breakthrough
This research pioneered the integration of RIS and AI-native 6G RAN, focusing on large-scale RIS implementation, AI-native RAN architecture, network resource optimization. The system adapts to the communication environment in real-time, tracks users dynamically, supports multi-user access, and enhances security. Tests show significant improvements in communication quality (RSRP+15dB, RSRQ+5dB, SINR+17dB, throughput+50%) and energy-saving effects (coverage+30%, power consumption reduced to 1/10).
Industrial Applicability
RIS-assisted AI-native 6G RAN technology provides an innovative, low-cost, and eco-friendly solution for 6G mobile communications, addressing high construction and maintenance costs. It reduces power consumption (30%-90%) and carbon emissions while enhancing communication quality and system capacity. This technology promotes smart city development by offering efficient, reliable, and secure wide-area connectivity support for applications such as smart transportation, healthcare, and energy.
Keyword 6G wireless mobile communication Open Radio Access Network (O-RAN) Reconfigurable Intelligent Surface (RIS) AI-native Beam scanning smart radio environment (SRE) Sustainable development Green environment High-performance network architecture artificial intelligence
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  • TING-HAO SHIH