【文件名称】AI-for-6G.pdf

【页数】22页

【内容简介】
Table of contents
2
1 Driving forces of 6G native AI
3 6G and Foundation Model
2 6G native AI architecture design
and key features
Demand for Ubiquitous Intelligence
3
AI has become the core driving force for a new round of industrial transformation. The
automation, digitalization and intelligence of the industry require ubiquitous intelligence.
The integration of 6G and AI includes two aspects: "AI for Networks"
and “Networks for AI"
Operation & maintenance
Emergency communication
Smart coverage Customized network
Machine translation
Smart Navigation Personalized Recommend.
Security monitor
Robot rescue Smart Manufacturing
Voiceprint recognition Medical Recognition
Network autonomy needs AI Customers need AI Business needs AI
4
More accurate channel
information
More precise positioning
Enhanced interference
cancellation capabilities
Enhanced energy efficiency,
spectral capacity
More balanced traffic
scheduling
Faster networking
interference avoidance
More refined business
identification
More accurate fault location
Difficulty in estimating larger scale
MIMO channels
Dense base station deployment leads
to increased interference
More complex system designs lead to
increased energy consumption
Complex routing in heterogeneous
equipment networks
Diverse communication scenario
requirements are fragmented
Improved scene adaptation
speed
The Driving Force of AI for Networks
Mobile communication technology faces bottlenecks, requiring urgent technological innovation