AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A methodology that places a 3D digital twin of the environment as the main enabler behind the development of radio sensing at scale, and advocates training or fine-tuning local models specialized to a site-specific DT.
The results show that heterogeneous embedding spaces are not universally related by simple mappings as often suggested in some literature.
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