August 2026
Intermediate
368 pages
8h 6m
English
Content preview from AI Powered Digital Twins
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Chapter 10 Communication Networks and Graphs
Communication networks are the circulatory system of AI-powered digital twins. Physical connectivity—fiber-optic cables, cellular networks, or radio-frequency links—carries signals from the real world to the twin. Information networks—protocols and data routing systems—shape how digital twins perceive the world and act on it.
Some communities speak the language of networks, others of graphs. To me, we model networks as graphs with nodes and edges. Communication networks move bits. Graphs provide a semantic, relational, and causal model that structures how the twin represents the world, how AI systems derive meaning, and how reasoning propagates across the system.
This chapter explores the engineering of communication networks and graph models and how they work together within digital twins.
Physical Communication Networks: Fiber, Spectrum, mmWave, and Mid-band
Digital twins depend on high-quality communication channels to maintain accurate, timely reflections of physical systems. Fiber-optic networks provide the highest bandwidth and lowest latency. Fiber transmits signals at near speed of light through glass. This transmission is immune to electromagnetic interference, and capable of multi-terabit throughput. For most real-time digital twin applications, fiber remains the gold standard.
Wireless networks fill the gaps where fiber cannot reach or is impractical due to cost. Mid-band spectrum (e.g. 3–6 GHz) offers balanced coverage ...
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