An optimal convex-reformulated power control algorithm is derived for signal-level integrated sensing, computing and communication in AirComp-based federated learning under a joint target detection constraint.
Integrated sensing, communication, and computation for over-the-air federated learning in 6G wireless networks,
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AI and terahertz networks form a mutual symbiosis where each addresses the limitations of the other across hardware, physical layer, protocols, and services.
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Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
An optimal convex-reformulated power control algorithm is derived for signal-level integrated sensing, computing and communication in AirComp-based federated learning under a joint target detection constraint.
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When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks
AI and terahertz networks form a mutual symbiosis where each addresses the limitations of the other across hardware, physical layer, protocols, and services.