Embodied communication formalizes RF sensing as a channel for state distinguishability, deriving reliability fields, lattice codebooks, ε-capacity bounds, and an optimal sensing-duration tradeoff.
Radar-assisted predictive beamforming for vehicular links: Communication served by sensing
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An elastic network topology for distributed ISAC dynamically aggregates cell-centric networks into cell-free ones and uses multi-agent deep reinforcement learning to maximize a utility-to-signaling ratio by optimizing service classification and resource allocation.
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Embodied Communication: Sensing-Induced Reliability Fields and Capacity Bounds
Embodied communication formalizes RF sensing as a channel for state distinguishability, deriving reliability fields, lattice codebooks, ε-capacity bounds, and an optimal sensing-duration tradeoff.
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Learning-Enabled Elastic Network Topology for Distributed ISAC Service Provisioning
An elastic network topology for distributed ISAC dynamically aggregates cell-centric networks into cell-free ones and uses multi-agent deep reinforcement learning to maximize a utility-to-signaling ratio by optimizing service classification and resource allocation.