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.
Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 3verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
ML angle estimation performance in beamspace MIMO sensing is governed by minimum subspace distance and beam gain, with new Golomb-ruler-based subspace codes achieving near-optimal distance and enabling hardware-efficient sensing.
In a radio stripe ISAC system, dedicating more units to sensing improves target localization precision at the cost of lower communication sum rates, with sum rate depending only on the count of communication units and antenna count showing non-monotonic sensing effects due to array gain versus area-
citing papers explorer
-
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.
-
New Insights into Channel vs Subspace Codes for Large-Scale Beamspace MIMO Channel Sensing
ML angle estimation performance in beamspace MIMO sensing is governed by minimum subspace distance and beam gain, with new Golomb-ruler-based subspace codes achieving near-optimal distance and enabling hardware-efficient sensing.
-
Radio Stripe-Based Distributed ISAC System with Dynamic Sensing-Communication Reconfiguration
In a radio stripe ISAC system, dedicating more units to sensing improves target localization precision at the cost of lower communication sum rates, with sum rate depending only on the count of communication units and antenna count showing non-monotonic sensing effects due to array gain versus area-