Develops a fluid model for non-stationary spatial networks by coupling Lagrangian transport with Eulerian geometry via optimal transport to derive information flux and kinematic predictors.
A tractable approach to coverage and rate in cellular networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Stochastic geometry analysis of Rydberg quantum receiver arrays shows performance advantage over conventional receivers in sparse deployments that reverses in dense deployments due to nonlinearity.
citing papers explorer
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Fluid-Spatiotemporal Stochastic Geometry: Information Flow in Non-Stationary Fields
Develops a fluid model for non-stationary spatial networks by coupling Lagrangian transport with Eulerian geometry via optimal transport to derive information flux and kinematic predictors.
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Coverage Analysis of Rydberg Atom Quantum Receiver Arrays: A Stochastic Geometry Approach
Stochastic geometry analysis of Rydberg quantum receiver arrays shows performance advantage over conventional receivers in sparse deployments that reverses in dense deployments due to nonlinearity.