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Rethinking Dense Cells for Integrated Sensing and Communications: A Stochastic Geometric View

Abdelhamid SalemChristos MasourosFan LiuDavid L\'opez-P\'erez
Dec 2022
摘要
The inclusion of the sensing functionality in the coming generations ofcellular networks, necessitates a rethink of dense cell deployments. In thispaper, we analyze and optimize dense cell topologies for dual-functionalradar-communication (DFRC) cellular networks. With the aid of tools fromstochastic geometry, we derive new analytical expressions of the potentialspectral efficiencies in (bit/sec/m^{2}) of radar and communication systems.Based on the new formulations of the potential spectral efficiencies, theenergy efficiency (bit/Joule) of DFRC systems is provided in a tractableclosed-form formula. Then, an optimization problem to obtain the optimal basestation (BS) density that maximizes the network-level energy efficiency isformulated and investigated. In this regard, the mathematical expression of theenergy efficiency is shown to be a uni-modal and concave function in thedensity of the BSs. Therefore, optimal density of the BSs that maximizes theenergy efficiency can be obtained. Our analytical and numerical resultsdemonstrate that the inclusion of the sensing functionality clearlydifferentiates the optimal BS topologies for the DFRC systems against classicalcommunication-only systems.
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