Submitted to IEEE Transactions on Communications, February 2025
An emerging concept in sixth-generation mobile networks is Joint Communication and Sensing (JCAS), which offers a unified approach to communication and sensing tasks.
In this paper, we present a novel mathematical framework for evaluating the performance of JCAS wireless networks, utilizing stochastic geometry as an analytical tool. Our focus is on deriving the meta distribution of the signal-to-noise-plus-interference ratio
(SINR) for JCAS networks. This approach provides a detailed quantification of individual user or radar performance within these networks. Our contributions include the modeling of JCAS networks and the derivation of mathematical expressions for the JCAS SINR meta distribution. Through simulations, we validate our theoretical analysis and demonstrate how the JCAS SINR meta distribution is influenced by factors such as antenna patterns, blockages, and network deployment density.
Type:
Journal
Date:
2025-02-04
Department:
Communication systems
Eurecom Ref:
8055
Copyright:
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