The Meta Distribution of the SIR in Joint Communication and Sensing Networks
arxiv(2024)
摘要
In this paper, we introduce a novel mathematical framework for assessing the
performance of joint communication and sensing (JCAS) in wireless networks,
employing stochastic geometry as an analytical tool. We focus on deriving the
meta distribution of the signal-to-interference ratio (SIR) for JCAS networks.
This approach enables a fine-grained quantification of individual user or radar
performance intrinsic to these networks. Our work involves the modeling of JCAS
networks and the derivation of mathematical expressions for the JCAS SIR meta
distribution. Through simulations, we validate both our theoretical analysis
and illustrate how the JCAS SIR meta distribution varies with the network
deployment density.
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