The Meta Distribution of the SIR in Linear Motorway VANETs
arXiv:1903.10933 · doi:10.1109/TCOMM.2019.2940659
Abstract
The meta distribution of the signal-to-interference-ratio (SIR) is an important performance indicator for wireless networks because, for ergodic point processes, it describes the fraction of scheduled links that achieve certain reliability, conditionally on the point process. The calculation of the moments of the meta distribution requires the probability generating functional (PGFL) of the point process. In vehicular ad hoc networks (VANETs) along high-speed motorways, the Poisson point process (PPP) is a poor deployment model, because the drivers, due to the high speeds, maintain large safety distances. In this paper, we model the distribution of inter-vehicle distance equal to the sum of a constant hardcore distance and an exponentially distributed random variable. We design a novel \emph{discretization model} for the locations of vehicles which can be used to approximate well the PGFL due to the hardcore point process and the meta distribution of the SIR generated from synthetic motorway traces. On the other hand, the PPP overestimates significantly the coefficient-of-variation of the meta distribution due to the hardcore process, and its predictions fail. In addition, we show that the calculation of the meta distribution becomes especially meaningful in the upper tail of the SIR distribution.
arXiv commentto be published
References in corpus (5)
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- Outage in Motorway Multi-Lane VANETs with Hardcore Headway Distance Using Synthetic Traces
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Cited by in corpus (5)
- Cox Models for Vehicular Networks: SIR Performance and Equivalence
- The Transdimensional Poisson Process for Vehicular Network Analysis
- Outage in Motorway Multi-Lane VANETs with Hardcore Headway Distance Using Synthetic Traces
- Connectivity of 1d random geometric graphs
- On the Nearest-Neighbor Path Distance from the Typical Intersection in the Manhattan Poisson Line Cox Process