The Poisson point process (PPP) is not always a realistic model for the locations of vehicles along a road, because it does not account for the safety distance a driver maintains from the vehicle ahead. In this article, we model the inter-vehicle distance equal to the sum of a constant hardcore distance and a random distance following the exponential distribution. Unfortunately, the probability generating functional of this point process is unknown. To approximate the Laplace transform of interference at the origin, we devise simple approximations for the variance and skewness of interference, and we select suitable probability functions to model the interference distribution. When the coefficient-of-variation and the skewness of interference distribution are high, the PPP (of equal intensity) approximation of the outage probability becomes loose in the upper tail. Relevant scenarios are associated with urban microcells and highway macrocells with a low density of vehicles. The predictions of PPP deteriorate with a multi-antenna maximum ratio combining receiver and temporal indicators related to the performance of retransmission schemes. Our approximations generate good predictions in all considered cases.
|Number of pages||10|
|Journal||IEEE Transactions on Intelligent Transportation Systems|
|Early online date||23 Sep 2020|
|Publication status||Published - 9 Mar 2022|
Bibliographical noteFunding Information:
This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) for the project Spatially Embedded Networks under Grant EP/N002458/1.
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