In this letter, we emulate real-world statistics for mobility patterns on road systems. We then propose modifications to the assumptions of the random waypoint (RWP) model to better represent high-mobility profiles. We call the model under our new framework as RWP+. Specifically, we show that the lengths of the transitions which constitute a trip, are best represented by a lognormal distribution, and that the velocities are best described by a linear combination of normal distributions with different mean values. Compared to the assumptions used in the literature for mobile cellular networks, our modeling provides mobility metrics, such as handoff rates, that better characterize actual emulated trips from the collected statistics.
@article{arxiv.2109.05978,
title = {RWP+: A New Random Waypoint Model for High-Speed Mobility},
author = {Hussein A. Ammar and Raviraj Adve and Shahram Shahbazpanahi and Gary Boudreau and Kothapalli Venkata Srinivas},
journal= {arXiv preprint arXiv:2109.05978},
year = {2021}
}