RWP+: A New Random Waypoint Model for High-Speed Mobility

09/13/2021
by   Hussein A. Ammar, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/07/2020

Stochastic Geometry Analysis of Sojourn Time in Multi-Tier Cellular Networks

Impact of mobility will be increasingly important in future generation w...
research
05/07/2018

Mobility-Aware Analysis of 5G and B5G Cellular Networks: A Tutorial

Providing network connectivity to mobile users is a key requirement for ...
research
06/30/2020

Investigating the Effects of Mobility Metrics in Mobile Ad Hoc Networks

Mobile Ad Hoc Networks (MANETs) are formed by a collection of mobile nod...
research
02/16/2020

Handover Probability in Drone Cellular Networks

This letter analyzes the handover probability in a drone cellular networ...
research
03/29/2017

Spaceprint: a Mobility-based Fingerprinting Scheme for Public Spaces

In this paper, we address the problem of how automated situation-awarene...
research
01/15/2021

Variable Petri Nets for Mobility

Mobile computing systems, service-based systems and some other systems w...
research
01/05/2023

Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions

Domain-wide recognized by their high value in human presence and activit...

Please sign up or login with your details

Forgot password? Click here to reset