3GPP-Mobility-Drones

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3GPP-Mobility-Drones

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MATLAB codes for the paper "3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network".

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# 3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network

## MATLAB scripts and functions.

### Authors: Morteza Banagar and Harpreet S. Dhillon

### Emails: mbanagar@vt.edu and hdhillon@vt.edu

This repository contains matlab codes for the simulations in [1]. In each folder, you will find the required codes to recreate all simulation plots provided in [1].

Please cite [1] for reusing these codes and contact Morteza Banagar at mbanagar@vt.edu if you have any questions.

The extended journal version of the conference in [1] is available in [2]. The repository for the codes of [2] can be found [here](https://github.com/stochastic-geometry/Mobility-Drones).

![3GPP_Mobility_Drone](https://github.com/stochastic-geometry/3GPP-Mobility-Drone/blob/d434d82f31828277b01c4673e8594621ba1ba96c/3GPP_Mobility_Drone.JPG)

### References

[1] M. Banagar and H. S. Dhillon, “3GPP-inspired stochastic geometry-based mobility model for a drone cellular network,” in <i>Proceedings of IEEE Global Communications Conference (Globecom)</i>, December 2019, pp. 1-6, available online at [IEEE Xplore](https://ieeexplore.ieee.org/document/9013645) and [ArXiv](https://arxiv.org/abs/1905.00972).

[2] M. Banagar and H. S. Dhillon, “Performance characterization of canonical mobility models in drone cellular networks,” <i>IEEE Transactions on Wireless Communications</i>, vol. 19, no. 7, pp. 4994-5009, July 2020, available online at [IEEE Xplore](https://ieeexplore.ieee.org/document/9078878) and [ArXiv](https://arxiv.org/abs/1908.05243).

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