University of Oulu

A. Abada, B. Yang and T. Taleb, "Traffic Flow Modeling for UAV-Enabled Wireless Networks," 2020 International Conference on Networking and Network Applications (NaNA), 2020, pp. 59-64, doi: 10.1109/NaNA51271.2020.00018

Traffic flow modeling for UAV-enabled wireless networks

Saved in:
Author: Abada, Abderrahmane1; Yang, Bin1; Taleb, Tarik1,2
Organizations: 1School of Electrical Engineering, Aalto University, Finland
2Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 9.7 MB)
Persistent link:
Language: English
Published: IEEE, 2020
Publish Date: 2022-03-21


This paper investigates traffic flow modeling issue in multi-services oriented unmanned aerial vehicle (UAV)-enabled wireless networks, which is critical for supporting future various applications of such networks. We propose a general traffic flow model for multi-services oriented UAV-enable wireless networks. Under this model, we first classify the network services into three subsets: telemetry, Internet of Things (IoT), and streaming data. Based on the Pareto distribution, we then partition all UAVs into three subgroups with different network usage. We further determine the number of packets for different network services and total data size according to the packet arrival rate for the nine segments, each of which represents one map relationship between a subset of services and a subgroup of UAVs. Simulation results are provided to illustrate that the number of packets and the data size predicted by our traffic model can well match with these under a real scenario.

see all

ISBN: 978-1-7281-8954-3
ISBN Print: 978-1-7281-8955-0
Pages: 59 - 64
Article number: 9353826
Host publication: 2020 International Conference on Networking and Network Applications, NaNA 2020
Conference: International Conference on Networking and Network Applications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by the European Union’s Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031, the Academy of Finland 6Genesis project under Grant No.318927, the Academy of Finland CSN project under Grant No. 311654, the NSF of China under Grant No. 61962033, the Anhui Province project under Grant No. 1808085MF165, gxgwfx2019060 and KJ2019A0643, and the Yunnan Province project under Grant No. 2018FH001-010.
EU Grant Number: (857031) 5G!Drones - Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.