H. Hellaoui, M. Bagaa, A. Chelli, T. Taleb and B. Yang, "On Supporting Multiservices in UAV-Enabled Aerial Communication for Internet of Things," in IEEE Internet of Things Journal, vol. 10, no. 15, pp. 13754-13768, 1 Aug.1, 2023, doi: 10.1109/JIOT.2023.3262920
On supporting multiservices in UAV-enabled aerial communication for Internet of Things
|Author:||Hellaoui, Hamed1; Bagaa, Miloud1,2; Chelli, Ali3;|
1Communications and Networking Department, Aalto University, Espoo, Finland
2Department of Electrical and Computer Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
3Department of Business, Marketing and Law, University of South-Eastern Norway (Campus Ringerike), Notodden, Norway
4Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
5School of Computer and Information Engineering, Chuzhou University, Chuzhou, China
|Online Access:||PDF Full Text (PDF, 4.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20231004138672
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-10-04
Multiservices are of fundamental importance in unmanned aerial vehicle (UAV)-enabled aerial communications for the Internet of Things (IoT). However, the multiservices are challenging in terms of requirements and use of shared resources such that the traditional solutions for a single service are unsuitable for the multiservices. In this article, we consider a UAV-enabled aerial access network for ground IoT devices, each of which requires two types of services, namely, ultrareliable low-latency communication (uRLLC) and enhanced mobile broadband (eMBB), measured by transmission delay and effective rate, respectively. We first consider a communication model that accounts for most of the propagation phenomena experienced by wireless signals. Then, we derive the expressions of the effective rate and the transmission delay, and formulate each service type as an optimization problem with the constraints of resource allocation and UAV deployment to enable multiservice support for the IoT. These two optimization problems are nonlinear and nonconvex and are generally difficult to be solved. To this end, we transform them into linear optimization problems, and propose two iterative algorithms to solve them. Based on them, we further propose a linear program algorithm to jointly optimize the two service types, which achieves a tradeoff of the effective rate and the transmission delay. Extensive performance evaluations have been conducted to demonstrate the effectiveness of the proposed approach in reaching a tradeoff optimization that enhances the two services.
IEEE internet of things journal
|Pages:||13754 - 13768|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported by the European Union’s Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant 857031.
|EU Grant Number:||
(857031) 5G!Drones - Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
© The Author(s) 2023. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.