Article (Scientific journals)
UAV Relay-Assisted Emergency Communications in IoT Networks: Resource Allocation and Trajectory Optimization
Tran Dinh, Hieu; Nguyen, van Dinh; Chatzinotas, Symeon et al.
2022In IEEE Transactions on Wireless Communications, 21 (3), p. 1621-1637
Peer Reviewed verified by ORBi
 

Files


Full Text
UAV_Relay-Assisted_Emergency_Communications_in_IoT_Networks_Resource_Allocation_and_Trajectory_Optimization.pdf
Publisher postprint (2.3 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Emergency communications; full-duplex; information freshness; Internet-of-Things; timely data collection; unmanned aerial vehicle (UAV)
Abstract :
[en] Unmanned aerial vehicle (UAV) communication hasemerged as a prominent technology for emergency communi-cations (e.g., natural disaster) in the Internet of Things (IoT)networks to enhance the ability of disaster prediction, damageassessment, and rescue operations promptly. A UAV can bedeployed as a flying base station (BS) to collect data from time-constrained IoT devices and then transfer it to a ground gateway(GW). In general, the latency constraint at IoT devices and UAV’slimited storage capacity highly hinder practical applicationsof UAV-assisted IoT networks. In this paper, full-duplex (FD)radio is adopted at the UAV to overcome these challenges. Inaddition, half-duplex (HD) scheme for UAV-based relaying isalso considered to provide a comparative study between twomodes (viz., FD and HD). Herein, a device is considered tobe successfully served iff its data is collected by the UAV andconveyed to GW timely during flight time. In this context,we aim to maximize the number of served IoT devices byjointly optimizing bandwidth, power allocation, and the UAVtrajectory while satisfying each device’s requirement and theUAV’s limited storage capacity. The formulated optimizationproblem is troublesome to solve due to its non-convexity andcombinatorial nature. Towards appealing applications, we firstrelax binary variables into continuous ones and transform theoriginal problem into a more computationally tractable form.By leveraging inner approximation framework, we derive newlyapproximated functions for non-convex parts and then develop asimple yet efficient iterative algorithm for its solutions. Next,we attempt to maximize the total throughput subject to thenumber of served IoT devices. Finally, numerical results showthat the proposed algorithms significantly outperform benchmarkapproaches in terms of the number of served IoT devices andsystem throughput.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Applied Security and Information Assurance Group (APSIA)
Disciplines :
Electrical & electronics engineering
Author, co-author :
Tran Dinh, Hieu ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Nguyen, van Dinh ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Vu, Thang Xuan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
UAV Relay-Assisted Emergency Communications in IoT Networks: Resource Allocation and Trajectory Optimization
Publication date :
March 2022
Journal title :
IEEE Transactions on Wireless Communications
ISSN :
1558-2248
Publisher :
Institute of Electrical and Electronics Engineers, New York, United States - New York
Volume :
21
Issue :
3
Pages :
1621-1637
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR11691338 - Proactive Edge Caching For Content Delivery Networks Powered By Hybrid Satellite/Terrestrial Backhauling, 2017 (01/07/2018-31/12/2021) - Bjorn Ottersten
Name of the research project :
FNR CORE ProCAST, grant C17/IS/11691338 and FNR 5G-Sky, grant C19/IS/13713801.
Funders :
Luxembourg National Research Fundunder project FNR
Available on ORBilu :
since 03 September 2021

Statistics


Number of views
172 (48 by Unilu)
Number of downloads
180 (10 by Unilu)

Scopus citations®
 
45
Scopus citations®
without self-citations
41
WoS citations
 
38

Bibliography


Similar publications



Contact ORBilu