Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
Resource Allocation for UAV Relay-Assisted IoT Communication Networks
Tran Dinh, Hieu; Nguyen, van Dinh; Gautam, Sumit et al.
2020IEEE GLOBECOM 2020 - Workshop on Future of Wireless Access for Industrial IoT (FutureIIoT)
 

Files


Full Text
UAV_IoT_Conf.pdf
Publisher postprint (396.94 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Information freshness; Internet of Things; timely data collection; unmanned aerial vehicle (UAV).
Abstract :
[en] This work studies unmanned aerial vehicle (UAV) relay-assisted Internet of Things (IoT) communication networks in which a UAV is deployed as an aerial base station (BS) to collect time-constrained data from IoT devices and transfer information to a ground gateway (GW). In this context, we jointly optimize the allocated bandwidth, transmission power, as well as the UAV trajectory to maximize the total system throughput while satisfying the user’s latency requirement and the UAV’s limited storage capacity. The formulated problem is strongly nonconvex which is very challenging to solve optimally. Towards an appealing solution, we first introduce new variables to convert the original problem into a computationally tractable form, and then develop an iterative algorithm for its solution by leveraging the inner approximation method. Numerical results are given to show
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Disciplines :
Electrical & electronics engineering
Author, co-author :
Tran Dinh, Hieu ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Nguyen, van Dinh ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Gautam, Sumit ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Vu, Thang Xuan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Resource Allocation for UAV Relay-Assisted IoT Communication Networks
Alternative titles :
[en] Resource Allocation for UAV Relay-Assisted IoT Communication Networks
Publication date :
06 October 2020
Number of pages :
7
Event name :
IEEE GLOBECOM 2020 - Workshop on Future of Wireless Access for Industrial IoT (FutureIIoT)
Event organizer :
IEEE Comsoc
Event place :
Taipei, Taiwan
Event date :
7-12-2020
By request :
Yes
Audience :
International
References of the abstract :
This work studies unmanned aerial vehicle (UAV) relay-assisted Internet of Things (IoT) communication networks in which a UAV is deployed as an aerial base station (BS) to collect time-constrained data from IoT devices and transfer information to a ground gateway (GW). In this context, we jointly optimize the allocated bandwidth, transmission power, as well as the UAV trajectory to maximize the total system throughput while satisfying the user's latency requirement and the UAV's limited storage capacity. The formulated problem is strongly non-convex which is very challenging to solve optimally. Towards an appealing solution, we first introduce new variables to convert the original problem into a computationally tractable form, and then develop an iterative algorithm for its solution by leveraging the inner approximation method. Numerical results are given to show significant performance improvement over benchmark schemes.
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 CORE 5G-Sky, grant C19/IS/13713801
Funders :
Luxembourg National Research Fund under project FNR CORE ProCAST, grant C17/IS/11691338 and FNR CORE 5G-Sky, grant C19/IS/13713801
Available on ORBilu :
since 06 October 2020

Statistics


Number of views
271 (22 by Unilu)
Number of downloads
243 (17 by Unilu)

Bibliography


Similar publications



Contact ORBilu