Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Maritime coverage enhancement using UAVs coordinated with hybrid satellite-terrestrial networks

Tools
- Tools
+ Tools

Li, Xiangling, Feng, Wei, Chen, Yunfei, Wang, Cheng-Xiang and Ge, Ning (2020) Maritime coverage enhancement using UAVs coordinated with hybrid satellite-terrestrial networks. IEEE Transactions on Communications, 68 (4). pp. 2355-2369. doi:10.1109/TCOMM.2020.2966715 ISSN 0090-6778.

[img]
Preview
PDF
WRAP-martime-coverage-enhancement-coordinated-hybrid-satellite-Chen-2020.pdf - Accepted Version - Requires a PDF viewer.

Download (1520Kb) | Preview
Official URL: https://doi.org/10.1109/TCOMM.2020.2966715

Request Changes to record.

Abstract

Due to the agile maneuverability, unmanned aerial vehicles (UAVs) have shown great promise for on-demand communications. In practice, UAV-aided aerial base stations are not separate. Instead, they rely on existing satellites/terrestrial systems for spectrum sharing and efficient backhaul. In this case, how to coordinate satellites, UAVs and terrestrial systems is still an open issue. In this paper, we deploy UAVs for coverage enhancement of a hybrid satellite-terrestrial maritime communication network. Using a typical composite channel model including both large-scale and small-scale fading, the UAV trajectory and in-flight transmit power are jointly optimized, subject to constraints on UAV kinematics, tolerable interference, backhaul, and the total energy of the UAV for communications. Different from existing studies, only the location-dependent large-scale channel state information (CSI) is assumed available, because it is difficult to obtain the small-scale CSI before takeoff in practice and the ship positions can be obtained via the dedicated maritime Automatic Identification System. The optimization problem is non-convex. We solve it by using problem decomposition, successive convex optimization and bisection searching tools. Simulation results demonstrate that the UAV fits well with existing satellite and terrestrial systems, using the proposed optimization framework.

Item Type: Journal Article
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Drone aircraft -- Control systems, Artificial satellites in telecommunication, Electronics in naval aviation
Journal or Publication Title: IEEE Transactions on Communications
Publisher: IEEE
ISSN: 0090-6778
Official Date: April 2020
Dates:
DateEvent
April 2020Published
15 January 2020Available
5 January 2020Accepted
Volume: 68
Number: 4
Page Range: pp. 2355-2369
DOI: 10.1109/TCOMM.2020.2966715
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 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.
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 15 January 2020
Date of first compliant Open Access: 15 January 2020
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
2018YFA0701601National Key R&D Program of ChinaUNSPECIFIED
61922049[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61771286[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61941104[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61701457[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61960206006[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
91638205[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
2018YFB1801101National Key R&D Program of ChinaUNSPECIFIED
2242019R30001Fundamental Research Funds for the Central Universitieshttp://dx.doi.org/10.13039/501100012226
872172H2020 European Research Councilhttp://dx.doi.org/10.13039/100010663
2019M650680China Postdoctoral Science Foundationhttp://dx.doi.org/10.13039/501100002858
UNSPECIFIEDBeijing Innovation Center for Future Chiphttp://dx.doi.org/10.13039/501100012282
UNSPECIFIEDPeng Cheng LaboratoryUNSPECIFIED
Related URLs:
  • Publisher

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us