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Article
Resource and Placement Optimization for Multiple UAVs using Backhaul Tethered Balloons
IEEE Wireless Communications Letters
  • Ala Alzidaneen
  • Ahmad Alsharoa, Missouri University of Science and Technology
  • Mohamed-Slim Alouini
Abstract

This letter studies the improvement of the achievable end-to-end data rate of ground users assisted with unmanned aerial vehicles (UAVs) and tethered balloons (TBs). The goal is to maximize the end-to-end throughput of a network suffering from the absence of terrestrial infrastructure. First, we solve an integer linear programming problem to optimize the associations. Then, we solve the UAVs' transmit powers optimally by converting the problem into a convex one. Subsequently, an efficient algorithm is proposed to optimize the UAVs' placement. Finally, our mathematical formalism is illustrated with some selected numerical results that show the advantages provided by our proposed scheme.

Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
  • Resource Optimization,
  • Tethered Balloons,
  • Unmanned Aerial Vehicles
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
4-1-2020
Publication Date
01 Apr 2020
Citation Information
Ala Alzidaneen, Ahmad Alsharoa and Mohamed-Slim Alouini. "Resource and Placement Optimization for Multiple UAVs using Backhaul Tethered Balloons" IEEE Wireless Communications Letters Vol. 9 Iss. 4 (2020) p. 543 - 547 ISSN: 2162-2337
Available at: http://works.bepress.com/ahmad-alsharoa/40/