Resource and Placement Optimization for Multiple UAVs using Backhaul Tethered Balloons

Ala Alzidaneen, Ahmad Alsharoa, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

This paper 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 UAVsb' 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.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Wireless Communications Letters
Volume9
Issue number4
DOIs
StatePublished - 2019

Fingerprint

Dive into the research topics of 'Resource and Placement Optimization for Multiple UAVs using Backhaul Tethered Balloons'. Together they form a unique fingerprint.

Cite this