Resource and Placement Optimization for Multiple UAVs using Backhaul Tethered Balloons

Ala Alzidaneen, Ahmad Alsharoa, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


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
Issue number4
StatePublished - 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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