Graduate School and Research Center in Digital Sciences

Autonomous UAV-aided mesh wireless networks

Esrafilian, Omid; Gangula, Rajeev; Gesbert, David

DRONECOM 2020, International Workshop on Drone-Assisted Smart Backhaul Solutions for 5G and Beyond (DroneCom) in conjunction with IEEE INFOCOM 2020, 6 July 2020, Toronto, Canada

Mesh networks are known to provide enhanced and robust coverage by leveraging the multi-hop relaying and self-organization capabilities. Despite these advantages, in deploy- ment scenarios where some nodes are severely obstructed from others, overall network connectivity may still be hampered. In this work, we investigate the use of an unmanned aerial vehicle (UAV) serving as a smart relay to improve the connectivity in a wireless mesh network. It is the first contribution of its kind in the context of mesh networks where an UAV autonomously navigates itself to maximize the mesh connectivity based on the positioning algorithm that exploits the radio measurements collected in the network. We also validate the performance of the developed algorithm in a real-life experimental setup.

Document Bibtex

Title:Autonomous UAV-aided mesh wireless networks
Department:Communication systems
Eurecom ref:6229
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Bibtex: @inproceedings{EURECOM+6229, year = {2020}, title = {{A}utonomous {UAV}-aided mesh wireless networks}, author = {{E}srafilian, {O}mid and {G}angula, {R}ajeev and {G}esbert, {D}avid}, booktitle = {{DRONECOM} 2020, {I}nternational {W}orkshop on {D}rone-{A}ssisted {S}mart {B}ackhaul {S}olutions for 5{G} and {B}eyond ({D}rone{C}om) in conjunction with {IEEE} {INFOCOM} 2020, 6 {J}uly 2020, {T}oronto, {C}anada}, address = {{T}oronto, {CANADA}}, month = {07}, url = {} }
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