Ecole d'ingénieur et centre de recherche en Sciences du numérique

A landing spot approach for enhancing the performance of UAV-aided wireless networks

Gangula, Rajeev; Gesbert, David; Külzer, Daniel-Fabian; Franceschi-Quintero, José Miguel

ICC 2018, IEEE Workshop on Integrating UAVs into 5G, Workshop of the International Conference on Communications, 20-24 May 2018, Kansas City, MO, USA

UAV-aided wireless networks allow ultra-flexible deployment of wireless resources when and where it matters. Despite their promise, such networks are severely hindered by the limited on-board battery budget. This paper introduces a novel yet simple approach to circumvent this problem, based on the concept of so-called landing spots (LSs). LSs allow to trade-off throughput for rest time. We also derive a dynamic program which optimally exploits any given LS setup for UAV trajectory design. Our study shows that LSs dramatically enhance the lifetime of flying radio access networks while only moderately affecting the throughput performance. In IoT dataharvesting settings, LSs substantially increase the total collected data payload for a given battery budget.

Document Bibtex

Titre:A landing spot approach for enhancing the performance of UAV-aided wireless networks
Type:Invited paper in a conference
Ville:Kansas City
Département:Systèmes de Communication
Eurecom ref:5458
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Bibtex: @inproceedings{EURECOM+5458, year = {2018}, title = {{A} landing spot approach for enhancing the performance of {UAV}-aided wireless networks }, author = {{G}angula, {R}ajeev and {G}esbert, {D}avid and {K}{\"u}lzer, {D}aniel-{F}abian and {F}ranceschi-{Q}uintero, {J}os{\'e} {M}iguel}, booktitle = {{ICC} 2018, {IEEE} {W}orkshop on {I}ntegrating {UAV}s into 5{G}, {W}orkshop of the {I}nternational {C}onference on {C}ommunications, 20-24 {M}ay 2018, {K}ansas {C}ity, {MO}, {USA}}, address = {{K}ansas {C}ity, {\'{E}}{TATS}-{UNIS}}, month = {05}, url = {} }
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