Graduate School and Research Center in Digital Sciences

Learning from the sky: Autonomous flying access networks for beyond 5G

Gesbert, David

SPCOM 2018, 12th International Conference on Signal Processing and Communications, 16-19 July 2018, Bangalore, India

The use of flying robots (drones) carrying radio transceiver equipment is the new promising frontier in our quest towards ever more flexible, adaptable and spectrally efficient wireless networks. Beyond obvious challenges within regulatory, control, navigation, and operational domains, the deployment of autonomous flying radio access network (Fly-RANs) also come with a number of exciting new research problems such as the issue of autonomous real-time placement of the drones in non-trivial propagation scenarios (i.e. scenarios where the optimal placement is not just dictated by a trivial geometry or statistical argument due to shadowing effects, e.g. in cities). We present several different approaches, lying at the cross-roads between machine learning, signal processing and optimization. Some approaches involve the reconstruction of a city map from sampled radio measurements which can have application beyond the realm of communications.

Bibtex

Title:Learning from the sky: Autonomous flying access networks for beyond 5G
Type:Talk
Language:English
City:Bangalore
Country:INDIA
Date:
Department:Communication systems
Eurecom ref:5598
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Bibtex: @talk{EURECOM+5598, year = {2018}, title = {{L}earning from the sky: {A}utonomous flying access networks for beyond 5{G}}, author = {{G}esbert, {D}avid}, number = {EURECOM+5598}, month = {07}, institution = {Eurecom} address = {{B}angalore, {INDIA}}, url = {http://www.eurecom.fr/publication/5598} }
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