Publication
Title
The CityLab Testbed : large-scale multi-technology wireless experimentation in a city environment : neural network-based interference prediction in a Smart City
Author
Abstract
Smart cities form an important new paradigm for future cities, where technology assists people, local economy and government. For smart cities to mature, it is crucial to enable experimental evaluation of current and new technologies, in realistic conditions. This paper contributes to the network testbeds domain by introducing the CityLab testbed, where researchers can experiment with a variety of smart city network technologies in parallel, including IEEE 802.11, IEEE 802.15.4, and sub-GHz protocols -on bare metal hardware enabling full software flexibility. As a second contribution, one aspect of realism, interference, is shown to be measured and predicted, based on data from the CityLab deployment. Specifically, we predict interference one hour into the future using a neural network based on a Gated Recurrent Unit. Compared to a naive predictor, the neural network is over 6.5 times as accurate.
Language
English
Source (journal)
IEEE INFOCOM 2018 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS)
Source (book)
IEEE Conference on Computer Communications (IEEE INFOCOM), APR 15-19, 2018, Honolulu, HI
Publication
New york : Ieee , 2018
ISBN
978-1-5386-5979-3
978-1-5386-5979-3
978-1-5386-5980-9
Volume/pages
(2018) , p. 529-534
ISI
000450157700152
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Project info
FUTEBOL: Federated Union of Telecommunications Research Facilities for an EU-Brasil Open Laboratory
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 10.12.2018
Last edited 06.11.2021
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