Learning-Aided Multi-RAT Operation for Battery Lifetime Extension in LPWAN Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137647" target="_blank" >RIV/00216305:26220/20:PU137647 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9222440/" target="_blank" >https://ieeexplore.ieee.org/document/9222440/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT51630.2020.9222440" target="_blank" >10.1109/ICUMT51630.2020.9222440</a>

Result language
angličtina
Original language name
Learning-Aided Multi-RAT Operation for Battery Lifetime Extension in LPWAN Systems
Original language description
End-device (ED) lifetime is considered to be a crucial design factor in radio systems for massive machine-type communications. This parameter is heavily impacted by the continuously changing propagation conditions between the ED and the base station. In this paper, to extend the ED lifetime, we consider equipping a single ED with multiple low-power wide-area network (LPWAN) technologies to dynamically select the one with lower energy consumption. To facilitate this process, we propose to employ reinforcement learning (RL) algorithms. Assessing the resultant performance, we conduct two large-scale measurement campaigns that characterize the ED power consumption and the time-dependent propagation conditions for NB-IoT, Sigfox, and LoRaWAN technologies. Our numerical results demonstrate that the designed schemes effectively reduce ED power consumption by timely reacting to the varying radio conditions. Consequently, the ED lifetime expectancy is prolonged by around 10%. For instance, the Thompson sampling technique delivers the most consistent results by outperforming its counterparts and allowing to exploit up to 99% of the theoretical gains while converging over only 25-50 samples.
Czech name
—
Czech description
—

Project
<a href="/en/project/TN01000007" target="_blank" >TN01000007: National Centre for Energy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).
ISBN
978-1-7281-9281-9
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
1-7
Publisher name
Neuveden
Place of publication
neuveden
Event location
Online
Event date
Oct 5, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000627398300005

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