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Alpha-stable model for interference in IoT ...
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Document type :
Communication dans un congrès avec actes
DOI :
10.1109/CAMA49227.2021.9703600
Title :
Alpha-stable model for interference in IoT networks
Author(s) :
Clavier, Laurent [Auteur]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Pedersen, Troels [Auteur]
Aalborg University [Denmark] [AAU]
Larrad, Ignacio Rodriguez [Auteur]
Aalborg University [Denmark] [AAU]
Egan, Malcolm [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
CITI Centre of Innovation in Telecommunications and Integration of services [CITI]
Conference title :
International Conference on Antenna Measurements and Applications, CAMA 2021
City :
Antibes Juan-les-Pins
Country :
France
Start date of the conference :
2021-11-15
Publisher :
IEEE
Publication date :
2021
English keyword(s) :
IoT
Interference
α-stable distributions
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
The increase in connected device, linked with the evolution of IoT and cellular networks with 5G and towards 6G makes crucial the limitation of the interference impact. Devices in networks (like LoRa, SigFox and even WiFi) ...
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The increase in connected device, linked with the evolution of IoT and cellular networks with 5G and towards 6G makes crucial the limitation of the interference impact. Devices in networks (like LoRa, SigFox and even WiFi) or in different networks are not necessarily coordinated to optimize their communication scheme and reduce interference. As a consequence, it is essential to characterize the interference statistics in order to assess its impact on the network performance and define the appropriate access policies. With a theoretical approach, a large number of studies have tackled this characterization question. However, much less is available from an experimental point of view. In this paper, we address this key gap. Measurements were performed in Aalborg, Denmark, in the unlicensed 863–870 MHz. We show that the heavy tailed behaviour of the interference, predicted by theory, is indeed appropriate. We also show that the α-stable distribution can be a good model for interference in IoT networks.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520
Source :
Harvested from HAL
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