Alpha-stable model for interference in IoT networks

Clavier, Laurent; Pedersen, Troels; Larrad, Ignacio Rodriguez; Egan, Malcolm

Type de document :

Communication dans un congrès avec actes

DOI :

10.1109/CAMA49227.2021.9703600

Titre :

Alpha-stable model for interference in IoT networks

Auteur(s) :

Clavier, Laurent [Auteur]

Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Pedersen, Troels [Auteur]
Aalborg University [Denmark] [AAU]
Larrad, Ignacio Rodriguez [Auteur]
Aalborg University [Denmark] [AAU]
Egan, Malcolm [Auteur]
CITI Centre of Innovation in Telecommunications and Integration of services [CITI]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]

Titre de la manifestation scientifique :

International Conference on Antenna Measurements and Applications, CAMA 2021

Ville :

Antibes Juan-les-Pins

Pays :

France

Date de début de la manifestation scientifique :

2021-11-15

Éditeur :

IEEE

Date de publication :

2021

Mot(s)-clé(s) en anglais :

IoT
Interference
α-stable distributions

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [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) ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :