Alpha-stable model for interference in IoT networks

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

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]

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]

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) ...
Show more >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 :