Experimental evidence for heavy tailed interference in the IoT

Clavier, Laurent; Pedersen, Troels; Rodriguez, Ignacio; Lauridsen, Mads; Egan, Malcolm

Document type :

Article dans une revue scientifique

DOI :

10.1109/LCOMM.2020.3034430

Title :

Experimental evidence for heavy tailed interference in the IoT

Author(s) :

Clavier, Laurent [Auteur]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Lille Douai]
Pedersen, Troels [Auteur]
Aalborg University [Denmark] [AAU]
Rodriguez, Ignacio [Auteur]
Aalborg University [Denmark] [AAU]
Lauridsen, Mads [Auteur]
Nokia Bell Labs
Egan, Malcolm [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]

Journal title :

IEEE Communications Letters

Pages :

692-695

Publisher :

Institute of Electrical and Electronics Engineers

Publication date :

2021-03

ISSN :

1089-7798

English keyword(s) :

Interference
IoT
statistical models
subexponential distributions
heavy tails

HAL domain(s) :

Informatique [cs]/Théorie de l'information [cs.IT]

English abstract : [en]

5G and beyond sees an ever increasing density of connected things. As not all devices are coordinated, there are limited opportunities to mitigate interference. As such, it is crucial to characterize the interference in ...
Show more >5G and beyond sees an ever increasing density of connected things. As not all devices are coordinated, there are limited opportunities to mitigate interference. As such, it is crucial to characterize the interference in order to understand its impact on coding, waveform and receiver design. While a number of theoretical models have been developed for the interference statistics in communications for the IoT, there is very little experimental validation. In this paper, we address this key gap in understanding by performing statistical analysis on recent measurements in the unlicensed 863 MHz to 870 MHz band in different regions of Aalborg, Denmark. In particular, we show that the measurement data suggests the distribution of the interference power is heavy tailed, confirming predictions from theoretical models.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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