Experimental evidence for heavy tailed ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Experimental evidence for heavy tailed interference in the IoT
Auteur(s) :
Clavier, Laurent [Auteur]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Lille Douai]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
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]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Lille Douai]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
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]
Titre de la revue :
IEEE Communications Letters
Pagination :
692-695
Éditeur :
Institute of Electrical and Electronics Engineers
Date de publication :
2021-03
ISSN :
1089-7798
Mot(s)-clé(s) en anglais :
Interference
IoT
statistical models
subexponential distributions
heavy tails
IoT
statistical models
subexponential distributions
heavy tails
Discipline(s) HAL :
Informatique [cs]/Théorie de l'information [cs.IT]
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Source :
Fichiers
- https://hal.archives-ouvertes.fr/hal-03018284/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-03018284/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-03018284/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- COMML_2020_Clavier_et_al.pdf
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document