Title :

Multivariate $alpha$-Stable Models in OFDM-Based IoT Networks with Interference From a Poisson Spatial Field of Interferers

Author(s) :

Egan, Malcolm [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
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]

Conference title :

DCCN 2020 - 23rd International Conference on Distributed Computer and Communication Networks: Control, Computation, Communications

City :

Virtual Event

Country :

Russie

Start date of the conference :

2020-09-14

Publisher :

Springer

English keyword(s) :

SCMA
NB-IoT
IoT
interference
$α$-stable

HAL domain(s) :

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

English abstract : [en]

The uncoordinated nature of IoT networks makes interference management a challenging problem. Motivated by NB-IoT and SCMA protocols, we study the interference statistics of a Poisson spatial field of IoT interferers ...
Show more >The uncoordinated nature of IoT networks makes interference management a challenging problem. Motivated by NB-IoT and SCMA protocols, we study the interference statistics of a Poisson spatial field of IoT interferers exploiting OFDM. We show for a sufficiently large number of subcarriers that the interference statistics are well-approximated by a sub-Gaussian α-stable random vector with a non-isotropic underlying Gaussian random vector. This result forms a basis to improve detection and decoding algorithms at the receiver.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