Titre :

On the Interference Arising From Random Spatial Fields of Interferers Utilizing Multiple Subcarriers

Auteur(s) :

Zheng, Ce [Auteur]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Egan, Malcolm [Auteur]
CITI Centre of Innovation in Telecommunications and Integration of services [CITI]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
Clavier, Laurent [Auteur]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Peters, Gareth W. [Auteur]
School of Mathematical and Computer Sciences [MATHEMATICS DEPARTMENT OF HERIOT-WATT UNIVERSITY]
Gorce, Jean-Marie [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 revue :

EURASIP Journal on Wireless Communications and Networking

Pagination :

1-28

Éditeur :

SpringerOpen

Date de publication :

2022

ISSN :

1687-1472

Mot(s)-clé(s) en anglais :

Multivariate interference
Heavy-tailed distributions
Stochastic geometry

Discipline(s) HAL :

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

Résumé en anglais : [en]

Efective symbol detection, channel estimation and decoding of channel codes require an accurate characterization of the noise probability distribution. In many systems, notably the internet of things, noise is largely in ...
Lire la suite >Efective symbol detection, channel estimation and decoding of channel codes require an accurate characterization of the noise probability distribution. In many systems, notably the internet of things, noise is largely in the form of interference, arising from a massive number of simultaneous transmissions from uncoordinated devices. Obtaining the probability distribution of the interference is a challenging problem due to the use of non-orthogonal multiple access schemes over several subcarriers (leading to multivariate statistical models) and the heavy-tailed nature of the interference due to the random locations of devices. In this paper, we derive a novel tractable characterization of the interference probability distribution based on an application of Sklar’s theorem to develop a combination of α-stable and t-copula dependence models. We demonstrate that this formulation produces an accurate statistical modeling framework that admits efcient parameter estimation methods. As an illustration of the utility of our models, we develop a simple-to-implement nonlinear receiver when a binary signal is transmitted over all subcarriers by the desired transmitter, which is efective in a range of scenarios and can signifcantly outperform existing approaches.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Régions atteignables des communications sans fil multi-utilisateurs intermittentes

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL