Linear combining in dependent α-stable ...
Type de document :
Communication dans un congrès avec actes: Autre communication scientifique (congrès sans actes - poster - séminaire...)
URL permanente :
Titre :
Linear combining in dependent α-stable interference
Auteur(s) :
Zheng, Ce []
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancée - UAR 3380 [IRCICA]
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]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Lille Douai]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Pedersen, Troels [Auteur]
Aalborg University [Denmark] [AAU]
Gorce, Jean-Marie [Auteur]

Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancée - UAR 3380 [IRCICA]
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]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Lille Douai]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Pedersen, Troels [Auteur]
Aalborg University [Denmark] [AAU]
Gorce, Jean-Marie [Auteur]
Titre de la manifestation scientifique :
IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond
Ville :
Dublin
Pays :
Irlande
Date de début de la manifestation scientifique :
2020-06-07
Titre de l’ouvrage :
IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond
Titre de la revue :
Proceedings of IEEE International Conference on Communications, ICC 2020
Éditeur :
IEEE
Date de publication :
2020
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
Recently, there has been a proliferation of wireless communication technologies in unlicensed bands for the Internet of Things. A key question is whether these networks can coexist given that they have different power ...
Lire la suite >Recently, there has been a proliferation of wireless communication technologies in unlicensed bands for the Internet of Things. A key question is whether these networks can coexist given that they have different power levels, symbol periods, and access protocols. The main challenge is to characterize the impact of mutual interference arising from distinct uncoordinated networks. It is known that when interferers form a homogeneous Poisson point process and transmit only on a single subband, the interference is often well-modeled by the heavy-tailed a-stable distribution. In this paper, we focus on the scenario where interferers transmit on multiple subbands. Under a policy where each interferer independently accesses each band with probability p, we provide an exact characterization of the interference random vector. Exploiting this characterization, we derive optimal linear combining weights and an analytical approximation for the bit error rate (BER), accurate for large transmit power. A key observation is that the expression for the BER admits an interpretation in terms of an array gain and a fractional diversity gain.Lire moins >
Lire la suite >Recently, there has been a proliferation of wireless communication technologies in unlicensed bands for the Internet of Things. A key question is whether these networks can coexist given that they have different power levels, symbol periods, and access protocols. The main challenge is to characterize the impact of mutual interference arising from distinct uncoordinated networks. It is known that when interferers form a homogeneous Poisson point process and transmit only on a single subband, the interference is often well-modeled by the heavy-tailed a-stable distribution. In this paper, we focus on the scenario where interferers transmit on multiple subbands. Under a policy where each interferer independently accesses each band with probability p, we provide an exact characterization of the interference random vector. Exploiting this characterization, we derive optimal linear combining weights and an analytical approximation for the bit error rate (BER), accurate for large transmit power. A key observation is that the expression for the BER admits an interpretation in terms of an array gain and a fractional diversity gain.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Source :
Date de dépôt :
2021-07-27T07:02:21Z
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