Linear Combining in Dependent $alpha$-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 $alpha$-Stable Interference
Auteur(s) :
Zheng, Ce [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 Avancé - UAR 3380 [IRCICA]
Egan, Malcolm [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
Clavier, Laurent [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Pedersen, Troels [Auteur]
Department of Electronic Systems - Aalborg University
Gorce, Jean-Marie [Auteur]
CITI Centre of Innovation in Telecommunications and Integration of services [CITI]
Institut National des Sciences Appliquées de Lyon [INSA Lyon]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
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 Avancé - UAR 3380 [IRCICA]
Egan, Malcolm [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
Clavier, Laurent [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Pedersen, Troels [Auteur]
Department of Electronic Systems - Aalborg University
Gorce, Jean-Marie [Auteur]
CITI Centre of Innovation in Telecommunications and Integration of services [CITI]
Institut National des Sciences Appliquées de Lyon [INSA Lyon]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
Titre de la manifestation scientifique :
ICC 2020 - IEEE International Conference on Communications
Ville :
Dublin
Pays :
Irlande
Date de début de la manifestation scientifique :
2020-06-07
Mot(s)-clé(s) en anglais :
Dependent alpha-stable
Linear combining
Sub-Gaussianalpha-stable
Linear combining
Sub-Gaussianalpha-stable
Discipline(s) HAL :
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Mathématiques [math]/Théorie de l'information et codage [math.IT]
Informatique [cs]/Théorie de l'information [cs.IT]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Mathématiques [math]/Théorie de l'information et codage [math.IT]
Informatique [cs]/Théorie de l'information [cs.IT]
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 unco-ordinated 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 α-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 unco-ordinated 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 α-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 :
2021-07-27T09:27:43Z
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- https://hal.archives-ouvertes.fr/hal-02460193/document
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