Treffer: On the Capacity of Noncoherent Network Coding

Title:
On the Capacity of Noncoherent Network Coding
Source:
Facets of Coding Theory: From Algorithms to Networks. Special Issue Dedicated to the Scientific Legacy of Ralf KoetterIEEE transactions on information theory. 57(2):1046-1066
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2011.
Publication Year:
2011
Physical Description:
print, 27 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie de l'information, Information theory, Théorie du signal et des communications, Signal and communications theory, Signal, bruit, Signal, noise, Détection, estimation, filtrage, égalisation, prédiction, Detection, estimation, filtering, equalization, prediction, Codage, codes, Coding, codes, Télécommunications, Telecommunications, Systèmes, réseaux et services de télécommunications, Systems, networks and services of telecommunications, Transmission et modulation (techniques et équipements), Transmission and modulation (techniques and equipments), Accès multiple, Multiple access, Acceso múltiple, Canal multiple, Multiple channel, Canal múltiple, Capacité canal, Channel capacity, Capacidad canal, Codage linéaire, Linear coding, Codificación lineal, Diffusion donnée, Data broadcast, Difusion dato, Diffusion information, Information dissemination, Difusión información, Estimation canal, Channel estimation, Estimación canal, Estimation paramètre, Parameter estimation, Estimación parámetro, Multidestinataire, Multicast, Multidestinatario, Méthode sous espace, Subspace method, Método subespacio, Méthode vectorielle, Vector method, Método vectorial, Noeud structure, Nodes, Nudo estructura, Source information, Information source, Fuente información, multisource multicast, network coding, noncoherent communication, randomized network coding, subspace coding
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
School of Computer and Communication Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland
ISSN:
0018-9448
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.23938015
Database:
PASCAL Archive

Weitere Informationen

We consider the problem of multicasting information from a source to a set of receivers over a network where intermediate network nodes perform randomized linear network coding operations on the source packets. We propose a channel model for the noncoherent network coding introduced by Koetter and Kschischang in [6], that captures the essence of such a network operation, and calculate the capacity as a function of network parameters. We prove that use of subspace coding is optimal, and show that, in some cases, the capacity-achieving distribution uses subspaces of several dimensions, where the employed dimensions depend on the packet length. This model and the results also allow us to give guidelines on when subspace coding is beneficial for the proposed model and by how much, in comparison to a coding vector approach, from a capacity viewpoint. We extend our results to the case of multiple source multicast that creates a virtual multiple access channel.