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On distances in uniformly random networks

Author
HAENGGI, Martin1
[1] Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46556, United States
Source

IEEE transactions on information theory. 2005, Vol 51, Num 10, pp 3584-3586, 3 p ; ref : 13 ref

CODEN
IETTAW
ISSN
0018-9448
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Poisson point process random graphs stochastic geometry wireless networks
Keyword (fr)
Espace euclidien Fonction densité Graphe aléatoire Loi gamma Mesure de distance Milieu aléatoire Noeud structure Plus proche voisin Processus Poisson Processus ponctuel Réseau télécommunication Télécommunication sans fil
Keyword (en)
Euclidean space Density function Random graph Gamma distribution Distance measurement Random medium Nodes Nearest neighbour Poisson process Point process Telecommunication network Wireless telecommunication
Keyword (es)
Espacio euclidiano Función densidad Grafo aleatorio Ley gama Medición distancia Medio aleatorio Nudo estructura Vecino más cercano Proceso Poisson Proceso puntual Red telecomunicación Telecomunicación sin hilo
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04B Telecommunications / 001D04B02 Systems, networks and services of telecommunications / 001D04B02G Transmission and modulation (techniques and equipments)

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17139376

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

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