Treffer: A self-organizing channel assignment algorithm: A cellular learning automata approach
Title:
A self-organizing channel assignment algorithm: A cellular learning automata approach
Authors:
Source:
IDEAL 2003 : intelligent data engineering and automated learning (Hong Kong, 21-23 March 2003, revised papers)Lecture notes in computer science. :119-126
Publisher Information:
Berlin: Springer, 2003.
Publication Year:
2003
Physical Description:
print, 12 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Algorithme apprentissage, Learning algorithm, Algoritmo aprendizaje, Algorithme réparti, Distributed algorithm, Algoritmo repartido, Allocation canal, Channel allocation, Asignación canal, Apprentissage, Learning, Aprendizaje, Autoapprentissage, Self learning, Autodidactismo, Automate apprentissage, Learning automata, Automate cellulaire, Cellular automaton, Autómata celular, Autoorganisation, Self organization, Autoorganización, Commande répartie, Distributed control, Control repartido, Etat transition, Transition state, Estado transitorio, Gestion réseau, Network management, Gestión red, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Offre, Offer, Oferta, Probabilité transition, Transition probability, Probabilidad transición, Radiotéléphonie cellulaire, Cellular radio, Réseau cellulaire, Cell network, Red celular, Réseau téléphonique, Telephone network, Red telefónica, Système modulaire, Modular system, Sistema modular, Algorithme cellulaire, Cellular algorithm, Algoritmo celular, Problème affectation, Assignment problem, Problema asignación
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Soft Computing Laboratory, Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran, Islamic Republic of
ISSN:
0302-9743
Rights:
Copyright 2004 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
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:
Computer science; theoretical automation; systems
Accession Number:
edscal.15692456
Database:
PASCAL Archive
Weitere Informationen
Introduction of micro-cellular networks offer a potential increase in capacity of cellular networks, but they create problems in management of the cellular networks. A solution to these problems is self-organizing channel assignment algorithm with distributed control. In this paper, we first introduce the model of cellular learning automata in which learning automata are used to adjust the state transition probabilities of cellular automata. Then a cellular learning automata based self-organizing channel assignment algorithm is introduced. The simulation results show that the micro-cellular network can self-organize by using simple channel assignment algorithm as the network operates.