Result: Optimization of centralized power control by genetic algorithm in a DS-CDMA cellular system
Title:
Optimization of centralized power control by genetic algorithm in a DS-CDMA cellular system
Authors:
Source:
Advances in natural computation (Changsha, 27-29 August 2005)Lecture notes in computer science.
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 4 ref 3
Original Material:
INIST-CNRS
Subject Terms:
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, Accès multiple répartition code, Code division multiple access, Acceso múltiple división código, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme optimal, Optimal algorithm, Algoritmo óptimo, Commande centralisée, Centralized control, Control centralizado, Commande optimale, Optimal control, Control óptimo, Commande puissance, Power control, Control potencia, Commande vectorielle, Vector control, Control vectorial, Contrôle optimal, Optimal control (mathematics), Control óptimo (matemáticas), Optimisation, Optimization, Optimización, Solution optimale, Optimal solution, Solución óptima, Système cellulaire, Cell system, Sistema celular, Taux convergence, Convergence rate, Relación convergencia, Algorithme cellulaire, Cellular algorithm, Algoritmo celular
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dept. of Information and Communications, Nanjing University of Information Science and Technology, China
Dept. of Electrical and Electronic Engineering, Niigata University, Japan
Dept. of Electrical and Electronic Engineering, Niigata University, Japan
ISSN:
0302-9743
Rights:
Copyright 2005 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.17135535
Database:
PASCAL Archive
Further Information
Here, we propose an approach to solve the power control issue in a DS-CDMA cellular system using genetic algorithms (GAs). The optimal centralized power control (CPC) vector is characterized and its optimal solution for CPC is presented using GAs in a DS-CDMA cellular system. Emphasis is put on the balance of services and convergence rate by using GAs.