Published November 2010 | Version v1
Journal article

Cognitive radio resource allocation based on coupled chaotic genetic algorithm

  • 1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876 (China)

Description

A coupled chaotic genetic algorithm for cognitive radio resource allocation which is based on genetic algorithm and coupled Logistic map is proposed. A fitness function for cognitive radio resource allocation is provided. Simulations are conducted for cognitive radio resource allocation by using the coupled chaotic genetic algorithm, simple genetic algorithm and dynamic allocation algorithm respectively. The simulation results show that, compared with simple genetic and dynamic allocation algorithm, coupled chaotic genetic algorithm reduces the total transmission power and bit error rate in cognitive radio system, and has faster convergence speed

Availability note (English)

Available from http://dx.doi.org/10.1088/1674-1056/19/11/119501

Additional details

Publishing Information

Journal Title
Chinese Physics. B
Journal Volume
19
Journal Issue
11
Journal Page Range
[8 p.]
ISSN
1674-1056

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45007021
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ALGORITHMS; CHAOS THEORY; COMPARATIVE EVALUATIONS; COUPLING; DATA TRANSMISSION; ERRORS; VELOCITY
Descriptors DEC
COMMUNICATIONS; EVALUATION; MATHEMATICAL LOGIC; MATHEMATICS