Published November 2010
| Version v1
Journal article
Cognitive radio resource allocation based on coupled chaotic genetic algorithm
Creators
- 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/10.1088/1674-1056/19/11/119501Additional details
Identifiers
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