Cognitive Radio Software Testbed using Dual Optimization in Genetic Algorithm

Cognitive Radio is considered as a potential solution to improve spectrum utilization via opportunistic spectrum sharing. In this paper, we present a software testbed which is developed to implement the cognitive radio system. The basic functions of cognitive radio are explored and implemented, incl...

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Bibliographic Details
Main Authors: Jae Moung Kim, Sung Hwan Sohn, Ning Han, Guanbo Zheng, Young Min Kim, Joo Kwan Lee
Format: Conference Proceeding
Language:English
Subjects:
Chromium
Cognitive radio
Engines
Frequency
Genetic Algorithm
Genetic algorithms
Modeling
Radio spectrum management
Software systems
Software Testbed
Software testing
System Modeling
System testing
Online Access:Request full text
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Summary:Cognitive Radio is considered as a potential solution to improve spectrum utilization via opportunistic spectrum sharing. In this paper, we present a software testbed which is developed to implement the cognitive radio system. The basic functions of cognitive radio are explored and implemented, including spectrum sensing and dynamic spectrum management. The testbed is able to verify the overall performance of cognitive radio technology. Furthermore, it provides an important system model to verify the effectiveness of the new algorithms in future study. The simulation on the testbed demonstrates that primary and secondary users can coexist. This is able to convince regulatory authorities as well as primary users to enable the implementation of cognitive radio technology.
ISSN:2166-5370
2166-5419
DOI:10.1109/CROWNCOM.2008.4562484