Research Article
Cognitive Radio Software Testbed using Dual Optimization in Genetic Algorithm
@INPROCEEDINGS{10.1109/CROWNCOM.2008.4562484, author={Jae Moung Kim and Sung Hwan Sohn and Ning Han and Han Zheng and Young Min Kim and Joo Kwan Lee}, title={Cognitive Radio Software Testbed using Dual Optimization in Genetic Algorithm}, proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={7}, keywords={Cognitive Radio Software Testbed System Modeling Genetic Algorithm}, doi={10.1109/CROWNCOM.2008.4562484} }- Jae Moung Kim
Sung Hwan Sohn
Ning Han
Han Zheng
Young Min Kim
Joo Kwan Lee
Year: 2008
Cognitive Radio Software Testbed using Dual Optimization in Genetic Algorithm
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2008.4562484
Abstract
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.