Optimization of Learning Time for Learning-Assisted Rendezvous Channel in Cognitive Radio System
-
- TAKYU Osamu
- Department of Electrical & Electronic Engineering, Shinshu University
-
- YAMAKITA Takayuki
- Department of Electrical & Electronic Engineering, Shinshu University
-
- FUJII Takeo
- Advanced Wireless Communication Research Center (AWCC), The University of Electro-Communications
-
- OHTA Mai
- Department of Electronics Engineering and Computer Science, Fukuoka University
-
- SASAMORI Fumihito
- Department of Electrical & Electronic Engineering, Shinshu University
-
- HANDA Shiro
- Department of Electrical & Electronic Engineering, Shinshu University
Search this article
Abstract
This paper derives the optimal learning time for the learning-assisted rendezvous channel. One problem with the dynamic spectrum access system of cognitive radio is access channel mismatch between two wireless terminals. In the learning-assisted rendezvous channel, before exchanging packets for link connection, the rate of channel occupancy by the other system is estimated within the learning time; it is referred to as the channel occupancy rate (COR). High speed packet exchange is made possible by selecting a low COR channel. However, the optimal learning time and the impact of COR estimation errors have not been clarified yet. This paper analyzes the time to rendezvous channel (TTR), where TTR is the time needed to complete the rendezvous with a certain probability. The results indicate that the learning time and TTR have a concave relationship which means that the optimal learning time can be determined.
Journal
-
- IEICE Transactions on Communications
-
IEICE Transactions on Communications E98.B (2), 360-369, 2015
The Institute of Electronics, Information and Communication Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390001204376958336
-
- NII Article ID
- 130004841626
-
- NII Book ID
- AA11226510
-
- ISSN
- 17451345
- 09168516
-
- HANDLE
- 10091/18348
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- IRDB
- Crossref
- CiNii Articles
- KAKEN
-
- Abstract License Flag
- Disallowed