IEICE TRANSACTIONS on Communications
Optimization of Learning Time for Learning-Assisted Rendezvous Channel in Cognitive Radio System
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E98-B No.2 pp.360-369
- Publication Date
- 2015/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E98.B.360
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Osamu TAKYU
Shinshu University
Takayuki YAMAKITA
Shinshu University
Takeo FUJII
The University of Electro-Communications
Mai OHTA
Fukuoka University
Fumihito SASAMORI
Shinshu University
Shiro HANDA
Shinshu University
Keyword
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Osamu TAKYU, Takayuki YAMAKITA, Takeo FUJII, Mai OHTA, Fumihito SASAMORI, Shiro HANDA, "Optimization of Learning Time for Learning-Assisted Rendezvous Channel in Cognitive Radio System" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 2, pp. 360-369, February 2015, doi: 10.1587/transcom.E98.B.360.
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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.360/_p
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@ARTICLE{e98-b_2_360,
author={Osamu TAKYU, Takayuki YAMAKITA, Takeo FUJII, Mai OHTA, Fumihito SASAMORI, Shiro HANDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimization of Learning Time for Learning-Assisted Rendezvous Channel in Cognitive Radio System},
year={2015},
volume={E98-B},
number={2},
pages={360-369},
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.},
keywords={},
doi={10.1587/transcom.E98.B.360},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Optimization of Learning Time for Learning-Assisted Rendezvous Channel in Cognitive Radio System
T2 - IEICE TRANSACTIONS on Communications
SP - 360
EP - 369
AU - Osamu TAKYU
AU - Takayuki YAMAKITA
AU - Takeo FUJII
AU - Mai OHTA
AU - Fumihito SASAMORI
AU - Shiro HANDA
PY - 2015
DO - 10.1587/transcom.E98.B.360
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2015
AB - 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.
ER -
English
