Optimal Sensing Time and Power Allocation in Dynamic Primary-User Traffic Model Based Cognitive Radio Networks
Summary :
In cognitive radio networks, the dynamic traffic of the primary user can lead to not only the spectrum sensing performance degradation, but also co-channel interference between primary user and secondary user, and, furthermore, the secondary system throughput can be decreased. Taking into account the impact of the dynamic primary-user traffic on spectrum sensing performance and the secondary throughput, we study the optimization problem of maximizing the secondary throughput under the constraints of probability of detection, average interference and transmit power budget, and derive its optimal solution. The optimal power allocation scheme and the algorithm that can find the optimal sensing time are also proposed. The proposed algorithm is of great practical significance in the scenario where primary-user traffic varies very quickly, for example, in public safety spectrum band.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E97-B No.1 pp.196-203
- Publication Date
- 2014/01/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E97.B.196
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Errong PEI
Chongqing University of Posts and Telecommunications
Bin SHEN
Chongqing University of Posts and Telecommunications
Fang CHENG
Chongqing University of Posts and Telecommunications
Xiaorong JING
Chongqing University of Posts and Telecommunications
Keyword
Latest Issue
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Errong PEI, Bin SHEN, Fang CHENG, Xiaorong JING, "Optimal Sensing Time and Power Allocation in Dynamic Primary-User Traffic Model Based Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 1, pp. 196-203, January 2014, doi: 10.1587/transcom.E97.B.196.
Abstract: In cognitive radio networks, the dynamic traffic of the primary user can lead to not only the spectrum sensing performance degradation, but also co-channel interference between primary user and secondary user, and, furthermore, the secondary system throughput can be decreased. Taking into account the impact of the dynamic primary-user traffic on spectrum sensing performance and the secondary throughput, we study the optimization problem of maximizing the secondary throughput under the constraints of probability of detection, average interference and transmit power budget, and derive its optimal solution. The optimal power allocation scheme and the algorithm that can find the optimal sensing time are also proposed. The proposed algorithm is of great practical significance in the scenario where primary-user traffic varies very quickly, for example, in public safety spectrum band.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.196/_p
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@ARTICLE{e97-b_1_196,
author={Errong PEI, Bin SHEN, Fang CHENG, Xiaorong JING, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimal Sensing Time and Power Allocation in Dynamic Primary-User Traffic Model Based Cognitive Radio Networks},
year={2014},
volume={E97-B},
number={1},
pages={196-203},
abstract={In cognitive radio networks, the dynamic traffic of the primary user can lead to not only the spectrum sensing performance degradation, but also co-channel interference between primary user and secondary user, and, furthermore, the secondary system throughput can be decreased. Taking into account the impact of the dynamic primary-user traffic on spectrum sensing performance and the secondary throughput, we study the optimization problem of maximizing the secondary throughput under the constraints of probability of detection, average interference and transmit power budget, and derive its optimal solution. The optimal power allocation scheme and the algorithm that can find the optimal sensing time are also proposed. The proposed algorithm is of great practical significance in the scenario where primary-user traffic varies very quickly, for example, in public safety spectrum band.},
keywords={},
doi={10.1587/transcom.E97.B.196},
ISSN={1745-1345},
month={January},}
Copy
TY - JOUR
TI - Optimal Sensing Time and Power Allocation in Dynamic Primary-User Traffic Model Based Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 196
EP - 203
AU - Errong PEI
AU - Bin SHEN
AU - Fang CHENG
AU - Xiaorong JING
PY - 2014
DO - 10.1587/transcom.E97.B.196
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2014
AB - In cognitive radio networks, the dynamic traffic of the primary user can lead to not only the spectrum sensing performance degradation, but also co-channel interference between primary user and secondary user, and, furthermore, the secondary system throughput can be decreased. Taking into account the impact of the dynamic primary-user traffic on spectrum sensing performance and the secondary throughput, we study the optimization problem of maximizing the secondary throughput under the constraints of probability of detection, average interference and transmit power budget, and derive its optimal solution. The optimal power allocation scheme and the algorithm that can find the optimal sensing time are also proposed. The proposed algorithm is of great practical significance in the scenario where primary-user traffic varies very quickly, for example, in public safety spectrum band.
ER -
English
