IEICE TRANSACTIONS on Communications
Optimizing Sensing Scheduling for Cooperative Spectrum Sensing in Cognitive Radio Networks
Summary :
In this paper, we consider optimal sensing scheduling for sequential cooperative spectrum sensing (SCSS) technique in cognitive radio networks (CRNs). Activities of primary users (PU) on a primary channel are captured by using a two states discrete time Markov chain process and a soft combination is considered at the FC. Based on the theory of optimal stopping, we propose an algorithm to optimize the cooperative sensing process in which the FC sequentially asks each CU to report its sensing result until the stopping condition that provides the maximum expected throughput for the CRN is satisfied. Simulation result shows that the performance of the proposed scheme can be improved by further shortening the reporting overhead and reducing the probability of false alarm in comparison to other schemes in literature. In addition, the collision ratio on the primary channel is also investigated.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E100-B No.5 pp.884-892
- Publication Date
- 2017/05/01
- Publicized
- 2016/12/01
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2016EBP3187
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Tran-Nhut-Khai HOAN
University of Ulsan
Vu-Van HIEP
University of Ulsan
Insoo KOO
University of Ulsan
Keyword
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Tran-Nhut-Khai HOAN, Vu-Van HIEP, Insoo KOO, "Optimizing Sensing Scheduling for Cooperative Spectrum Sensing in Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 5, pp. 884-892, May 2017, doi: 10.1587/transcom.2016EBP3187.
Abstract: In this paper, we consider optimal sensing scheduling for sequential cooperative spectrum sensing (SCSS) technique in cognitive radio networks (CRNs). Activities of primary users (PU) on a primary channel are captured by using a two states discrete time Markov chain process and a soft combination is considered at the FC. Based on the theory of optimal stopping, we propose an algorithm to optimize the cooperative sensing process in which the FC sequentially asks each CU to report its sensing result until the stopping condition that provides the maximum expected throughput for the CRN is satisfied. Simulation result shows that the performance of the proposed scheme can be improved by further shortening the reporting overhead and reducing the probability of false alarm in comparison to other schemes in literature. In addition, the collision ratio on the primary channel is also investigated.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3187/_p
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@ARTICLE{e100-b_5_884,
author={Tran-Nhut-Khai HOAN, Vu-Van HIEP, Insoo KOO, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimizing Sensing Scheduling for Cooperative Spectrum Sensing in Cognitive Radio Networks},
year={2017},
volume={E100-B},
number={5},
pages={884-892},
abstract={In this paper, we consider optimal sensing scheduling for sequential cooperative spectrum sensing (SCSS) technique in cognitive radio networks (CRNs). Activities of primary users (PU) on a primary channel are captured by using a two states discrete time Markov chain process and a soft combination is considered at the FC. Based on the theory of optimal stopping, we propose an algorithm to optimize the cooperative sensing process in which the FC sequentially asks each CU to report its sensing result until the stopping condition that provides the maximum expected throughput for the CRN is satisfied. Simulation result shows that the performance of the proposed scheme can be improved by further shortening the reporting overhead and reducing the probability of false alarm in comparison to other schemes in literature. In addition, the collision ratio on the primary channel is also investigated.},
keywords={},
doi={10.1587/transcom.2016EBP3187},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Optimizing Sensing Scheduling for Cooperative Spectrum Sensing in Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 884
EP - 892
AU - Tran-Nhut-Khai HOAN
AU - Vu-Van HIEP
AU - Insoo KOO
PY - 2017
DO - 10.1587/transcom.2016EBP3187
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2017
AB - In this paper, we consider optimal sensing scheduling for sequential cooperative spectrum sensing (SCSS) technique in cognitive radio networks (CRNs). Activities of primary users (PU) on a primary channel are captured by using a two states discrete time Markov chain process and a soft combination is considered at the FC. Based on the theory of optimal stopping, we propose an algorithm to optimize the cooperative sensing process in which the FC sequentially asks each CU to report its sensing result until the stopping condition that provides the maximum expected throughput for the CRN is satisfied. Simulation result shows that the performance of the proposed scheme can be improved by further shortening the reporting overhead and reducing the probability of false alarm in comparison to other schemes in literature. In addition, the collision ratio on the primary channel is also investigated.
ER -
English
