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On the sensing time and achievable throughput in sensor-enabled cognitive radio networks

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On the sensing time and achievable throughput in sensor-enabled cognitive radio networks. / G.c., Deepak; Navaie, Keivan.

Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on. VDE, 2013. p. 1-5.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

G.c., D & Navaie, K 2013, On the sensing time and achievable throughput in sensor-enabled cognitive radio networks. in Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on. VDE, pp. 1-5, IEEE ISCC, Ilmenau, Germany, 27/08/13.

APA

G.c., D., & Navaie, K. (2013). On the sensing time and achievable throughput in sensor-enabled cognitive radio networks. In Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on (pp. 1-5). VDE.

Vancouver

G.c. D, Navaie K. On the sensing time and achievable throughput in sensor-enabled cognitive radio networks. In Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on. VDE. 2013. p. 1-5

Author

G.c., Deepak ; Navaie, Keivan. / On the sensing time and achievable throughput in sensor-enabled cognitive radio networks. Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on. VDE, 2013. pp. 1-5

Bibtex

@inproceedings{eec0f8f6fff74a85ae32ed6db5f239a7,
title = "On the sensing time and achievable throughput in sensor-enabled cognitive radio networks",
abstract = "In cognitive radio networks, the accuracy of the spectrum sensing is vital to protect the primary network and is often a function of channel sensing duration. The choice of the sensing duration, on the other hand, directly affects the achievable throughput of the secondary system. In this paper, we propose a spectrum sensing method based on cognitive monitoring network (CMoN) which is a network of sensors deployed in the network coverage area which carries out collaborative spectrum sensing. Consequently, the achievable throughput can be maximized irrespective of the sensing duration. In this technique, the secondary users do not need to be equipped with spectrum sensors and the availability of the spectrum is assessed from the CMoN through a signaling protocol. Here we further propose a two-tier decision fusion mechanism at the base station and show that through the proposed method a significant improvement in the network throughput is achieved. Numerical results also confirm that the proposed method outperforms the conventional spectrum sensing in terms of achievable throughput.",
author = "Deepak G.c. and Keivan Navaie",
year = "2013",
language = "English",
isbn = "9783800735297",
pages = "1--5",
booktitle = "Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on",
publisher = "VDE",

}

RIS

TY - GEN

T1 - On the sensing time and achievable throughput in sensor-enabled cognitive radio networks

AU - G.c., Deepak

AU - Navaie, Keivan

PY - 2013

Y1 - 2013

N2 - In cognitive radio networks, the accuracy of the spectrum sensing is vital to protect the primary network and is often a function of channel sensing duration. The choice of the sensing duration, on the other hand, directly affects the achievable throughput of the secondary system. In this paper, we propose a spectrum sensing method based on cognitive monitoring network (CMoN) which is a network of sensors deployed in the network coverage area which carries out collaborative spectrum sensing. Consequently, the achievable throughput can be maximized irrespective of the sensing duration. In this technique, the secondary users do not need to be equipped with spectrum sensors and the availability of the spectrum is assessed from the CMoN through a signaling protocol. Here we further propose a two-tier decision fusion mechanism at the base station and show that through the proposed method a significant improvement in the network throughput is achieved. Numerical results also confirm that the proposed method outperforms the conventional spectrum sensing in terms of achievable throughput.

AB - In cognitive radio networks, the accuracy of the spectrum sensing is vital to protect the primary network and is often a function of channel sensing duration. The choice of the sensing duration, on the other hand, directly affects the achievable throughput of the secondary system. In this paper, we propose a spectrum sensing method based on cognitive monitoring network (CMoN) which is a network of sensors deployed in the network coverage area which carries out collaborative spectrum sensing. Consequently, the achievable throughput can be maximized irrespective of the sensing duration. In this technique, the secondary users do not need to be equipped with spectrum sensors and the availability of the spectrum is assessed from the CMoN through a signaling protocol. Here we further propose a two-tier decision fusion mechanism at the base station and show that through the proposed method a significant improvement in the network throughput is achieved. Numerical results also confirm that the proposed method outperforms the conventional spectrum sensing in terms of achievable throughput.

M3 - Conference contribution/Paper

SN - 9783800735297

SP - 1

EP - 5

BT - Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on

PB - VDE

ER -