A semi range-based iterative localization algorithm for cognitive radio networks

Zhiyao Ma, Khaled Letaief, Wei Chen, Zhigang Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In cognitive radio networks, knowledge of the position of the primary users is very important as it can be used to avoid harmful interference to the primary users, while at the same time be exploited to improve the spectrum utilization. In this paper, a semi range-based localization algorithm is proposed for the secondary users in cognitive radio networks to estimate the positions of the primary users. The basic idea of the proposed algorithm is to take advantage of the estimated detection probabilities, which can be obtained from the binary detection indictors of the secondary users, in order to estimate the distances between themselves and the primary users. The accuracy of the proposed localization algorithm is further improved by introducing an iterative least squares algorithm. The Cramer- Rao lower bound of the mean square error of the proposed localization estimator is also derived. Extensive simulations will then show that the actual mean square error achieved by the proposed localization algorithm is reasonably close to the lower bound, which demonstrates that the proposed method is near optimal.

Original languageEnglish
Title of host publication2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Budapest, Hungary
Duration: 5 Apr 20098 Apr 2009

Other

Other2009 IEEE Wireless Communications and Networking Conference, WCNC 2009
CountryHungary
CityBudapest
Period5/4/098/4/09

Fingerprint

Cognitive radio
Mean square error

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ma, Z., Letaief, K., Chen, W., & Cao, Z. (2009). A semi range-based iterative localization algorithm for cognitive radio networks. In 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings [4917545] https://doi.org/10.1109/WCNC.2009.4917545

A semi range-based iterative localization algorithm for cognitive radio networks. / Ma, Zhiyao; Letaief, Khaled; Chen, Wei; Cao, Zhigang.

2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings. 2009. 4917545.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ma, Z, Letaief, K, Chen, W & Cao, Z 2009, A semi range-based iterative localization algorithm for cognitive radio networks. in 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings., 4917545, 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009, Budapest, Hungary, 5/4/09. https://doi.org/10.1109/WCNC.2009.4917545
Ma Z, Letaief K, Chen W, Cao Z. A semi range-based iterative localization algorithm for cognitive radio networks. In 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings. 2009. 4917545 https://doi.org/10.1109/WCNC.2009.4917545
Ma, Zhiyao ; Letaief, Khaled ; Chen, Wei ; Cao, Zhigang. / A semi range-based iterative localization algorithm for cognitive radio networks. 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings. 2009.
@inproceedings{2363de947f45487a9bbea057c8cd3fc5,
title = "A semi range-based iterative localization algorithm for cognitive radio networks",
abstract = "In cognitive radio networks, knowledge of the position of the primary users is very important as it can be used to avoid harmful interference to the primary users, while at the same time be exploited to improve the spectrum utilization. In this paper, a semi range-based localization algorithm is proposed for the secondary users in cognitive radio networks to estimate the positions of the primary users. The basic idea of the proposed algorithm is to take advantage of the estimated detection probabilities, which can be obtained from the binary detection indictors of the secondary users, in order to estimate the distances between themselves and the primary users. The accuracy of the proposed localization algorithm is further improved by introducing an iterative least squares algorithm. The Cramer- Rao lower bound of the mean square error of the proposed localization estimator is also derived. Extensive simulations will then show that the actual mean square error achieved by the proposed localization algorithm is reasonably close to the lower bound, which demonstrates that the proposed method is near optimal.",
author = "Zhiyao Ma and Khaled Letaief and Wei Chen and Zhigang Cao",
year = "2009",
doi = "10.1109/WCNC.2009.4917545",
language = "English",
isbn = "9781424429486",
booktitle = "2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings",

}

TY - GEN

T1 - A semi range-based iterative localization algorithm for cognitive radio networks

AU - Ma, Zhiyao

AU - Letaief, Khaled

AU - Chen, Wei

AU - Cao, Zhigang

PY - 2009

Y1 - 2009

N2 - In cognitive radio networks, knowledge of the position of the primary users is very important as it can be used to avoid harmful interference to the primary users, while at the same time be exploited to improve the spectrum utilization. In this paper, a semi range-based localization algorithm is proposed for the secondary users in cognitive radio networks to estimate the positions of the primary users. The basic idea of the proposed algorithm is to take advantage of the estimated detection probabilities, which can be obtained from the binary detection indictors of the secondary users, in order to estimate the distances between themselves and the primary users. The accuracy of the proposed localization algorithm is further improved by introducing an iterative least squares algorithm. The Cramer- Rao lower bound of the mean square error of the proposed localization estimator is also derived. Extensive simulations will then show that the actual mean square error achieved by the proposed localization algorithm is reasonably close to the lower bound, which demonstrates that the proposed method is near optimal.

AB - In cognitive radio networks, knowledge of the position of the primary users is very important as it can be used to avoid harmful interference to the primary users, while at the same time be exploited to improve the spectrum utilization. In this paper, a semi range-based localization algorithm is proposed for the secondary users in cognitive radio networks to estimate the positions of the primary users. The basic idea of the proposed algorithm is to take advantage of the estimated detection probabilities, which can be obtained from the binary detection indictors of the secondary users, in order to estimate the distances between themselves and the primary users. The accuracy of the proposed localization algorithm is further improved by introducing an iterative least squares algorithm. The Cramer- Rao lower bound of the mean square error of the proposed localization estimator is also derived. Extensive simulations will then show that the actual mean square error achieved by the proposed localization algorithm is reasonably close to the lower bound, which demonstrates that the proposed method is near optimal.

UR - http://www.scopus.com/inward/record.url?scp=70349175169&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349175169&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2009.4917545

DO - 10.1109/WCNC.2009.4917545

M3 - Conference contribution

AN - SCOPUS:70349175169

SN - 9781424429486

BT - 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings

ER -