Performance analysis of TOA range accuracy adaptation for cognitive radio systems

Hasari Celebi; Khalid A. Qaraqe; Huseyin Arslan

doi:10.1109/VETECF.2009.5379054

Performance analysis of TOA range accuracy adaptation for cognitive radio systems

Hasari Celebi^*
, Khalid A. Qaraqe
, Huseyin Arslan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Location awareness is a prominent feature of cognitive radio (CR) systems. In order to support goal driven and autonomous location aware applications using CR systems, range accuracy adaptation is an essential task. Therefore, in this paper, performance analysis of optimal maximum likelihood (ML) time of arrival (TOA) range accuracy adaptation technique is conducted to study performance limits of location aware systems. The performance of ML-TOA range accuracy adaptation method is evaluated in dynamic spectrum access environments through computer simulations. The results show that range accuracy adaptation can be achieved by ML-TOA method with a relative error for each desired range accuracy.

Original language	English
Title of host publication	Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
DOIs	https://doi.org/10.1109/VETECF.2009.5379054
Publication status	Published - 2009
Externally published	Yes
Event	2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall - Anchorage, AK, United States Duration: 20 Sept 2009 → 23 Sept 2009

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
Country/Territory	United States
City	Anchorage, AK
Period	20/09/09 → 23/09/09

Access to Document

10.1109/VETECF.2009.5379054

Cite this

@inproceedings{b069df9fba904381b0af33a0ef18a7ae,

title = "Performance analysis of TOA range accuracy adaptation for cognitive radio systems",

abstract = "Location awareness is a prominent feature of cognitive radio (CR) systems. In order to support goal driven and autonomous location aware applications using CR systems, range accuracy adaptation is an essential task. Therefore, in this paper, performance analysis of optimal maximum likelihood (ML) time of arrival (TOA) range accuracy adaptation technique is conducted to study performance limits of location aware systems. The performance of ML-TOA range accuracy adaptation method is evaluated in dynamic spectrum access environments through computer simulations. The results show that range accuracy adaptation can be achieved by ML-TOA method with a relative error for each desired range accuracy.",

author = "Hasari Celebi and Qaraqe, \{Khalid A.\} and Huseyin Arslan",

year = "2009",

doi = "10.1109/VETECF.2009.5379054",

language = "English",

isbn = "9781424425150",

series = "IEEE Vehicular Technology Conference",

booktitle = "Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall",

note = "2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall ; Conference date: 20-09-2009 Through 23-09-2009",

}

Celebi, H, Qaraqe, KA & Arslan, H 2009, Performance analysis of TOA range accuracy adaptation for cognitive radio systems. in Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall., 5379054, IEEE Vehicular Technology Conference, 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall, Anchorage, AK, United States, 20/09/09. https://doi.org/10.1109/VETECF.2009.5379054

Performance analysis of TOA range accuracy adaptation for cognitive radio systems. / Celebi, Hasari; Qaraqe, Khalid A.; Arslan, Huseyin.
Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall. 2009. 5379054 (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Performance analysis of TOA range accuracy adaptation for cognitive radio systems

AU - Celebi, Hasari

AU - Qaraqe, Khalid A.

AU - Arslan, Huseyin

PY - 2009

Y1 - 2009

N2 - Location awareness is a prominent feature of cognitive radio (CR) systems. In order to support goal driven and autonomous location aware applications using CR systems, range accuracy adaptation is an essential task. Therefore, in this paper, performance analysis of optimal maximum likelihood (ML) time of arrival (TOA) range accuracy adaptation technique is conducted to study performance limits of location aware systems. The performance of ML-TOA range accuracy adaptation method is evaluated in dynamic spectrum access environments through computer simulations. The results show that range accuracy adaptation can be achieved by ML-TOA method with a relative error for each desired range accuracy.

AB - Location awareness is a prominent feature of cognitive radio (CR) systems. In order to support goal driven and autonomous location aware applications using CR systems, range accuracy adaptation is an essential task. Therefore, in this paper, performance analysis of optimal maximum likelihood (ML) time of arrival (TOA) range accuracy adaptation technique is conducted to study performance limits of location aware systems. The performance of ML-TOA range accuracy adaptation method is evaluated in dynamic spectrum access environments through computer simulations. The results show that range accuracy adaptation can be achieved by ML-TOA method with a relative error for each desired range accuracy.

UR - https://www.scopus.com/pages/publications/77951467929

U2 - 10.1109/VETECF.2009.5379054

DO - 10.1109/VETECF.2009.5379054

M3 - Conference contribution

AN - SCOPUS:77951467929

SN - 9781424425150

T3 - IEEE Vehicular Technology Conference

BT - Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall

T2 - 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall

Y2 - 20 September 2009 through 23 September 2009

ER -

Performance analysis of TOA range accuracy adaptation for cognitive radio systems

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