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Primary User Localization Schemes in Cooperative Sensing

by L. M. Schalk, H. Srikanth Kamath
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 13
Year of Publication: 2014
Authors: L. M. Schalk, H. Srikanth Kamath
10.5120/18434-9640

L. M. Schalk, H. Srikanth Kamath . Primary User Localization Schemes in Cooperative Sensing. International Journal of Computer Applications. 105, 13 ( November 2014), 1-5. DOI=10.5120/18434-9640

@article{ 10.5120/18434-9640,
author = { L. M. Schalk, H. Srikanth Kamath },
title = { Primary User Localization Schemes in Cooperative Sensing },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 13 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number13/18434-9640/ },
doi = { 10.5120/18434-9640 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:35.729742+05:30
%A L. M. Schalk
%A H. Srikanth Kamath
%T Primary User Localization Schemes in Cooperative Sensing
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 13
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In cognitive radio networks secondary users access licensed frequency bands if they are free to use. Since it is inevitable that transmissions of the licensed users must not be interfered with different sensing and transmission techniques have to be utilized by the secondary users. For example the knowledge of a primary user location can be exploited to reduce the interference with that particular user. Thereby applicable techniques are directed transmissions and transmission power control of the secondary users. However the localization is not trivial and is tainted with uncertainties due to estimation errors. In this paper several different primary user localization schemes based on Received Signal Strength (RSS) measurements which try to reduce the localization error to a minimum with reasonable effort are presented. Some of them are adopted from wireless sensor networks.

References
  1. Beibei Wang and K. J. R. Liu. Advances in cognitive radio networks: A survey. Selected Topics in Signal Processing, IEEE Journal of, 5(1):5–23, Feb 2011.
  2. S. Kandeepan, S. Reisenfeld, T. C. Aysal, D. Lowe, and R. Piesiewicz. Bayesian tracking in cooperative localization for cognitive radio networks. In Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th, pages 1–5, April 2009.
  3. Maosong Huang and Yan Guo. A path loss exponent based localization algorithm in cognitive radio networks. In Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on, volume 3, pages 307–310, May 2012.
  4. Sunghun Kim, Hyoungsuk Jeon, and Joongsoo Ma. Robust localization with unknown transmission power for cognitive radio. In Military Communications Conference, 2007. MILCOM 2007. IEEE, pages 1–6, Oct 2007.
  5. Hongbo Fan, Guanglin He, Siqian Tao, and Hongyu Xu. Weighted centroid localization algorithm based on improved rssi ranging. In Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on, pages 544–547, Dec 2013.
Index Terms

Computer Science
Information Sciences

Keywords

cognitive radio networks cooperative sensing user localization received signal strength least squares weighted centroid

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