NDLI: Cooperative blind localization of primary user in a cognitive radio environment

Content Provider	IEEE Xplore Digital Library
Author	Magowe, Kagiso Kandeepan, Sithamparanathan
Copyright Year	2014
Description	Author affiliation: School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3001 (Magowe, Kagiso; Kandeepan, Sithamparanathan)
Abstract	Blind localization has emerged as an important topic addressing the challenges faced by any cognitive radio (CR) network. The estimation of the primary user (PU) position in a CR network is made difficult because generally cooperation between the PU and the secondary user (SU) does not exist. This presents a challenge since PU parameters such as transmit power, path loss exponent, noise variance and the location of the PU are not known. Hence, the need for a robust, accurate and range-free localization technique that does not require any knowledge of such parameters. In this paper, we investigate the localization performance when combining the database technique and the centroid localization techniques. We adopt a two-stage localization strategy. In the first stage, a mean-square error (MSE) method is used to find a close match between the actual received power and the database power and subsequently the PU estimates. Centroid localization (CL) and weighted centroid localization (WCL) techniques are then adopted in the second-stage as fusion strategies to give an estimate of the PU. We also analyse the root-mean squared error (RMSE) of the CL and WCL techniques. We further compare our results with the direct centroid localization techniques without involving the database.
Starting Page	1
Ending Page	8
File Size	296672
Page Count	8
File Format	PDF
ISBN	9781479952557
DOI	10.1109/ICSPCS.2014.7021127
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Estimation Cognitive radio Standards Shadow mapping Signal to noise ratio
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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