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| Wideband Sensing for Cognitive Radio Systems in Heterogeneous Next Generation Networks
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Full
text: |
 PDF(741KB) |
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Source |
International Journal of Computer Networks (IJCN) |
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Table of Contents |
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Download
Complete Issue PDF(3.2MB) |
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Volume: 3 Issue: 2 |
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Pages: 43-158 |
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Publication
Date: May / June 2011 |
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ISSN
(Online): 1985-4129 |
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Pages |
135 - 150 |
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Author(s) |
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Published
Date |
31-05-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Cognitive Radio, Interference Characterization., Spectrum Sensing |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Directory of Open Access Journals (DOAJ) |
| 2. Google Scholar |
| 3. Google Scholar |
| 4. iSEEK |
| 5. Docstoc |
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| Mobile Next Generation Network (MNGN) is characterized as heterogeneous network where variety of access technologies are meant to coexist. Decisions on choosing an air interface that meets a particular need at a particular time will be shifted from the network’s side to (a more intelligent) user’s side. On top of that network operators and regularities have come to the realization that assigned spectrum bands are not utilized as they should be. Cognitive radio stands out as a candidate technology to address many emerging issues in MNGN such as capacity, quality of service and spectral efficiency. As a transmission strategy, cognitive radio systems depend greatly on sensing the radio environment. In this paper, we present a novel approach for interference characterization in cognitive radio networks based on wideband chirp signal. The results presented show that improved sensing accuracy is maintained at tolerable system complexity. |
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| Ahmed M. Barnawi : Colleagues
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