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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Machine Learning Techniques for improving Spectrum Sensing in Satellite Communication System: Review
Authors Name: Sakshi sirohiya , Amit Baghel
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IJRTI_181731
Published Paper Id: IJRTI2203013
Published In: Volume 7 Issue 3, March-2022
DOI: http://doi.one/10.1729/Journal.30097
Abstract: Several spectrum sensing detection strategies have been proposed in recent years, including special range detection calculations based on the maximum a posterior (MAP) rule, energy detection, and others. Spectrum sensing plays an important role in enabling cognitive radio (CR) technologies for the next generation of wireless communication systems. All of these methods require setting thresholds, as well as prior knowledge of the noise distribution. Cooperative spectrum sensing is used to improve the sensing performance. When GEO (geostationary) and NGEO (non-geostationary) resultant systems coexist on the same recurrence, the nongeostationary system should not create a harmful barrier to the GEO. Several sensing methods have been proposed in recent years, including specific spectrum sensing algorithms based on the maximum a posterior (MAP) rule, energy detection, and others. The machine learning calculations in this paper are the most advanced for spectrum detection. With 2000 dataset measurements, we can also calculate location probability, false alarm probability, response time, miss detection, throughput and accuracy.
Keywords: Terms such as the Maximum a posteriori (MAP), higher order moments (HOM), hypothesis testing, false alarm probability, probability of detection have been used to describe spectrum sensing and cognitive satellite communication.
Cite Article: "Machine Learning Techniques for improving Spectrum Sensing in Satellite Communication System: Review", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 3, page no.73 - 76, March-2022, Available :http://www.ijrti.org/papers/IJRTI2203013.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2203013
Registration ID:181731
Published In: Volume 7 Issue 3, March-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.30097
Page No: 73 - 76
Country: Sagar, Madhya Pradesh, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2203013
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2203013
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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