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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 6 | Month- June 2026

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  Authors

Himanshu Kumar,Dr. Priyanka Jaiswal

  Keywords

Cognitive Radio Networks, Spectrum Sensing, Energy Detection, Wireless Communication, Dynamic Spectrum Access, Signal Processing, Spectrum Efficiency

  Abstract


The spread of wireless technology has users scrambling to find more usable radio spectrums. The search has shown inefficiencies in licensed spectrum bands and shown that they are getting harder to find. Without interfering with major users, Cognitive Radio Networks (CRNs) enable secondary users to opportunistically access unused spectrum. Spectrum sensing, which enables users to determine which frequencies are unoccupied and hence suitable for transmission, is one useful feature of CRNs. Energy detection is the most straightforward and rapid of the several spectrum sensing techniques. However, there are disadvantages to the conventional approach of energy sensing. A poor signal to noise ratio (SNR), a high rate of false alarms, and uncertainty with noise levels are some of these disadvantages under fading circumstances. These constraints have a significant impact on overall network performance and reduce the efficiency of spectrum sensing. Reliable and precise spectrum sensing utilizing adaptive threshold, noise variance, and informed detection at low SNR is the basis of our enhanced energy detection technique, which is presented in this study. The model can be improved by increasing detection probability and decreasing false alarm and missed detection probabilities. Contrasting the traditional energy detection approach with the recommended update improves communication reliability, spectrum occupancy, and spectrum quality. This study also discusses feasible enhancing application situations, issues with the proposed improvement, and future research objectives for AI and ML-based spectrum sensing.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2606098

  Paper ID - 309805

  Author type - Indian Author

  Page Number(s) - a828-a837

  Pubished in - Volume 14 | Issue 6 | June 2026

  DOI (Digital Object Identifier) -    https://doi.org/10.56975/ijcrt.v14i6.309805

  No Of Downloads - 42

  Author Country - India, 226010, Lucknow, Lucknow, 226010, Others area

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2606098

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2606098

  Published Paper PDF Downlaod: - download.php?file=IJCRT2606098

  Cite this article

Himanshu Kumar,Dr. Priyanka Jaiswal,   "An Enhanced Energy Detection Approach for Reliable Spectrum Sensing in Cognitive Radio Networks", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 6, pp.a828-a837, June 2026, Available at :http://www.ijcrt.org/papers/IJCRT2606098.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

IJCRT is Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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