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

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

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

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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(CrossRef DOI)

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  Published Paper Details:

  Paper Title

Allocating 5G Resources for Effective Bandwidth Usage using Machine Learning

  Authors

  Kousar Ali Khan,  Gurinder Kaur Sodhi

  Keywords

Resource Allocation, 5G, Machine Learning

  Abstract


The era of 5G networks has arrived due to the quick development of broadband technology. These networks promise unmatched speed, low latency, and improved connectivity. This paper does a thorough analysis of 5G network performance, emphasising novel resource distribution techniques and important Quality of Service (QoS) indicators. According to our research, 5G networks often achieve ten times faster data transfer rates than their 4G counterparts. competitors through thorough analysis and real-world models..Furthermore, our results show a significant 30% decrease in latency, highlighting 5G technology's effectiveness and responsiveness. Furthermore, our research explores sophisticated resource allocation techniques, presenting a new method that maximises network resources and leads to a 15% rise in the overall effectiveness of the network. Empirical data from comprehensive field testing and simulations support these results, offering strong proof of the project's influence on 5G network performance. The study's findings might have a significant impact on the future of telecoms as 5G adoption picks up speed globally. They will provide network operators, legislators, and industry participants with useful advice on how to build a more dependable and efficient 5G ecosystem.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2412995

  Paper ID - 274366

  Page Number(s) - j1-j8

  Pubished in - Volume 12 | Issue 12 | December 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Kousar Ali Khan,  Gurinder Kaur Sodhi,   "Allocating 5G Resources for Effective Bandwidth Usage using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.j1-j8, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412995.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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