INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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)
Classification (TC) systems enable the generation of the traffic under consideration. Deep Learning (DL)-based TC algorithms have surpassed older methods in complicated and current circumstances, even when traffic is encrypted. The majority of works on TC assume traffic flows on a wired network managed by the same network management domain. This assumption limits the capability of TC systems in wireless networks since undetected traffic transmissions from users in other network domains or identified ones with no traffic context in a shared spectrum can negatively effect users' traffic on one network domain. To address this issue, we present a unique method for achieving TC at any tier of the radio network stack. We suggest a spectrum-based approach.
Keywords:
Deep Learning, Convolution neural network, Framework,TC
Cite Article:
"NETWORK RESOURCE MANAGEMENT THROUGH MACHINE LEARNING USING 5G", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.e98-e103, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307413.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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