Network-Slicing Recognition

Network-Slicing Recognition

Registration ID: IJNRD_223960

Published ID: IJNRD2406310

DOI: Click Here to Get

Sakshi Gupta , Ajeet Gupta

Artificial intelligence, Machine learning, Network slicing, 5G communication, Convolutional neural network, Batch normalization, Data packets, Latency, Quality of service.

To manage the next generation apps and services, the telecom sector is undergoing a huge digital transformation thanks to the deployment of ML, AI, feedback-based automation, and advanced analytics. AI ideas are not new; numerous companies and technological verticals are already using the algorithms used in machine learning and deep learning. The capacity to predict data proactively, quickly, and accurately is crucial given the massive volume of information that 5G will likely carry along with it and its expanding data. Future communication networks will need to make decisions based on data because of the surge in traffic and the acceleration of 5G network performance by artificial intelligence (AI). 5G networks provide end-to-end network resource allocation utilizing the notion of Network Slicing (NS), and mobile operators are searching for a programmable solution that will enable them to handle several independent tenants on the same physical infrastructure. Network slicing will be essential to the implementation of numerous 5G use cases, apps, and services. The functions of network slicing will offer end-to-end isolation across slices and allow each slice to be customized according to the needs of the service (bandwidth, coverage, security, latency, dependability, etc.). The task is to build a Machine Learning model that will be able to proactively detect and eliminate threats based on incoming connections thereby selecting the most appropriate network slice, even in case of a network failure.

Published Paper   E-Certificate

"Network-Slicing Recognition", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 6, page no.d212-d219, June-2024, Available :https://ijnrd.org/papers/IJNRD2406310.pdf

Volume 9 Issue 6, June-2024

Pages : d212-d219

Paper Reg. ID: IJNRD_223960

Published Paper Id: IJNRD2406310

Downloads: 000121149

Research Area: Electronics & Communication Engg. 

Country: Dehradun, Uttarakhand, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406310.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406310

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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