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- Title
IMPROVED RESOURCE ALLOCATION IN 5G USING DEEP LEARNING.
- Authors
Sachidhanandam, P.; Preeya, V. Amirtha; Impa, B. H.; Kumar, M. Ranjith
- Abstract
All wireless equipment, including terminals, base stations, and phones, functions as a component of a single interconnected system, it is subject to attacks from a wide variety of different forms of cyber threats. This elucidates the relevance of considering the aforementioned attacks in order to prevent them from finally acquiring control of the complete system environment. The term cybersecurity refers to the set of preventative measures that are implemented to safeguard an information technology infrastructure against being corrupted or destroyed. The results of a performance evaluation that was carried out on the DRL at several different node densities. When there is a requirement to analyze a network in terms of its throughput, delivery ratio, and latency, NS2 is the tool that is utilized. In this article, a comparison and contrast between the Lagrange Duality Method technique is presented.
- Subjects
INFORMATION technology; RESOURCE allocation; DEEP learning; INFORMATION superhighway; 5G networks; CYBERTERRORISM
- Publication
ICTACT Journal on Communication Technology, 2022, Vol 13, Issue 4, p2826
- ISSN
0976-0091
- Publication type
Article
- DOI
10.21917/ijct.2022.0419