.

ISSN 2063-5346
For urgent queries please contact : +918130348310

GENERATIVE AI & ML MODELS FOR 6G COMMUNICATIONS AND INTERNET OF EVERYTHING (IOE)

Main Article Content

Dr. Sowmya Naik1, Ms. Sathya M2, Prof. B. Sakthivel3*, Prof. B. Ramesh4, Prof. C. Prakash Narayanan5
» doi: 10.48047/ecb/2023.12.si10.00347

Abstract

At a faster rate than any previous mobile generation, 5G is expanding. Our independent is to role of service providers in managing this ongoing significant traffic growth while lowering energy consumption as new use cases emerge. For industries like manufacturing, minerals extraction, energy utilities, marine and processing, airports, shipping terminals, smart cities, the health care sector and more, outstanding performance communications are the building blocks of digital transformation. In order to enable the acceptance, use, and expansion of new and developing, data-driven technologies, private 4G and 5G networks offer dependable, secure, and agile connection. Wireless communication service providers are facing new hurdles with the arrival of 5G and incorporating Artificial Intelligence capabilities into networks is one way the sector is addressing these complications. Researchers are now focusing on 6G as the rate of deployment of fifth generation (5G) infrastructure rises and standards move further to steady state. The buzz in the field of research has been sparked by new use cases and the possibility for performance gaps. Early efforts are focused on important foundational research that will help achieve target objectives for the next generation of communication networks. Our objective is to assist service providers in controlling this persistently significant traffic growth while lowering energy usage. To develop cutting-edge network solutions that let service providers launch new services while emitting fewer greenhouse gases. This paper focuses on ubiquitous AI, which could significantly alter the upcoming 6G network. An effective network is needed to deliver the higher rates and reduced latency performance improvements. Cutting- edge a situation when there is a lot of interference, the network's infrastructure must dynamically distribute resources, modify the flow of traffic and process signals. By enhancing networks and developing new waveforms, Artificial Intelligence (AI) as well as Machine Learning (ML) models will serve as a key enabler of 6G technology. The goal of the work items under consideration for this research is to give the Indian industry the boost it needs to establish an ecosystem through requirement and awareness building, validation, the incubation process and product-market acceleration in the areas of 6G, green technologies, quantum communication and future oriented Passive Optical Network Architecture.

Article Details