Volume 16, Number 3

Modified O-RAN 5G Edge Reference Architecture using RNN

  Authors

M.V.S Phani Narasimham¹ and Y.V.S Sai Pragathi², ¹Wipro Technologies, India, ²Stanley College of Engineering & Technology for Women (Autonomous), India

  Abstract

This paper explores the implementation of 6G/5G standards by network providers using cloud-native technologies such as Kubernetes. The primary focus is on proposing algorithms to improve the quality of user parameters for advanced networks like car as cloud and automated guided vehicle. The study involves a survey of AI algorithm modifications suggested by researchers to enhance the 5G and 6G core. Additionally, the paper introduces a modified edge architecture that seamlessly integrates the RNN technologies into O-RAN, aiming to provide end users with optimal performance experiences. The authors propose a selection of cutting-edge technologies to facilitate easy implementation of these modifications by developers.

  Keywords

5G O-RAN, 5G-Core, AI Modelling, RNN, Tensor Flow, MEC Host, Edge Applications.