Article Abstract
International Journal of Trends in Emerging Research and Development, 2024;2(4):170-175
5g network management aspects enhanced with machine learning
Author : Divyanshu Rao and Dr. Shubham Dubey
Abstract
The aim was to analyze, propose, and improve the state-of-the-art techniques to bring 5G networks one step closer to what we envision it could be. Techniques such as D2D/IoT (Device-to-Device/Internet of Things), Mesh Networks, Ultra-densification, Dynamic channel selection, Network sharing, Network slicing, Multi-connectivity/Multi-link, Carrier Aggregation, and the utilization of new frequencies such as 3.5 GHz and narrow band were analyzed, improved, and presented, achieving good results in all tested cases. These proposals could be further tested in a real environment and formulated by the research community and standards to be integrated into the new versions of 3GPP for 5G networks and future generations.
Keywords
5G, network, management, machine learning, number and development