5G, Artificial Intelligence (AI) and Machine Learning (ML)

RE: 5G / AI / ML – Major Competence Shift – Artificial Intelligence / Machine Learning / Deep Learning

5G is now linked to Automation, Machine Learning and narrow (or specific) Artificial Intelligence.

Compared to earlier 3GPP Releases, 5G simplifies the Network Architecture and is geared up to time sensitive Machine to Machine (M2M) Use-Cases. At the same time there is a fast shift to Automation. The use of VNFs – Virtual Network Functions – and Virtualisation (Hypervisor Type 1 and 2) technology has enabled traditional Telecommunication Nodes to be deployed towards a Cloud based environment, i.e. Data Centers.

A high degree current tasks / activities will be Automated and decisions with qualified checks will be made by AI / ML software agents. Existing Telecommunication Engineers engineers will need to “morph” into IT/DevOps and Data Science / programming roles. Using AI / ML, required resources can be automatically scaled – elastic scaling.

At the time (2019) of writing we are seeing 5G CSPs “re-skilling” their staff for 5G-Automation, etc..

VBR/ Wallis Dudhnath

Reference:

3GPP – 3gpp.org/news-events/3gpp-news/1987-imt2020_workshop

3gpp.org/technologies/presentations-white-papers

Docker – docker.com

ONAP – onap.org

Openstack – openstack.org

OSM – osm.etsi.org (Open Source MANO)