The Next Decade of Telecommunications Artificial Intelligence

TL;DR

This paper reviews the evolution of telecommunications AI from 3G to 5G and forecasts its future role in shaping 6G networks, emphasizing convergence with mobile communications and standardization efforts.

Contribution

It provides a comprehensive overview of AI's integration into telecom ecosystems, including classifications, evolution paths, and future roadmap projections for 6G and beyond.

Findings

AI significantly transforms network management and vertical applications.

Standardization bodies are shaping AI evolution in telecom ecosystems.

Future networks will heavily rely on intelligent systems and standardization efforts.

Abstract

It has been an exciting journey since the mobile communications and artificial intelligence were conceived 37 years and 64 years ago. While both fields evolved independently and profoundly changed communications and computing industries, the rapid convergence of 5G and deep learning is beginning to significantly transform the core communication infrastructure, network management and vertical applications. The paper first outlines the individual roadmaps of mobile communications and artificial intelligence in the early stage, with a concentration to review the era from 3G to 5G when AI and mobile communications started to converge. With regard to telecommunications artificial intelligence, the paper further introduces in detail the progress of artificial intelligence in the ecosystem of mobile communications. The paper then summarizes the classifications of AI in telecom ecosystems along with its evolution paths specified by various international telecommunications standardization bodies. Towards the next decade, the paper forecasts the prospective roadmap of telecommunications artificial intelligence. In line with 3GPP and ITU-R timeline of 5G & 6G, the paper further explores the network intelligence following 3GPP and ORAN routes respectively, experience and intention driven network management and operation, network AI signalling system, intelligent middle-office based BSS, intelligent customer experience management and policy control driven by BSS and OSS convergence, evolution from SLA to ELA, and intelligent private network for verticals. The paper is concluded with the vision that AI will reshape the future B5G or 6G landscape and we need pivot our R&D, standardizations, and ecosystem to fully take the unprecedented opportunities.