en.Wedoany.com Reported - Vodafone, in collaboration with Google Cloud and TM Forum, has released a technical white paper providing a practical framework for the telecommunications industry's transition from manual operations to intent-based autonomous networks. The document aims to help operators move away from reactive management models and build autonomous systems capable of self-healing and predicting network demands.
Titled "Self-Optimizing Autonomous Networks: An Implementation Guide," the white paper proposes that operators no longer need to handle time-consuming tasks manually. Instead, they adopt an intent-based model: after setting desired outcomes, the network's cognitive system automatically determines and executes the necessary actions. The framework integrates Vodafone's engineering network capabilities, Google Cloud's AI technology, and TM Forum's expertise in autonomous network industry standards, marking a new phase in Vodafone's autonomous network strategy.
The white paper explains how to leverage AI, data analytics, and closed-loop automation to create self-optimizing networks. As telecommunications networks become increasingly complex, traditional manual tuning and imperative automation are no longer sufficient to meet demands. Intent-based closed-loop mechanisms can define target metrics, such as latency and throughput, and autonomously observe, analyze, decide, and act to maintain desired outcomes when conditions change across network business, service, and resource layers. The white paper also emphasizes combining network controllers with intelligent cross-domain reasoning, where local AI handles immediate tasks like base station congestion, while centralized AI agents comprehensively analyze data sources such as weather forecasts and social media to interpret high-level business objectives and predict demand.
The white paper notes that AI agents need to work in coordination with knowledge graphs, network data lakes, and digital twins to support network planning and simulation. Human oversight must also be incorporated, setting policies, objectives, and guardrails for AI agents to ensure that significant changes require "human-in-the-loop" approval. For example, operators can set availability and latency requirements for 5G services, and these objectives will be translated into automated operations coordinated across the network to eliminate bottlenecks. The white paper recommends a hybrid cloud and public cloud deployment combination, with low-latency tasks running on hybrid clouds close to the network, while business reasoning and AI capabilities are supported by centralized environments like Google Cloud.
The white paper concludes that autonomous networks offer operators opportunities to improve customer experience and create value. According to STL Partners data, the potential benefit for each operator is approximately $800 million per year. Realizing this value requires mastering hierarchical closed-loop orchestration across network layers, maintaining cross-domain coordination, and applying the right tools in the right places, ultimately unlocking higher levels of network autonomy and enhancing customer experience.
