Introduction to a New Era of Autonomous Networks
The recent TM Forum Digital Transformation World (DTW) in Copenhagen, Denmark, marked a significant milestone in the journey toward highly autonomous networks. Yang Chaobin, Executive Vice President and CEO of the ICT Business Group of Huawei, emphasized the importance of deploying highly autonomous networks (AN) as a strategic consensus among mainstream communication service providers (CSPs) globally. This approach, focusing on layered intelligence and open collaboration, aims to address the challenges in large-scale AN deployment by implementing real-time autonomous closed loops within individual domains based on single-domain intelligence and achieving global collaborative orchestration through cross-domain intelligence.
The industry’s move towards autonomous networks is driven by the need for superior network experiences, simplified operations and maintenance (O&M), and agile innovation. With over 100 industry partners signing the Autonomous Networks Manifesto and approximately 30 CSPs releasing AN blueprints and launching related practices, the momentum is clear. However, challenges such as the coexistence of multiple network generations and vendors, inefficient integration, and fulfilling diverse service requirements pose significant hurdles. To overcome these, Yang proposed an industry approach for Layered Intelligence and Open Collaboration, which promises to deliver a range of benefits to CSPs, including addressing real-time responsiveness challenges and significantly reducing integration complexity.
The concept of autonomous networks is not just about technological advancement but also about creating a new paradigm for network operation and service delivery. It involves the integration of artificial intelligence (AI) technologies to enable networks to self-configure, self-heal, and self-optimize. This not only improves network efficiency and reduces costs but also enhances the user experience by providing more personalized and responsive services. As the industry moves forward with autonomous networks, it’s essential to consider the broader implications, including the potential for job displacement, the need for new skill sets, and the importance of ensuring security and privacy in highly autonomous systems.
Accelerating Toward Highly Autonomous Networks
Huawei’s approach to achieving highly autonomous networks involves several key strategies. First, it emphasizes the importance of layered intelligence, where intelligence is distributed across different layers of the network to enable real-time decision-making and action. Second, it advocates for open collaboration, recognizing that no single vendor can achieve autonomous networks alone and that industry-wide cooperation is necessary. Finally, it highlights the need for a unified standard, such as the A2A-T standard, to streamline cross-layer collaboration and facilitate the integration of autonomous networks into production scenarios.
The benefits of autonomous networks are multifaceted. For CSPs, they offer the potential to reduce costs, improve efficiency, and enhance user experience. Autonomous networks can automatically detect and resolve issues, reducing the need for manual intervention and minimizing downtime. They can also optimize network performance in real-time, ensuring that users receive the best possible service quality. Furthermore, autonomous networks can enable CSPs to offer more personalized and innovative services, differentiation themselves in a competitive market and driving revenue growth.
Enhancing Uplink Capabilities for Mobile AI
At the Mobile AI Industry Summit during MWC Shanghai 2026, Huawei unveiled its GigaUplink Solution, designed to enhance uplink capabilities for mobile networks and drive innovation in the Mobile AI era. The solution leverages upgraded multi-antenna technology and intelligent spectrum, device-network, and network collaboration algorithms to offer an effective approach to improving uplink capabilities. This is crucial as Mobile AI applications, such as live streaming, video conferencing, and online gaming, require high-quality, low-latency uplink connections to function seamlessly.
Industry leaders, including Dr. Wen Ku, Chairman of the China Communications Standards Association (CCSA), and Barbara Pareglio, Senior Technical Director of GSMA, emphasized the importance of developing a unified set of Mobile AI service assessment metrics and the need for uplink enhancement, latency assurance, and terminal network cloud synergy. The GigaUplink Solution is positioned to address these challenges, enabling operators to build a solid foundation for Mobile AI and capitalize on new business opportunities emerging from the shift towards balanced uplink and downlink traffic structures.
Building AI-Optical Networks for the Future
The AI-ON Summit at MWC Shanghai 2026 explored the future of optical networks in the AI era, with a focus on building AI-centric all-optical target networks. Huawei introduced 10 innovative AI-Optical Network (AI-ON) products and solutions, empowering operators to drive the widespread adoption of AI services. The summit highlighted the importance of low-latency, high-capacity, reliable, and intelligent optical networks as the foundation of new digital infrastructure, supporting the evolution of optical networks from basic transmission pipelines to network-intelligence convergence.
According to China’s 15th Five-Year Plan and the International Telecommunication Union’s (ITU) ION-2030 vision, the future of optical networks is closely tied to AI, with optical networks and AI empowering each other. The AI-ON solutions unveiled by Huawei are designed to support this vision, enabling operators to upgrade their business models and drive new growth in the AI era. By leveraging AI-ON, operators can efficiently support widespread computing applications and advance toward high-level autonomous networks, driving innovation and competitiveness in the global communications industry.
Reshaping Products and Services with AI
Eric Yang, President of Huawei Carrier Business, highlighted the potential for carriers to reshape products and services with AI, driving a value leap with token monetization. By integrating AI into core services, carriers can increase average revenue per user (ARPU) and deliver personalized, automated smart home services and personal call assistants. Carriers can also offer standardized integrated solutions for small and medium-sized enterprises (SMEs), combining all-in-one appliances, digital employee platforms, token services, and private lines, to accelerate token monetization.
The future of the communications industry is closely tied to the ability of carriers to adapt and innovate in the AI era. By reshaping products and services with AI and upgrading compute-network infrastructure, carriers can unlock new growth opportunities and drive efficient token monetization. This requires a two-pronged approach, focusing on both the development of AI-enabled services and the evolution of underlying infrastructure to support them. As the industry moves forward, the ability to leverage AI to drive innovation and growth will be critical for carriers seeking to remain competitive and relevant.
Looking Ahead to a Future of Autonomous Networks and AI
As the communications industry continues to evolve, the themes of autonomous networks and AI will remain at the forefront. The potential for these technologies to transform the industry is vast, from enabling more efficient and responsive networks to driving innovation and growth through new services and business models. However, realizing this potential will require ongoing investment in research and development, collaboration among industry stakeholders, and a commitment to addressing the challenges and risks associated with these technologies.
The future of autonomous networks and AI in the communications industry is not just about technology; it’s about creating a new paradigm for network operation, service delivery, and business innovation. It’s about leveraging technology to drive human progress and improve the quality of life for individuals and communities around the world. As we look ahead to this future, it’s essential to consider the broader implications of these technologies and to work together to ensure that their benefits are realized by all. The journey toward highly autonomous networks and AI-enabled services has just begun, and the path forward will be shaped by the choices and innovations of the industry in the years to come.
