Summary:
- Huawei won the Leading Core Network Solution award at Network X 2026 for its AgenticCore solution designed for next-generation core networks.
- Built on AI-native capabilities, Huawei AgenticCore drives deep integration between 5G-A and AI, continuously advancing innovation across network intelligence, service intelligence, O&M intelligence, and AI-native infrastructure to accelerate next-generation core network evolution.
[Vienna, Austria, October 15, 2026] At Network X 2026, Huawei received the Leading Core Network Solution award for its AgenticCore solution designed for next-generation core networks. Tailored to the evolving demands of new connections and services in the AI era, this solution harnesses AI to drive core network service innovation and network capability upgrades. It enables operators to move beyond traditional connectivity services to intent-driven, experience-guaranteed, and intelligent services, showcasing Huawei's technological innovations and industry practices in advancing next-generation core networks.
Huawei AgenticCore solution for Next Generation Core Network
As AI agents are increasingly integrated into devices and service scenarios, the objects connected to mobile networks are expanding from people and things to AI agents. This shift requires networks to evolve from traditional data transmission to task-level experience assurance, computing-network resource coordination, and cross-ecosystem agent interconnection. In response to this trend, Huawei AgenticCore, with AI-native capabilities at its core, promotes the deep integration of 5G-A and AI, supporting the next-generation core network architecture evolution and service innovation.
Huawei AgenticCore Drives Innovation Across Four Key Areas
- Service Intelligence: For three core services—home broadband, voice calling, and mobile networks—Huawei's AI Service Framework (AISF) enables unified intent recognition, advanced task orchestration, and precise service recommendations. This helps operators reshape service interaction models and deliver more personalized and intelligent user experiences.
- Network Intelligence: By deeply integrating AI with network element capabilities, Huawei enables networks to provide service experience awareness, intelligent resource scheduling, and differentiated experience assurance. This offers more flexible network service capabilities for both human users and AI agents, and lays the foundation for future cross-ecosystem agent interconnection.
- O&M Intelligence: Huawei's CORESpirit core network autonomy solution brings together professional models, skill libraries, and telecom domain knowledge graphs to enable proactive fault detection, intelligent diagnosis, and automated closed-loop management. This drives the evolution of core network O&M toward intent-driven, higher-level autonomous operations.
- AI Native Infrastructure: Huawei's next-generation intelligent telco cloud platform, Telco Intelligent Converged Cloud (TICC), features a hyper-converged architecture that manages heterogeneous computing power, pools resources, and enables unified scheduling. This delivers stable, agile infrastructure for efficient AI service and agent operations.
Orpheus Liu, Vice President and Chief Marketing Officer of Huawei Cloud Core Network Product Line, stated: "In the agentic era, Huawei is committed to helping operators build next-generation core networks with AgenticCore. Our goal is to make AI a native network capability—not just an external add-on—so we can achieve true network autonomy and intelligent services. We will work with industry peers worldwide to advance AI Native standards and unlock new business value from the network."
To meet the demands of next-generation core networks, Huawei continues to drive innovation in AI-native architecture. With support for the intent interface and Data & AI Plane (DAP), the next-generation core network can better understand the task intents of terminals and agents, dynamically match network and computing resources, and provide task-oriented intelligent experience assurance. This is not only an upgrade of existing network capabilities but also an architectural evolution to address new connection and service demands in the agentic era.
Looking ahead, Huawei Cloud Core Network will continue working with global operators and industry partners to deepen AI and core network integration. Together, we will advance next-generation core network technologies and industries, giving operators smarter and more agile infrastructure for network transformation, service innovation, and industry growth in the agentic era.
FAQs:
Q1: What is the AI Native core network architecture?
The AI Native core network architecture represents the industry consensus on where next-generation core networks are headed. Defined by the intent interface and Data & AI Plane (DAP), it weaves AI deeply into interfaces, functions, and processes—rather than layering it on as an add-on. This architecture supports the access of massive AI agents and enables task-level service assurance.
Q2: What problems do AoNR, WCN, and ACN solve for agent services?
Agent over New Radio (AoNR) guarantees task latency, meeting the end-to-end latency requirements of terminal-cloud collaborative AI inference. The Wide-Area Computing Network (WCN) enables collaborative scheduling of computing power across the whole domain, improving computing power utilization. And the Agent Computing Network (ACN) provides security capabilities for cross-domain multi-agent collaboration, supporting complex distributed intelligent tasks.
Q3: Why does the next-generation core network need terminal-network synergy capabilities based on intent interfaces?
After the number of objects connected to the mobile network expands to a massive number of AI agents, fixed signaling processes can no longer identify terminal task requirements quickly enough. Terminal-network synergy through intent interfaces allows the network to obtain terminal task intents in real time, dynamically adjusts intelligent access policies, and delivers task-level experience assurance—enabling the core network to make task-oriented intelligent decisions.