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[Bali, Indonesia, August 13, 2026] During the Huawei Network Summit 2026 (HNS 2026) Asia-Pacific, Huawei, together with global industry organizations and pioneers, jointly released the High-Quality 10 Gbps AI Campus Network Technical and Standard White Paper (the "White Paper") at the AI Campus Innovation Forum. The White Paper elaborates on recommended solutions for typical scenarios across education, government, and other sectors, and offers systematic guidance for building secure AI campuses.

Releasing the High-Quality 10 Gbps AI Campus Network Technical and Standard White Paper for Asia-Pacific
Key attendees included Shawn Zhao, President of the Campus Network Domain at Huawei's Data Communication Product Line; Deng Yiou, Secretary General of the Network Innovation and Development Alliance (NIDA); Sureswaran Ramadass, Chairman of the APAC IPv6 Council; Juliana Johari, Deputy Vice-Chancellor of Universiti Teknologi MARA (UiTM) in Malaysia; Mohamad Rosidi, Committee Member of Mastel; Edward Au, IEEE 802.11be (Wi-Fi 7) Technical Editor; and Dylan Du, Director of Huawei Enterprise Business Indonesia.
The White Paper defines six core capabilities: autonomous network, 10 Gbps ultra-broadband, connected everything, deterministic experience, energy saving, and full-scope security. It highlights how to build next-generation intelligent campus infrastructure by drawing on network standards from international organizations like the IPv6 Forum and NIDA, leveraging Huawei's strengths in AI, computing, and networking domains, and introducing advanced technologies such as AI agents, Wi-Fi sensing, intelligent roaming, and end-to-end security.
"In the AI era, campus networks face challenges such as surges in traffic, expanding security risks, and high O&M complexity. For this reason, they must evolve from mere connection infrastructure into intelligent foundations for productivity," said Shawn Zhao, President of the Campus Network Domain at Huawei's Data Communication Product Line, at the forum. "Huawei's Xinghe AI Campus Solution meets this need by offering three key features: superfast wireless, full-scope security, and network autonomy. It is a great fit for Asia-Pacific customers to build an intelligent, secure, and experience-centric campus network, maximizing digital and intelligent productivity."

Shawn Zhao, President of the Campus Network Domain at Huawei's Data Communication Product Line, delivering a speech
Key highlights of Huawei's Xinghe AI Campus Solution include:
• Superfast wireless: Huawei's first-of-its-kind AirEngine Wi-Fi 7 Advanced AP incorporates intelligent Coordinated Scheduling and Spatial Reuse (iCSSR), a multi-AP coordination technology and also an anticipated Wi-Fi 8 innovation, to double the single-user speed in continuous networking scenarios.
• Full-scope security: Huawei's AI clustering-based endpoint identification technology automatically recognizes dumb terminals with 95% accuracy, while Smart Anomaly Detection (SmartAD) technology blocks anomalies in seconds, ensuring asset security. The exclusive Wi-Fi Shield and end-to-end Post-Quantum Cryptography (PQC) guarantee connectivity security. Wi-Fi CSI sensing technology secures sensitive spaces, while the industry's first iGuard AP—provides privacy security 24/7.
• Network autonomy: iFlow for all-flow experience analysis enables poor-QoE demarcation in minutes and experience observability. With AI-powered global decision-making and minute-level fault locating, 80% of wireless faults are automatically resolved.
In the keynote speech, Juliana Johari, Deputy Vice-Chancellor of UiTM, said, "As UiTM pursues deeper digital development, Wi Fi 7 and iMaster NCE are powering our next-gen campus connectivity. Reliable, high-capacity networks support seamless teaching, research and daily operations, helping us create an agile digital ecosystem for our students, educators, and researchers."
Looking ahead, Huawei will continue to work closely with Asia-Pacific customers and partners to translate the advanced concepts and technologies advocated in the White Paper into real-world applications across various industries. These efforts will drive intelligent industrial upgrading in the AI era.