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Huawei Unveils AI-Centric 5.5G Solutions

In a groundbreaking presentation at MWC Barcelona 2025, Huawei's Vice President, Cao Ming, introduced innovative AI-centric 5.5G solutions aimed at ushering in a new era in mobile artificial intelligence. This announcement emphasizes the rapid advancements in mobile AI and highlights its potential to significantly transform mobile networks in three key areas: user experience, operations and maintenance (OM), and business models.

Cao stated, "Mobile artificial intelligence is on the rise, driving essential transformations in the mobile industry. By leveraging 5.5G solutions powered by intent-based networks, operators can harness these emerging opportunities through enhanced AI utilization, efficient operations, and multi-faceted service monetization."

Three Transformative Aspects of Mobile AI

Enhanced User Experience

The shift in user experience moves away from simple downlink communications to involving multi-dimensional interactions. This change indicates a growing focus on person-to-AI communication as well as AI-to-AI interactions. Users now demand increased capabilities, such as stronger uplink provisions for multimodal engagements with AI, reduced latency for real-time AI interactions, and universally accessible AI resources, even without cellular connections.

Evolving Network Operations and Maintenance

On another front, the operations and maintenance processes in networks are transitioning from an autonomous Level 3 (AN L3) to a more complex Level 4 (AN L4). With the anticipated escalation of AI-driven traffic, there will likely be a significant rise in energy consumption across devices, networks, and cloud services. The increasing number of AI connections also leads to intricate operational demands, underscoring the need for a higher degree of network autonomy to bolster productivity.

Shift in Business Models

Furthermore, the approach to monetization is moving from data volume-centric models to multi-factor monetization. This transformation encourages operators to transition from traditional data volume metrics to monetization strategies that focus on enhancing user experience. The growing popularity of AI services paves the way for a transition from connectivity-oriented monetization to value-based models.

Intent-Based 5.5G Solutions

Huawei’s intent-based AI solutions, designed for 5.5G, provide operators with reliable infrastructure to support mobile AI effectively. Noteworthy solutions such as GigaGear, GreenPulse, and GainLeap are critical for fostering these transformations. Each of these solutions enhances user experience, improves productivity, and creates new business opportunities.

• - GigaGear emphasizes intent-based resource collaboration across various dimensions such as time, frequency, space, and power, ensuring dynamic and efficient network resource management relevant to different user scenarios. This provides AI applications with a highly adaptable and diverse user experience.
• - GreenPulse focuses on intent-driven automation to maximize spectral and energy efficiency, leveraging multi-agent collaborations to facilitate precise energy-saving automation that adheres to zero-loss principles, thus guaranteeing high levels of network autonomy without intervention or delays.
• - GainLeap enables operators to achieve an intent-driven user experience and value monetization. Utilizing an intelligent RAN service engine (RISE), GainLeap allows on-demand service orchestration while ensuring openness in network functions, thereby enabling operators to offer a broad range of user experiences.

In summary, Huawei's AI-centric 5.5G solutions encompass a wide array of 5G-AA products that cater to various scenarios and promote intent-driven end-to-end automation in mobile networks through seamless collaboration between 5G-AA products and RISE.

Cao concluded, "The introduction of these pioneering intelligent 5.5G solutions is just the beginning. We are committed to collaborating with all our partners to continue innovating and developing new solutions that can keep pace with the evolving demands of mobile artificial intelligence."