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Contributed Article
The global telecom networks are under tremendous pressure to build networks capable of sustaining the explosive, bandwidth-hungry requirements of mobile Artificial Intelligence (AI). With the growing popularity of AI applications and tools among enterprises and individual users, the industry is realizing that the existing networks do not have the capacity to meet the demands of emerging AI-driven traffic.
According to GSMA, AI-driven traffic is likely to lead to a three-fold increase in cellular data traffic by 2030 compared to 2024 base. AI applications and devices have already started to record a massive growth over the past year, with global monthly active users surpassing one billion and token consumption surging by hundreds of times.
While this is a massive opportunity for the service provider, AI-generated traffic places new demands on the network. To begin with, traditional mobile networks were designed for more downlink consumer traffic. The data suggests that uplink speeds continue to be far lower than peak downlink performance, making it difficult to ensure performance for AI inference-based applications. AI inference traffic is also prone to unexpected surges and demands millisecond-level response times. To put it simply, networks are emerging as bottlenecks and may prevent enterprises and individuals from leveraging the full potential of AI.
In addition, the service providers face business challenges of diminishing returns even as traffic volumes continue to rise. Emerging use cases, including intelligent connected vehicles and industrial digitalization, are creating new demands that existing infrastructure is not designed to address. To capture the Mobile AI opportunity, the service providers need to build a network architecture capable of delivering differentiated services and experiences that can be monetized. Furthermore, service providers must evolve their offerings from vanilla connectivity solutions to new innovative use cases that are based on differentiated experiences.
With commercial 6G deployments likely only by 2030, present-day networks can’t address the demands of AI-driven traffic. In this scenario, 5G-Advanced (5G-A) networks, the next evolutionary step between 5G and 6G, is helping service providers address the explosive growth in AI-driven traffic without impacting performance. It has already been deployed in more than 300 cities around the world.
In this context, Huawei’s All Bands to 5G-A strategy is designed to address these challenges faced by the service providers. It helps service providers maximize network performance, energy efficiency, and user experience while minimizing capital outlay. This approach not only addresses the present-day challenge of surging AI workloads but also lays the groundwork for 6G.
It focuses on using a range of solutions to evolve the entire spectrum, including low, medium and high frequency bands, towards 5G-A. These solutions are designed to help service providers maximize the performance of 5G-A while ensuring energy efficiency and user experience. On one hand, it focuses on unlocking the untapped potential of the existing sub-3 GHz and sub-6 GHz allocations through spectrum refarming and targeted technology upgrades. On the other hand, it leverages the Upper 6 GHz (U6 GHz) band as the foundation of next-generation network architecture.
Significantly, it helps service providers align network capabilities with the evolving needs of the customers, thus unlocking new revenue streams beyond basic connectivity. Huawei’s All-Band Path to 5G-A strategy is designed to help service providers accelerate the transition of networks to build a more sustainable and scalable model. Through coordinated use of spectrum across bands, the strategy helps operators tap into both high-end consumer and enterprise markets, creating a broader and more resilient growth engine in the AI-driven telecom landscape. It allows service providers to move from selling commoditized connectivity solutions to delivering differentiated, experience-led services, helping them to boost monetization of their investments while providing new experiences to their customers.
The U6 GHz opportunity
The U6 GHz band has emerged as a key band for 5G-A evolution since it provides a large bandwidth and superior coverage. It is a critical enabler of next-generation services, going beyond improved capacity and coverage to support uplink-intensive use cases such as immersive XR, industrial digital twins and real-time AI applications at scale. Its inclusion within evolving 5G-A standards further reinforces its role in future network architectures.
Several markets, including China, the United Arab Emirates (UAE) and Brazil, have already moved ahead with spectrum allocation, while a growing availability of compatible chips and devices indicates that U6 GHz ecosystem is maturing rapidly.
Significantly, U6 GHz is not just a 5G-A band. It is engineered as a smooth on-ramp to 6G, protecting long-term spectrum investments of service providers. It stands as the most vital resource for the Mobile AI Era, favored by leading operators in many countries for its ability to drive digital economic growth. By offering a potent mix of high-uplink performance and broad-bandwidth capabilities, it ensures that 5G-A networks can seamlessly evolve into 6G while supporting complex needs like FWA and high-density hotspots. To ensure this power reaches every corner of the digital landscape, an ecosystem of diverse base station form factors will emerge, providing the architectural flexibility to meet the specific deployment needs of every scenario—from dense urban centres to specialized industrial environments.
U6 GHz enables continuous urban coverage, supports massive terminal access in high-density scenarios, and provides the bandwidth headroom that mobile AI applications require. To put it simply, it gives 5G-A networks the ability to deliver extensive coverage, high capacity, and high speed. In addition to mobile AI, services also include low-altitude economy, local and wide area networks to business (ToB) field, and internet of vehicles (IoV). As a large-bandwidth spectrum, the U6 GHz band transforms bandwidth into an engine for diverse digital services.
To address this opportunity, Huawei has developed a comprehensive U6 GHz product portfolio, covering the entire chain from base station hardware to end-user device support, thus enabling service providers to quickly move once they deploy the spectrum.
Huawei has introduced a portfolio of U6 GHz Active Antenna Units (AAUs) to address growing outdoor coverage and capacity demands. Its flagship 256 TRx AAU uses Extremely Large Antenna Array (ELAA) design and hybrid beamforming to deliver C-band-like coverage. With advanced MU-MIMO and 400 MHz bandwidth, it supports up to 100 Gbps downlink and over 10 Gbps uplink, enabling a consistent high-speed user experience.
For indoor environments, where high concurrency and capacity are critical for AI-driven applications, Huawei has launched U6 GHz small cell solutions, which support up to 400 MHz bandwidth. On the transport side, the company has introduced new microwave solutions to support the increased bandwidth requirements of U6 GHz deployments.
As AI-driven applications continue to scale, U6 GHz is emerging as a key enabler of next-generation connectivity built from 5G-A networks. Huawei’s All Bands to 5G-A strategy and end-to-end U6 GHz portfolio offers service providers a pathway to address immediate capacity challenges while supporting long-term network evolution to 6G.
A strategy built for what comes next
As AI applications move from the edge to the mainstream, networks will need to deliver not just higher speeds but consistent performance, higher uplink capacity, and deterministic service levels. In this context, spectrum strategy is emerging as a defining factor. Service providers that transition to 5G-A and can effectively combine existing spectrum assets with new bands such as U6 GHz will be better positioned to gain from the AI opportunity.
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