Standardizing excellence: How the shift to ‘All-Bands-5G-A’ is powering the AI revolution

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 de