T-Mobile US is testing AI to allocate radio resources on its 5G-Advanced network, with Ericsson trial results showing the biggest gains during peak traffic.

The operator is trialling AI-Managed Beamforming on live commercial traffic at scale. Chief network officer Ankur Kapoor (pictured) outlined the results in a blog post. The work focuses on sounding reference signals (SRS), short transmissions from phones that help the network measure the path between a device and a cell site and direct beams more accurately.

Due to those resources being limited, they have traditionally been allocated under fixed rules. T-Mobile instead uses a supervised-learning model trained on its network data and running on Ericsson’s RAN compute and silicon to predict where demand is rising and redirect resources accordingly.

Kapoor explained training the model on T-Mobile’s data gives it an advantage on the operator’s network over networks which do not contribute their own tuning data.

The results came from newly activated sites in New York City, but the blog did not say how many were included or give a baseline for the trial.

T-Mobile reported the biggest gains during peak hours, including about a 50% increase in advanced beamforming using full-band SRS, a 16% improvement in downlink user throughput, 12% better spectral efficiency and a 10% increase in downlink data volume.

In May, the companies reported close to 10% better spectral efficiency from a separate AI-native scheduler with link adaptation on live traffic.

Kapoor said the technology suits T-Mobile’s network because beamforming works particularly well in TDD spectrum, where uplink and downlink share the same band, and the operator has a leading position in midband TDD.

He linked the trial to rising network demand, citing Ericsson’s June 2026 Mobility Report, which reported global mobile data traffic growth of 22% year-on-year. Video accounted for about 75% of traffic and 5G subscriptions topped 3.1 billion.

Jaco du Plooy, SVP and head of the T-Mobile customer unit at Ericsson Americas, stated the trial marked another step toward networks which respond more intelligently to demand, enabled by Ericsson’s silicon.

Kapoor said 6G networks will need to sense, learn and respond to support applications such as distributed AI, robotics, vision AI and other forms of physical AI, describing T-Mobile’s nationwide 5G-Advanced network as its proving ground.

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Ericsson unveiled extended partnerships with Singtel and Telstra in two of several announcements made this week based on developing advanced network technologies and automation.

Its latest move with Singtel is a five-year pact based around advancing 5G capabilities in Singapore and accelerating adoption of AI-native applications, expanding a collaboration announced in March.

The vendor explained the latest deal establishes a longer roadmap on scaling 5G-Advanced and enabling new AI capabilities for industries.

On the latter, Singtel CEO Ng Tian Chong noted “as AI becomes more embedded in how we live and work, networks will need to support far more complex applications, from autonomous machines and real-time analytics to the AI tools people use every day”.

The Singtel agreement announced today (20 October) comes a day after Ericsson hosted the signing of a “trusted technology” declaration by officials at its headquarters during a Singaporean state visit to Sweden.

To coincide with the state visit, the vendor revealed researchers from Sweden’s Royal Institute of Technology and Nanyang Technological University in Singapore would be part of a 6G research group being co-ordinated by Ericsson.

The project is set to kick off next month to explore how new positioning technologies using AI and 6G can “catalyse safe, secure and reliable autonomous systems” with an eye to delivering applications in sectors including healthcare, transport, manufacturing, logistics and emergency services.

Telstra
Ericsson announced an extended collaboration with Telstra on autonomous networks, building on an agreement inked in October 2025.

The vendor noted initial work by the pair covered establishing a framework for exploring “business-driven use cases” while the next phase will focus on “the knowledge, trust and governance foundations needed to support the next stages of network autonomy”.

As part of this, the two will lead a working group with the aim of publishing outcomes and supporting “wider industry influence and adoption”.

Telstra chief architect Mark Sanders said “autonomous networks require more than the automation of individual tasks. They depend on a shared understanding of what the network is, what it is expected to do and how much confidence can be placed in the knowledge supporting each decision”.

“By working with Ericsson on common approaches to knowledge and trusted agency, we can help address these foundational challenges and contribute to the industry’s progress towards more interoperable and dependable network autonomy.”

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