In Tirana, Albania, Vodafone is testing an approach to mobile network optimisation that goes beyond software: physically rotating and tilting a mobile mast antenna using an AI-controlled mechanical positioning unit supplied by HUMAX Networks.
Vodafone describes the trial as an early example of “Physical AI” in telecoms. Its algorithm analyses network demand and local conditions, decides where coverage is most needed and instructs the mechanism to reposition the antenna. The company says the system can also consider factors such as the weather when determining where to focus the strongest signal.
The trial site overlooks a busy shopping centre. Vodafone’s example is that the antenna can focus capacity towards shoppers during the day and then redirect coverage towards a nearby residential area as evening internet usage increases. Repositioning currently takes around 20 to 30 minutes. Vodafone says it could technically happen faster, but the movement has been deliberately slowed to reduce energy consumption.
The mechanism is not the large industrial robotic arm that the announcement’s headline might bring to mind. It is a compact antenna-positioning system installed between the panel and its supporting structure.
How the HUMAX OCRA system works
The equipment comes from HUMAX Networks and forms part of its OCRA solution, short for Optical Compass Robot Arm. The Optical Compass measures the antenna’s azimuth to establish its physical orientation, while the Robot Arm makes fine-grained rotation and tilt adjustments. An optional OC Controller can provide communication between OCRA and the operator’s server.
For the Vodafone trial, HUMAX says Vodafone’s AI-based system analysed real-time network conditions at the site, identified the preferred antenna orientation and instructed the Robot Arm to adjust the panel accordingly. HUMAX positions the technology as a way of responding more flexibly to changing traffic conditions while reducing the need to dispatch engineers to sites.
OCRA itself is not entirely new. HUMAX has previously described deployments associated with stadiums, major public events and Urban Air Mobility trials in South Korea. Its broader system can incorporate optical azimuth measurement, a controller and physical antenna alignment.
But remote antenna adjustment is not new
It is important to distinguish Vodafone’s trial from the remote antenna-control capabilities already used in mobile networks.
Operators have been using Remote Electrical Tilt, or RET, controlled through Antenna Interface Standards Group (AISG) interfaces, for many years. RET changes the vertical direction of the radio beam by adjusting components inside the antenna. The antenna panel, its mounting brackets and its physical bearing on the mast remain fixed.
AISG specifications also cover antenna functions such as Remote Azimuth Steering and Remote Azimuth Beamwidth. These can alter aspects of horizontal coverage in suitably designed antennas without mechanically rotating the complete antenna panel. The current AISG standards catalogue includes RET under AISG 3.0, while RAS and RAB remain listed among the AISG 2 extension specifications.
The difference is therefore not simply remote adjustment versus manual adjustment. It is electrical adjustment within a fixed antenna installation versus physical repositioning of the complete antenna panel.
The publicly available descriptions of Vodafone’s trial do not indicate that AISG is controlling the OCRA mechanism. Vodafone’s AI system appears to instruct the HUMAX positioning system through its own control arrangement. The antenna may separately support RET, but Vodafone does not identify this as part of the trial.
This also means that OCRA should not necessarily be considered a replacement for RET. The two approaches address different ranges and types of change.
Electrical tilt is well suited to fine-grained optimisation within the adjustment range designed into an antenna. Physical repositioning can change the antenna’s mechanical boresight and potentially redirect the sector towards a substantially different area.
Why physically move the antenna?
The most obvious advantage is the ability to redirect a sector without sending an engineer to realign the antenna manually.
Vodafone notes that a conventional physical adjustment may involve more than an engineer climbing a mast. Depending on the site, it can require access agreements, road closures, lifting equipment, planning permission and suitable weather conditions. Installing another antenna can take even longer.
A remotely controlled mechanical system could therefore be useful where the geographical distribution of demand changes significantly over time. Possible examples include:
- Daily demand shifts: Shopping, business and residential districts with contrasting traffic patterns.
- High-density events: Stadiums, festivals and other large temporary gatherings.
- Seasonal demand: Coastal towns, ski resorts and other destinations with large seasonal variations.
- Infrastructure disruption: Temporary coverage changes during major construction or transport disruption.
- Aerial coverage: Urban Air Mobility corridors and drone routes requiring coverage above ground level.
These are not all use cases demonstrated in Vodafone’s Albania trial, but they follow from HUMAX’s previous work around high-density events and Urban Air Mobility, as well as the system’s ability to change physical azimuth and tilt.
There are also practical questions that would need to be considered before wider deployment. Moving equipment introduces mechanical components that must withstand wind, rain, temperature changes and repeated operation over many years. Operators would need to understand maintenance requirements, energy consumption, movement accuracy and the consequences of a mechanism becoming stuck in an unsuitable position.
Any significant sector redirection would also need to be coordinated with neighbouring cells. Moving one antenna can change interference patterns, coverage overlaps, handover boundaries and traffic distribution across the surrounding network. The AI decision cannot therefore be based only on demand at an individual site. It needs visibility of the wider RAN and suitable performance guardrails.
The bigger story is closed-loop network automation
The robotic mechanism is visually interesting, but the more important development is the closed loop connecting network intelligence with physical infrastructure.
Vodafone’s algorithm observes conditions, determines the preferred orientation and instructs the antenna system to act without waiting for a human decision. That moves network automation beyond changing software parameters and into controlling the physical configuration of the site.
Vodafone says the project is also intended to feed into its wider open, standards-based platform for automating RAN components. This could allow internal teams and third-party developers to create optimisation algorithms that treat antennas as active elements of an adaptive RAN.
In future, an autonomous system could potentially select between several optimisation options. A small coverage correction might be achieved using electrical tilt. A change in beam shape or horizontal steering might be possible within the antenna. A more substantial redirection could justify physically repositioning the panel.
Vodafone has not said that the Tirana system currently selects between all these methods. However, the trial points towards networks in which AI has a growing range of electrical and physical controls available to it.
Whether robotic antenna positioning becomes common will depend on the operational and commercial results. Operators will need to determine how often large physical changes are genuinely required, whether the performance gains justify the additional hardware and how reliably the mechanism operates over the full life of a mobile site.
Nevertheless, the trial is a useful reminder that autonomous networks will not be limited to software running in a data centre. Increasingly, intelligence may also control what happens at the top of the mast.
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