- Vodafone provides mobile phone antennas with autonomous adjustment using artificial intelligence
- AI now spins mobile antennas without waiting for engineering teams
- Robotic mast completes network optimization in less than thirty minutes
Vodafone has begun testing a mobile mast equipped with an artificial intelligence system and a robotic arm capable of adjusting radio antennas automatically.
The technology combines AI analysis with automated hardware movement to reduce manual intervention in 4G and 5G networks.
An algorithm developed in-house by Vodafone first assesses network demand and local conditions before directing the robotic arm’s movements.
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The robotic arm takes care of the physical adjustments
The robotic component itself comes from Humax Networks, a South Korean equipment supplier that is working alongside Vodafone on this test.
Once the AI algorithm identifies where coverage or capacity needs to be changed, it tells the arm to rotate or tilt the antenna accordingly.
This process reportedly takes 20 to 30 minutes to complete while optimizing energy efficiency across the network.
In comparison, manual antenna reconfigurations typically take days or weeks once planning approvals, site access and road closures are taken into account.
Physical engineering work is also typically required, adding further delays to any conventional antenna tuning process.
The system adapts coverage based on environmental patterns, sending more signal outdoors when the weather is good and increasing coverage indoors when conditions worsen.
Self-organizing algorithms also respond to changes in local traffic congestion, allowing antennas at various sites to reposition themselves ahead of anticipated demand peaks.
Vodafone is currently testing this setup at a site overlooking a shopping center in Tirana, Albania.
There, coverage automatically switches between retail and residential zones as usage patterns change throughout the day, following the actual movement of consumers.
Francisco Pignatelli, director of mobile access engineering at Vodafone, described the trial as an early example of physical AI within telecoms infrastructure.
“By analyzing network demand and making autonomous decisions, the AI algorithm can adjust radio antennas to optimize coverage and capacity without human intervention,” Pignatelli said.
The internal components of the antenna signal the upcoming change.
Although the current trial is based on physically moving robotic hardware, Vodafone already anticipates that a different approach will soon become standard.
The company expects autonomous antenna technologies capable of adjusting internal components, rather than repositioning entire units, to hit the market in the coming months.
This shift toward internal adjustment is expected to further reduce power consumption compared to moving an entire antenna array outdoors.
Vodafone said combining antenna digitization with AI-powered automation is an important step towards fully self-adaptive wireless networks.
Whether the adjustment of the internal antenna can match the physical precision achieved by moving the robotic arm remains an open technical question for now.
Vodafone has not yet detailed how the internal components alone will replicate the directional control that robotic rotation currently provides in different environmental and traffic conditions.
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