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Airspan advances
Air-to-Ground Communications Platform with
Strato-Twin resulting from ARIA EndAP Program award
Airspan Communications Limited,
a subsidiary of Airspan Networks Holdings LLC
(“Airspan”), today announced it had been awarded
£2.3 million to research and develop “Strato-Twin” -
an AI-enabled digital twin for designing, simulating
and optimizing High Altitude Platform Station (HAPS)
communications networks. Strato-Twin is being funded
under the Enduring Atmospheric Platforms (EndAP)
program of ARIA, the UK’s Advanced Research +
Invention Agency, at Airspan’s UK R&D center of
excellence for Air-to-Ground communications
solutions, including HAPS and drones.
Airspan’s Strato-Twin
integrates models of HAPS aircraft, communications
payloads, atmospheric conditions, ground
infrastructure and user devices to evaluate
coverage, capacity, interference and connectivity
across 4G, 5G and future 6G networks. It will help
optimize constellation size, flight positioning,
antenna beams, backhaul and payload size, weight and
power (SWaP) constraints. By combining simulation
with real-world flight data, Strato-Twin is designed
to reduce development costs, guide flight trials,
and support future HAPS deployment decisions.
The platform also connects
technical performance with network economics.
Strato-Twin will assess cost per square mile, cost
per user, break-even times and revenue
opportunities, including a mobile operator
neutral-host wholesale model in which shared HAPS
infrastructure could serve multiple mobile
operators. Its economic model evaluates aircraft,
payload and ground-infrastructure CAPEX alongside
operating, energy, maintenance, staffing, spectrum
and backhaul costs.
Rather than focusing on a
single aircraft or payload, Strato-Twin evaluates
the end-to-end service delivery capability of a
constellation of HAPS aircraft, capable of providing
nation-scale 4G and 5G services to augment and
in-fill coverage and capacity of mobile operator
networks. This allows Airspan and other program
participants to understand how platform performance,
including energy generation and conservation
technologies like next generation solar cells,
wireless and optical power-beaming, and atmospheric
energy harvesting, communications payloads,
spectrum, terrestrial and stratospheric coverage,
network architecture and operating economics
interact before committing to costly physical
deployment.
“HAPS constellations with
optimized communications payloads will offer an
economically attractive alternative to low Earth
orbit satellite direct-to-device services, for
extending mobile coverage and adding capacity,” said
Paul Senior, CTO at Airspan Networks. “Strato-Twin
will help us test that proposition by bringing
aircraft, communications payloads, spectrum, ground
infrastructure and economics into one model. We will
evaluate complete system designs before flight and
refine and validate the models using real-world data
as the programme develops. This builds on Airspan’s
proven ATG experience as we extend a common
technology foundation across HAPS, drones and other
airborne applications.
Rico Chandra, Programme
Director for Enduring Atmospheric Platforms at ARIA,
said, “This research expands the UK’s leadership in
high-altitude platforms to become the place where
this industry is designed, built, and scaled.
Getting there means backing bold ideas, from
fixed-wing solar aircraft to designs nobody
predicted, including aircraft that fly on spinning
wings instead of propellers.”
With its ATG technology already
deployed at scale with Gogo in the US for inflight
connectivity, Airspan is now extending that
experience across HAPS, drones and Advanced Air
Mobility. Strato-Twin will provide a development and
validation environment as Airspan evolves its ATG
technology toward a more converged airborne
communications architecture, using common 3GPP
radio, networking, software and AI-enabled
capabilities across different platforms, altitudes
and missions.
Airspan plans to work with HAPS
platform developers, payload teams, mobile operators
and other EndAP participants to incorporate relevant
data, constraints, and test results as Strato-Twin
evolves, helping validate the model against
real-world platform and communications requirements.

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