Projects

The capabilities of autoencoders are well known and space researchers and enthusiasts have developed multiple systems that improve the performance of the state-of-the-art compressor for space applications, limiting the bandwidth usage and consequently reducing costs.

In the framework of this activity, IngeniArs improves the useful data-rate by optimising the data to be transmitted via Variation Autoencoder AI models.

Such models can reduce the amount of data to transfer, encoding the information into a set of points within the AI model latent space. These points are then restored into the original information (the compression is lossy).

To validate these models, different use-cases (telecommunication, video stream, image transmission) are tested by highlighting how these AI models can enhance both transmission (upstream) and reception (downstream) systems.

Finally, for the upstream segment, a feasibility study related to porting the developed models into GPU@SAT, a space-grade AI accelerator developed by IngeniArs, is conducted.

Ka-band TX and RX beamforming module for low-cost Satcom-On-The-Move (SOTM) earth terminals.

An advanced collision avoidance service, especially targeting the LEO market and mega constellations, the project leverages the current commercial solution, Focusoc, aiming to add and merge information from different data suppliers to provide a fast and reliable response to final operators.

The goal is to develop and demonstrate in-orbit a 5G UE (terminal) nanosatellite subsystem that can be integrated into Low Earth Orbit (LEO) satellites and capable of connecting to 5G networks here on Earth.

The activity integrates Raemis 5G core network platform with Non-Terrestrial Radio Access Networks, providing a next generation core network for satellite-based access compliant with 3GPP Release 17 standards. Focus is placed on the applications making use of these networks including Narrow band IoT, public safety and remote industry. Remote Industry may include verticals such as Mining, Oil & Gas or Agritech where poorly connected areas can benefit from 5G core network connectivity over Non-Terrestrial Networks. These industries can make use of narrow band IoT services for sensors and telemetry, low latency IoT services for industrial automation and public safety services for workers in these challenging environments. The gNodeBGW and the ability to deploy a 5G core across multiple regions using cloud-based technology is key to the successful deployment of NTN. Although the product is not dependent on satellite technology the deployment of NTN using satellite is dependent on the product proposed in this document. Enabling 5G cellular across multiple jurisdictions requires a dispersed 5G core that can home route data and locally break out data using various classifications that are defined by legislation in each jurisdiction. (for example lawful interception, commercial roaming agreements etc).

OPTIMUS develops a modular testbed to enable secure and interoperable optical ground station (OGS) network operations. Covered activities include automated pass scheduling, data delivery workflows, and real-time system monitoring to support seamless coordination across operators and service providers for future optical communication infrastructures.

Today, CubeSats can be considered mature and low-cost platforms for providing commercial telecommunication services. To allow building flexible telecommunication services and systems, this activity develops a modular active phased array antennas ready to be accommodated on CubeSats with different form factors.

Exploring spin-in opportunities in key industry sectors to define development potentials that can benefit the satellite communications sector.

Development of a high performing Q/V Band Direct Quadrature Demodulator RFIC with an initial study of potential demodulator architectures, to be used in a digital beamforming application for future Q/V feeder links operating in the 47.2-52.4 GHz band with the following design implementation, fabrication and validation.

The program aims to demonstrate direct 5G broadband access from LEO to small aperture terminals by implementing 3GPP Non-terrestrial Networks (NTN) specifications. The mission includes a feasibility study for 5G broadband via SmallSats, and an in-orbit demonstration of a 12U CubeSat to validate high-throughput, bidirectional K/Ka band connectivity over rural and suburban scenarios

Satellite signal processing using an off-the-shelf AI chipset project is to develop and validate AI-based signal processing techniques for satellite telecommunications such as signal identification, spectrum monitoring, spectrum sharing, and signal demodulation using Off-theShelf AI accelerators.

Optical feeder links of satellite constellation networks offer very high data rates and do not require frequency coordination, but can be affected by frequent disruptions due to cloud blockages. This project investigates, designs and demonstrates optical feeder link site-diversity mechanisms for satellite constellation networks to achieve the availability required for telecommunications services.