Projects

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.

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).

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

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.

The IPFS project targets the definition of promising applications and platform reference architecture for next generations of satellites equipped with a suite of cutting-edge autonomous features, also leveraging artificial intelligence techniques. The target application of the IPFS project is to be seen in the context of an E2E Intelligent System that will include space and ground, where the advanced autonomy requirement could be closed more edge or ground, depending on the specific mission or service needs.