For planet earth and beyond
Ambitious plans to expand the nascent space industry in Greece – enabling the digital transformation of society while creating jobs and generating prosperity – have received a fillip from ESA.
Space-enabled 5G technologies – which will transform connectivity and reinforce the internet of things – have come a step closer, thanks to the formation of a new partnership.
Plans to create a network of satellites that supply data from space to improve life on Earth have entered a new phase.
Keeping information secure is becoming ever more important in today’s interconnected digital world.
A telecommunications satellite that can be reprogrammed in-orbit, offering unprecedented mission reconfiguration capacity, has successfully passed its in-orbit acceptance review.
Four entrepreneurial small companies have won the chance to learn from senior figures at ESA and satellite manufacturer Thales Alenia Space, following an ESA-backed competition.
One of the largest telecommunications satellites ever built in Europe has been launched and is on its way to geostationary orbit.
This activity will study the implementation of spaceborne 5G regenerative functions in a 5G end-to-end system demonstration incorporating a space segment element. For that purpose, the activity will develop and demonstrate in orbit an experimental 5G g-NodeB (gNB) distributed between a regenerative payload and a satellite gateway for eMBB services. The experimental gNB will be based on the 5G New Radio Non-Terrestrial Network (NR-NTN) 3GPP standard.
This innovative opportunity allows for the exploration of an uncharted territory, which is beyond existing standards and will allow to better understand the challenges and benefits of the different possible regenerative architectures, contributing to the definition of the satellite functions in future releases of the 3GPP standards.
A game-changing system to keep big satellites cool has just been qualified.
ARTES FPE 1A.114
Artificial Intelligence (AI) is set to play a major role in the automation of future satcom systems, enabled by the significant advances in Machine Learning (ML) techniques of recent years. However, the computer processors that AI algorithms will run on have not developed at the same pace, potentially limiting, or delaying the benefits foreseen.