Proof-of-concept with NOMA-enabled SDR platform

Fraunhofer HHI’s practical nonlinear Machine Learning based receive filtering technique enables a simple and reliable multiuser detection in a wireless communication system. The method has low complexity and works with short training and a small number of receive antennas; nevertheless, all users are detected in parallel independently. The demo shows that Machine Learning can replace some building blocks of wireless receivers and that the method outperforms other conventional non-linear schemes.

Real-time operation of a high-capacity wireless link used as a fiber extender

The Fraunhofer HHI presents a real-time prototype for next generation wireless communication ‘Beyond 5G’ based on Terahertz-Technology. The Terahertz-Technology enables significantly higher data rates compared to state-of-the-art 4G und 5G mobile communication technology. The wireless link real-time demonstrator achieves a transmission capacity as high as 100 Gbit/s and is used as a fiber extender in an access network.

The 5G-MiEdge project aims to exploit the benefits of combining mmWave technology, Multi-Access Edge Computing, Liquid RAN control-plane and a user/application centric orchestration.

With this demonstration, the Fraunhofer HHI highlights the promising fusion of these technologies. The demo consists of one controller, three backhaul nodes and one User Equipment. The nodes are connected in a redundant mmWave mesh network and offer application access to the User Equipment via mmWave and sub 6 GHz. In addition to this basic functionality, the experts show failover mechanisms in case of link-failure caused e.g. by blockage and demonstrate a reliable user experience.

Public safety is an area of growing concern. At EuCNC 2019, Fraunhofer HHI showcases a demonstration, which is prepared in the framework of H2020 Metro-Haul project, to show that optical metro networks need to flexibly provide low latency and high bandwidth connections to enable real-time surveillance and analytics. Considering these developments, Fraunhofer HHI shows that network slicing and the use of Edge Compute Nodes are essential enablers to improve public safety through video surveillance services in future 5G networks.