Uncrewed Systems Technology 048 | Kodiak Driver | 5G focus | Tiburon USV | Skypersonic Skycopter and Skyrover | CES 2023 | Limbach L 2400 DX and L 550 EFG | NXInnovation NX 100 Enviro | Solar power focus | Protegimus Protection

Delivering uncrewed and autonomous engineering jobs directly to your door uncrewedengineeringjobs.com Delivering uncrewed and autonomous engineering jobs directly to your door 5G networks | Focus UAV 5G reference design The latest chipset provides lightweight support for 5G connectivity for low- latency, high-bandwidth data transfer with wi-fi 6 for UAV-to-UAV and swarmsupport. The chipset also includes an ML engine with a performance of 15 TOPS to run deep learning workloads for autonomous flying as well as integration with the UTM and an UTM service supplier (USS). The chipset has been integratedwith a PX4 real-time flight controller, inertial measurement unit and barometer to provide a 5Gautopilot that weighs just 16g. Thewirelessmodem in the chipset currently supports Release 16 of the 3GPP specifications supporting every commercial 5Gband from600MHz to 41 GHz. ML is used to optimise sub-6 GHz and millimetre-wave links for improved speeds, coverage, mobility and link robustness, while power-saving algorithms optimise the use of multiple antennas to extend battery life. without 3GPP having to contain feature-specific capabilities. This flexible and decoupled approach also has the advantage of minimising the degree of UAV-specific capability needed in the 3GPP system. This design should reduce barriers to deployment in commercial networks. Although this decoupled approach offers important advantages, it does mean that to deliver complete applications, the 3GPP specifications need to be augmented with other technical features that are outside 3GPP’s scope. These might be standardised within the aviation community or by regional regulations, or they might be proprietary. In Release 17, 3GPP has specified two different interfaces that can be presented between the 3GPP system and UAV-related applications. The first is described in TS 23.256, and offers direct access to 3GPP network features that support UAV applications via the use of 3GPP’s Network Exposure Function interface. This interface is suitable for services such as UAV Traffic Management (UTM) and UTM Service Suppliers (USS) that could use the 5G networks. The second interface is described in TS 23.255, and offers a more abstract level of access to 3GPP network features. This interface also includes general capabilities specified in the 3GPP Service Enabler Architecture Layer for Verticals framework, as specified in TS 23.434, which includes management of the location and identity of UAVs by using the 5G network. Release 17 provides three modes to support USS tracking of UAVs. There is a UAV location reporting mode that obtains the current location of a specific UAV, and a UAV presence monitoring mode that obtains information about a specific UAV going into or out of a particular area. This can then generate a list of UAVs in a geographic area as the third mode. The first release for the next-generation 5G Advanced specification is Release 18, which is set to be frozen by the end of this year, for release in 2024. Some of its study items are based on new requirements, while others are a result of unfulfilled Release 17 requirements that require further work. Release 18 includes a study on Architecture Enhancements for Vehicle Mounted Relays (TR 23.700-05) that aims to support the operation of base station relays that could be mounted on vehicles, using NR for wireless access to other vehicles and relaying data back to the core network. Release 18 also continues the work in Release 17 for machine learning (ML) training and inference to improve the performance of 5G links. This aims to provide intelligent transmission support for application ML-based services to support the use cases for application-layer ML operation.