In UC2, FIDAL will demonstrate the automatic deployment of hazard detection and monitoring algorithms for continuous updating of first responders about the future condition of the hazard evolution and short-term risk assessment, including situation monitoring of the fire, monitoring of the ground assets, predicting fire propagation against environmental conditions and fire propagation disseminated to mobile users.

City area coverage with 5G evolution capabilities for the PPDR organizations involved, such as, but not limited to slices, implemented as 3GPP slices or as private networks (MOCN or alternative mechanism), ii. High-quality real time video stream sharing within groups of PPDR users with high density of concurrent users and Ultra-Low Latency for Mission Critical PPDR operations.

Football stadium coverage with advanced capabilities such as increased density to assist uninterrupted UHD user generated content (UGC), directional beam to meet ad hoc increased needs (e.g., journalists), slice setup to assist beyond UHD professional production and beyond-UHD cooperative production.

Music concert coverage with advanced capabilities such as high quality 360 video for remote or onsite audience with low latency streaming, support of networked music performance with remote musicians, UGC live streaming from the audience available for remote audience and networked audio and video synchronization.

This UC will demonstrate two PPDR scenarios, that involve real-time on-site XR assistance in law enforcement and in emergency medical services.

• AR for improving Law Enforcement Agents (LEA) situational awareness: PPDR AR Head Up Display (HUD) for facilitating an elevated situational awareness in patrolling and tactical scenarios towards improving LEAs’ safety and capacity to deliver crucial blows against terrorist and/or criminal threats. The HUD incorporates AR technologies for providing the LEAs with single-out interesting findings and threats requiring their attention. Each HUD will provide video streaming of crime scene through integrated camera. Edge/cloudbased AI services will analyse the provided video streams towards rapid scene analysis and interpretation. The findings are transmitted back to the HUDs and visualized at real time.

• On-site XR-assisted emergency surgical operations: PPDR system that enables the collaboration of first responders on-site with indoor medical experts using AR and VR technologies. Outdoor emergency medical surgery teams will use AR Head Mounted Devices (HMDs) to overlay deformable medical models directly on top of the patient body parts and perform surgical actions following step-by-step instructions. Direct communication with medical experts that will provide medical assistance in real-time. Indoor medical experts will use VR HMDs visualizing in real-time video from the incident’s site.

This use case will explore beyond 5G ability to deliver sufficient levels of smart connectivity and traffic isolation at acceptable cost levels, while scaling up the service (anticipating scalability scenarios for a city /village). It will explore how to set up many services and applications with logical network (as a Service, LNaaS) contracts to be mapped onto one or a few 5G network slice instances, i.e., the large-scale trial will explore putting up many connectivity contracts (LNaaS SLAs, serving multiple users, devices, and application types) for customers and their media applications with varying QoS, served by many different configurations of network slices. Furthermore, the use case will explore vertical specific Network Applications interaction with network slice capability exposure and platform embedded Network Applications, when scaling up. The LNaaS concepts will evolve the 4G APN-based (and potentially the 5G enabled equivalent) solutions into advanced 5G contexts. This would represent ways of dynamically handling of basic as well as specialized connectivity, along with platform-embedded Network Application components in an engagement service for cities, i.e., the applications, the network slice instance adaptation according to requirements, and the bundling of these with e.g., edge, controllers, customer Network Applications, and integration with enterprise data networks. Exposure of management and self-service would also be part of the service.