Four real-world Use Cases of the Omni-IoT platform
Each PoC validates specific Omni-IoT components against targeted KPIs/KVIs, combining system modelling, simulation, emulation, and in-lab testing in dedicated facilities.

1. Industrial IoT

The IIoT PoC evaluates Omni-IoT platform components in industrial automation environments where automation, efficiency, and safety must be combined. The scenario involves autonomous guided vehicles (AGVs), unmanned aerial vehicles (UAVs), digital twins, and robotic systems requiring sub-second latency, high-precision positioning, and resilient connectivity.The evaluation integrates energy-efficient device operation modes, on-device AI/ML execution, multi-technology ISAC and positioning (UWB, RTK-GNSS, WiFi, sidelink), and TN-NTN multi-connectivity. MUL emulates IIoT-specific cyber-physical attack vectors including spoofed positioning, jamming, and anomalous AGV/UAV behaviours.Primary Testbed:
CNIT WILAB — Industrial IoT Lab with heavy-duty drones, private 5G network, SDR and Open RAN platforms, indoor UAV area, and outdoor LoS/NLoS measurement environments. Also: Mulini Lab for security emulation.

2. Underground IoT

The UGIoT PoC addresses one of the most challenging connectivity environments: underground mines and tunnels. The scenario evaluates how the Omni-IoT platform can provide reliable, energy-efficient, and secure IoT services in enclosed spaces with harsh propagation conditions, low visibility, and strict safety requirements.Applications include worker safety monitoring with wearable IoT devices, environmental sensing (gas, temperature, vibration), and autonomous robots. The PoC evaluates energy-efficient device modes, ISAC and positioning under underground-specific propagation models, and on-device security solutions.
Primary Testbed:
Holman Underground Test Mine (RINI, Lancaster, UK) — A real working mine environment providing genuine harsh propagation conditions, operational safety requirements, and full testing infrastructure. Also: Mulini Lab for security emulation.

3. Underwater IoT

The UWIoT PoC evaluates how PIONEERS-6G solutions can seamlessly integrate and extend the underwater IoT ecosystem. Underwater networks present unique challenges: acoustic and optical communication modems, surface gateway nodes (buoys), and stringent service availability requirements for monitoring critical marine infrastructure.Omni-IoT Device components (adaptive operation modes, on-device security) are adapted for underwater IoT device constraints. RAN components for TN-NTN multi-connectivity are assessed for resilient communication from surface gateways to service endpoints, while security emulation covers underwater-specific threat vectors.
Primary Testbed:

Glasson Dock, Lancashire, UK (RINI) — A controlled but realistic maritime dock environment with acoustic sensor deployments, autonomous inspection devices, and low-power underwater communication infrastructure. Living testbed bridging lab and open-water conditions. Also: Mulini Lab.

4. Global IoT

The GIoT PoC addresses global-scale IoT deployments requiring intelligent, automated, and scalable management across multiple operators' and hyperscalers' jurisdictional and federated domains. The scenario evaluates cross-border orchestration, sovereign IoT verticals, and the OmniID identity framework.Jointly implemented and evaluated components include network-side security, efficient AI/ML execution in edge-cloud nodes, inter-domain orchestration, the NomadiX CN placement framework, and the TrustAC compliance component. MUL emulates cross-jurisdictional scenarios including federation-level credential abuse, inter-domain denial-of-service, spoofed handovers, and anomalous device behaviours.
Primary Testbed:
TheThinX Lab by Telefónica Tech (TID, Madrid, Spain) — An open innovation laboratory connecting start-ups, developers, and industrial partners with real operator infrastructure, edge/cloud integration, and IoT interoperability frameworks. Four specialised labs with a solution industrialisation zone. Also: Mulini Lab for security emulation. 

KPI & KVI Improvements over 5G/5G-A

Energy Efficiency

≥20% energy reduction vs. 5G NB-IoT through adaptive duty-cycling, with 60% battery lifetime extension validated via controlled discharge profiles.

Energy Efficiency

≥20% energy reduction vs. 5G NB-IoT through adaptive duty-cycling, with 60% battery lifetime extension validated via controlled discharge profiles.

Energy Efficiency

≥20% energy reduction vs. 5G NB-IoT through adaptive duty-cycling, with 60% battery lifetime extension validated via controlled discharge profiles.

Positioning Accuracy

Sub-meter accuracy in underground environments; 20cm accuracy in industrial settings — enabling collision avoidance for autonomous vehicles.

Positioning Accuracy

Sub-meter accuracy in underground environments; 20cm accuracy in industrial settings — enabling collision avoidance for autonomous vehicles.

Positioning Accuracy

Sub-meter accuracy in underground environments; 20cm accuracy in industrial settings — enabling collision avoidance for autonomous vehicles.

Security & Resilience

94% detection rate for known IoT attack vectors. <2% traffic loss during CN reconfiguration vs. 10-15% baseline in current 5G deployments.

Security & Resilience

94% detection rate for known IoT attack vectors. <2% traffic loss during CN reconfiguration vs. 10-15% baseline in current 5G deployments.

Security & Resilience

94% detection rate for known IoT attack vectors. <2% traffic loss during CN reconfiguration vs. 10-15% baseline in current 5G deployments.