Technical Radar

The Technical Key Performance Indicators (KPI) Radar offers a comprehensive overview of the target values for six key 6G KPIs, as defined by the SNS JU Research and Innovation projects. Since these target values can vary significantly depending on the specific Use Case (UC) addressed by each project, the KPI Radar highlights the minimum and maximum values pursued within SNS JU, along with their associated use cases. These are based on the latest findings from the Test, Measurement and Validation (TMV) Working Group of the SNS JU [1].

The Technical KPI Radar is regularly updated to incorporate results from ongoing SNS JU R&I projects, reflecting both the evolving targets and actual KPI values achieved through experimentation activities such as trials and pilots.

[1] SNS JU White Paper, “6G KPIs – Definitions and Target Values”, Test, Measurement and Validation (TMV) Working Group, January 2025. Click here

Exemplary Use cases from SNS JU projects, targeting the respective KPI values
0.1 Mbps
Ubiquitous Network (Fully Connected World)
4.1 Gbps
Evaluated in 6G-XR XR UCs related to collaborative 3D DTs and e2e energy efficiency with Max.load in a single cell.
1 Tbps
To be evaluated in experimentation platforms

Exemplary Use cases from SNS JU projects, targeting the respective KPI values
> 1Mbps
Min: throughput needed to transmit control commands and telemetry

Automated decision-making process for irrigation in avocado farm
1.5Gbps
DL cell capacity: Max: amount of data (number of bits contained in the SDUs delivered to L3) that can be transferred from the network to all devices in a specific cell (a geographic area covered by a single cell) over a certain period of time.
> 1Tbps
Node Capacity: Max. number of users or the amount of data a network node can handle simultaneously.

Exemplary Use cases from SNS JU projects, targeting the respective KPI values
36 Devices/km²
Ultra-Low Latency M2M communications for 5G enabled Fabrication Systems
5 × 10⁶ Devices/km²
Experimentation Platforms/ Following ITU-R M.2410-0 definition: Total number of devices fulfilling a specific QoS per unit area (per km2).
10 x 10⁶ Devices/km²
Realtime DTs (DTs)

Exemplary Use cases from SNS JU projects, targeting the respective KPI values
0.1 ms
Advanced Drone-Assisted Port Technology with Augmented Reality and 5G Communications
< 1000 ms
Human-centric Network (Trusted Environment)
2000 ms
Gr-UC6 MEC service handover between multiple MNOs

Exemplary Use cases from SNS JU projects, targeting the respective KPI values
1ms
Smart factory Multi-Domain factory Deterministic services for critical communications. Based on [18]. Jitter is calculated by measuring the difference between the Min. delay variation and the 1-10-3 quantile of the delay variation distribution.
< 20ms
Leveraging Edge Optical Sensing for Emergency Diagnostics (LEOSED). Since a solution relies on long term sensing sessions jitter can affect quality. It depends on the type of data transfer used to forward the data stream to the sensing module.
100ms
AI gloves as Industry 4.0 sensor of human activity ALMA (Ai gLoves huMan Activity). Jitter must stay within the given bound to permit the Mimetik app. At edge server to predict poses and actions in real-time.

Exemplary Use cases from SNS JU projects, targeting the respective KPI values
> 95%
Measured as a ratio between up-time and down-time.
98.5%
Percentage of time the service can be delivered
100%
Ratio between the amount of time during which a specific component of the UC (app., server, NF, etc.) is responding to the received requests, and the total amount of time that the component has been deployed.

Exemplary Use cases from SNS JU projects, targeting the respective KPI values
< 0.1 m
Positioning Accuracy - Difference between the calculated horizontal/vertical position and the actual horizontal/vertical position of a device.
< 0.5 m
Localisation accuracy - Incremental reconstruction of scenes from multiple ego-poses and discrimination of dynamic elements with range precision better than 0.5 m and ACC > 60%.
1 m
Positioning Accuracy - Difference between the calculated horizontal/vertical position and the actual horizontal/vertical position of a device.
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