6G-BRICKS

Testing MEC Integration with Open RAN for Low-Latency Industry 4.0 Applications

use case image

This use case focuses on advanced private 5G technologies aimed at reducing latency in Industry 4.0 applications. The 6G-MEC experiment follows two main approaches: first, deploying a distributed User Plane Function (UPF) by placing an instance at the network edge, co-located with the O-CU, to minimize user-plane delay at the UEs, optimize edge network performance, and reduce backhaul traffic; second, leveraging network slicing to enable Ultra-Reliable Low-Latency Communication (URLLC), ensuring high performance for critical industrial applications.

Type of experiment:
Proof of Concept

Functionality:
Multi-Access Edge Computing (MEC)
Testing distributed User Plane Function (UPF)


Maturity:

Location(s):
Greece

Vertical sector(s):
Industry 4.0/ Manufacturing


replicable use case

This use case is replicable

Degree of replicability1:
31
1According to the Replicability Assessment Tool

High level of replicability : 61 < LR < 80

Good level of replicability: 31 < LR < 60

Low level of replicability: 00 < LR < 30


Additional Information:
  • Technical Solution (i.e. development, integration,…): This use case can be replicated based on the OAIBOX opens-source 5G test platform, developed and comercialised by allbesmart. More info: www.oaibox.com
  • Legal Aspects (any Specific regulation)  The solution implemented is based on the open-source OpenAirInterface (OAI) code base. Users need to be complient with the OAI open-source license terms.
  • Solution Implementation Hardware  Check the OAIBOX hardware platform: www.oaibox.com
  • Linked Products (components/parts)  OAIBOX product line: www.oaibox.com
  • Solution Provider Contact Name  Allbesmart
  • Solution Provider Contact email  pmarques@allbesmart.pt

Project Open Call 3rd-party funding

6G-BRICKS


Duration:

GA Number: 101096954

SNS JU Call (Stream):
Call 1
Stream C

This tool has received funding from the European Union’s Horizon Europe Research and Innovation programme under the SNS ICE project (Grant Agreement No 101095841)