5G PoC - 5G MEC System

Traditional 5G Core sites face network congestion and high latency when handling resource-heavy applications.
Emerging use cases (connected vehicles, AR/VR, IoT) require real-time responsiveness that centralized cloud infrastructures cannot deliver.
Automotive applications demand precise control of accelerator, steering, lights, and assistance features, which are highly sensitive to delay. 

• Deploy MEC system at the edge to offload data processing from the
  5G Core.
• Implement application functions
  • Vehicle control (accelerator/brake, steering, lights, horn).
  • Driver assistance (Cruise Control).
  • Video streaming and AI-based image recognition.
• Utilize advanced technologies:
  • Computer vision & AI (C/C++, Python, OpenCV).
  • ECU programming with CAN, TCP/IP, USB, Ethernet.
  • 5G & Wi-Fi connectivity for reliable communication.
  • Edge computing, traffic steering, DNN, and LADN for optimized
    performance. 

• Reduced Latency: Real-time response enables safe and accurate vehicle control.
• Lower Congestion: Processing at the edge decreases workload on the 5G Core network.
• High Reliability: Standards-based MEC architecture ensures interoperability and scalability.
• Application Flexibility: Supports diverse workloads (automotive, AR/VR, IoT, video).
• Enhanced User Experience: Improved video streaming and low-latency AI-powered services.

In this PoC, the MEC platform successfully demonstrated real-time automotive control and low-latency video streaming at the edge site. By integrating ETSI-compliant MEC architecture with 5G Core, the project proved that advanced applications such as connected vehicles, AR/VR, and IoT can operate reliably without overloading the core network. The solution paves the way for scalable commercial deployment of edge-powered 5G applications across industries.