Promoting User Experience through the MEC Technology

Home Page > Solutions > VNF > 5G Common Core Solution > Promoting User Experience through the MEC Technology

Promoting User Experience through the MEC Technology

MEC technology
MEC provides application developers and content providers with IT service environments of cloud computing capabilities and mobile edge networks to achieve ultra-low latency, high bandwidth, and real-time access to network information, mainly including the following service optimization capabilities:

● Wireless content cache: The MEC server connects to the service system to obtain hot content in the service, including videos, pictures, and documents, and cache the information locally. During the service process, the MEC server performs real-time deep packet parsing of the data on the base station side. If the service content requested by the terminal is already in the local cache, the cached content is directly directed to the terminal.

● Local offloading: Users can directly access the local network through the MEC platform. The local service data flow is directly transmitted from the MEC platform to the local network without going through the core network. Local service offloading can reduce backhaul bandwidth consumption and service access delay, and improve the service experience.

● Service optimization: The MEC server close to the wireless side can be used to collect and analyze the information of the wireless network in real time, dynamically optimize the service based on the obtained network conditions, and select the appropriate service rate, content distribution mechanism, and congestion control policy.  

Customer Value
  • Reduce the load on the backbone network, improve user experience, and optimize the deployment of wireless resources

    The ZTE MEC technology can help operators deploy CDN networks closer to the user side, which helps reduce the load on the backbone network, improves the user experience of end users, and helps deploy URLLC services. It helps deploy real-time optimization of wireless resources by using the data analysis function that are close to the wireless side.