Quality of Service (QoS) monitoring and prediction

By using our approach to Quality of Service monitoring (QoS) and prediction, you can design reliable and safe wireless communication systems for your connected applications, thus enabling you to respond to highly-dynamic environments and external influences that can interfere with wireless communication systems and put the safety of your applications at risk.
 

Quality of Service (QoS) monitoring


Rely on Fraunhofer ESK’s approach to monitor and predict the Quality of Service (QoS) of the available communication channels. With Fraunhofer ESK’s Quality of Service (QoS) platform, you receive continuous notifications regarding the communications quality of wireless technologies such as LTE, 802.11p and 5G, where available. In addition, topographic information and other external influences flow into the monitoring system.
 

Quality of Service (QoS) prediction       


Fraunhofer ESK offers an additional approach with Quality of Service (QoS) prediction, which relies on machine learning algorithms to predict the Quality of Service (QoS) of the channels being monitored over the next few seconds or minutes. This allows the connected systems to adapt to changing conditions ahead of time by switching wireless channels or through graceful degradation.
 

Quality of Service (QoS) monitoring and prediction for automated driving


You can utilize our Quality of Service (QoS) monitoring and prediction system in a wide range of scenarios, especially with connected applications that must function in safety-critical environments, such as connected and automated driving systems, automated farm machinery or driverless transportation systems that operate in industrial buildings for instance.

Our video shows how Fraunhofer ESK’s Quality of Service (QoS) monitoring and prediction approach functions using platooning as an application scenario

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Utilize Fraunhofer ESK’s expertise in the area of communications channel monitoring to design dependable connected functions for your safety-critical environments.

Potential forms of collaboration:

  • Direct contract – we make the communication system for your connected functions dependable
  • Know-how transfer through collaboration – Using our labs, we show you how to design dependable communication systems for your connected functions