This blog is by Volker Held at NokiaNetworks.
Traditional QoS and CEM approaches are not sufficient in the 5G era
One of the promises of 5G is to always provide the necessary experience and quality to people and things when and where it matters. To make this come true, the 5G network architecture will consist of a versatile radio system and a flexible core and transport network that allow more than 10 Gbps when needed, even 100 Mbit/s at the cell edge and 1 ms latency for critical applications.
Beyond these impressive KPIs, we also need to consider the broad variety of applications that will traverse the network. These will range from conventional HD video services and augmented reality to connected machines, many of them being part of time-critical business and safety relevant processes. All of these different individual traffic streams must flow as expected, even under constantly changing network conditions.
In today’s networks, Quality of Service (QoS) management techniques position the individual traffic streams into different QoS classes and try to enforce the associated policies. However, the QoS classes are defined very broadly so that specific application requirements are not considered – and such tools are often not aware of the Quality of Experience (QoE) actually perceived by the user. Furthermore, they are typically incapable of providing corrective action to service degradations quickly enough before application performance suffers. With Dynamic Experience Management, these drawbacks can be removed.
Sense, analyze, decide and act
Let’s take an example: You are sitting in a bus and streaming an HD video while traveling. The bus is moving into a highly loaded cell, where already a high number of other subscribers are using demanding services. Dynamic Experience Management continuously monitors the QoE of the stream, detecting at an early stage that you are or will be entering a congested cell and that the video buffer in your device will be depleted soon. Based on this information, the network automatically determines that without counter action, the video will stall in a few seconds. Next, the analytics engine selects the most appropriate action. In this case, powerful analytics detect that throughput demand exceeds available capacity in QCI9 (QoS Class Identifier), but discovers that spare capacity is available in QCI8. The engine therefore opts for a dynamic upgrade of the session to QCI8. Immediate action is triggered and performed by the respective control functions. The good news: our user doesn’t experience any service degradation as everything continued to work perfectly along with others in the same cell.
In fact, the technology isn’t just limited to video – but works for any application. Consider the benefit to passengers of connected cars where safety is paramount…
4x higher QoE, 20-30% extra capacity
This kind of Dynamic Experience Management will be a key component of the 5G network architecture, and already works with current technology. Nokia Networks has implemented artificial intelligence in an analytics and decision engine that immediately pinpoints the cause of issues in a subscriber’s application session and decides automatically on the best corrective action.
Intensive tests have proven that the technology provides good QoE in nearly 100% of sessions under high load, which is about four times more than what industry-standard Quality of Service mechanisms achieve. Up to 30% extra capacity can also be created as more application sessions run simultaneously with high quality so that each session receives exactly the resources it needs: a clear leapfrog in productivity.
Would you like to experience our demos? Please contact Nokia Networks Solution Experience Center.
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