Voipfuture Qrystal is all about visibility. It pays to know exactly which quality one delivers.
As the voice quality monitoring pioneer, Voipfuture provides the clearest possible view on the Voice over IP packet flow:
A crystal clear view on quality is not only about MOS values and hang-up causes. It is about
Which in sum means saving, avoiding churn, and efficiently handling operations.
Qrystal‘s intelligence now is available in a unique CDR based monitoring: Qrystal Connect delivers a holistic view on the call and an understanding of the quality per call (MOS value per call).
Qrystal Connect collects call data from control and media plane and creates a unique Call Data Record enriched by Qrystal’s intelligence. This provides a multi-probe view on calls across the net.
The new solution element examines control and media plane data from all probes
The result: a detailed understanding of a call and its quality over all call legs – even if traffic on some legs is encrypted.
|5-Second Time Slices|
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Bad user experience can take very different forms. Just to name a few common issues, these can include:
One of the biggest challenges is to identify such impairments automatically before customer care is hit by complaints. Closely related is the challenge of identifying the root cause of quality degradation.
Voipfuture uses passive RTP Monitoring to provide the information required. The solution reads:
To deliver meaningful results we cut all streams into 5 second slices – with every slice given its own quality data record (QDR). Every 5s segment contains over 400 metrics:
Indicators enable effective root cause analysis. They automatically identify QDRs that suffered from specific impairment types, such as network overload conditions.
The benefit: It allows the exact time and location of an impairment to be quickly identified, making troubleshooting and service quality management highly cost-effective.
LTE. Everyone wants it: full browsing, e-mail, games, downloading music, sharing pictures. Cell phone users are turning into consumers of wireless data services. The share of voice data is destined to fall below 1 percent if it has not happened already.
The downside of this development: voice becomes a market basic. You have to deliver first class quality. If you don’t, you are propelled into a different category. All of a sudden, you can find yourself playing in the free service/OTT league.
Quality of voice and quantity of data are the antagonists in this drama. This is why it is necessary to permanently assess voice quality. And to precisely correlate LTE network events with media quality impairments.
You have to be able to drill down to a single eNodeB, to a single call, even to the direction of that specific call. Or to use a picture: Within a waterfall of data you have to be able to spot a specific drop of information in order to localize a problem. And if you can’t, it may turn out that you lose customers as a result.
Some LTE slides
Voice is a sensitive service. Voice traffic is meant to be steady – with packets traveling neatly arranged one after the other. Any kind of disorder produces quality degradations.
The problem with LTE networks is that you can be certain there is lots of disorder on the radio access side. Cell pumping, rush hour, mega events – just to mention the most obvious.
Voice and the data related to a video call need steadiness. Only when this happens will the service be experienced as excellent.
The implication for any VoLTE assessment: First class quality requires first class monitoring. One which delivers all the necessary details of the media plane and the control plane, to correlate dedicated bearer events and quality.
Some LTE slides
Voipfuture HyVOLTE is a hybrid voice over LTE monitoring approach. It combines active testing and passive monitoring to produce better insights of air interface impairments on voice quality.
It is for example possible to benchmark the quality maximum of the evolved packet core (EPC) via test traffic over an active probe emulating an eNodeB.
Combining that with the full live-traffic results of the user plane, e.g. at the S1-U interface, reveals important insights where problems are located. Here all impairments are detected.
The equation is the following: All impairments – EPC impairments = RAN impairments. This allows the RAN to be isolated from EPC/IMS impairments.
In addition, HyVOLTE supports the pre-deployment phase and the transition to full VoLTE integration into live LTE service, stress tests and regression tests.
Some LTE slides