Voipfuture Qrystal

The smartest view on quality

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:

 

  • The OSS team sees all control and media plane data in one spot
  • They will know what is going on
  • And they will understand why it is happening

 

A crystal clear view on quality is not only about MOS values and hang-up causes. It is about

 

  • How quality precisely develops during a call
  • What exactly is affecting the user experience
  • Who is affected by underlying network issues

 

Which in sum means saving, avoiding churn, and efficiently handling operations.

Voipfuture Qrystal | Use Cases
Voipfuture Qrystal | Application Domains
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Qrystal Connect

An engine to link all context data of a single call over all call legs

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

  • It identifies all streams and xDRs belonging to the same call
  • It correlates all call details and quality metrics for signaling and media of all network segments into a single quality enriched Qrystal CDR (QCDR) per single call
  • Even when traffic is encrypted Qrystal Connect identifies quality data belonging to the call
  • It determines the most relevant or worst value for each call

 

The result: a detailed understanding of a call and its quality over all call legs – even if traffic on some legs is encrypted.

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Latest Release: Qrystal 5.2

Enhanced features and a new solution element – Qrystal Connect

Qrystal_Icon_FullTraffic_blue Full Traffic
Qrystal_Icon_AllStreams_blue All Calls
Qrystal_Icon_BothDirections_blue Both Directions
Qrystal_Icon_FiveSeconds_blue 5-Second Time Slices
Qrystal_Icon_BorderControl_blue Network
Segmentation/
Border Control
Qrystal_Icon_PatternRecognition_blue Automated
Impairment
Detection
Qrystal_Icon_PacketRecording_blue Smart Packet
Recording
Qrystal_Icon_Waveform_blue Waveform
Analysis
(Live Traffic)
Qrystal_Icon_Correlation_blue Correlation
Qrystal_Icon_Aggregation_blue Grouping
Qrystal_Icon_Grouping_blue Aggregation
Qrystal_Icon_DrillDown_blue Drill-Down
Qrystal_Icon_Alarming_blue Threshold
Definition
Qrystal_Icon_Export_blue Exporting
Qrystal_Icon_Importing_blue Integration
Qrystal_Icon_History_blue History

Qrystal 5 Feature Overview

 

  • VoLTE Monitoring
  • Correlation of LTE events with media quality
  • Complete SIP signalling monitoring (including RFC 6076 KPIs)
  • Full dump of control plane traffic (SIP)
  • Smart packet recording triggered by media quality
  • Rich MOS values for narrowband and wideband scales
  • Dashboard: User-configurable display of relevant information

Qrystal 5.2 Highlights

 

  • SNMP implementation extended by X.733 to improve OSS integration of alarming
  • Alarming on control plane KPIs
  • Packet Recording option to exclude sensitive payload information and improved operation under high-load conditions
  • Further security hardening and enhanced auditing
  • New data views including RRD KPI (Registration Request Delay, RFC 6076)

Qrystal Connect

 

  • 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 result: a detailed understanding of a call and its quality over all call legs – even if traffic on some legs is encrypted

 

For more details: Partner Portal

5 second slices

The value of slicing RTP streams

Bad user experience can take very different forms. Just to name a few common issues, these can include:

 

  • Words being cut off at the beginning
  • Choppy voice
  • Single-sided voice
  • “Cross-talk”
  • Dropped calls.

 

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:

 

  • The full traffic
  • All streams
  • Both stream directions
  • All in real-time

 

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:

 

  • Values
  • Ratios
  • KPIs
  • Indicators

 

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.

Voice over LTE

Very fast, but very frustrating?

 

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.

 

More

Some LTE slides

 

The LTE tension-01

VoLTE

Adding voice: the coming LTE challenge

 

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.

 

More

Some LTE slides

 

VoLTE

HyVOLTE

An extended VoLTE monitoring approach

 

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.

 

More

Some LTE slides

HyVoLTE

Voipfuture Whitepaper MWC 2017
Will VoLTE really benefit from EVS?
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