Simply using HD codecs is not sufficient to ensure premium voice quality. Voipfuture’s Qrystal provides insights on individual cell performance, reasons for call drops and other key data that will give you a clear, real-time picture of the actual quality of your voice service.
Qrystal Probes can be deployed in the EPC at the S1-U and S11 interfaces and on the border to the IMS at the Mw interface. The information gathered at the S1-U and S11 interfaces links problems of individual calls – call setup failures and media stream impairments, for example – directly to events in the LTE network
With Qrystal you can define LTE trunks, which provide media quality statistics for eNodeB ↔ SGW network segments. LTE trunks consider the media quality of all VoLTE calls routed over that trunk. With LTE trunks, it is possible to isolate eNodeBs and even individual cells that cause quality degradation of the VoLTE service.
All the information generated by Qrystal can be used by the Qrystal Intelligence module (or any other business intelligence solution) to create network maps and other views that present the performance of individual cells and eNodeBs. This is particularly useful because performance data is not only mapped to cell location, but also to equipment vendors, frequencies and other attributes.
PANI header information (RFC 7315, 3GPP TS 24.229) from the SIP signaling provides invaluable information on the user, access network and location even when only the Mw interface is monitored.
Call flow diagrams
Call traces/packet recording
Average MOS per call
Accurate MOS with high temporal resolution
Automatic root cause detection
Codec detection on packet level
Aggregation for trunks & numbering plans
Support for timeslice KPIs (ETSI TR 103639)
Effectively measuring the quality of VoIP services is crucial. ETSI defines proven and accurate time slicing KPIs which complement the well-known and widely used SIP signaling KPIs .
This white paper explains the fixed time slicing technology, which provides MOS and other metrics to accurately assess in-call user experience.