When mobile operators began to have the concern of having to launch VoLTE in their all-IP networks —much simpler to manage because they are end-to-end IP—, we thought the new services would be much simpler to manage than those legacy services. Fools of us! No, my dear Watson; it turns out that VoLTE adds an additional degree of complexity regarding its Quality of Service (QoS), so new KPIs and ways of measuring their performance must be developed. Obviously, there are new tools that allow to control their quality and to know where in the infrastructure their failures occur. However, the author tells us that this can be solved with Big Data and Analytics, let alone Artificial Intelligence (AI). Sometimes it looks like modernizing in the telecommunications sector means complicating life.
Elementary, my dear Watson
Early VoLTE rollouts presented a number of challenges for service providers, including VoLTE call drops due to timeout. This particular issue appeared to be IMS related, but the Core/IMS team could not identify its root cause. IMS had just been deployed, so the inability to pinpoint exactly where the issue lay was attributed to lack of knowledge.
The mystery was solved after considering data from the radio access network (RAN). It then became evident that the VoLTE call timeout was a RAN issue, caused by noncontiguous radio coverage when users moved between cells. To resolve the matter, the RAN and Core/IMS teams simply had to communicate and correlate data across network domains. Elementary, one would say … Keep reading the original blog here