Distinguishing 5G IoT Use-Cases through Analyzing Signaling Traffic Characteristics

Autor: Ferenc Nandor Janky, Pal Varga, Gabor Soos
Rok vydání: 2019
Předmět:
Zdroj: TSP
Popis: The traffic of mobile core networks can reveal important features of usage scenarios.Since Internet of Things applications are expected to provide great variety of use-cases for 5G networks, it is interesting to know their effect on the mobile core network. The simplified use-cases of Mobile Broadband, Massive IoT and Critical IoT represent the scene very well. The traffic patterns of such use-cases can be found in the LTE EPC (Long Term Evolution Evolved Packet Core) traffic, when analyzing per-APN (Access Point Name) signaling.This paper describes how the traffic patterns of emerging 5G use-cases can be matched with the APN traffic types. While these are telco-operated APNs, their names do suggest use-case scenarios – and we found that traffic patterns reveal commonalities within these groupings. The results actually match the original hypothesis: analysis of signaling event interarrival times shows that simple metrics can be used to distinguish usage scenarios.
Databáze: OpenAIRE