Towards Traffic Identification and Modeling for 5G Application Use-Cases

• DOI: 10.3390/electronics9040640
• Publication Date: 2020-04-13T14:41:52Z
• Authors: Gabor Soos; Daniel Ficzere; Pal Varga
• Keywords: Identification; Mobile broadband; Network traffic simulation

To analyze next-generation mobile networks properly, there is a need to define key performance indicators (KPIs). Testing signaling only or just partial domains of the network have been replaced with end-to-end testing methodologies. With appearing machine-to-machine (M2M) applications, this question became even harder, since no direct user feedback. Quality experience cannot be measured accurately in M2M if operates correctly and without failures. There are dozens new—but theoretical—use-cases for 5G; however, these not tested on live network. The modeling methodology used throughout paper follows steps observation, analysis, model creation, implementation, verification. first part examines three application-types: enhanced broadband (eMBB), critical Internet Things (cIoT), mass (mIoT). Afterwards, we introduce main traffic characteristics based current networks’ patterns measurements. Considering measurement results, models simulation different application-types. validate models, compare generated artificial real patterns. In second paper, examine what effects domestic 5G test-network are. Finally, suggest some considerations possible impacts regarding design.