The 6G AI Traffic Characterization Testbed is a testbed of the AI in Media Services project.
This study aims to identify media-related opportunities and gaps in the context of 6G. It builds on service requirements defined by SA1 and architectural enhancements defined by SA2. The conclusions of this study will form the basis for further detailed studies as well as normative work.
Annexes C and D of the study document the evaluation of AI traffic characteristics and the testbed for it, which is the 6G AI Traffic Characterization Testbed.
The Problem It Solves
The traffic characteristics of media services are relevant to the design of 6G radio and service architectures, and for AI media services the study obtains them itself. Its five initial findings are that AI traffic is uplink heavy in some scenarios, that it is bursty, that round-trip delay determines responsiveness, that traffic varies within one application, and that some traffic is structured in tokens. The findings are to be updated as more measurement results become available, which is what the testbed produces.
Open Source, Built Together
Testbeds for This Project
The real, running software for this technology — 2 repositories.
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