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Evolving Mobile Cloud Gaming with 5G Standalone Network Telemetry
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Evolving Mobile Cloud Gaming with 5G Standalone Network Telemetry
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Mobile cloud gaming places the simultaneous demands of high capacity and low latency on the wireless network, demands that Private and Metropolitan-Area Standalone 5G networks are poised to meet. However, lacking introspection into the 5G Radio Access Network (RAN), cloud gaming servers are ill-poised to cope with the vagaries of the wireless last hop to a mobile client, while 5G network operators run mostly closed networks, limiting their potential for co-design with the wider internet and user applications. This paper presents Telesa, a passive, incrementally-deployable, and independently-deployable Standalone 5G network telemetry system that streams fine-grained RAN capacity, latency, and retransmission information to application servers to enable better millisecond scale, application-level decisions on offered load and bit rate adaptation than end-to-end latency measurements or end-to-end packet losses currently permit. We design, implement, and evaluate a Telesa telemetry-enhanced game streaming platform, demonstrating exact congestion-control that can better adapt game video bitrate while simultaneously controlling end-to-end latency, thus maximizing game quality of experience. Our experimental evaluation on a production 5G Standalone network demonstrates a 178-249% Quality of Experience improvement versus two state-of-the-art cloud gaming applications.
Forward citations
Cited by 1 Pith paper
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NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation
NeuralEmu uses machine learning trained on real 5G telemetry to predict resource blocks and modulation for multiple users, cutting emulation error by 51-57% versus prior tools for web, video, and gaming metrics.
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