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https://doi.org/10.5281/zenodo...
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Definition and Evaluation of Latency in 5G with Heterogeneous Use Cases and Architectures

Authors: Carrozzo, Gino et al.;

Definition and Evaluation of Latency in 5G with Heterogeneous Use Cases and Architectures

Abstract

Low latency communications are a critical enabling factor of various 5G use cases. Since their initial conceptions, 5G technologies for the various elements of the network (i.e. air interface, fronthaul, backhaul, edge, core, transport) have been designed to pursue a drastic reduction of latency at the various segments of the communication service and eventually end-to-end. Various research projects within the 5G PPP programme are working to optimize latency-critical use cases and are developing solutions to reduce delay at user plane and at control plane in specific vertical application contexts. In light of the need for a coherent benchmarking framework, this paper briefly introduces latency definitions and use cases evaluation scenarios from four 5G PPP Phase 2 projects: NGPaaS, 5GCity, 5G ESSENSE and MATILDA. Teams from these project are working towards achieving a common understanding of latency key performance indicators (KPI), trying to converge on common definitions and measurement methodologies to be applied

Keywords

5G, end to end latency, Key Performance Indicators

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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