Abstract
With the wide adoption of edge compute infrastructures, an opportunity has arisen to deploy part of the functionality at the edge of the network to enable a localized connectivity service. This development is also supported by the adoption of “on-premises” local 5G networks addressing the needs of different vertical industries and by new standardized infrastructure services such as Mobile Edge Computing (MEC). This article introduces a comprehensive set of deployment options for the 5G network and its network management, complementing MEC with the connectivity service and addressing different classes of use cases and applications. We have also practically implemented and tested the newly introduced options in the form of slices within a standard-based testbed. Our performed validation proved their feasibility and gave a realistic perspective on their impact. The qualitative assessment of the connectivity service gives a comprehensive overview on which solution would be viable to be deployed for each vertical market and for each large-scale operator situation, making a step forward towards automated distributed 5G deployments.
Highlights
This development is supported by the adoption of “on-premises” local 5G networks addressing the needs of different vertical industries and by new standardized infrastructure services such as Mobile Edge Computing (MEC)
For the three service classes defined, enhanced Mobile Broadband, Ultra-Reliable and Low Latency Communications (URLLC) and massive Machine Type Communication [1], along with the new functionality, it became important where the network functions are placed in the network as it directly reflects in the connectivity service characteristics
3, we developed three conceptual models of splitting network each with multiple sub-options depending on the role transferred from the center the network each with multiple sub-options depending on the role transferred from the to the edge of the network
Summary
The core network functions depicted twice to at illustrate edge and theycentral can be placed at either location. The backhaul characteristics are translated directly into the control plane enabling a comprehensive understanding of the system’s performance including resources procedures as well as into failures the data delivery, thussecurity mattering where theas network consumed, andplane reliability limitations, breaches as well related to the subscribers. The information from these probes is gathered in a monitoring server where it functions are placed. As in-aircraft communication live content acquisition using nomadic networks
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