D1.1 Set of Use Cases supported by the Holistic 5G Converged Network
Architecture
Download
Abstract
This document elaborates at an abstract level on the most relevant use cases for the 5G system concept defined by the CONFIG project and that reflects the business interests of the consortium members. It defines functional and performance requirements for the 5G system concept, based on selected use-cases.
Special focus was given to define scenarios for the emerging trend towards network cloudification with network virtualization technologies such as NFV, SDN and context awareness. These scenarios cover selected use cases from areas such as M2M and V2V communications, context awareness, content delivery services, real time media and business applications. These use cases take into account the high capacity, low latency and guaranteed QoS requirements specific to 5G.
Attention is given to scenarios that benefit by the use of edge computing where the network hosts functions running services that are distributed and located in data centres in the local edge. This induces new requirements on the protocols in the networks and datacentres. Furthermore, use cases take into account the fixed-mobile-wireless-broadcast convergence provided by the network architecture in CONFIG.
The use cases act as the basis to derive and define the system requirements for the 5G system concept, also including functional and high level performance requirements as input to the functional architecture and deployment architectures. These requirements cover capacity and latency for wanted QoE and new service delivery time in various scenario settings. The requirements defined in the EU FP7 project METIS1 and the visionary challenges defined for the 5G-PPP2 such as “saving up to 90% of energy per service provided”, “creating a secure, reliable and dependable Internet with a zero perceived downtime for services provision” and “enabling advanced user controlled privacy”
were also important input when defining the requirements.
This work took as input information from various scientific publications, dissemination of previous research projects (e.g. METIS), and other fora, such as the NGMN.
The output of this work is intended for use by other project tasks and work packages covering, a set of selected use cases, as well as system functional and performance requirements that drive architecture and modelling work for a Holistic Converged Network Architecture
Identifier
10.18153/5G-285266-CONFIG-D1_1 |
Authors
![](data:image/png;base64,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)
Language
English
Keywords
5G network infrastructure, use cases, functional requirements,
performance requirements
Resource Type
application/pdf
Related Content
Additional Links