MEC-based Stable Topology Prediction for Vehicular Networks
Use Case Details:
|Type||New||The use case is proposed under the ICN BP family|
Area: SDN & NFV
|ATTO RESEARCH focuses on the problems related to networking and software technology for a better connection. It has created a technology that allows to build IT infrastructure, and aims to grow into a ‘Software Defined Infrastructure’ company.|
|Business driver||The stable vehicular network is essential to enable various applications such as autonomous driving through VANETs. Proposed MEC architecture tends to enable a promising infrastructure where a stable network topology can be predicted locally to improve the network performance by providing intensive calculation for vehicles in the adjacent roads. Thus, converging the two concepts of MEC and topology prediction can provide a strong use case for the vehicular networks such as proactive path stabilization.||The MEC-based Efficient Routing Algorithm can provide a stable path by using the predicted future position for the nearby vehicles. The information can also be made available to the adjacent road resulting from being useful to provide a stable topology on the road tracks.|
|Business use case|
|Business cost - Initial build|
Minimal configuration is three servers in total:
|Price factor depends on the cost of RSU quality, and should be only considered for physical deployment. i.e. wireless or wired.|
|Business cost - Operational|
Virtual environment does not require cost.
Using the frontend GUI to:
PPT is attached as proposal statement.
Integrated Cloud Native NFV/App stack (ICN)
Stable network topology in IoV
|Blueprint proposed name||MEC-based Stable Topology Prediction for Vehicular Networks|
Initial POD cost
Scale & Type
System will be developed/deployed in VMs.
Open Air Interface (OAI) provided LTE network services will be used.
ONOS will be used at the application layer
VMs and Containers
Committers and PTL (Project Technical Lead)
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