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From the use case perspective, the following are the potential use cases. More are is possible in the future.
- Accurate Location: Accuracy of location improved by over 10 times than today’s GPS system. Today’s GPS system is around 5-10 meters away from your reallocation, <1 meter is possible with the help of Connected Vehicle Blueprint.
- Smarter Navigation: Real-time traffic information update, reduce the latency from minutes to seconds, figure out the most efficient way for drivers.
- Safe Drive Improvement: Figure out the potential risks which can NOT be seen by the driver.
- Reduce traffic violation: Let the driver understand the traffic rules in some specific area. For instance, change the line prior to a narrow street, avoiding the opposite way drive in the one-way road, avoiding carpool lane when a single driver and so on.
From the technology architecture perspective, the blueprint consists of four major layers.
- Hardware Layer: Connected Vehicle Blueprint runs on top of community hardware. Both Arm and x86 server are well supported.
- IaaS Layer: Connected Vehicle Blueprint can be deployed in virtual environment on community hardware, virtual machine as well . Virtual Machine, Container as well as other IaaS mainstream software（like OpenStack, Kubernetes and so on) are as the container. Both the Arm and x86 platforms are BOTH well supported.
- PaaS Layer：Tars is the microservice framework of Connected Vehicle Blueprint. Tars can provide high-performance RPC calls, deploy microservice in larger scale-out scenarios efficiently, provide easy-to-use service monitor management features.
- SaaS Layer: The latest v2x application depicted in the foregoing use case perspective.
From a the network architecture perspective, the blueprint can be deployed in both 4G and 5G networks. Two key points should be paid special attention to. One is offloading data to edge MEC platform. The policy of data offload is configurable based on different applications. The other is the ability that letting the edge talks to the other edges as well as the remote data center. In some use cases, date process the data in one edge can NOT address the application's requirements, we need to collect the data from different edges or send the data to the remote data center.
"Tencent continuously promotes network innovation from application perspectives. We believe that application-based network innovation will promote a stronger ecosystem, which can bring tremendous benefits to our customers and stakeholders."
- Xin Liu, General Manager of Future Network Lab, Tencent
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