Enhanced Use cases for Scaling Deterministic Networks

Enhanced Use Cases and Network Requirements

Industrial Internet In the industrial internet, the entire industrial process can be roughly divided into research and development design, production manufacturing, operation and maintenance services. The typical application prospects of deterministic networks mainly include ultra-high definition video, AR/VR, Cloud-based robots, remote control, machine vision, and cloud-based AGV. The scenarios such as machine vision, AGV intelligent control, remote control, and AR assisted robotic arm control demand deterministic requirements.

Machine Vision The machine vision system needs to achieve real-time remote monitoring function, which requires high-speed and large connectivity characteristics. It can monitor the production process execution management system (MES) of manufacturing enterprises through mobile and portable terminals without entering the workshop, and obtain the operating status of the visual inspection system, such as normal operating time, effective operating time, fault cause etc. It is bandwidth sensitive and demand cloud deployment and wide area hosting requirements. The following table shows the main network requirements of machine vision.(These metrics are based on 3GPP Standard 3GPP TS 22.104, 3GPP TR 22.261, and 3GPP TR 22.829.)

+---------------------------------+---------------------------------+ | Machine Vision Requirement | Attribute | +---------------------------------+---------------------------------+ | Bandwidth | Real time upload of image | | | information:>50M | | | | | One-way maximum delay | 10 ms | | | | | Availability | 99.99% | +---------------------------------+---------------------------------+

Remote Control Remote control can ensure personnel safety, improve production efficiency, and achieve assistance from multiple production units. In order to achieve the effect of remote control, the controller needs to send status information to the controller through a communication network based on remote perception. The controller analyzes and makes decisions based on the received status information, and then sends corresponding action instructions to the controller through the communication network. The controller executes the corresponding actions based on the received action instructions, completing the remote control process. In order to guarantee control effectiveness, communication network latency, jitter, and reliability are even more important. The typical application is Cloud-based PLC (Programmable Logic Controller). It is jitter sensitive type and cloud based PLC demand wide area hosting. The following table describes requirements of Cloud-based PLC. (These metrics are based on 3GPP Standard 3GPP TS 22.104, 3GPP TR 22.261, and 3GPP TR 22.829.)

AGV intelligent control Automated Guided Vehicle (AGV) is an intelligent device widely u sed in highly automated places such as factory workshops, airports, ports, freight warehouses, etc. It generally consists of three parts: walking, navigation, and control systems. The automated AGV is equipped with a camera to capture the scene in front of the vehicle and upload it to the MEC and navigation system in real-time through a 5G module for image analysis and route planning, achieving fully automated logistics transportation. AGV has a certain driving speed and is often used in cluster operation scenarios. Therefore, a network connection with high deterministic delay and jitter is required to transmit control signals. The following table describes requirements of AGV intelligent control.(These metrics are based on 3GPP Standard 3GPP TS 22.104, 3GPP TR 22.261, and 3GPP TR 22.829.)

AR Assistance With the intelligent and networked transformation and upgrading of industrial manufacturing equipment, more and more AR assisted intelligent robots will be used in advanced manufacturing. At the same time, there are scenarios where multiple robot systems work together, such as welding, stamping, etc. The robotic arm is the most widely used automated mechanical device in the field of robotics technology, in fields such as industrial manufacturing, medical treatment, entertainment services, military, semiconductor manufacturing, and space exploration. The more axis joints of the AR assisted robotic arm, the higher the degree of freedom, and the larger the angle of the operating range. The following table describes requirements of AR Assistance. (These metrics are based on 3GPP Standard 3GPP TS 22.104, 3GPP TR 22.261, and 3GPP TR 22.829.)

High Experience Video

Cloud VR and AR The key feature of Cloud Virtual Reality/Augmented Reality (Cloud VR/AR) is that content is on the cloud and rendering is on the cloud. By utilizing powerful cloud capabilities, VR/AR user experience is improved and terminal costs are reduced. VR/AR will quickly enter Cloud VR/AR to promote the rapid popularization of VR/AR business. Cloud AR/VR services exhibit strong latency sensitivity, and different levels of experience require differentiated certainty. Cloud VR/AR rendering and streaming latency are divided into three parts: cloud processing, network transmission, and terminal processing. Cloud VR/AR operation latency is divided into cloud rendering latency and terminal secondary rendering and refresh rendering processes. The following table describes requirements of Cloud VR/AR. (These metrics are based on 3GPP TR 22.261).

Cloud Games Cloud Game is an online gaming technology based on cloud computing technology. Cloud gaming technology enables lightweight devices with relatively limited graphics processing and data computing capabilities to run high-quality games. In cloud game scenarios, game related computing is not run on the user terminal, but on a cloud server, which renders the game scene as a video and audio stream and transmits it to the user terminal through the network. The user's cloud gaming experience relies on a high-quality, low latency network environment. The following table describes requirements of Cloud Games:

+----------------------+-----------+---------------------+----------------+ | Requirement | Bandwidth |One-way maximum delay|Video resolution| +----------------------+-----------+---------------------+----------------+ | Junior level | >8Mbps | 150ms |720P | +----------------------+-----------+---------------------+----------------+ | 3A professional level| >12Mbps | 60ms |1080P | +----------------------+-----------+---------------------+----------------+ | Level of esports | >40Mbps | 60ms |4K | +----------------------+-----------+---------------------+----------------+

Cloud Live Streaming For scenarios such as concerts, press conferences, sports events, and live events, cloud live streaming uses 5G uplink high bandwidth to transmit 8K/VR videos. Combined with various applications such as video analysis based on live streaming services, character and scene recognition, real-time presentation of athlete and event data, and VR live streaming interaction, it provides a brand new and rich event viewing experience. The following table describes requirements of Cloud live streaming:

+------------------------+---------------------+ | 8K live streaming | Attribute | | 8K video feedback | | +------------------------+---------------------+ | Bandwidth | upstream>100Mbps | | | | | One-way maximum delay | 200ms | | | | | Availability | 99.9% | | | | | Frame rate | 60 | +------------------------+---------------------+

Computing-aware Applications HPC and big data applications demand high bandwidth and high reliability in carrying capacity. In the field of scientific research, a large amount of computing power resources such as CPU, GPU, memory, and other P-level or higher are usually required. The bearer network needs to provide access data channels of 10G to 100G or above, and propose high reliability and high isolation bearer requirements. In nuclear fusion experiments, the carrier network is required to have 99.999% availability. DC remote disaster recovery proposes deterministic load-bearing requirements for large bandwidth, low latency, and secure isolation. DC remote disaster recovery applications are mainly concentrated in industries such as finance and bonds. The data consistency requirement for remote disaster recovery multi activity systems should not exceed 10ms, and the data consistency requirement for local disaster recovery multi activity systems should be between 1.5ms and 2ms.

Classification of the Differentiated Applications Classification and characteristics has been summarized from the requirements of use cases as described in and this documents. Seven levels of typical applications have been defined including on-site production control, remote production control, production monitoring, production collection, video AI, AR/VR high experience video and key control. Different levels of applications differ in the network ranges and SLAs requirements such as bounded latency, jitter, bandwidth, availability and isolation. The following table summarizes deterministic requirements of industrial internet, cloud video and new computing force applications, ect.