5GC Green Engine Solution to Enable the Green Internet of Everything in the Dual-Carbon Era


PRESS RELEASE: 5G SA has been put into large-scale commercial use around the world. As the engine for digital and smart transformation of thousands of industries, 5G network faces challenges and opportunities in the dual carbon era. In order to build a green infrastructure, it is necessary to continuously use innovative technologies. In addition, advanced grid energy saving and consumption reduction technologies are required to provide the driving force for the green development of thousands of industries, thus bringing greater development opportunities.

As the core and brain of the 5G network, it faces great challenges to save energy and reduce consumption due to many types of NEs, large numbers of MOCs, distributed deployment, and redundant resources. In addition, the CN, which is the brain of the network, needs to be more intelligent and flexible in order to accurately grasp the congestion situation, service type and UE location of network data download and delivery, and to realistically plan and manage the network. time and dynamic. In addition, CN can cooperate with other network domains to power various industries and achieve energy conservation and consumption reduction. Therefore, research and application of energy-saving and consumption-reducing technologies of CN are necessary.

The Green Engine Solution

Facing the opportunities and challenges of green development, ZTE introduces the Green Engine solution based on 5G Common Core. The solution is guided by the ideas of energy saving, enabling and empowering, focused on ToC and ToB scenarios and based on four core technologies of local cloud, hyper-convergence, hardware acceleration and AI/automation. Through this solution, ZTE achieves the green transformation of NFVI, VNF and MANO, promotes the skill building and continuous evolution of CNs, builds a green engine, saves energy for operators’ networks, enables thousands of industries, empowers digital and smart manufacturing, and helping thousands of industries achieve their dual carbon goal in the Internet of Everything (IoE) era.

NFVI: Green base

NFVI consists of two main components: server hardware and a cloud platform. The goal of Green Base is to create green servers and a green cloud platform.

Green server: As the core of the green base, ZTE provides efficient computing through efficient power supply, heat dissipation and architecture to optimize bit power consumption, reduce unnecessary power consumption and significantly reduce PUE.

  • Efficient power supply: Multiple power supply modes such as direct battery supply and titanium power supply are supported to improve power supply efficiency. Intelligent peak shift activation prevents sudden spikes in power consumption.
  • Efficient heat dissipation: A full range of liquid-cooled servers are provided to efficiently dissipate heat for high-powered components. The use of immersion liquid cooling at the size of a data center resource pool will allow PUE to approach 1.01 and save significant power in the main equipment room.
  • Efficient architecture: New architectures such as in-memory computing and near-memory computing are gradually introduced, and new materials such as resistive random access memory (RRAM) and phase change memory (PCM) are also introduced to reduce power consumption by more than 50%. %.
  • Efficient computing: Based on service characteristics, the system performs efficient coordination of multiple computing powers. For example, by combining CPU and FPGA, FPGAs can directly route packets without sending them to CPU and memory, reducing data copy power consumption and bit power consumption.

Green Cloud Platform: As a unified management platform, Green Cloud Platform preserves complexity in terms of scale, type and layout of resources and provides AIO abstract computing power for applications. Green Cloud Platform aims to achieve energy saving and consumption reduction while improving Green Cloud Platform for various applications.

  • Energy conservation and consumption reduction: Energy management and dynamic resource regulation based on service requirements can effectively reduce energy consumption. At the same time, intelligent capacity forecasting is implemented to pre-plan and adjust resource pool capacity to save resource consumption.
  • Green boosting: The platform provides precise resources based on different application requirements (such as acceleration and low latency) to achieve optimal resource matching. In addition, key core capabilities (such as database and load balancing) are shared to reduce application power consumption.

VNF: Green activation

In terms of Green Enablement, CN VNFs play the role of Green Enablement through multi-dimensional energy saving, including the following three aspects:

Cloud-native design and energy-efficient native: VNF architecture is stateless by design and can save 20% of resources. Microservices are used to implement service exchange and build a common service layer of cloud-native VNFs, reducing energy consumption by a maximum of 10%.

High-performance UPFs and intelligent power saving: Hardware acceleration, CPU core-locking and DPDK technologies are used to realize high-efficiency UPFs. In addition, an internal power saving mode is used to start or sleep the CPUs as required according to the network traffic load. Intelligent duty observation has no effect on service smoothing. The dispatch plane requires only one physical CPU core for duty observation, thus reducing power consumption by up to 90%.

Full scenario private network equipment, green enablement: Cloud network hyper-convergence, precision IoT and other features are introduced to help IoT terminals such as smart electricity meters, water meters and public bicycle smart locks save energy. For example, precise IoT negotiates with terminals to introduce a hierarchical power-saving policy on demand, and periodically instructs terminals to sleep at second, hour, and day levels, increasing the standby time of IoT terminals by a factor of ten to 1000.

MANO: Green brain

This is another challenge of how to accurately monitor and control CN while saving energy and reducing consumption. For example, these challenges require a green brain for precise monitoring and management.

CN’s “Green Brain” of ZTE is based on all O&S work (planning, construction, maintenance and optimization). The green transformation of operation and maintenance is promoted through intelligent automation throughout the work process, and a complete set of solutions for green building, energy consumption management, intelligent operation and maintenance, and energy consumption optimization are built to easily see and touch energy savings. and can be intelligently automated to ensure a green operation.

Through continuous cooperation with industry leading operators, the ZTE 5GC Green Engine Solution plays an increasingly important role in the dual carbon goal. Thanks to its leading products and solutions, ZTE has carried out deep cooperation with many operators and industrial enterprises around the world to create low-carbon CNs as green engines to improve the energy efficiency of data centers and accelerate the exit from old systems. contribute to the construction and construction of green, low-carbon, efficient and intelligent new information infrastructure to help high-energy network equipment and operators and industrial customers achieve the goal of green transformation in the dual carbon era. from the green earth.

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