Scenario-Based Intelligent Assurance Helps Users Upgrade Their 5G Experience

With 5G’s popularization, users' network demands are diversifying, especially in short videos, cloud games and extended reality (XR), which places higher requirements for speed, latency, bandwidth and reliability. Operators must effectively manage and optimize network resources. The introduction of intelligent computing boards in base stations enhances AI computing power, meets the computing needs of endogenous intelligent applications, and optimizes wireless access network performance in traffic processing, user experience, energy efficiency, spectrum efficiency and perception. Through precise resource allocation, intelligent scheduling, and personalized user experience guarantees, operators can ensure a stable, high-quality network experience, even in complex scenarios.

Enhancing Wireless Access Networks with Intelligent Computing Boards

Improve Experience and Enhance Connection Value

Traditionally, operators rely on the 5G QoS Identifier (5QI) hierarchical guarantee mechanism to differentiate the guarantee levels of different service types. However, this approach is often insufficient in meeting complex network requirements. Intelligent computing boards in base stations use deep recognition and analysis to identify over 16,000 protocols and applications, enabling customized assurance strategies for each application and thereby achieving differentiated services. By mapping services to specific types, operators can adjust scheduling priority levels or guaranteed rates to better meet diverse needs. For delay-sensitive services, optimal scheduling paths are extracted to reduce delays, ensuring stable network connections under high load. By sensing user behavior and traffic needs, base stations intelligently direct user traffic to avoid network congestion and improve the overall user experience. Assurance strategies based on intelligent in-depth identification and analysis enhance user experience, boost network connection value, and strengthen operators’ competitive advantage.

Improve Energy Efficiency and Reduce Carbon Emissions

As global sustainability efforts grow, improving energy efficiency and reducing carbon emissions have become key tasks for operators. Differentiated centralized scheduling, based on service identification, not only saves energy but also reduces packet delays caused by subframe silence and packet accumulation. Through precise service filtering, operators can effectively avoid unnecessary increases in delay.

The intelligent computing board introduces refined service identification, enabling service-level experience and energy-saving collaboration and applying differentiated energy-saving strategies to balance energy savings and performance. For example, the packet accumulation scheduling function is deployed based on service characteristics, with thresholds for function enablement and packet accumulation delays set accordingly. When the network is under low load, it automatically exits unschedulable time slots based on the delay information and shuts down invalid resources, optimizing resource utilization efficiency and reducing energy consumption. With AI technology, the board analyzes user behavior, service demands and network status in real time,  predicting network load and dynamically adjusting resource allocation to support green development.

Optimize Maintenance Efficiency, Improve Network Quality, and Reduce Costs

The intelligent computing board in base stations enables wireless perception operation and maintenance (O&M) through an innovative wireless single-domain lightweight perception system, driving network optimization and cost reduction.

• Real-time association of service key quality indicators (KQI) and network KPIs ensures 100% data accuracy.
• Second-level QoE evaluations for each user service call help operators quickly identify and solve user experience issues.
• Perception data, summarized by raster and grid dimensions, combined with the geographical environment, allow comprehensive analysis of the root causes of poor quality to improve O&M accuracy and effectiveness.
• Multi-level VIP protection and major protection solutions ensure network stability during critical moments.

The application value of the intelligent computing board is shown in Fig. 1.

Scenario-Based Application of Intelligent Computing Boards

Different application scenarios have diverse network service demands. Short video and cloud game users require extremely low latency and high bandwidth, while smart manufacturing and Internet of Vehicles prioritize network reliability and stability. The intelligent computing board uses AI technology to accurately identify over 16,000 segmented applications, providing customized protection strategies for each and ensuring stable network services for both 2B and 2C users, even under high load conditions. It also integrates a wireless-side perception evaluation system that links network KPIs with service experience to optimize user experience issues.

Government Affairs Center Scenarios

In government affairs centers, ensuring the stable operation of key applications (e.g., government affairs apps, WeChat, and Alipay) is crucial. The intelligent computing board uses AI technology to identify application traffic in real-time and prioritize scheduling, ensuring that these applications receive resources first under high load for smooth service delivery. Through indoor and outdoor inter-frequency collaboration and a dynamic breathing network, the board optimizes traffic gains and overall network efficiency. Its AI-based dynamic resource adjustment mechanism maximizes traffic gains and intelligently triggers coverage rollback when KPIs deteriorate to ensure network stability. This intelligent management approach significantly enhances network support capabilities, providing users with a smoother and more reliable network experience.

University Scenarios

In university settings, traditional macro coverage networks often face congestion in dormitory areas. The intelligent computing board automatically identifies and prioritizes key applications, such as online learning and scientific research applications, while limiting low-value traffic to optimize network resource utilization. It also optimizes resource allocation dynamically based on user IDs in new packages, improving spectrum efficiency and meeting students’ varied needs. Through cell portrait analysis, the system evaluates traffic suppression in real time and adjusts the scheduling algorithm to improve spectrum efficiency and delay the network load inflection point during high traffic periods. This intelligent network management strategy helps operators better manage peak network demand in universities and provide a more stable service.

Medical Scenarios

In medical environments, user numbers vary significantly between holidays and weekdays, with peak usage from 8 a.m. to 3 p.m., often causing network congestion for services such as QR code payment, instant messaging, and medical insurance apps. The intelligent computing board utilizes AI technology to ensure the network stability for key medical applications and seamless operation of services such as payments, diagnosis, and treatment. The system provides multi-dimensional visual analysis, real-time network monitoring, and optimization for commonly used applications such as WeChat, helping operators quickly identify and resolve potential issues. Through intelligent management, the board enhances network decision-making, enabling operators to handle peak network pressures and ensure smooth and stable medical services and an optimized user experience.

Business Districts and Scenic Spots

In high-density scenarios such as business districts and scenic spots, heavy traffic creates tidal effects, with short video services dominating traffic demand. AI-powered real-time perception of user behavior and traffic demand allows precise network protection and quality experience for high-value users. Intelligent MIMO technology improves spectrum efficiency and network capacity by optimizing beam selection and user pairing. The exploration of AI within the intelligent computing board to enhance channel state information feedback offers new opportunities for improving network performance. These technologies help operators meet high-standard network experience demands across various services, including short videos, live broadcasts, and instant messaging.

Subway Scenarios

In subway scenarios, tidal fluctuations in passenger flow require dynamic network management, especially during peak hours. The application of AI technology effectively enhances the user experience, especially at ticket gates and security inspection areas, by improving code scanning efficiency through intelligent optimization and speeding up passage. In carriages and tunnels, the high demand for instant messaging and video playback places stringent requirements on network speed and stability. By strengthening network coordination, smooth connections can be ensured in high-demand scenarios, significantly improving overall service quality and meeting users' high expectations for network experience.

High-Speed Railway Scenarios

High-speed railway network assurance requires fast response and strong technical support. The intelligent computing board improves network quality in high-traffic and fast-moving environments. By identifying service types in real time, the intelligent computing board provides customized assurance strategies and makes timely adjustments to accommodate traffic changes. The system automatically triggers a self-healing mechanism to protect the service experience of VIP users. Additionally, varying average bit rate limits are set for video services to optimize the perceived quality of other services. Geographical raster data display enables network managers to monitor and optimize network conditions, ensuring service continuity and stability.

The application of intelligent computing boards has significantly improved the intelligence of wireless access networks. Through precise resource scheduling, real-time load prediction, and intelligent fault repair, operators can optimize network performance and provide users with a higher-quality network experience. In the future, wireless access networks will become even more intelligent, flexibly adapting to changing service demands and network environments, further promoting the application and development of 5G networks.