Service Data Scheduling by Traffic Characteristics in Wireless Networks
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Solution Overview
Problem
In wireless communications systems, video services consume significant network resources, and existing technologies struggle to accurately configure network resources based on user requirements, affecting user experience due to difficulties in differentiating and managing video service data effectively.
Innovation Solution
A network device obtains characteristic information of service data, determines scheduling information based on this information, and allocates different scheduling information to different service data to optimize network resource usage and improve user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network resources are allocated uniformly to all service data, then network resource management is simple, but user experience deteriorates due to inability to meet different service requirements
Solution Approach 1:
The patent segments service data into different types (first service data and second service data) based on their characteristics, and allocates different scheduling information to each type. This segmentation allows the network to manage different service requirements separately, improving user experience while maintaining manageable complexity through systematic classification.
Solution Approach 2:
The patent applies local quality by providing different scheduling information (different priorities, resource allocations) to different service data types based on their specific requirements. High-priority service data receives preferential treatment in scheduling, while other data receives standard scheduling, allowing optimized resource distribution tailored to local service needs.
2Reliability
If network resources are allocated based on detailed service data characteristics, then user experience improves, but network device complexity increases
Solution Approach 1:
The network device uses segmentation to classify service data into distinct categories based on characteristic information. This classification mechanism simplifies the complexity by providing a structured framework for differentiation, allowing the device to manage diverse service requirements through a organized system rather than handling each service individually.
Solution Approach 2:
The patent changes scheduling parameters (priority levels, resource allocation settings) based on service data characteristics. By adjusting these parameters dynamically according to service type, the network device can provide differentiated quality of service without requiring fundamentally different processing mechanisms, thus managing complexity through parameter variation rather than structural complexity.
3Ease of operation
If all service data is transmitted with equal priority, then scheduling is simple, but service data transmission efficiency deteriorates due to lack of differentiation
Solution Approach 1:
The patent segments service data into different priority levels based on characteristic information, allowing the scheduling system to handle different types of data differently. This segmentation maintains operational simplicity through clear classification rules while significantly improving transmission efficiency by ensuring critical service data is transmitted preferentially.
Solution Approach 2:
The scheduling system applies local quality by assigning different priorities to different service data types. High-priority service data receives preferential scheduling treatment, ensuring faster transmission, while other data follows standard scheduling. This localized differentiation improves overall transmission efficiency without requiring complete redesign of the scheduling mechanism.
4Reliability
If network resources are dynamically adjusted for different services, then service quality improves, but network resource configuration complexity increases
Solution Approach 1:
The patent uses segmentation to divide service data into distinct categories that can be managed with different resource configurations. This segmentation provides a systematic approach to dynamic resource adjustment, allowing the network to implement quality differentiation through clear classification and corresponding resource allocation rules, thereby managing configuration complexity.
Solution Approach 2:
The network dynamically adjusts scheduling parameters (priority, resource allocation) based on service data characteristics. By changing these parameters according to service type rather than redesigning the entire resource configuration system, the network can improve service quality while maintaining manageable configuration complexity through parameter-based flexibility.
Data Source
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AI summary
Embodiments of this application provide a service data transmission method, a network device, and a terminal device. The method includes: obtaining, by a network device, characteristic information of service data; determining, by the network device based on the characteristic information, scheduling information for transmitting the service data; and transmitting, by the network device, the service data to a terminal device based on the scheduling information. In the embodiments of this application, the network device obtains the characteristic information of the service data, determines, based on the characteristic information of the service data, the scheduling information for transmitting the service data, and then transmits the service data to the terminal device based on the scheduling information, so that the network device can allocate scheduling information based on requirements of different service data, to properly use network resources and improve user experience.