Base Station Device Grouping by Delay Tolerance
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Solution Overview
Problem
In LTE networks, base stations face challenges in efficiently configuring parameters for multiple user devices with varying delay tolerances, making it difficult to optimize channel resource usage when the number of devices is large.
Innovation Solution
The base station configures codes for user devices based on their delay tolerances and service types, groups them into first-type and second-type groups, and then forms target groups to optimize channel usage by selecting devices with matching delay tolerances and channel-usage demands, allowing for efficient allocation of resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the base station configures parameters for each user device individually, then the service quality for each device can be optimized, but the complexity of parameter configuration increases significantly when the number of user devices is large
Solution Approach 1:
The patent segments user devices into different groups based on their parameter characteristics, particularly delay tolerance. By dividing the large number of user devices into smaller subgroups with similar characteristics, the base station can configure parameters more efficiently while still maintaining optimized service quality for each group, thus resolving the contradiction between individual optimization and configuration complexity.
Solution Approach 2:
The patent applies local quality by configuring parameters specifically tailored to each group's characteristics rather than using a uniform configuration for all devices. Each group receives parameter settings optimized for its specific delay tolerance and channel usage patterns, ensuring service quality is maintained for each local group while avoiding the complexity of individual device configuration.
2Productivity
If the base station configures parameters for all user devices, then channel resource usage efficiency can be improved, but the difficulty of configuration increases due to varying parameter characteristics among devices
Solution Approach 1:
The patent segments user devices into groups based on parameter characteristics such as delay tolerance. This segmentation allows the base station to configure parameters for each group separately, making the configuration process more manageable and easier to operate while still achieving efficient channel resource usage across all devices through targeted group-specific configurations.
3Productivity
If user devices are grouped by delay tolerance, then the allocation of channel resources can be optimized, but the device complexity increases due to the need for classification and grouping management
Solution Approach 1:
The patent uses parameter changes, specifically delay tolerance values, as the basis for grouping user devices. By changing the grouping criterion to a specific measurable parameter (delay tolerance), the system can automatically classify devices into appropriate groups, optimizing channel resource allocation while managing complexity through objective parameter-based classification rather than subjective manual grouping.
Data Source
AI summary
A grouping method of user devices comprises configuring one or more codes for each of the user devices by a base station wherein each of said one or more codes corresponds to a delay tolerance, performing a grouping task by the base station according to the delay tolerances and a determining result of channel-usage demand corresponding to each of the user devices so as to form one or more first-type groups and one or more second-type groups wherein each first-type group corresponds to a first-group delay tolerance and each second-type group corresponds to a second-group delay tolerance, and performing a selection from user devices in the first-type groups and the second-type groups to form one or more target groups by the base station according to the first-group delay tolerances and the second-group delay tolerances.