Wireless Device Data Profile Feedback for Scheduling Accuracy
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Solution Overview
Problem
Current communication systems lack real-time data feedback on dynamic data requirements for applications running on wireless devices, leading to inaccurate resource management and scheduling decisions by base stations.
Innovation Solution
Implementing a method to create and aggregate data profiles that capture real-time data requirement changes for applications, which are then transmitted to network entities, enabling more informed scheduling and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If base station uses traditional GBR/MBR/ABR information for scheduling decisions, then resource management is simplified, but scheduling accuracy and resource allocation efficiency deteriorate due to lack of real-time data feedback
Solution Approach 1:
The patent implements a feedback mechanism where the wireless device monitors application data requirements and sends real-time feedback to the base station. This feedback includes information about actual data usage patterns, buffer status, and application performance requirements, enabling the base station to make more accurate scheduling decisions while maintaining manageable complexity through structured feedback formats.
Solution Approach 2:
The wireless device performs self-monitoring of application data requirements and autonomously generates scheduling feedback information. The device tracks its own buffer status, application performance metrics, and data usage patterns, then reports this self-collected information to the base station, reducing the need for complex base station-side monitoring while improving scheduling accuracy.
2Reliability
If base station receives separate indications of data requirements for certain applications, then some real-time information is obtained, but the data requirements remain inaccurate due to the dynamic nature of applications
Solution Approach 1:
The patent implements dynamic tracking of application data requirements by continuously monitoring buffer status, data usage patterns, and application performance metrics. The feedback mechanism adapts to changing application conditions by updating scheduling information in real-time, allowing the system to handle dynamic application behavior while maintaining accurate data requirement information for reliable scheduling decisions.
Data Source
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AI summary
A method, wireless device, and network entity for communicating real time data communication requirements for applications running on a wireless device. The method includes identifying a change in a data communication requirement for an application running on an application layer of a communication reference model of the wireless device, and providing to a lower layer of the communication reference model, the lower layer being lower than the application layer, a data profile, the data profile representing the change in the data requirements for the application running on the application layer of the wireless device.