Uplink Scheduling via Time Offset Buffer Prediction
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Solution Overview
Problem
In LTE wireless communication systems, the delay between data generation and scheduling request in user equipment buffers leads to inaccurate buffer state prediction and inefficient uplink scheduling, particularly for delay-sensitive services like VoIP, due to the large Dedicated Scheduling Request (D-SR) interval, resulting in increased delay and reduced resource efficiency.
Innovation Solution
A method where user equipment detects data generation in its buffer and sends a scheduling request with a computed time offset value to the base station, allowing the base station to predict the buffer state and grant radio resources more accurately, reducing the need for frequent explicit signaling and improving scheduling efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the D-SR interval is increased to reduce signaling frequency, then signaling overhead is reduced, but the delay between data generation and scheduling request increases, leading to inaccurate buffer state prediction
Solution Approach 1:
The terminal performs preliminary detection of data generation in the buffer and calculates the time offset value in advance. By providing this time offset information proactively with the scheduling request, the terminal enables the base station to accurately predict buffer state even when the D-SR interval is large, thus resolving the contradiction between reduced signaling frequency and accurate buffer state prediction.
2Productivity
If the D-SR interval is increased to reduce the frequency of scheduling requests, then resource allocation efficiency improves, but the accuracy of buffer state prediction deteriorates
Solution Approach 1:
The time offset value acts as an intermediary parameter that bridges the gap between infrequent scheduling requests and accurate buffer state prediction. By introducing this intermediate information element, the base station can accurately infer buffer state without requiring frequent scheduling requests, thus improving resource allocation efficiency while maintaining prediction accuracy.
3Device complexity
If the terminal sends scheduling requests only at predefined D-SR intervals, then the system complexity is reduced, but the scheduling delay increases for delay-sensitive services
Solution Approach 1:
The invention changes the parameter being reported from the traditional buffer status indicator to a time offset value. This parameter change allows the terminal to provide meaningful scheduling information at predefined intervals while enabling the base station to calculate accurate scheduling decisions that account for the actual data generation time, thus reducing scheduling delay without increasing system complexity.
Data Source
AI summary
Method and arrangement in a base station for scheduling radio resources to a user equipment. The method and arrangement comprises receiving a scheduling request from the user equipment, and also a time offset value which value is associated with the moment of time when a frame of data was generated in the user equipment buffer. Also, the moment of time when the frame of data was generated in the user equipment buffer is determined, based on the received time offset value. Thereby the buffer state of the user equipment buffer is predicted by using the determined moment of time when the frame of data was generated in the user equipment buffer. Further, radio resources are granted to the user equipment, based on the predicted buffer state of the user equipment buffer. In addition, a method and arrangement in a user equipment for assisting the base station in scheduling radio resources are described.