Predictive Buffer State Reporting for Lower Wireless Transmission Latency
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Solution Overview
Problem
Existing buffer state report (BSR) mechanisms in wireless communication systems introduce latency in data transmission from terminal devices to network nodes due to the need for actual assignment of data to logic channels before calculating buffer sizes.
Innovation Solution
The proposed solution involves predicting the buffer size associated with data to be transmitted by the terminal device and transmitting a scheduling request or buffer state report indicating the predicted buffer size to the network node, using artificial intelligence algorithms like LSTM or Arima machine learning models, to reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the terminal device waits for actual data assignment to logic channels before calculating and reporting buffer size, then the buffer size calculation is accurate, but transmission latency increases
Solution Approach 1:
The terminal device performs preliminary prediction of the buffer size using machine learning models (LSTM, Arima) based on historical data and traffic patterns, before actual data assignment to logic channels. This allows the device to report buffer status in advance, reducing transmission latency while maintaining reasonable accuracy for scheduling decisions
2Loss of information
If the terminal device uses traditional BSR mechanisms with data assignment to logic channels, then the buffer status is accurately reported, but the time for data transmission is increased
Solution Approach 1:
Instead of waiting for actual data assignment, the terminal device creates a predicted copy of the buffer size value using machine learning algorithms. This predicted buffer status is then reported to the network node, enabling faster scheduling decisions without requiring the actual data assignment process to complete first
Data Source
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Figure 3C
AI summary
Embodiments of the present disclosure provide methods and apparatus for buffer state report. A method performed at a terminal device may comprise: determining (S100) a time duration, wherein a buffer size associated with data to be transmitted during the time duration is to be predicted by the terminal device; predicting (S101) the buffer size; and transmitting (S102) a scheduling request, SR, or a buffer state report, BSR, indicating the predicted buffer size to a network node. A method performed at a network node may comprise: receiving (S201) a scheduling request, SR, or a buffer state report, BSR, indicating a predicted buffer size associated with data to be received during a time duration from a terminal device; and transmitting (S202) a grant for the data according to the received SR or BSR. The latency of data transmission from the terminal device to the network node may be reduced.