UE Data Size Adaptation via MAC-d Flow Grouping
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Solution Overview
Problem
Existing data size adaptation methods for User Equipment (UE) in 3GPP protocols, such as E-TFC and Grant-based schemes, lead to incorrect estimation and inefficient data transmission due to reliance on current TTI conditions, resulting in wasted resources or increased loss probabilities.
Innovation Solution
The method involves grouping active MAC-d flows by grant type into lists, selecting E-TFC based on the MAC-d flow with the highest power offset, and generating RLC PDUs using a factor based on the maximum variation in scheduled grants to adapt data size for future TTIs, ensuring efficient data distribution and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If E-TFC based schemes are used for RLC PDU size adaptation, then the data rate selection is simplified, but the data size estimation becomes incorrect when buffer occupancy changes between current and future TTI
Solution Approach 1:
The patent performs preliminary actions by determining the list of MAC-d flows that will be active in future TTI before the actual transmission occurs. This advance identification allows the system to predict which flows will contribute data to future transmissions, enabling more accurate data size estimation that accounts for buffer occupancy changes between current and future TTI.
Solution Approach 2:
The patent introduces dynamic adaptation by adjusting the data size estimation based on the actual buffer occupancy status of MAC-d flows at the time of future TTI. Instead of relying solely on current TTI E-TFC selection, the system dynamically determines which MAC-d flows will be active and has data available in the future TTI, making the estimation adaptive to changing conditions.
2Productivity
If Grant based schemes are used for data size estimation, then the scheduling control is improved, but the data size estimation becomes incorrect due to interference from higher priority RBs and grant variations
Solution Approach 1:
The patent segments the grant interpretation process by separating the analysis of different MAC-d flows and their respective buffer occupancies. Instead of treating the grant as a single monolithic value affected by all RBs, the system divides the grant into portions attributable to specific MAC-d flows that will be active in future TTI, eliminating interference from higher priority RBs that are not included in the future TTI transmission.
Solution Approach 2:
The patent extracts only the relevant portion of the grant that applies to MAC-d flows active in future TTI. By identifying and isolating the specific MAC-d flows that will be transmitted in the future TTI, the system extracts the corresponding grant allocation for these flows only, removing the confounding influence of higher priority RBs and other flows that are not part of the future transmission.
3Device complexity
If an arbitrary limit is specified on the number of RLC PDUs to be created, then the system complexity is reduced, but resource utilization becomes inefficient with either too many or too few PDUs created
Solution Approach 1:
The patent changes the controlling parameter from a fixed arbitrary limit on the number of PDUs to a dynamic parameter based on the determined data size for future TTI. The system calculates the appropriate number of PDUs by dividing the determined data size by the PDU size, ensuring that the number of PDUs created matches the actual data availability and transmission requirements, thereby optimizing resource utilization.
Data Source
AI summary
A method is described for adapting the size of data for a future Transmission Time Interval (TTI) by a User Equipment (UE), wherein all the Media Access Control (MAC)-d flows are grouped and stored in different lists based on a type of grants associated with the MAC-d flows, ability of a MAC-d flow to be multiplexed with another MAC-d flow from a list, and data availability in a logical channel mapped onto a MAC-d flow in the current TTI. The E-TFC is then selected by the UE for the future TTI using the MAC-d flow having the highest power offset in a consolidated list including the grouped MAC-d flows. The size of the data is thereby adapted using the selected E-TFC. Further disclosed is a method for generating RLC PDUs by the UE for the future TTI using the variation in the scheduled grant for the UE and the size of the data adapted for the future TTI.