Configured Grant Prioritization for Lower Blind Decoding Overhead
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in managing semi-persistent scheduling (SPS) and configured grant (CG) blind decoding, leading to suboptimal resource utilization and increased processing overhead.
Innovation Solution
Implementing a method for prioritization of SPS and CG configurations through transmit prioritization indications, allowing UEs and network nodes to selectively process communications based on priority, thereby reducing unnecessary blind decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blind decoding is performed for all configured grants and semi-persistent scheduling configurations, then communication reliability is maintained, but processing overhead and complexity increase
Solution Approach 1:
The patent segments the blind decoding process by dividing configured grants and SPS configurations into priority groups. The UE performs blind decoding only on high-priority configurations first, and only proceeds to lower-priority configurations if necessary. This segmentation reduces the total number of blind decoding operations while maintaining reliability through hierarchical processing.
Solution Approach 2:
The network node provides prioritization indications in advance before the UE performs blind decoding. The UE uses these pre-provided priority levels to organize and sequence its blind decoding operations, performing them in a predetermined order from highest to lowest priority. This preliminary organization eliminates the need to decode all configurations equally, reducing overall processing overhead.
2Productivity
If multiple configured grants and SPS configurations are simultaneously processed, then resource utilization is improved, but blind decoding complexity increases
Solution Approach 1:
The patent applies local quality by assigning different priority levels to different configured grants and SPS configurations based on their specific requirements. High-priority configurations receive immediate attention through blind decoding, while lower-priority configurations are processed conditionally. This differentiated approach allows simultaneous processing of multiple configurations while managing complexity through priority-based selection.
Solution Approach 2:
The system dynamically adjusts blind decoding behavior based on priority indications received from the network. The UE can adapt its decoding sequence and depth according to the prioritization information, making the processing dynamic rather than static. This allows the system to handle varying resource utilization scenarios while controlling complexity through adaptive priority-based processing.
3Productivity
If prioritization indications are implemented for configured grants and SPS configurations, then processing efficiency is improved, but device complexity increases
Solution Approach 1:
The prioritization indication mechanism serves multiple functions: it guides blind decoding order, enables resource allocation decisions, and provides QoS differentiation. By implementing a universal priority framework, the system achieves processing efficiency improvements across multiple operations without requiring separate mechanisms for each function, thereby limiting the increase in overall device complexity.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, configuration information indicating configurations for a plurality of configured grants. The UE may receive, from the network node, a transmit prioritization indication associated with the plurality of configured grants. The UE may transmit, to the network node, an uplink communication in a configured grant selected from the plurality of configured grants based at least in part on the transmit prioritization indication. Numerous other aspects are described.