SPS/CG Priority Ordering for Reduced UE Blind Decoding
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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 prioritization techniques for SPS and CG configurations, including receiving and transmitting prioritization indications to optimize resource allocation and reduce blind decoding efforts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple SPS or CG configurations are used to support diverse service requirements, then service adaptability is improved, but blind decoding complexity increases
Solution Approach 1:
The network node pre-configures multiple SPS or CG configurations with different service types, periodicities, and resource allocations before actual data transmission. This preliminary setup allows the UE to have multiple service-ready configurations without performing complex blind decoding for each new service requirement, thus improving service adaptability while controlling decoding complexity.
Solution Approach 2:
The patent segments the blind decoding process by introducing a prioritization mechanism that divides multiple SPS/CG configurations into different priority levels. The UE performs blind decoding first on high-priority configurations, then on lower-priority configurations only if needed. This segmentation reduces the average blind decoding complexity while maintaining the ability to support diverse services through multiple configurations.
2Reliability
If blind decoding is performed on all configured grants to ensure reliable reception, then communication reliability is improved, but processing overhead increases
Solution Approach 1:
The network node performs preliminary prioritization of CG configurations before the UE performs blind decoding. By pre-marking high-probability configurations with higher priority indicators, the system ensures that the UE focuses blind decoding efforts on the most likely configurations first, maintaining reliable communication while significantly reducing the average processing overhead compared to exhaustive blind decoding of all configurations.
Solution Approach 2:
The patent introduces dynamic prioritization where the priority of each CG configuration can change based on current channel conditions, traffic patterns, and service requirements. This dynamic adjustment allows the system to adaptively balance reliability and processing efficiency - when channel conditions are good, fewer configurations need detailed decoding, while in poor conditions, the system can focus on the most critical configurations, maintaining reliability while optimizing processing efficiency.
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.