Priority-Based Search Space Categorization for Wireless UE
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Solution Overview
Problem
Wireless communication systems face challenges in efficiently managing and prioritizing multiple grant candidates within a control-resource set (CORESET) for scheduling channels of different priorities, leading to processing power constraints and potential delays in decoding grants for ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) services.
Innovation Solution
Implementing priority-based search space categorization, where user equipment (UE) receives signaling to identify separate search space sets for higher-priority and lower-priority channels, allowing for sequential decoding of grants within these sets to optimize processing time and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the UE decodes all grant candidates in the CORESET without priority-based categorization, then all channels may be scheduled, but processing time increases and power consumption rises
Solution Approach 1:
The search space set is segmented into multiple search spaces based on channel priority. The UE decodes grants in priority order, processing high-priority channels first and potentially skipping low-priority channels when processing time or power constraints are reached. This segmentation resolves the contradiction by dividing the uniform decoding task into prioritized subsets.
Solution Approach 2:
The UE performs preliminary action by decoding high-priority grants first before allocating remaining processing resources to lower-priority grants. This preliminary prioritization ensures that critical communications are handled within time constraints, resolving the contradiction between completing all decodes and meeting timing requirements.
2Reliability
If the UE prioritizes decoding high-priority channels first, then URLLC services are ensured, but low-priority eMBB services may be delayed or missed
Solution Approach 1:
Different quality of service is applied to different search spaces based on channel priority. High-priority search spaces receive guaranteed processing resources and time, while low-priority search spaces receive remaining resources. This local differentiation resolves the contradiction by ensuring URLLC reliability while allowing eMBB to utilize leftover capacity.
Solution Approach 2:
The UE performs partial action by decoding only the necessary high-priority grants within processing constraints, rather than attempting to decode all grants equally. This partial processing ensures critical services are met while acknowledging that low-priority services may be partially or fully skipped when resources are exhausted.
3Adaptability or versatility
If the UE monitors all search spaces for all channel types, then no scheduling opportunities are missed, but processing power constraints are exceeded
Solution Approach 1:
The UE dynamically adjusts its monitoring and decoding behavior based on processing power availability and channel priority. Rather than uniformly monitoring all search spaces, the UE adaptively focuses on high-priority search spaces first and conditionally processes lower-priority ones based on remaining power headroom. This dynamic adaptation resolves the contradiction between versatility and power consumption.
Solution Approach 2:
The UE changes operational parameters such as decoding depth, search space coverage, and processing speed based on power constraints and priority levels. By adjusting these parameters dynamically, the UE maintains scheduling flexibility for critical channels while reducing power consumption by limiting processing of non-critical channels.
4Productivity
If the UE decodes grants sequentially without priority-based categorization, then all grants are processed, but feedback transmission may exceed resource constraints
Solution Approach 1:
The feedback generation process is segmented by channel priority. The UE generates feedback for high-priority channels first, ensuring these critical feedback messages are transmitted within resource constraints. Low-priority feedback is generated only if sufficient resources remain after satisfying high-priority requirements.
Solution Approach 2:
The UE performs preliminary action by identifying and prioritizing which grants require feedback transmission before actual feedback generation. By pre-categorizing grants by priority and allocating feedback resources accordingly, the UE ensures critical feedback is transmitted while managing overall resource consumption.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit an indication that the UE is capable of supporting one or more channels of a first priority and one or more channels of a second priority, where the first priority is higher than the second. The UE may receive signaling indicating a search space set in a control-resource set (CORESET) that corresponds to grant candidates for scheduling the one or more channels of the first priority. The UE may determine a second search space set in the CORESET that corresponds to grant candidates for scheduling the one or more channels of the second priority. The UE may decode, within a search space of the first search space set, a grant for scheduling the one or more channels of the first priority.