PDCCH Blind Detection Resource Allocation in 5G Terminals
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Solution Overview
Problem
In communication systems, particularly in 5G NR systems, terminal devices face challenges in efficiently performing blind detection of PDCCH due to exceeding the maximum number of blind detections supported, leading to resource inefficiency and increased channel estimation complexity.
Innovation Solution
The method involves reducing the number of PDCCH blind detections in UE-specific and common search spaces based on predefined rules, such as reducing detections in ascending order of aggregation levels or search-space index values, to align with the terminal device's maximum detection capability, thereby optimizing resource usage and reducing channel estimation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal device performs blind detection in all configured search spaces, then the detection coverage is improved, but the number of blind detections exceeds the maximum capability leading to resource inefficiency
Solution Approach 1:
The patent segments the search spaces into different priority levels (first priority and second priority search spaces). When the total number of blind detections exceeds the maximum capability, the terminal device selectively performs blind detection in high-priority search spaces first, and only in low-priority search spaces if capacity remains. This segmentation allows the system to maintain detection coverage for critical control channels while reducing overall detection burden to improve resource efficiency.
2Reliability
If the terminal device performs blind detection in all configured search spaces, then the detection coverage is improved, but the channel estimation complexity increases
Solution Approach 1:
The patent segments the search spaces into different priority levels (first priority and second priority search spaces). When the total number of blind detections exceeds the maximum capability, the terminal device selectively performs blind detection in high-priority search spaces first, and only in low-priority search spaces if capacity remains. This segmentation allows the system to maintain detection coverage for critical control channels while reducing overall detection burden to improve resource efficiency.
3Productivity
If the terminal device reduces the number of blind detections to meet maximum capability, then resource efficiency is improved, but the detection coverage may be reduced
Solution Approach 1:
The patent applies local quality by assigning different priorities to different search spaces based on their importance. First priority search spaces (containing critical control information) are guaranteed to be monitored, while second priority search spaces are monitored only when capacity permits. This ensures that resource efficiency is improved by reducing overall blind detections, while reliability is maintained for critical control channels through prioritized monitoring.
Data Source
AI summary
Embodiments of the disclosure relate to a method for blind detection of a PDCCH and a terminal device. The method includes: when the number of PDCCH blind detections in at least one search space of a terminal device is greater than a maximum number of blind detections, the terminal device reduces the number of PDCCH blind detections in n UE-specific search spaces and/or m common search spaces in the at least one search space, the reduced number of PDCCH blind detections being less than or equal to the maximum number of blind detections; and the terminal device performs PDCCH blind detection in the at least one search space according to the reduced number of PDCCH blind detections. According to the method and the terminal device, the terminal device can allocate the number of blind detections more reasonably, and reduce the complexity of channel estimation of the terminal device.

