Downlink Control Channel Blind Detection Optimization
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Solution Overview
Problem
The complexity of blind detection in downlink control channels, particularly in LTE and New Radio systems, leads to high computational burdens and power consumption for terminals, which is not optimized for emerging service scenarios like eMBB, mMTC, and URLLC that require high reliability, low latency, and large bandwidth.
Innovation Solution
The method involves a terminal and base station collaboration where the base station provides auxiliary information about the time-domain duration and resource mapping mode of a Control Resource Set (CORESET) to the terminal, allowing the terminal to perform targeted blind detection, reducing unnecessary searches and optimizing detection scope and strategy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal performs blind detection on all possible CCEs to ensure complete coverage of downlink control information, then the detection reliability is improved, but the computational complexity and power consumption increase significantly
Solution Approach 1:
The patent divides the blind detection process into two distinct phases: public search space detection and UE-specific search space detection. Each search space has its own detection rules, aggregation levels, and maximum detection counts. This segmentation allows the terminal to systematically manage detection complexity while ensuring comprehensive coverage of control information, resolving the contradiction between complete detection and computational burden.
Solution Approach 2:
The patent implements maximum detection count limits for each search space (e.g., max_blind_detection_count for public search space, max_ue_specific_blind_detection_count for UE-specific search space). Instead of requiring detection of all possible CCE combinations, the system performs a sufficient number of detections to achieve reliable detection with high probability, thereby reducing computational complexity while maintaining detection reliability.
2Measurement precision
If the terminal increases the number of blind detection attempts to ensure detection of control signaling, then the detection accuracy is improved, but the power consumption increases
Solution Approach 1:
The patent dynamically adjusts the detection strategy based on the search space type and aggregation level. For public search space, the terminal performs detections with specific aggregation levels (AL=4, AL=8) and adjusts the number of detections based on detected PDCCH count. For UE-specific search space, the terminal adapts detection attempts based on configured maximums and actual detection outcomes. This dynamic adjustment optimizes the balance between detection accuracy and power consumption.
Solution Approach 2:
The patent incorporates feedback mechanisms where the terminal monitors the number of successfully detected PDCCHs and adjusts subsequent detection attempts accordingly. When PDCCH detection succeeds, the terminal can reduce further detection attempts in that search space, thereby reducing power consumption while maintaining detection accuracy through adaptive control based on real-time detection outcomes.
3Ease of manufacture
If the system uses a fixed search space structure for public search space, then the implementation simplicity is improved, but the adaptability to different service scenarios is reduced
Solution Approach 1:
The patent implements a dual search space structure where public search space provides universal, fixed-position detection for common control information (system information, paging, random access response), while UE-specific search space provides flexible, configurable detection for user-specific scheduling. This multi-functional design allows the system to handle diverse service scenarios (eMBB, mMTC, URLLC) with different reliability and latency requirements while maintaining implementation simplicity through standardized detection procedures.
Solution Approach 2:
The patent segments control channel detection into public search space with fixed structure for simplicity and UE-specific search space with configurable parameters for adaptability. The public search space uses predetermined aggregation levels and detection counts, while the UE-specific search space allows configuration of search space sets, aggregation levels, and maximum detection counts based on service requirements, thereby achieving both simplicity and adaptability.
4Reliability
If the terminal performs comprehensive blind detection across all aggregation levels, then the detection coverage is improved, but the detection time increases
Solution Approach 1:
The patent performs preliminary detection in the public search space first, where the terminal checks for PDCCH at predefined aggregation levels (AL=4, AL=8) with configured maximum detection counts. This preliminary action allows the terminal to quickly identify common control information or determine if detection is needed in UE-specific search space, thereby reducing overall detection time while maintaining comprehensive coverage through structured progression through different search spaces and aggregation levels.
Data Source
AI summary
The present disclosure provides a downlink control channel detection method, a terminal, and a Base Station (BS). The method includes: obtaining first and second auxiliary information from a BS, in which the first auxiliary information indicates a time-domain duration of a Control Resource Set (CORESET) of a downlink control channel, which is allocated by the BS, the second auxiliary information indicates a resource mapping mode from a Resource Element Group (REG) of CORESET to Control Channel Elements (CCE); performing a blind detection on the downlink control channel, based on the first and second auxiliary information.