UE Blind Decoding Priority for Downlink Control Candidates
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Solution Overview
Problem
The increasing number of aggregation levels and control channel candidates in blind decoding processes for downlink control channels in next-generation communication systems leads to higher time and power consumption, hindering performance improvement in terminals.
Innovation Solution
A terminal is equipped with a decoding circuit that determines a decoding priority based on reference information, performs candidate filtering-based blind decoding on control channel candidates according to this priority, and receives downlink control information, thereby optimizing the decoding process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of aggregation levels and control channel candidates is increased to improve downlink control channel transmission reliability, then the reliability is improved, but the time and power consumption for blind decoding increase
Solution Approach 1:
The patent segments the blind decoding process by dividing aggregation levels into different priority groups. The terminal performs decoding on high-priority aggregation levels first, then proceeds to lower-priority levels only if necessary. This segmentation allows the terminal to maintain reliability for critical control information while reducing overall decoding time and power consumption by avoiding unnecessary decoding operations on lower-priority levels.
Solution Approach 2:
The patent applies partial action by having the terminal decode only a subset of all possible control channel candidates based on priority rules. Instead of exhaustively decoding every candidate across all aggregation levels, the terminal performs partial decoding focused on high-priority candidates, which is sufficient for reliable communication in most cases while significantly reducing computational burden and energy consumption.
2Reliability
If the number of aggregation levels and control channel candidates is increased to improve transmission reliability, then the reliability is improved, but the time consumed for blind decoding increases
Solution Approach 1:
The patent segments the decoding process temporally and hierarchically by assigning priority levels to different aggregation levels. The terminal follows a structured decoding sequence that processes high-priority aggregation levels before lower-priority ones. This segmentation enables the terminal to quickly obtain reliable control information from high-priority levels without needing to exhaustively search all candidates, thereby reducing total decoding time while maintaining communication reliability.
Solution Approach 2:
The patent implements preliminary action by establishing priority rules and reference information before the actual decoding process. The terminal uses pre-determined priority criteria (such as aggregation level thresholds or channel condition assessments) to guide the decoding sequence in advance. This preliminary preparation allows the terminal to efficiently navigate the decoding process and avoid time-consuming operations on low-priority candidates that are unlikely to yield reliable results.
3Loss of time
If candidate filtering-based blind decoding is performed according to decoding priority, then time and power consumption are reduced, but the complexity of the decoding process increases
Solution Approach 1:
The patent reduces decoding complexity through preliminary action by establishing clear priority rules and reference information frameworks before the decoding process begins. The terminal uses pre-configured criteria (such as aggregation level thresholds, channel quality indicators, or historical decoding statistics) to automatically determine decoding priorities. This preliminary structuring simplifies the actual decoding execution by replacing complex adaptive decision-making with straightforward priority-based sequencing, thereby reducing operational complexity while maintaining time efficiency.
Solution Approach 2:
The patent incorporates feedback mechanisms where the terminal monitors decoding results and channel conditions to adjust its decoding strategy. By using feedback from previous decoding attempts and current channel state information, the terminal refines its priority assessments and filtering decisions. This feedback loop enables the complex decoding process to operate more efficiently by learning from past performance and adapting to changing conditions, thereby reducing the effective complexity through intelligent automation.
Data Source
AI summary
An operating method of a terminal, the operating method includes determining a decoding priority of a plurality of aggregation levels based on reference information, the plurality of aggregation levels corresponding to a downlink control channel, performing candidate filtering-based blind decoding on one or more control channel candidates corresponding to the plurality of aggregation levels according to the decoding priority to obtain a decoding result, and receiving downlink control information based on the decoding result.