Blind Decoding Control for Wireless User Equipment
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Solution Overview
Problem
In new generation wireless communication systems, determining the optimal number of blind decoding times for schedule signaling on each control resource set is challenging due to varying service requirements and larger carrier bandwidths, which affects decoding performance and power consumption.
Innovation Solution
A method and apparatus that acquire control resource set attribute information and blind-decoding-time-number information to determine the maximum number of blind decoding times for each control resource set, allowing flexible allocation based on configuration information received from the base station, such as the number of control resource sets, size, or aggregation levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal performs more blind decoding times to improve schedule signaling decoding performance, then the decoding performance is improved, but the decoding complexity and power consumption of the terminal are increased
Solution Approach 1:
The patent segments the blind decoding process by dividing the search space into multiple stages. The terminal first performs decoding on a first set of candidate PDCCHs with a first maximum number of blind decoding attempts, then performs decoding on a second set of candidate PDCCHs with a second maximum number of blind decoding attempts. This segmentation allows the terminal to distribute decoding efforts across different stages, improving the likelihood of successful decoding while managing power consumption through staged execution rather than exhaustive simultaneous decoding.
2Reliability
If the terminal performs more blind decoding times to improve schedule signaling decoding performance, then the decoding performance is improved, but the decoding complexity of the terminal is increased
Solution Approach 1:
The patent divides the blind decoding process into multiple stages with different maximum numbers of decoding attempts. The first stage decodes a first set of candidate PDCCHs up to a first maximum number of times, and the second stage decodes a second set of candidate PDCCHs up to a second maximum number of times. This segmentation reduces decoding complexity by avoiding a single exhaustive decoding process, allowing the terminal to manage computational resources more efficiently while maintaining improved decoding performance.
Solution Approach 2:
The patent implements dynamic adjustment of blind decoding parameters based on decoding outcomes. The terminal adjusts the number of blind decoding attempts and the set of candidate PDCCHs based on whether decoding succeeded or failed in previous stages. This dynamic approach allows the system to adapt to actual channel conditions and terminal capabilities, optimizing the balance between decoding performance and complexity rather than using a fixed exhaustive approach.
3Adaptability or versatility
If multiple control resource sets are configured for the terminal to support larger carrier bandwidths, then the support for larger bandwidths is improved, but the difficulty of determining blind decoding times increases
Solution Approach 1:
The patent segments the control resource sets into multiple groups, with each group having associated candidate PDCCHs that are decoded in separate stages. The terminal is configured with multiple control resource sets to support larger carrier bandwidths, and the blind decoding process is divided into stages where different maximum numbers of decoding attempts are applied to different segments. This segmentation makes the determination of blind decoding times more manageable by breaking down the complex multi-resource-set scenario into smaller, more tractable segments.
Data Source
AI summary
The present disclosure provides a method and an apparatus for determining a number of blind decoding attempts of schedule signaling, UE, a base station, and a computer-readable storage medium. The method of determining a number of blind decoding attempts of schedule signaling includes: acquiring control resource set attribute information for each transmission unit, where the control resource set attribute information indicates an attribute of a control resource set corresponding to the transmission unit, and one or more control resource sets are configured for the transmission unit and acquiring number of blind decoding attempts information associated with the control resource set attribute information; and determining a maximum number of blind decoding attempts of the schedule signaling on each control resource set is determined according to the control resource set attribute information and the number of blind decoding attempts information associated with the control resource set attribute information.


