Multi-Cell DCI Alignment for Lower PDCCH Blind Decoding
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Solution Overview
Problem
The fragmentation of frequency resources in 5G NR technology leads to increased complexity in blind decoding and compromised transmission performance due to varying DCI sizes for multi-cell scheduling, particularly with the introduction of MC-DCI formats, which require additional zero bits for alignment.
Innovation Solution
The method involves determining first resource ranges within which DCI alignment operations are performed, allowing terminals to deduce the size of MC-DCI, reducing blind decoding complexity by isolating DCI formats and sizes through separate resource ranges or cell groups, and aligning MC-DCI sizes using zero padding or truncation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If DCI alignment operation is performed across all resource ranges, then DCI size consistency is improved, but blind decoding complexity increases due to varying MC-DCI sizes
Solution Approach 1:
The patent divides resource ranges into separate first resource ranges and second resource ranges, with different DCI alignment operations performed in each. This segmentation allows the terminal to perform blind decoding separately in each resource range with a fixed DCI size, rather than dealing with varying sizes across all resources, thus reducing overall decoding complexity while maintaining size consistency within each segment.
Solution Approach 2:
Different DCI alignment operations are applied to different resource ranges based on local characteristics. The first resource range uses one alignment operation while the second resource range uses another, allowing each local segment to be optimized independently. This local optimization reduces the terminal's blind decoding burden while maintaining overall DCI size consistency through coordinated alignment across ranges.
2Stability of the object's composition
If zero bits are added for DCI alignment, then DCI size alignment is improved, but transmission performance of PDCCH deteriorates
Solution Approach 1:
By segmenting resource ranges and performing alignment operations separately in each segment, the patent reduces the total number of zero bits needed for alignment. Instead of aligning across all resources uniformly, each segment can use fewer padding bits, thereby preserving more useful signal energy and improving PDCCH transmission performance while still achieving size consistency within each segment.
Solution Approach 2:
The patent changes the alignment parameters (zero bit padding amounts) differently for different resource ranges. By adjusting the alignment parameters locally rather than applying a uniform alignment across all resources, the total number of zero bits is reduced, which improves transmission performance while maintaining the necessary size alignment for proper DCI processing.
3Device complexity
If separate resource ranges are used for different DCI formats, then blind decoding complexity is reduced, but spectrum utilization efficiency decreases
Solution Approach 1:
The patent segments resource ranges for different DCI formats but optimizes the segmentation by allowing flexible configuration of first and second resource ranges. This controlled segmentation reduces blind decoding complexity by separating formats into manageable segments while maintaining high spectrum utilization through efficient resource allocation within each segment and coordinated usage across segments.
Data Source
AI summary
A method for receiving downlink control information (DCI), including: determining first resource ranges corresponding to a serving cell; determining a size corresponding to multi-cell downlink control information (MC-DCI) based on a DCI alignment operation performed in each of the first resource ranges; and receiving and parsing the MC-DCI based on the size.