Adaptive DCI Format Subset Selection for PDCCH Blind Detection
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Solution Overview
Problem
Conventional blind detection techniques in wireless communications require user equipment (UEs) to search for all defined downlink control information (DCI) formats in the physical downlink control channel (PDCCH), leading to increased processing intensity, especially when large sets are defined, which is inefficient and resource-intensive.
Innovation Solution
The method involves configuring UEs to search for a subset of DCI formats based on air interface configurations, UE groups, transmission modes, or search space characteristics, thereby reducing the number of searches performed during blind detection without explicit control signaling from the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blind detection searches all defined DCI formats in the PDCCH, then complete control information reception is ensured, but processing intensity and resource consumption increase significantly
Solution Approach 1:
The patent segments the complete set of DCI formats into multiple subsets based on different search spaces and control channel elements. Each subset corresponds to specific search space regions, allowing UEs to process only relevant portions of control information rather than exhaustively searching all formats, thus reducing processing intensity while maintaining reception reliability for assigned resources
Solution Approach 2:
The patent applies local quality by differentiating search requirements across different search space regions. Different search spaces are associated with different DCI format subsets, enabling UEs to adapt their detection behavior locally to the specific region being searched, optimizing processing efficiency for each local context while ensuring complete reception where needed
2Reliability
If blind detection performs exhaustive search of all DCI formats, then no control information is missed, but processing resources and time are consumed unnecessarily
Solution Approach 1:
The patent implements preliminary action by pre-configuring UEs with information about which DCI format subsets correspond to which search spaces and control channel elements. This advance knowledge allows UEs to perform targeted detection without time-consuming exhaustive searches, reducing detection time while maintaining completeness through the pre-established mapping between search regions and format subsets
3Adaptability or versatility
If the UE searches all possible DCI formats, then comprehensive resource assignment detection is achieved, but processing complexity increases
Solution Approach 1:
The patent segments the DCI format search space into distinct regions associated with different control channel elements. By dividing the comprehensive search into manageable segments based on search space and CCE associations, the system maintains broad resource assignment detection coverage while significantly reducing the complexity of processing each individual segment
Solution Approach 2:
The patent introduces dynamic adaptation where UEs adjust their detection behavior based on configured parameters such as search space location, CCE indexing, and air interface configuration. This dynamic approach allows comprehensive resource assignment detection while managing processing complexity through adaptive, context-aware detection rather than static exhaustive search
Data Source
AI summary
It is possible to reduce the processing intensity of blind detection by configuring user equipments (UEs) to search for fewer than all possible DCI formats defined for a physical downlink control channel (PDCCH), as this reduces the number of searches performed by the corresponding UE during blind detection. The UE may select the subset of DCI formats to search for during blind detection based on various criteria, such as an air interface configuration assigned to the UE, a UE group to which the UE belongs, a transmission mode used by the UE, a re-transmission scheme assigned to the UE, a characteristic (e.g., size, location) of the UE's search space, or a combination thereof.