PDCCH Search Space Allocation Under Blind Detection Budgets
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Solution Overview
Problem
Existing communication technologies face challenges in efficiently managing blind detection resources for physical downlink control channels, particularly in scenarios where the network side device exceeds the blind detection capability of terminals, leading to overbooking and increased complexity in candidate PDCCH allocation.
Innovation Solution
A method and apparatus for determining a blind detection resource budget and performing candidate PDCCH allocation based on a first allocation rule, utilizing search space-related, time domain, and frequency domain indices to manage blind detection resources effectively, even in cases of overbooking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If candidate PDCCH allocation is performed in search spaces during overbooking scenarios, then resource utilization is improved, but blind detection complexity increases
Solution Approach 1:
The patent segments the search space into multiple groups and performs candidate PDCCH allocation separately for each group according to a predefined allocation rule. This segmentation approach allows the system to manage overbooking scenarios by dividing the complex blind detection process into smaller, more manageable segments, thereby improving resource utilization while controlling blind detection complexity through structured organization
Solution Approach 2:
The patent establishes a predefined allocation rule that determines candidate PDCCH allocation before actual blind detection occurs. By pre-defining the allocation based on search space indices, time domain indices, and frequency domain indices, the system prepares the resource distribution in advance, which improves resource utilization efficiency while reducing the real-time computational complexity during blind detection
2Reliability
If blind detection resource budget is increased for search space set, then scheduling information detection capability is improved, but processing complexity increases
Solution Approach 1:
The patent applies different allocation rules to different search space groups based on their specific indices and characteristics. By tailoring the candidate PDCCH allocation to local requirements of each search space group rather than applying a uniform approach, the system improves scheduling information detection capability for critical search spaces while avoiding unnecessary processing complexity in less critical areas
Solution Approach 2:
The patent dynamically adjusts the blind detection resource budget allocation by changing parameters such as the number of candidate PDCCHs per search space group, the time domain spacing, and frequency domain resources. These parameter changes allow the system to optimize detection capability for different scenarios while managing processing complexity through controlled adjustment of key parameters
Data Source
AI summary
A control channel allocation method includes determining, by a communication device, a first blind detection resource budget of a first search space set on a first time unit; and performing, by the communication device, candidate PDCCH allocation on the first search space set according to the first blind detection resource budget and a first allocation rule. The first blind detection resource budget includes at least one of a candidate PDCCH budget or a CCE budget. The first allocation rule is related to a search space-related index. The first time unit includes K second time units, and K is a positive integer. The first time unit includes a slot group, and the second time unit includes a slot.