Wireless Node PDCCH Scheduling Cell Grouping
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing multicarrier and multi-antenna technologies, leading to mismatched control channel candidates and non-overlapped Control Channel Elements (CCEs) due to different configuration parameters, resulting in increased blocking probability and reduced scheduling performance.
Innovation Solution
A method that groups serving cells based on scheduling cells to determine cell groups, allowing for consistent configuration and dynamic sharing of control channel candidates and CCEs, optimizing the allocation of PDCCH resources and improving scheduling flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of control channel candidates and non-overlapped CCEs is increased to support multi-antenna and multicarrier transmission, then the scheduling flexibility and system performance are improved, but the blocking probability increases due to mismatched configuration parameters
Solution Approach 1:
The patent dynamically adjusts the number of control channel candidates and non-overlapped CCEs based on configuration parameters such as subcarrier spacing, time window length, and cell group identifiers. This allows the system to adapt the control channel resources to match the actual transmission requirements, resolving the mismatch that causes blocking while maintaining scheduling flexibility.
Solution Approach 2:
The patent introduces dynamic determination of control channel parameters where the number of control channel candidates and CCEs are not fixed but are determined based on real-time configuration parameters including SCS, time window length, and cell group information. This dynamic adjustment enables the system to optimize resource allocation for each scheduling instance, preventing blocking while maintaining adaptability.
2Adaptability or versatility
If different configuration parameters are used for different serving cells to meet diverse application scenarios, then the system adaptability is improved, but the control channel resource allocation becomes inconsistent leading to performance degradation
Solution Approach 1:
The patent applies different configuration parameters (such as SCS, time window length, and cell group identifiers) to different serving cells based on their specific requirements. Each serving cell can have customized control channel parameters while still following a unified determination method, allowing local optimization without sacrificing overall system consistency.
Solution Approach 2:
The patent divides serving cells into different cell groups based on configuration parameters, allowing each group to have optimized control channel settings. This segmentation enables tailored resource allocation for different cell types (e.g., FR1 vs FR2, different bandwidths) while maintaining systematic management through the grouping mechanism.
Data Source
AI summary
The present disclosure provides a method and device in a node for wireless communications. A node receives a first information block, and the first information block is used for determining a scheduled cell set; monitors M1 control channel candidates in a first time window, and the M1 control channel candidates occupy M2 Control Channel Elements (CCEs); a Subcarrier Spacing (SCS) of the M2 CCEs is equal to a first SCS; M1 and M2 are respectively not greater than a first threshold and a second threshold; the scheduled cell set is divided into W cell groups, a first serving cell belongs to the scheduled cell set, and a number of control resource pool(s) in a scheduling cell in the first serving cell is used for determining a cell group to which the control resource pool(s) belongs(belong). The present disclosure improves scheduling performance.