CSI Report CPU Occupancy Estimation Across Multiple Sub-Configurations
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Solution Overview
Problem
Current methods fail to determine CPU occupancy for CSI reports corresponding to multiple sub-configurations in a CSI report configuration, which is essential for optimizing network performance.
Innovation Solution
A terminal determines CPU occupancy by analyzing at least two sub-configurations in a CSI report configuration, considering time periods and CPU usage for each CSI report, allowing staggered CPU occupation based on spatial adaptation patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple sub-configurations are used in CSI report configuration to enable different measurement hypotheses, then the system can obtain multiple CSI reports for better scheduling decisions, but the CPU occupancy increases and resource management becomes complex
Solution Approach 1:
The patent segments the CPU occupancy determination into separate components: each sub-configuration's CPU occupancy is calculated independently based on its specific parameters (number of CSI reports, spatial adaptation patterns, etc.), then the total CPU occupancy is obtained by summing these segmented values. This segmentation approach simplifies the management of complex multi-sub-configuration scenarios.
Solution Approach 2:
The patent introduces specific parameters to quantify CPU occupancy characteristics, including the number of CSI reports per sub-configuration, the number of spatial adaptation patterns, and the time period of CPU occupancy. By changing and adjusting these parameters, the system can flexibly manage CPU resources while supporting multiple measurement hypotheses.
2Productivity
If the terminal performs measurements based on multiple sub-configurations, then multiple CSI reports can be generated for network optimization, but the time period and quantity of CPU occupancy increase
Solution Approach 1:
The patent performs preliminary calculation of CPU occupancy for each sub-configuration before actual CSI report generation. By pre-determining the CPU resources required based on the number of spatial adaptation patterns and CSI reports per sub-configuration, the system can plan and allocate CPU resources efficiently, avoiding excessive or redundant CPU occupancy during execution.
3Measurement precision
If detailed CPU occupancy determination is implemented for each sub-configuration, then resource management precision improves, but the calculation complexity and processing overhead increase
Solution Approach 1:
The patent divides the CPU occupancy determination process into segmented calculations for each sub-configuration, where each segment considers only the relevant parameters for that specific sub-configuration (number of CSI reports, spatial adaptation patterns). This segmented approach achieves precise CPU occupancy determination without requiring complex holistic analysis of all sub-configurations simultaneously.
Data Source
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AI summary
This application pertains to the field of communication technologies, and discloses a channel state information processing unit CPU occupancy determining method and apparatus, and a product. The CPU occupancy determining method in embodiments of this application includes: determining, by a terminal based on at least two first report sub-configurations in a target channel state information CSI report configuration, CPU occupancy required for a target CSI report, where the target CSI report includes at least one of the following: at least two first CSI reports and a second CSI report, where each first CSI report is a CSI report performed by the terminal based on one of the first report sub-configurations, and each first CSI report corresponds to one spatial adaptation pattern; the second CSI report is a CSI report performed by the terminal based on the at least two first report sub-configurations, and the second CSI report corresponds to at least two spatial adaptation patterns; and the CPU occupancy includes at least one of the following: a time period of the CPU occupancy and a quantity of occupied CPUs.