CSI Report Prioritization Under Limited Uplink Resources
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Solution Overview
Problem
The challenge of CSI feedback in communication systems is that the size of CSI reports often exceeds the channel's carrying capacity, particularly when multiple reports need to be transmitted on the same resource.
Innovation Solution
The method involves prioritizing CSI reports based on their type, such as AI-related or AI-unrelated, and dividing them into groups to determine which groups to send first, ensuring higher-priority reports are transmitted when resources are limited.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple CSI reports are transmitted on the same resource, then the quantity of information transmitted is improved, but the channel carrying capacity is exceeded
Solution Approach 1:
The CSI report is divided into multiple groups, where each group contains a subset of CSI parameters. This segmentation allows the network device to selectively receive and process high-priority groups while discarding lower-priority groups when channel capacity is exceeded, thus preventing channel overload while still transmitting multiple reports.
Solution Approach 2:
Different groups of CSI parameters are assigned different priority levels based on their importance for network scheduling and resource allocation. High-priority groups contain critical parameters needed for immediate scheduling decisions, while low-priority groups contain less critical parameters. This local quality differentiation ensures that when channel capacity is limited, the most important information is preserved.
2Loss of information
If all CSI report groups are transmitted, then the completeness of channel information is improved, but the transmission reliability is reduced when channel capacity is exceeded
Solution Approach 1:
The terminal device pre-divides CSI parameters into priority-based groups before transmission. This preliminary action ensures that when the channel cannot accommodate all groups, the network device can reliably receive at least the high-priority groups, guaranteeing transmission success for critical information while maintaining a structured approach to information completeness.
Solution Approach 2:
The system changes the parameter of priority assignment for different CSI parameter groups. By associating different priority levels with different parameter groups, the system enables selective transmission and reception based on channel conditions, thus maintaining reliability for high-priority parameters while managing overall information completeness.
3Productivity
If CSI reports are prioritized and grouped, then the transmission efficiency is improved, but the device complexity is increased
Solution Approach 1:
The CSI report structure is segmented into standardized groups with predefined priority levels. This segmentation provides a systematic framework that improves transmission efficiency by enabling selective processing, while the standardized nature of the groups helps manage the complexity through consistent formatting and clear priority assignments.
Data Source
AI summary
The present disclosure relates to communication methods and communication apparatuses. One example method includes obtaining p groups to be transmitted on a first resource, where the p groups belong to N downlink channel state information CSI) reports, p is an integer greater than 1, and N is an integer greater than 1, and sending a part or all of the p groups on the first resource based on priorities of the p groups, where the priorities of the p groups are based on priorities of the N CSI reports, the priority of the CSI report is based on a type of the CSI report, and a type of at least one of the N CSI reports is an artificial intelligence (AI)-related type.