AI-Based CSI Feedback Resending for Packet Loss Recovery
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Solution Overview
Problem
Frequent packet losses in CSI feedback information lead to a mismatch in state information between terminal and network devices, deteriorating feedback performance in AI-based wireless communication systems.
Innovation Solution
Implement a CSI feedback resending mechanism, including adjusting uplink resources and transmit power, switching feedback modes, and resetting AI model states to ensure accurate and consistent channel information recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AI-based CSI feedback mode is used to compress channel information, then information loss is reduced and accuracy is improved, but feedback performance deteriorates frequently due to packet losses
Solution Approach 1:
The terminal device stores historical CSI feedback information in advance and prepares to resend it when packet loss is detected. This preliminary preparation ensures that when packet loss occurs, the device can quickly retrieve and resend the stored CSI information without waiting for lengthy retransmission protocols, thus maintaining feedback performance while using AI-based compression.
Solution Approach 2:
The system implements a feedback mechanism where the terminal device monitors the reception status of CSI feedback information and triggers resending based on packet loss detection. This feedback loop ensures that the AI-based compression system can adapt to transmission failures by automatically initiating resends, thereby maintaining reliability without sacrificing the compression efficiency and accuracy benefits.
2Stability of the object's composition
If state information is updated synchronously on both terminal and network device sides, then matching degree is maintained, but system complexity increases
Solution Approach 1:
The terminal device maintains a local copy of the state information and uses this copy to determine which CSI feedback information needs to be resent. Instead of implementing complex real-time synchronization protocols between terminal and network device, the terminal independently tracks its own state information history and uses this to trigger selective resending, thereby maintaining consistency without excessive synchronization overhead.
Solution Approach 2:
The terminal device autonomously manages its state information and determines resending needs based on its local records of transmitted CSI feedback. This self-service approach allows the terminal to maintain state consistency independently without requiring continuous coordination with the network device, reducing system complexity while preserving stability.
3Reliability
If CSI feedback information is resent upon packet loss, then feedback performance is recovered, but uplink resource consumption increases
Solution Approach 1:
Instead of resending all CSI feedback information, the terminal device selectively resends only the specific CSI feedback packets that were lost. This partial action approach retrieves the necessary feedback performance by focusing resources only on the missing information rather than redundant full resends, thereby reducing uplink resource consumption while maintaining reliability.
Solution Approach 2:
The system changes the transmission parameter from continuous periodic CSI feedback to event-triggered selective resending. By monitoring packet loss events and triggering resends only when necessary, the system optimizes uplink resource usage by transmitting CSI feedback information at variable intervals based on actual need rather than fixed schedules, reducing overall resource consumption while maintaining performance.
Data Source
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AI summary
Embodiments of this application provide a communication method and a communication apparatus. The method includes: A terminal device sends CSI feedback information to a network device, and the network device sends first indication information to the terminal device, to indicate the terminal device to re-report CSI feedback information. The solutions in embodiments of this application may be applied to a communication system with an AI/ML function, to help reduce adverse impact caused by a packet loss of CSI feedback information, and ensure CSI feedback performance.