Adaptive CSI Feedback Interval for Wireless Communication
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Solution Overview
Problem
Current wireless communication methods are inefficient in adapting the CSI feedback interval, relying on channel coherence time and estimation errors, which leads to suboptimal resource utilization and signaling overhead, and do not effectively account for the specific performance requirements of applications.
Innovation Solution
A goal-oriented CSI feedback interval is adapted based on the measured effectiveness of data processing, using a predetermined metric that focuses on the actual performance of tasks rather than classical channel estimation errors and coherence time, allowing for optimized transmission parameters such as power, antennas, and modulation schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a fixed or adaptive CSIFI is designed based on channel coherence time and estimation error, then the signaling overhead is reduced, but the CSI accuracy and resource utilization become suboptimal
Solution Approach 1:
The patent applies dynamics by making the CSIFI adaptive rather than fixed. The system continuously adjusts the CSIFI based on real-time channel conditions, specifically adapting to changes in channel coherence time and estimation error. This dynamic adjustment allows the system to optimize between signaling overhead and CSI accuracy according to current channel states, resolving the contradiction between reducing overhead and maintaining accuracy.
Solution Approach 2:
The patent changes the parameter of CSIFI based on measured channel conditions. By monitoring channel coherence time and estimation error, the system modifies the CSIFI parameter dynamically. When channel conditions are stable, the CSIFI can be extended to reduce signaling overhead; when conditions change rapidly, the CSIFI is shortened to maintain CSI accuracy, thus resolving the trade-off between these two opposing requirements.
2Productivity
If the CSIFI is increased to reduce signaling overhead, then resource utilization improves, but the CSI becomes outdated and less accurate
Solution Approach 1:
The system dynamically adjusts the CSIFI based on measured channel coherence time. When the channel is stable (long coherence time), the system increases the CSIFI to reduce signaling overhead and improve resource utilization. When the channel changes rapidly (short coherence time), the system decreases the CSIFI to maintain accurate CSI measurements, thus resolving the contradiction between resource utilization and measurement precision.
Solution Approach 2:
The patent implements feedback by continuously measuring channel coherence time and using this information to adjust the CSIFI. The system monitors the actual channel conditions and feeds this information back to modify the feedback interval, ensuring that CSI accuracy is maintained while optimizing resource utilization. This closed-loop feedback mechanism resolves the trade-off between these two parameters.
3Reliability
If the CSIFI is decreased to maintain accurate CSI, then the CSI freshness is improved, but the signaling overhead and resource consumption increase
Solution Approach 1:
The system changes the CSIFI parameter based on measured channel conditions to optimize the trade-off between CSI freshness and resource consumption. When channel conditions are stable, the CSIFI is extended to reduce resource consumption while maintaining adequate freshness. When conditions change rapidly, the CSIFI is shortened to ensure CSI freshness, thus resolving the contradiction between these two requirements.
Solution Approach 2:
The patent applies dynamics by making the CSIFI adaptive rather than fixed. The system continuously adjusts the CSIFI based on real-time channel conditions, specifically adapting to changes in channel coherence time and estimation error. This dynamic adjustment allows the system to optimize between signaling overhead and CSI accuracy according to current channel states, resolving the contradiction between reducing overhead and maintaining accuracy.
Data Source
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AI summary
The present invention concerns a wireless communication method between a sender and a receiver through a time-varying radio channel, the time-varying radio channel being characterized by channel state information (CSI) and a choice of transmission parameters, the channel state information being estimated each CSI feedback interval; the method comprising the following steps: - transmitting (110) data from the sender to the receiver using current transmission parameters; - processing (120) the transmitted data by the receiver; - measuring (130) a goal-effectiveness of data processing by the receiver using a predetermined goal-effectiveness metric; - adapting (140) the CSI feedback interval based of the measured goal-effectiveness; - adapting (160) the transmission parameters based on the channel state information estimated according to the adapted CSI feedback interval.