Predictive CSI Reporting for Secondary Component Carriers
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Solution Overview
Problem
The continuous overheads in mobile communication systems due to Channel State Information (CSI) reporting, particularly on Secondary Component Carriers (SCCs), impact UE connections and cell throughput, which cannot be effectively mitigated by reducing reporting frequency without significant performance degradation.
Innovation Solution
A method and apparatus that utilize a trained machine learning-based prediction model to adjust the CSI reporting frequency for SCCs based on the correlation between Primary and Secondary Component Carriers, dynamically increasing or decreasing the frequency based on prediction accuracy to maintain system performance during channel variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If CSI reporting frequency is reduced for SCCs, then signaling overhead is reduced and cell throughput is improved, but channel state tracking accuracy deteriorates
Solution Approach 1:
The patent introduces a correlation model as an intermediary between the base station and UE CSI reports. This model predicts SCC channel states based on PCC CSI reports, allowing the base station to infer accurate channel state information without requiring frequent direct CSI reports from the UE on SCCs, thus reducing overhead while maintaining accuracy
Solution Approach 2:
The patent creates a virtual copy of the SCC channel state information by deriving it from PCC CSI reports through the correlation model. This copied information allows the base station to track SCC channel conditions without the UE actually reporting them, effectively reducing the number of required CSI reports while maintaining tracking capability
2Loss of energy
If CSI reporting frequency is reduced for SCCs, then overhead impact on PCC capacity is reduced, but system performance deteriorates
Solution Approach 1:
The correlation model acts as a mediator that translates PCC CSI information into accurate predictions of SCC channel states. This allows the system to maintain reliable channel state knowledge for SCCs without requiring direct CSI reporting, thereby reducing the overhead burden on the PCC while preserving system performance
Solution Approach 2:
The patent implements a feedback mechanism where the base station continuously monitors the correlation between PCC and SCC channel states and adjusts the correlation model parameters accordingly. This feedback loop ensures that the predicted SCC channel states remain accurate even as channel conditions change, maintaining system reliability while reducing reporting overhead
Data Source
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AI summary
A method comprising: receiving from a user equipment supporting Carrier Aggregation, CA, Channel State Information, CSI, reports for a Primary Component Carrier, PCC, for one or more previous time slots and for a current time slot; receiving, from the user equipment, CSI reports for a Secondary Component Carrier, SCC. The CSI reports include at least one CSI report for a previous time slot. Each CSI report includes a value of at least one channel state indicator. The method further comprises: predicting a value of the channel state indicator for the SCC for the current time slot, wherein the value is predicted on the basis of one or more values of the channel state indicator reported for the PCC for the one or more previous time slots and for the current time slot and at least one value of the channel state indicator reported for the SCC for the previous time slot.