Predicted CSI Beam Reporting for Faster Beam Management
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing beamforming processes, particularly in environments with varying channel conditions, leading to suboptimal performance and resource utilization.
Innovation Solution
Implementing predicted beam measurements through channel state information (CSI) reporting, where a UE measures and reports on both current and predicted beam measurements based on a predefined mapping between resource sets, enabling more informed beam management decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional beam management procedures are used without predicted beam measurements, then the system structure remains simple, but beam selection efficiency and communication performance deteriorate
Solution Approach 1:
The patent applies preliminary action by performing beam measurements and storing them in advance before actual beam management is needed. The UE measures beam signals and stores measurement data in a database, so that when beam selection is required, the system can quickly retrieve and use pre-measured data along with predictions to determine optimal beams, thereby improving beam selection efficiency without requiring complex real-time measurements for every decision.
Solution Approach 2:
The patent implements feedback mechanisms where the UE reports measured beam information back to the network node, and the network node uses this feedback to refine future beam predictions. The system continuously iterates by measuring actual beam performance, comparing it with predicted values, and adjusting subsequent beam selection decisions, creating a closed-loop feedback system that improves beam management accuracy over time.
2Measurement precision
If comprehensive beam measurements are performed for all resources, then measurement precision improves, but measurement time and processing resources increase
Solution Approach 1:
The patent segments the beam measurement process into two distinct parts: (1) comprehensive measurements of a first set of resources to establish baseline data and patterns, and (2) selective measurements of a second set of resources only when necessary. The system uses the measured data from the first set to predict beam characteristics for the second set, so that full measurements are performed only on a subset of resources while predictions fill in the rest, reducing total measurement time while maintaining precision for critical beams.
Solution Approach 2:
The patent uses copying by creating a mapping relationship between the first set of measured resources and the second set of resources to be evaluated. Instead of directly measuring all possible beams, the system copies the measurement patterns and predictive models from the first set to infer characteristics of the second set, thereby obtaining accurate beam information without performing exhaustive measurements on all resources.
3Speed
If predicted beam measurements are used without CSI reporting, then resource allocation speed increases, but reliability of beam selection decreases
Solution Approach 1:
The patent reinforces feedback by having the UE explicitly report channel state information (CSI) for the first set of resources, which then serves as validation data for the predictions. The network node compares predicted beam measurements against the actual CSI reports, and uses this feedback to adjust and refine future predictions. This feedback loop ensures that even though the system uses predictions for fast resource allocation, the predictions remain grounded in actual measured performance, maintaining high reliability.
Solution Approach 2:
The patent applies preliminary action by having the UE perform and report CSI measurements in advance for the first set of resources before the network node needs to make resource allocation decisions for the second set. This pre-measurement and pre-reporting creates a foundation of verified data that the network can use to generate reliable predictions, ensuring that when resource allocation occurs, the predictions are already based on solid, pre-validated measurements rather than speculation.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, an indication to transmit a channel state information (CSI) report associated with a first set of resources and a second set of resources, and wherein a mapping indicates that each resource included in the second set of resources is associated with at least one resource included in the first set of resources. The UE may transmit, to the network node, the CSI report indicating: one or more measurement values from a set of measurement values associated with the first set of resources, and one or more predicted measurement values associated with a second one or more resources from the second set of resources, that are selected based on the first one or more resources and the mapping. Numerous other aspects are described.