Static-to-Dynamic Beam Association for Accurate UE Beam Prediction
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Solution Overview
Problem
Existing beam management systems lack a defined association between static and dynamic beams, making accurate beam prediction at user equipment (UE) impossible without assistance information, which is crucial for effective communication.
Innovation Solution
A method and system that transmit a set of static beams and predict a set of dynamic beams for UE, using a beam topology identifier to establish a well-defined association between transmitted and predicted beams for efficient beam identification and prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If no association information is provided between Set A and Set B beams, then the system complexity is reduced, but beam prediction accuracy at UE becomes impossible
Solution Approach 1:
The base station performs preliminary action by pre-defining and transmitting the association relationship between Set A beams and Set B beams before the UE needs to perform beam prediction. This association information is provided in advance through system information or dedicated signaling, enabling the UE to accurately predict beams without requiring complex real-time calculations or additional measurement overhead.
2Measurement precision
If assistance information is transmitted to define beam association, then beam prediction accuracy improves, but information transmission overhead increases
Solution Approach 1:
The association information is represented through compact parameter changes rather than exhaustive beam descriptions. The base station transmits concise association indicators or mapping parameters that enable the UE to derive the relationship between Set A and Set B beams efficiently, minimizing information overhead while maintaining prediction accuracy.
3Reliability
If beam association is not defined, then signaling overhead is reduced, but communication reliability deteriorates
Solution Approach 1:
The beam management process is segmented into distinct phases: Set B beam transmission, association information provision, and Set A beam prediction. The association information itself is segmented into manageable components that can be transmitted through existing signaling structures, reducing overall signaling complexity while ensuring communication reliability through structured information delivery.
Data Source
AI summary
The present disclosure relates to techniques for defining beam association efficient beam identification and prediction. Particularly, the present disclosure transmits a set static beams by a network and based on that, predicting a set dynamic beams for a UE. The set of predicted beams are formed dynamically based on the location of the UE. During beam prediction configuration, transmitting a corresponding beam topology identifier to the UE that assist the UE, using a well-defined association between the set of transmitted and predicted beams, to predict one or more best beams from the set of predicted beams for communicating with a base station. In this way, the beam topology identifier defines a unique association between the set of transmitted beams and the set of predicted beams for efficient beam identification and prediction.


