Beam Selection Using Historical Measurement Data
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Solution Overview
Problem
Current beam management solutions in telecommunication networks, particularly for 5G new radio and LTE, face challenges in efficiently selecting and monitoring a set of beams, leading to increased signaling burden and potential beam failure due to outdated measurements.
Innovation Solution
A method where a Base Station function receives measurement data from User Equipment, retrieves similar historical data from a database, and selects a set of beams to be monitored based on this data, thereby reducing the overhead signaling and improving beam alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam training with historical measurement data is used to select beams for monitoring, then the reliability of beam selection is improved, but the device complexity increases due to historical database requirements
Solution Approach 1:
The system performs preliminary actions by collecting and storing beam measurement data in a historical database before actual beam selection is needed. This historical data is prepared in advance and can be quickly retrieved when beam selection is required, improving reliability without adding complex real-time processing requirements.
Solution Approach 2:
The invention creates a copy of historical measurement data and uses it to predict future beam qualities. Instead of requiring complex real-time analysis, the system copies past measurement patterns and applies them to current beam selection decisions, simplifying the overall system complexity while maintaining reliable selection.
2Loss of information
If a smaller set of beams is selected for monitoring based on historical data, then the signaling overhead is reduced, but the measurement precision may be compromised
Solution Approach 1:
The invention replaces extensive mechanical measurement processes with a data-driven prediction approach. By substituting historical data analysis for comprehensive real-time beam measurements, the system reduces signaling overhead while maintaining accurate beam quality assessment through pattern recognition from past measurements.
3Manufacturing precision
If beam training is performed frequently to ensure accurate beam selection, then the beam alignment accuracy is improved, but the loss of time increases due to repeated measurements
Solution Approach 1:
The system performs beam training measurements in advance and stores the results in a historical database. When beam selection is needed, the system retrieves pre-analyzed historical data instead of performing time-consuming real-time beam training, thus maintaining high alignment accuracy while significantly reducing the time required for beam selection.
Solution Approach 2:
The historical database serves itself by automatically storing and organizing beam measurement data for future retrieval. This self-service mechanism eliminates the need for repeated manual beam training processes, maintaining accuracy while reducing time loss through automated data reuse.
Data Source
AI summary
A method of selecting a set of beams to be monitored by a User Equipment (UE) in a telecommunication network comprises the steps of receiving measurement data comprising measurements of qualities of beams observed by said UE, where said beams originate from at least one access node (AN) to the UE and from at least one other AN to the UE; retrieving at least one measurement data from a particular UE that matches the received measurement data, where the historical database comprises historical measurement data comprising measurements of qualities of beams observed by UE's in said telecommunication network over time; selecting a set of beams to be monitored by said UE based on the retrieved measurement data and based on subsequent measurement data of the particular UE over time in the historical database; and transmitting said selected set of beams to be monitored to said UE.