5G Beam Selection via Partial Measurement and Prediction
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Solution Overview
Problem
Existing beam determination methods in 5G mobile communication systems are inefficient, leading to high power consumption and resource occupation in user equipment (UE) due to the need for extensive reference signal measurements.
Innovation Solution
A method that determines a target narrow beam for data transmission by selecting a subset of narrow beams corresponding to wide beams, acquiring received signal strength, and using a prediction model to predict the optimal beam, thereby reducing measurement resources and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the UE measures a large number of reference signals to determine the optimal beam, then the beam selection accuracy is improved, but the power consumption and measurement resources of the UE increase significantly
Solution Approach 1:
The patent segments the beam measurement process into two stages: first, the base station performs coarse beam selection and transmits indication information about candidate beams to the UE; second, the UE performs fine measurement only on the indicated candidate beams. This segmentation allows the UE to avoid measuring all beams while still achieving accurate beam selection, thereby reducing power consumption while maintaining measurement precision.
2Measurement precision
If the UE measures a large number of reference signals to determine the optimal beam, then the beam selection accuracy is improved, but the measurement resources and time occupation of the UE increase
Solution Approach 1:
The base station performs preliminary beam selection and determines the candidate beams before the UE performs measurement. The base station uses its measurement results to pre-filter the beam set and transmits only the necessary candidate beam indications to the UE. This preliminary action by the base station reduces the measurement burden on the UE, thereby reducing measurement time while maintaining beam selection accuracy.
3Reliability
If Massive MIMO generates multiple narrow beams to increase spatial coverage, then the signal gain is improved, but the device complexity and implementation difficulty increase
Solution Approach 1:
Instead of requiring the UE to measure all narrow beams generated by Massive MIMO, the patent applies partial action by having the base station indicate only a subset of candidate beams to the UE for measurement. This partial measurement approach maintains the signal gain benefits of multiple narrow beams while reducing the complexity burden on the UE, as the UE only needs to process and measure a limited number of indicated beams rather than all possible beams.
Data Source
AI summary
A beam determination method, apparatus, electronic device, and computer-readable storage medium are provided. The method includes determining at least one to-be-measured narrow beam among narrow beams corresponding to at least one wide beam, acquiring received signal strength of reference signals transmitted through at least one to-be-measured narrow beam, and predicting a target narrow beam for transmitting data based on the received signal strength. In the process of determining the target narrow beam of the disclosure, user equipment (UE) only needs to measure the Reference Signal Received Power (RSRP) of a part of the narrow beams used in the system, thereby reducing the occupation of measurement resources, reducing the measurement burden of the UE, and reducing the power consumption of the UE.