mm-Wave 5G Beam Measurement Subsets for Faster Beam Tracking
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Solution Overview
Problem
In mm-wave 5G wireless communication systems, the high free-space propagation loss and mobility of user devices lead to rapid fluctuations in link quality, necessitating fast beam determination and tracking to maintain reliable and low-latency connections.
Innovation Solution
A method is introduced where a base station obtains a subset of target beams for a terminal device based on historical association between the source beam and target beams, reducing the burden of beam measurement for the terminal device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all target beams are measured by the terminal device, then beam measurement precision is improved, but terminal device complexity and power consumption increase
Solution Approach 1:
The network side performs preliminary actions by determining the subset of target beams to be measured based on historical association data before the terminal device executes the measurement. This pre-processing reduces the measurement burden on the terminal device while ensuring that the most relevant beams are selected for measurement, thus resolving the contradiction between measurement precision and device complexity.
2Measurement precision
If a large number of target beams are measured, then beam determination accuracy is improved, but measurement time increases
Solution Approach 1:
The network side extracts only the necessary subset of target beams from the complete set of available beams based on historical association data. By taking out only the relevant beams that are most likely to be associated with the source beam, the system maintains beam determination accuracy while significantly reducing the number of beams that need to be measured, thus resolving the contradiction between measurement precision and measurement time.
3Productivity
If historical association data is collected and processed, then beam measurement efficiency is improved, but network side processing complexity increases
Solution Approach 1:
The historical association data collection and processing mechanism is designed as a universal function on the network side that serves multiple purposes: it enables subset determination for various source beams, adapts to different terminal devices, and works across different beam scenarios. This multi-functional design improves beam measurement efficiency while the processing complexity is managed through a standardized, reusable framework on the network side.
Data Source
AI summary
Methods and apparatuses are disclosed for beam measurement. According to an embodiment, a base station obtains a subset of target beams of at least one neighboring base station which is to be measured by a terminal device. The subset is based on historical association between a source beam serving the terminal device and one or more of the target beams. The base station transmits information indicating the subset to the terminal device.