5G Beam Pair Measurement Using Historical TX Beam Clustering
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Solution Overview
Problem
The process of finding a strongest TX-RX beam pair for communication in 5G networks involves traversing and measuring all beam combinations, leading to significant time and power overheads.
Innovation Solution
A terminal device clusters TX beams based on historical information to form categories and determines a target TX-RX beam pair using these categories and RX beams, reducing the need to traverse all combinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the terminal device traverses and measures all TX-RX beam combinations to find the strongest beam pair, then the beam selection accuracy is improved, but the time overhead and power overhead increase significantly
Solution Approach 1:
The patent segments the TX beams into multiple categories based on historical measurement information. Instead of measuring all TX-RX beam combinations uniformly, the terminal device divides TX beams into categories (e.g., first TX beam category, second TX beam category) and selectively measures only the combinations that are most likely to yield the strongest signal, thereby reducing the total number of measurements required while maintaining beam selection accuracy.
Solution Approach 2:
The patent applies preliminary action by using historical measurement information to pre-categorize TX beams before the current measurement process. The terminal device leverages past measurement results to determine which TX beams are more likely to form strong pairs with RX beams, allowing the device to focus measurement resources on promising combinations rather than exhaustively checking all possibilities.
2Measurement precision
If the terminal device traverses and measures all TX-RX beam combinations, then the beam selection accuracy is improved, but the power consumption increases significantly
Solution Approach 1:
The patent segments the measurement process into categories based on historical TX beam performance. By dividing TX beams into categories and selectively measuring only the combinations that are most likely to yield the strongest signal, the terminal device reduces the total number of measurements required, thereby lowering power consumption while maintaining beam selection accuracy.
Solution Approach 2:
The patent applies preliminary action by using historical measurement information to pre-categorize TX beams before the current measurement process. The terminal device leverages past measurement results to determine which TX beams are more likely to form strong pairs with RX beams, allowing the device to focus measurement resources on promising combinations rather than exhaustively checking all possibilities, thus reducing power consumption.
3Productivity
If the terminal device clusters TX beams into categories based on historical information, then the measurement speed increases, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by performing TX beam clustering based on historical measurement information before the current measurement process. The terminal device uses pre-existing historical data to categorize TX beams, which simplifies the current measurement process by providing a structured approach to selecting beam combinations. This preliminary categorization reduces the complexity of the current measurement task, as the device only needs to measure combinations within the identified categories rather than all possible combinations.
Data Source
AI summary
A measurement method and a terminal device are provided. The method includes: the terminal device clusters at least two transmission (TX) beams based on TX beam historical information of the at least two TX beams, to obtain several TX beam categories; and the terminal device determines a target TX-RX beam pair based on the several TX beam categories and at least one receiving RX beam.