Simultaneous Multi-Band Beam Training for Wireless Terminals
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Solution Overview
Problem
Current beam training methods in high-frequency (HF) communications systems are inefficient due to the need for sequential frequency band training, leading to prolonged training times and reduced system coverage.
Innovation Solution
A method where a terminal device reports capability indication information to a network device, indicating its ability to perform simultaneous beam training in multiple frequency bands, allowing the network device to coordinate beam training across multiple frequency bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sequential frequency band training is used, then beam training can be performed in each frequency band, but training time is prolonged and efficiency is reduced
Solution Approach 1:
The patent combines beam training operations across multiple frequency bands by enabling the terminal device to simultaneously perform beam training in multiple frequency bands. The network device schedules reference signals in different frequency bands at the same time, and the terminal device measures and reports beam information for all frequency bands concurrently, merging what was previously sequential operations into a parallel process that reduces total training time and improves efficiency
Solution Approach 2:
The patent introduces a frequency band dimension to the beam training process, transitioning from training a single frequency band at a time to training multiple frequency bands simultaneously. By adding the frequency dimension to the time-domain training sequence, the system achieves parallel processing across different frequency bands, thereby reducing the overall training duration while maintaining comprehensive beam coverage
2Productivity
If simultaneous beam training in multiple frequency bands is enabled, then training efficiency is improved, but the terminal device must report capability indication information and coordinate with the network device
Solution Approach 1:
The patent applies preliminary action by having the terminal device first report its beam training capability indication information to the network device before actual training begins. This capability indication allows the network device to determine the maximum number of frequency bands the terminal can handle simultaneously, enabling the network to pre-configure appropriate reference signal schedules that match the terminal's capabilities, thereby avoiding coordination issues during the training process
Solution Approach 2:
The patent implements feedback mechanisms where the terminal device reports capability indication information about its beam training abilities to the network device. Based on this feedback, the network device adjusts the beam training configuration, including the number of frequency bands to train simultaneously and the scheduling of reference signals. This feedback loop ensures that the training configuration matches the terminal's actual capabilities, managing coordination complexity effectively
Data Source
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AI summary
This application provides a beam training method and a communications apparatus. The method includes: generating, by a terminal device, capability indication information, where the capability indication information is used to indicate that the terminal device can support simultaneous beam training in a maximum of N frequency bands, and N is an integer greater than or equal to 1; and sending, by the terminal device, the capability indication information. In this way, the network device may select a plurality of frequency bands at a time based on a capability of the terminal device to simultaneously perform beam training. Therefore, in the embodiments of this application, when the quantity N, of frequency bands for simultaneous training, supported by the terminal device is greater than 1, beam training may be simultaneously performed between the network device and the terminal device in a plurality of frequency bands. Therefore, the embodiments of this application can improve beam training efficiency.