Beam Training Method Using Interference Indication
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Solution Overview
Problem
In beam-based communication systems, existing methods for beam training do not adequately consider interference factors, leading to suboptimal communication quality and efficiency, especially in scenarios where multiple beams are used and interference between them affects signal transmission.
Innovation Solution
The proposed method involves the access node sending interference-related indication information to the UE, allowing it to consider interference during beam training, and selecting beams based on interference impact, thereby improving beam alignment and communication quality through explicit or implicit indication of interference sources and using multiple beams for interference measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam training is performed without considering interference factors, then the beam alignment process is simple and fast, but communication quality deteriorates due to unoptimized beam selection in multi-beam scenarios
Solution Approach 1:
The access node performs preliminary actions by sending interference-related indication information to the UE before the beam training process. This allows the UE to have advance knowledge of interference sources and configure its beam selection criteria accordingly, resolving the contradiction by preparing interference information in advance rather than handling it during the training process
Solution Approach 2:
The system implements feedback mechanisms where the access node sends interference indication information to the UE, and the UE feeds back beam selection results. This closed-loop feedback allows continuous optimization of beam alignment while managing interference, improving communication quality without excessive complexity
2Reliability
If multiple beams are used for interference measurement, then communication quality improves through interference consideration, but beam training time increases
Solution Approach 1:
Interference-related indication information is sent preliminarily before beam training begins, allowing the UE to prepare its measurement configuration in advance. This preliminary preparation enables efficient multi-beam interference measurement without time-consuming real-time analysis during the training process
Solution Approach 2:
The beam training process uses periodic measurement and evaluation cycles where the UE measures interference periodically across multiple beams and reports results. This periodic approach allows systematic interference assessment while managing training time through structured measurement intervals rather than continuous analysis
3Measurement precision
If interference-related indication information is sent explicitly, then beam selection accuracy improves, but signaling overhead increases
Solution Approach 1:
The interference-related indication information is sent selectively and locally rather than globally. The access node identifies specific interference sources and sends targeted indication information only when and where needed, improving beam selection accuracy for affected beams while minimizing overall signaling overhead by avoiding unnecessary broad notifications
Data Source
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AI summary
Embodiments of this application disclose a beam training method, apparatus, and system. In a downlink beam training process, a terminal device performs beam training by determining interference-related indication information, a selection criterion for a beam to be reported in a group-based reporting manner, and a rank Rank condition, and selects and reports a beam satisfying a related factor condition, to implement on-demand downlink beam training. In an uplink beam training process, based on a gain adjustment indication of a network side, uplink beam training is performed in consideration of a gain factor, so that on-demand uplink beam training is implemented. In this technical solution, different factors such as interference and a channel condition are considered in a beam training process, so that effective on-demand beam training can be implemented.