5G Beam Training Control Method for Wireless Terminals
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Solution Overview
Problem
In 5G communication systems, there is a need for efficient beam training and link adaptation methods to handle channel degradation situations, as existing methods often perform unnecessary beam training and link adaptation, especially when the selected beam is not the best for overcoming channel degradation.
Innovation Solution
A control method that allows the terminal and base station to adaptively determine when to perform beam training or link adaptation based on changes in channel conditions, suspending unnecessary operations by entering a 'beam lock' state when the best beam remains unchanged, and prioritizing link adaptation on stable beams to maintain optimal communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam training and link adaptation are performed continuously to handle channel degradation, then communication reliability is improved, but system overhead and time consumption increase due to unnecessary operations
Solution Approach 1:
The system implements a feedback mechanism where the terminal reports beam quality information to the base station. The base station uses this feedback to determine whether beam training should be suspended, allowing continuous monitoring while avoiding unnecessary operations when the current beam remains optimal.
Solution Approach 2:
The system dynamically adjusts the beam training operation state between suspended and resumed based on real-time channel conditions. When beam quality degrades below a threshold, the system transitions from suspended to resumed state, providing adaptive response to changing conditions without continuous operation.
2Reliability
If aperiodic beam training is performed frequently to respond to channel changes, then channel degradation is detected faster, but unnecessary training operations increase system complexity and overhead
Solution Approach 1:
The terminal provides feedback on beam quality metrics to the base station, enabling intelligent decision-making about when to trigger aperiodic beam training. This feedback loop prevents unnecessary training operations while ensuring timely detection of genuine channel degradation.
Solution Approach 2:
The system uses configurable threshold parameters to determine when beam training should be suspended or resumed. By adjusting these parameters, the system optimizes the balance between detection sensitivity and operational simplicity, avoiding overly complex behavior while maintaining reliable degradation detection.
3Productivity
If beam training is suspended to reduce overhead, then unnecessary operations are prevented, but response time to actual channel degradation increases
Solution Approach 1:
The continuous feedback mechanism ensures that the system remains informed of beam quality changes even during suspended state. When degradation exceeds the threshold, the feedback triggers rapid resumption of beam training, maintaining fast response while avoiding unnecessary operations during stable conditions.
Solution Approach 2:
The system prepares for rapid resumption by maintaining monitoring capabilities and pre-configuring resumption parameters. When channel degradation occurs, the system can quickly transition from suspended to active beam training without significant delay, effectively preparing in advance for potential needs.
Data Source
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AI summary
This disclosure relates to a 5G or pre-5G communication system to support higher data transmission rate than a 4G communication system such as LTE. A method for controlling a terminal in a wireless communication system according to one embodiment of the present invention comprises: a step of performing beam training; and a first determining step of determining whether to stop a trigger for the beam training according to the result of performing the beam training, on the basis of whether or not a beam having a maximum channel gain is changed. This research was carried out with the support of the "Cross-Ministry Giga Korea Project" of the Korean Government Ministry of Science, ICT and Future Planning.