Wireless Signal Beam Control with Predictive TCI State Indication
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Solution Overview
Problem
The increasing demand for faster and more efficient wireless communication systems is challenged by the need to accommodate explosive data traffic, a significant increase in transmission rates, and the number of connected devices, while maintaining low latency and high energy efficiency, particularly in scenarios like high-speed trains where rapid beam adjustments are required.
Innovation Solution
A method and apparatus for configuring transmission configuration indication (TCI) states in wireless communication systems, allowing for the prediction and indication of future beam changes using artificial intelligence/machine learning models to reduce signaling overhead and enhance adaptability to changing channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional beam indication methods are used, then signaling overhead increases, but beam adaptation speed remains limited
Solution Approach 1:
The system performs preliminary actions by predicting future beam changes using AI/ML models before they are needed. The base station uses channel state information and mobility patterns to anticipate optimal beam configurations, preparing beam indications in advance and transmitting them proactively to UEs, thus reducing adaptation time without proportional increases in signaling overhead
Solution Approach 2:
The patent creates simplified copies or representations of beam indication information through AI-generated predictions. Instead of transmitting complete beam management signaling for every change, the system uses compact prediction results that capture essential beam adaptation information, reducing signaling overhead while maintaining effective beam switching capability
2Reliability
If frequent beam adjustments are made to adapt to rapid channel changes, then communication reliability improves, but signaling overhead increases
Solution Approach 1:
The system implements intelligent feedback mechanisms where UEs provide channel state information and mobility measurements back to the base station. The base station uses this feedback to train AI/ML models that predict future channel conditions and optimal beam configurations, enabling reliable beam adjustments based on actual channel behavior patterns rather than frequent reactive signaling
Solution Approach 2:
By using feedback to train prediction models, the system performs preliminary analysis of channel trends and prepares beam adjustment strategies in advance. This allows the system to make reliable beam adjustments only when predicted to be necessary, reducing unnecessary signaling while maintaining communication reliability during rapid channel changes
3Adaptability or versatility
If AI/ML models are used for beam prediction, then adaptability to channel conditions improves, but system complexity increases
Solution Approach 1:
The patent introduces AI/ML models as intermediary components between the base station and UE beam management. These models act as intelligent mediators that process channel state information and mobility patterns to generate beam predictions, bridging the gap between raw measurements and beam control decisions. This intermediary layer enhances adaptability while managing complexity by encapsulating sophisticated algorithms in modular model structures that can be trained and updated independently
Data Source
AI summary
A method and a device for transmitting/receiving a wireless signal in a wireless communication system are disclosed. The method according to one embodiment of the present disclosure comprises the steps of: receiving setting information about a plurality of TCI states from a base station; receiving control information from the base station, the control information including one or more TCI states to be applied to one or more UEs from among the plurality of TCI states, and an individual time offset for each of the one or more TCI states; and transmitting an uplink transmission or receiving a downlink transmission on the basis of the one or more TCI states from the time according to the time offset.