Spatial Filter Prediction for Low-Latency NR Beam Management
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Solution Overview
Problem
The overhead and latency issues in uplink and downlink beam management in new radio systems due to the need to traverse all combinations of transmit and receive beams for optimal selection, leading to excessive resource usage and signaling delays.
Innovation Solution
Implementing AI/ML models at both the terminal device and network device for uplink and downlink spatial filter prediction based on transmitting and receiving side deployed network models, allowing for beam alignment without explicit signaling, thereby reducing overhead and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all combinations of transmit beams and receive beams are traversed to select optimal beam, then beam alignment accuracy is improved, but overhead and latency increase significantly
Solution Approach 1:
The patent applies preliminary action by having the terminal device predict the optimal receive beam direction before actual downlink reception based on previously measured uplink beam directions. This prediction mechanism allows the terminal to prepare the receive beam in advance, eliminating the need to wait for complete beam sweeping procedures and thereby reducing latency while maintaining accurate beam alignment.
Solution Approach 2:
The patent uses the uplink beam measurement results as an intermediary to infer the optimal downlink receive beam direction. Instead of directly measuring all downlink beam combinations, the terminal uses the uplink beam information as a mediator to predict the corresponding downlink beam, significantly reducing the number of measurements needed while maintaining alignment accuracy.
2Measurement precision
If all combinations of transmit beams and receive beams are traversed to select optimal beam, then beam alignment accuracy is improved, but signaling overhead increases
Solution Approach 1:
The patent extracts only the essential information needed for beam alignment by having the terminal report only the predicted optimal receive beam direction to the network device, rather than reporting results from exhaustive beam combinations. This extraction approach reduces signaling overhead while maintaining the necessary beam alignment accuracy through intelligent prediction.
Solution Approach 2:
The patent uses copying by having the terminal device copy the spatial filter characteristics from uplink transmit beams to downlink receive beams. Based on the measured uplink beam directions, the terminal predicts and applies corresponding receive beam configurations, eliminating the need to explicitly signal all beam combination measurements while achieving accurate beam alignment.
3Measurement precision
If comprehensive beam sweeping is performed for both uplink and downlink, then spatial filter management accuracy is improved, but resource consumption increases
Solution Approach 1:
The patent applies preliminary action by performing uplink beam measurements and predictions before downlink beam configuration. The terminal device uses the uplink beam information to predict downlink receive beams in advance, reducing the need for exhaustive downlink beam sweeping and thereby conserving energy and network resources while maintaining spatial filter management accuracy.
Solution Approach 2:
The terminal device performs self-service by autonomously predicting its optimal receive beam directions based on its own uplink beam measurements. This self-prediction capability eliminates the need for the network device to coordinate and manage exhaustive beam sweeping procedures, reducing overall system resource consumption while maintaining accurate spatial filter management.
Data Source
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AI summary
A wireless communication method, a terminal device, and a network device are provided. The terminal device can support uplink spatial filter prediction based on transmitting and receiving sides deployed network models, and/or the terminal device can support downlink spatial filter prediction based on the transmitting and receiving sides deployed network models, thereby reducing overhead and latency for uplink spatial filter management and/or downlink spatial filter management. The wireless communication method includes the following. A terminal device transmits first capability information. The first capability information indicates whether the terminal device supports uplink spatial filter prediction based on transmitting and receiving sides deployed network models, and/or the first capability information indicates whether the terminal device supports downlink spatial filter prediction based on the transmitting and receiving sides deployed network models.