Beamforming Codebook Layout for Predictive Beam Management
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Solution Overview
Problem
Existing wireless communication systems lack an efficient mechanism for a user equipment (UE) to predict signal strengths of channel resources based on antenna locations and spatial information, especially in deployments with large antenna arrays, leading to increased signaling overhead and power consumption.
Innovation Solution
Implementing a beamforming codebook that indicates antenna locations and spatial information for both channel measurement and beam prediction, allowing the UE to identify associations between channel resources and predict signal strengths, thereby reducing signaling overhead and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE performs channel measurements on multiple channel resources to determine signal strengths, then the reliability of beam management is improved, but the power consumption and measurement overhead increase
Solution Approach 1:
The network entity performs channel measurements and determines signal strengths for channel resources in advance, before the UE needs to use this information. The results are then provided to the UE through the beamforming codebook, eliminating the need for the UE to perform power-consuming measurements on all channel resources.
Solution Approach 2:
The network entity acts as an intermediary that performs measurements on behalf of the UE. Instead of the UE directly measuring all channel resources (which consumes power), the network entity measures and provides pre-processed measurement results to the UE through standardized signaling.
2Measurement precision
If the network entity provides detailed antenna location and spatial information for all channel resources, then the beam prediction accuracy is improved, but the signaling overhead increases
Solution Approach 1:
Antenna location and spatial information is provided selectively rather than universally. The beamforming codebook contains detailed spatial information only for specific channel resources that require beam prediction, while other resources use default or reference information, reducing overall signaling overhead while maintaining prediction accuracy where needed.
Solution Approach 2:
The network entity pre-calculates and provides spatial information and signal strength predictions in the beamforming codebook before the UE needs to perform beam management operations. This allows the UE to use pre-prepared information rather than requiring extensive real-time signaling.
3Measurement precision
If the UE measures all channel resources to ensure accurate signal strength determination, then the channel state information accuracy is improved, but the measurement time and latency increase
Solution Approach 1:
The network entity performs channel measurements and determines signal strengths in advance, storing results in the beamforming codebook. When the UE needs channel state information, it can use these pre-measured values immediately without waiting to perform its own measurements, significantly reducing latency.
Solution Approach 2:
The network entity provides feedback in the form of pre-measured signal strengths and spatial information through the beamforming codebook. This feedback mechanism allows the UE to obtain accurate channel state information without performing time-consuming measurements itself.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. In some aspects, a user equipment (UE) and a network entity may support a beamforming codebook configuration according to which the network entity may include, for each codepoint of the beamforming codebook, an indication of an antenna location and spatial information associated with a channel resource corresponding to that codepoint. In some aspects, the beamforming codebook may be specific to or associated with a serving cell of the network entity and the antenna locations indicated by the beamforming codebook may be associated with locations on an antenna panel of the network entity that is associated with the serving cell. The beamforming codebook may include antenna locations and spatial information for channel resources associated with beam measurement and channel resources associated with beam prediction.