UE-Requested Beamforming Calibration for Low-Overhead Alignment
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Solution Overview
Problem
Inadequate beamforming calibration leads to misalignment of radiation patterns, resulting in reduced signal strength, degraded communication quality, increased interference, and suboptimal resource allocation, impacting network performance and user experience.
Innovation Solution
A user equipment (UE) detects trigger conditions and requests beamforming calibration updates, receiving assistance signals to update beamforming parameters, while the network node responds with signals to facilitate tailored calibration based on the UE's environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If beamforming calibration is performed using traditional network-initiated methods, then calibration coverage is maintained, but latency increases and network overhead is excessive
Solution Approach 1:
The patent inverts the traditional calibration initiation approach by enabling the UE to autonomously detect calibration needs and request calibration updates, rather than relying on network-initiated calibration. This reversal reduces network overhead and latency by performing calibration only when actually needed, based on UE-detected trigger conditions such as mobility events or signal quality degradation.
Solution Approach 2:
The UE performs self-service by autonomously monitoring its own calibration status, detecting trigger conditions that indicate calibration is needed, and requesting calibration updates from the network. This self-service approach eliminates the need for continuous network-initiated calibration, thereby reducing network overhead and latency while maintaining calibration accuracy.
2Measurement precision
If beamforming calibration is performed frequently to maintain accuracy, then radiation pattern alignment improves, but network resources are wasted and overhead increases
Solution Approach 1:
The patent implements dynamic calibration by allowing the UE to adaptively determine when calibration is needed based on real-time trigger conditions such as mobility events, signal quality changes, or beam failures. This dynamic approach ensures calibration accuracy is maintained only when necessary, avoiding wasteful consumption of network resources through unnecessary frequent calibration.
Solution Approach 2:
The system changes the calibration frequency parameter dynamically based on detected conditions rather than using a fixed schedule. When trigger conditions indicate calibration is needed, the calibration frequency increases; otherwise, it decreases, optimizing the balance between calibration accuracy and network resource consumption.
3Productivity
If beamforming calibration is delayed to reduce overhead, then network efficiency improves, but radiation pattern misalignment increases causing degraded communication quality
Solution Approach 1:
The UE continuously monitors feedback parameters such as signal quality, beam failure indicators, and mobility events to detect when calibration is needed. This feedback mechanism ensures that calibration is delayed only as long as necessary, maintaining communication quality while optimizing network efficiency by avoiding unnecessary calibration.
Solution Approach 2:
The UE performs preliminary assessment of calibration needs by monitoring trigger conditions before actually requesting calibration. This preliminary action allows the system to prepare for calibration only when necessary, maintaining communication quality while avoiding premature calibration that would waste network resources.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may store a beamforming calibration configuration including one or more beamforming parameters. The UE may detect one or more trigger conditions. The UE may transmit a beamforming calibration update request as a result of detecting the one or more trigger conditions. The UE may receive one or more beamforming assistance signals in response to the beamforming calibration update request. The UE may update at least one of the one or more beamforming parameters in the beamforming calibration configuration based, at least in part, on the one or more beamforming assistance signals. Numerous other aspects are described.