Adaptive Beam Sweep Control for Wireless Signal Measurement
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Solution Overview
Problem
Conventional signal measurement techniques in wireless devices with analog beam sweeping capabilities are inefficient, as they struggle to simultaneously receive signals from multiple directions, leading to prolonged cell identification and radio link management delays in NR systems, which can result in poor performance compared to LTE systems.
Innovation Solution
Wireless devices and network nodes communicate to adjust the number of receiver beam sweeps based on signal quality and operational conditions, allowing for adaptive measurement procedures that optimize measurement times and resource usage, enabling efficient cell detection and handover processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional signal measurement techniques are used in wireless devices with analog beam sweeping capabilities, then the device can perform signal measurements, but the measurement efficiency is poor and cell identification delays occur
Solution Approach 1:
The patent implements dynamic adaptation of beam sweeping parameters based on signal quality conditions. The wireless device adjusts the number of beam sweeps and measurement configurations in real-time according to measured signal quality, transitioning between different measurement modes (full beam sweeping vs. selective beam measurement) to optimize both measurement efficiency and accuracy, thereby resolving the contradiction between measurement productivity and time loss.
Solution Approach 2:
The patent changes measurement parameters (number of beam sweeps, measurement frequency, resource allocation) based on signal quality thresholds. When signal quality is good, fewer beam sweeps are performed; when signal quality degrades, more comprehensive beam sweeping is executed. This parameter adaptation directly improves measurement efficiency while minimizing unnecessary time consumption, addressing the technical contradiction.
2Measurement precision
If the wireless device performs comprehensive beam sweeping to ensure accurate signal measurements, then measurement accuracy is improved, but resource consumption increases
Solution Approach 1:
The patent applies partial beam sweeping by selecting only the most relevant beams for measurement based on prior signal quality assessments and beam management information. Instead of performing exhaustive beam sweeping across all possible directions, the device focuses measurements on promising beams identified through previous communications or rapid scanning, thereby maintaining measurement accuracy while significantly reducing energy consumption.
Solution Approach 2:
The patent dynamically adjusts the scope and intensity of beam sweeping based on current communication conditions. When signal quality is stable and known good beams are identified, the device reduces beam sweeping activity. When conditions deteriorate or change, the device intensifies beam sweeping to re-establish accurate signal measurements. This dynamic approach balances measurement precision requirements with energy conservation.
3Measurement precision
If the wireless device performs frequent signal measurements to maintain accurate mobility information, then mobility management accuracy is improved, but processing overhead increases
Solution Approach 1:
The patent implements periodic signal measurements with variable intervals based on mobility state and signal conditions. Instead of continuous or uniformly frequent measurements, the device performs measurements at strategically determined intervals - more frequently when mobility is detected or signal quality changes, and less frequently when the device is stationary or conditions are stable. This periodic approach maintains mobility management accuracy while reducing processing overhead from unnecessary measurements.
Solution Approach 2:
The patent dynamically adjusts measurement frequency and processing intensity based on detected mobility patterns and signal quality trends. When the device detects movement or significant signal changes, it increases measurement frequency and processing activity. When conditions are stable, it reduces measurement frequency and processing load. This dynamic adaptation maintains accurate mobility information while minimizing processing overhead.
Data Source
AI summary
Methods and apparatus for controlling signal measurements in a wireless device with receiver beamforming capability. In an embodiment, the method is performed by a wireless device and includes providing a first indication to a radio node of how the wireless device performs or will perform receiver beamforming, and performing receiver beamforming as part of a signal measurement procedure in accordance with the first indication of how the wireless device performs or will perform receiver beamforming.