Beam-Specific Motion State Detection in Wireless Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing motion detection systems in wireless networks face challenges in accurately determining and reporting motion state metrics, particularly in the presence of beamforming, where variations in motion measurements occur due to differences in transmit and receive beams, leading to inconsistencies in phase and timing of reflected signals.
Innovation Solution
A method and device configuration that involve obtaining reflections of radar reference signals transmitted along specific beams, determining motion state metrics based on these reflections, and reporting them to a network entity, which associates these metrics with the respective beams to accurately determine the motion state of user equipment, including position, speed, and velocity, using beam-specific information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If beamforming is used to transmit and receive RF signals, then the directionality and coverage of the wireless network is improved, but variations in motion measurements occur due to differences in transmit and receive beams
Solution Approach 1:
The patent segments the motion detection process by beam, where each beam independently measures motion state metrics. The network entity receives multiple motion state reports corresponding to different beams and processes them separately, allowing each beam to maintain its measurement characteristics while collectively providing comprehensive motion detection coverage.
Solution Approach 2:
The patent applies local quality by associating motion state metrics with specific beam orientations. Each beam's motion measurement is treated as a local observation with its own characteristics, and the network entity integrates these localized measurements to form a complete picture of the UE's motion state, accounting for the directional nature of each beam.
2Measurement precision
If motion state metrics are determined based on beam-specific reflections, then the accuracy of motion detection is improved, but the complexity of the system increases due to multiple beams and reporting configurations
Solution Approach 1:
The patent makes the motion state detection mechanism universal by designing a reporting framework that works across multiple beams with different configurations. The same basic reporting structure and metric determination process is applied to each beam, allowing the system to handle beam-specific variations through a unified multi-functional approach rather than requiring separate mechanisms for each beam.
Solution Approach 2:
The patent manages complexity by changing parameters in a controlled manner - specifically by associating motion state metrics with beam identifiers and using configurable reporting patterns. This allows the system to adapt to different beam configurations without fundamentally changing the core detection mechanism, managing complexity through parameterization rather than structural complexity.
3Reliability
If multiple motion state reports are received from different beams, then the comprehensiveness of motion detection is improved, but the processing load and time required to determine motion state increases
Solution Approach 1:
The patent applies preliminary action by having the network entity pre-configure beam-specific reporting patterns and associations before motion detection begins. By establishing the framework for handling multiple beam reports in advance, including which metrics to measure and how to associate them with specific beams, the system reduces the processing burden during actual motion detection operations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy and consistency of motion state detection and reporting, mitigating variations caused by beamforming, thereby improving the overall precision of motion state determination and utilization in applications like navigation and asset tracking.
Implementation Method 1
RAdio Detection And Ranging (RADAR, also referred to as Radar or radar) systems may be used to determine a motion state of a device based on radio frequency (RF) signals reflected by the device
Implementation Method 2
the RF signals are reflected by the UE, and the base station may receive the reflected signals
Implementation Method 3
A base station or other device configured for beam forming transmits RF signals along transmit beams and receives RF signals along receive beams
Data Source
AI summary
Motion detection services are performed in a wireless network (e.g., a cellular network) with reference to beamforming. Reference signals or other resources for motion detection based on RAdio Detection And Ranging (RADAR) are transmitted over one or more transmit beams or received over one or more receive beams. Any motion measured from reflections of the signals may be associated with one or more of the transmit or receive beams. A device configured to receive the reflections determines one or more motion measurements associated with one or more beams, and determines one or more motion state metrics associated with the one or more beams. The one or more motion state metrics are included in one or more motion state reports to a network entity (e.g., a radar server), which may be used for various operations in the wireless network.