Dynamic PRS Bandwidth Adjustment for Wireless Positioning
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Solution Overview
Problem
Conventional wireless positioning systems face challenges in dynamically adjusting bandwidth for positioning reference signals (PRS) in response to environmental conditions, leading to inefficiencies in positioning accuracy and spectral efficiency.
Innovation Solution
A method where a user equipment (UE) indicates environmental conditions to a network entity, allowing for dynamic adjustment of PRS bandwidth, and calculates statistics of time-angle metrics based on received signals, which are then reported to improve positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional wireless positioning systems use fixed bandwidth for positioning reference signals, then device complexity is reduced, but positioning accuracy deteriorates in dynamic environmental conditions
Solution Approach 1:
The patent implements dynamic bandwidth adjustment for positioning reference signals based on environmental conditions. The system transitions from fixed bandwidth to adaptive bandwidth allocation, where the bandwidth is adjusted according to channel characteristics, signal quality metrics, and positioning accuracy requirements. This dynamic approach resolves the contradiction by allowing the system to optimize positioning accuracy while managing complexity through structured adjustment criteria.
Solution Approach 2:
The patent changes the bandwidth parameter of positioning reference signals based on measured environmental conditions and positioning performance metrics. By adjusting this key parameter dynamically, the system improves positioning accuracy in varying conditions while maintaining manageable complexity through systematic parameter adaptation rather than complete system redesign.
2Measurement precision
If bandwidth for positioning reference signals is increased to improve positioning accuracy, then measurement precision improves, but spectral efficiency deteriorates
Solution Approach 1:
The patent implements dynamic bandwidth adjustment that adapts to environmental conditions and positioning requirements. Instead of using consistently high bandwidth, the system adjusts bandwidth levels based on actual needs, thereby improving positioning accuracy only when necessary while maintaining spectral efficiency during conditions where lower bandwidth suffices. This resolves the contradiction by making bandwidth allocation conditional and adaptive rather than static and excessive.
Solution Approach 2:
The patent dynamically changes the bandwidth parameter of positioning reference signals based on measured channel conditions, signal quality, and positioning accuracy requirements. This parameter adaptation allows the system to achieve high positioning accuracy when environmental conditions warrant increased bandwidth while conserving spectral resources when lower bandwidth is adequate, thus resolving the trade-off between measurement precision and spectral efficiency.
3Quantity of substance
If bandwidth for positioning reference signals is decreased to improve spectral efficiency, then spectral efficiency improves, but positioning accuracy deteriorates
Solution Approach 1:
The patent implements dynamic bandwidth adjustment that responds to environmental conditions and positioning performance metrics. The system transitions from static low bandwidth allocation to adaptive bandwidth management, where bandwidth is increased when positioning accuracy requirements or channel conditions warrant it, and decreased when spectral efficiency is the priority. This dynamic approach resolves the contradiction by allowing conditional optimization of both spectral efficiency and positioning accuracy.
Solution Approach 2:
The patent dynamically adjusts the bandwidth parameter of positioning reference signals based on measured channel characteristics, signal quality metrics, and positioning accuracy requirements. This parameter adaptation enables the system to achieve high spectral efficiency under conditions where lower bandwidth is sufficient, while automatically increasing bandwidth when positioning accuracy becomes the priority, thus resolving the trade-off between these two performance metrics.
4Measurement precision
If time-angle metrics are not combined, then device complexity is reduced, but positioning accuracy deteriorates
Solution Approach 1:
The patent combines time-based metrics (such as time of arrival, time difference of arrival) and angle-based metrics (such as angle of arrival, direction of arrival) into a unified positioning estimation framework. By merging these complementary measurement types, the system achieves improved positioning accuracy that leverages the strengths of both temporal and spatial information, resolving the contradiction between combined metric processing and individual metric simplicity.
Solution Approach 2:
The patent implements a unified positioning framework that processes multiple types of metrics (time-based and angle-based) through a common estimation algorithm. This multi-functional approach allows the same processing infrastructure to handle diverse measurement types, improving positioning accuracy through comprehensive metric utilization while managing complexity through standardized processing procedures rather than separate specialized systems.
Data Source
AI summary
Disclosed are various techniques for wireless positioning. In an aspect, a base station calculates statistics of one or more time-angle metrics based on a signal received from a user equipment, and reports the statistics to a network entity, such as a location server, which uses the statistics to estimate a position of the UE. In some aspects, the network entity receives statistics from multiple base stations, which allows the network entity to more accurately determine the position of the UE. In some aspects, the base station reports the statistics to a network entity according to a statistics reporting configuration, which the network entity may provide to the base station.