Mobile Device Mobility Detection Using RSSI and Frequency Offset
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Solution Overview
Problem
Conventional methods for detecting the mobility of mobile devices are inadequate in accurately estimating physical velocity and motion, particularly in improving handoffs between base stations in cellular networks.
Innovation Solution
The method involves obtaining measurements of Relative Signal Strength Indications (RSSI) and Frequency Offset (FO) to derive a mobility parameter, which is used to detect the speed of the mobile device and potentially reconfigure its operating state, by correlating statistical parameters of RSSI and FO distributions with additional data from GPS or accelerometer systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used for detecting mobility of mobile devices, then the detection process is simple, but the accuracy of physical velocity and motion estimation is insufficient
Solution Approach 1:
The patent combines multiple measurement techniques (RSSI-based mobility detection, FO-based velocity estimation, GPS positioning, and accelerometer data) into a unified mobility detection system. By merging these different measurement approaches, the system achieves high-accuracy mobility detection that overcomes the limitations of any single method while maintaining manageable system complexity through integrated processing.
2Measurement precision
If multiple measurement techniques are combined to improve mobility detection accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent creates a multi-functional mobility detection system that uses a single integrated framework to perform multiple measurement tasks. The system simultaneously executes RSSI measurements, FO measurements, GPS positioning, and accelerometer data processing within one unified architecture, allowing each component to serve multiple purposes and reducing overall system complexity despite the variety of measurement techniques employed.
Solution Approach 2:
The patent introduces an intermediary processing layer that coordinates between different measurement techniques (RSSI, FO, GPS, accelerometer). This intermediary component harmonizes the data from various sources, manages the complexity of integrating multiple measurement methods, and produces unified mobility detection results, thereby improving measurement precision while controlling system complexity.
3Productivity
If mobility detection accuracy is improved through multiple parameters, then operational efficiency improves, but processing requirements increase
Solution Approach 1:
The patent implements partial action by selectively applying different measurement techniques based on operational needs. The system can use lightweight RSSI-based detection for basic mobility monitoring and activate more resource-intensive methods (GPS, accelerometer) only when higher precision is required, thereby improving operational efficiency while managing processing power consumption through conditional execution of measurement functions.
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
This approach enhances the accuracy of mobility detection and allows for dynamic reconfiguration of mobile device features based on mobility parameters, improving operational efficiency and user safety by enabling features like hands-free operation and disabling distracting communications while driving.
Implementation Method 1
obtaining one or more measurements of Frequency Offset (FO)... obtaining a mobility parameter indicative of the mobility of said mobile device, the mobility parameter based at least partly on said measurements of RSSI and FO
Implementation Method 2
obtaining one or more measurements of Relative Signal Strength Indications (RSSI)... obtaining a mobility parameter indicative of the mobility of said mobile device, the mobility parameter based at least partly on said measurements of RSSI and FO
Data Source
AI summary
The disclosure is directed to a method, computer program product, or a mobile device configured for obtaining a mobility parameter indicative of a mobility of the mobile device. The mobility parameter may be further utilized to configure the operating state of the mobile device. The mobility parameter is obtained using a multi-sense approach, which utilizes both Received Signal Strength Indicator (RSSI) and Frequency Offset (FO) measurements. The mobility parameter is based on statistical parameters relating to the distributions of the RSSI and FO measurements. Various configurations of computer program products, mobile devices and systems are also described.