17821626. USER EQUIPMENT-BASED (UE-BASED) POSITIONING BASED ON SELF-RADIO FREQUENCY FINGERPRINT (SELF-RFFP) simplified abstract (QUALCOMM Incorporated)
Contents
- 1 USER EQUIPMENT-BASED (UE-BASED) POSITIONING BASED ON SELF-RADIO FREQUENCY FINGERPRINT (SELF-RFFP)
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 USER EQUIPMENT-BASED (UE-BASED) POSITIONING BASED ON SELF-RADIO FREQUENCY FINGERPRINT (SELF-RFFP) - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
USER EQUIPMENT-BASED (UE-BASED) POSITIONING BASED ON SELF-RADIO FREQUENCY FINGERPRINT (SELF-RFFP)
Organization Name
Inventor(s)
Mohammed Ali Mohammed Hirzallah of San Diego CA (US)
Marwen Zorgui of San Diego CA (US)
Srinivas Yerramalli of San Diego CA (US)
USER EQUIPMENT-BASED (UE-BASED) POSITIONING BASED ON SELF-RADIO FREQUENCY FINGERPRINT (SELF-RFFP) - A simplified explanation of the abstract
This abstract first appeared for US patent application 17821626 titled 'USER EQUIPMENT-BASED (UE-BASED) POSITIONING BASED ON SELF-RADIO FREQUENCY FINGERPRINT (SELF-RFFP)
Simplified Explanation
In an aspect, a UE may transmit one or more reference signals. The UE may obtain one or more self-radio frequency fingerprint (self-RFFP) measurements based on reflections of the one or more reference signals transmitted by the UE. The UE may determine a location of the UE based on applying a machine learning model to the one or more self-RFFP measurements.
- The patent application involves a method for determining the location of a User Equipment (UE) by analyzing self-radio frequency fingerprint measurements.
- The UE transmits reference signals and collects self-RFFP measurements based on reflections of these signals.
- A machine learning model is applied to the self-RFFP measurements to determine the location of the UE accurately.
Potential Applications
- Location-based services for mobile devices
- Indoor navigation systems
- Asset tracking in industrial environments
Problems Solved
- Improving location accuracy in indoor environments
- Enhancing user experience with location-based services
- Optimizing asset management and tracking processes
Benefits
- Increased precision in determining UE location
- Enhanced performance of location-based applications
- Improved efficiency in asset tracking and management
Original Abstract Submitted
In an aspect, a UE may transmit one or more reference signals. The UE may obtain one or more self-radio frequency fingerprint (self-RFFP) measurements based on reflections of the one or more reference signals transmitted by the UE. The UE may determine a location of the UE based on applying a machine learning model to the one or more self-RFFP measurements.
