Qualcomm incorporated (20240340136). COLLECTING DATA FOR TRAINING A WIRELESS DEVICE POSITIONING MODEL simplified abstract
Contents
COLLECTING DATA FOR TRAINING A WIRELESS DEVICE POSITIONING MODEL
Organization Name
Inventor(s)
Mohammed Ali Mohammed Hirzallah of San Diego CA (US)
Srinivas Yerramalli of San Diego CA (US)
Taesang Yoo of San Diego CA (US)
COLLECTING DATA FOR TRAINING A WIRELESS DEVICE POSITIONING MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240340136 titled 'COLLECTING DATA FOR TRAINING A WIRELESS DEVICE POSITIONING MODEL
The abstract describes a wireless device that receives positioning reference signals (PRSS), measures them, and outputs measurements, labels, or assistance information for training a positioning model. The device can transmit measurements to a network entity, include the positioning model, and train it based on the data received. The wireless device can be a User Equipment (UE) or a Positioning Reference Unit (PRU), while the network entity can be a Location Management Function (LMF).
- Wireless device receives PRSS and measures them
- Outputs measurements, labels, or assistance information for training a positioning model
- Can transmit measurements to a network entity
- Includes and trains a positioning model based on the data received
- Wireless device can be a UE or PRU, network entity can be an LMF
Potential Applications: - Enhanced positioning accuracy for mobile devices - Improved location-based services - Efficient network management based on accurate positioning data
Problems Solved: - Inaccurate positioning data - Lack of training data for positioning models - Limited network efficiency due to poor location information
Benefits: - Enhanced user experience with precise location services - Optimized network performance with accurate positioning data - Improved overall efficiency in wireless communication systems
Commercial Applications: Title: "Enhancing Location Accuracy in Wireless Devices" This technology can be utilized in: - Mobile device navigation systems - Emergency services for accurate location tracking - Asset tracking in logistics and transportation industries
Prior Art: Research on wireless positioning systems and training models for location accuracy can provide insights into similar technologies.
Frequently Updated Research: Stay updated on advancements in wireless positioning technologies, machine learning models for location data, and network optimization based on accurate positioning information.
Questions about Wireless Positioning Technology: 1. How does this technology improve the accuracy of location-based services? 2. What are the key differences between a User Equipment (UE) and a Positioning Reference Unit (PRU) in this context?
Original Abstract Submitted
a wireless device may receive a set of positioning reference signals (prss). the wireless device may measure the set of prss. the wireless device may output at least one of a set of measurements based on the measured set of prss, a set of labels associated with the measured set of prss, or assistance information associated with the measured set of prss for training a positioning model. in one aspect, the wireless device may transmit, to a network entity, the set of measurements for the positioning model. in another aspect, the wireless device may include the positioning model. the wireless device may train the positioning model based on at least one of the set of measurements, the set of labels, or the assistance information. the wireless device may include a user equipment (ue) or a positioning reference unit (pru). the network entity may include a location management function (lmf).
