17931650. POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS simplified abstract (QUALCOMM Incorporated)
Contents
- 1 POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS
Organization Name
Inventor(s)
Mohammed Ali Mohammed Hirzallah of San Diego CA (US)
Xiaoxia Zhang of San Diego CA (US)
Marwen Zorgui of San Diego CA (US)
Srinivas Yerramalli of San Diego CA (US)
POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17931650 titled 'POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS
Simplified Explanation
The patent application describes a method for training a positioning model using radio frequency fingerprint positioning (RFFP) measurements associated with known positioning parameters and transmission point configurations to estimate the location of a user equipment (UE).
- Obtaining a plurality of RFFP measurements associated with known positioning parameters and transmission point configurations.
- Training a positioning model based on the RFFP measurements, known positioning parameters, and transmission point configurations to estimate the location of the UE.
Potential Applications
This technology could be applied in:
- Indoor navigation systems
- Asset tracking in warehouses
- Location-based services in smart cities
Problems Solved
This technology helps in:
- Improving accuracy in indoor positioning
- Enhancing user experience in location-based services
Benefits
The benefits of this technology include:
- Precise location estimation
- Efficient use of radio frequency data
- Enhanced performance of positioning models
Potential Commercial Applications
A potential commercial application of this technology could be:
- Integration into mobile applications for location-based advertising
Possible Prior Art
One possible prior art for this technology could be:
- Research on fingerprint-based indoor positioning systems using radio frequency data
Unanswered Questions
1. How does this technology handle interference in radio frequency data for accurate positioning? 2. What are the limitations of this method in terms of scalability for large-scale indoor environments?
Original Abstract Submitted
In an aspect, a method performed by a network node includes obtaining a plurality of radio frequency fingerprint positioning (RFFP) measurements associated with known positioning parameters associated with a known location of a user equipment (UE), wherein each RFFP measurement of the plurality of RFFP measurements is further associated with a transmission point configuration of a plurality of transmission point configurations; and training a positioning model to provide an estimate of one or more positioning parameters associated with a location of the UE, wherein the training of the positioning model is based on the plurality of RFFP measurements, known positioning parameters associated with the known location, and the plurality of transmission point configurations.
