18466088. POSITIONING MODEL PERFORMANCE MONITORING simplified abstract (QUALCOMM Incorporated)
Contents
- 1 POSITIONING MODEL PERFORMANCE MONITORING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 POSITIONING MODEL PERFORMANCE MONITORING - 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 PERFORMANCE MONITORING
Organization Name
Inventor(s)
Srinivas Yerramalli of San Diego CA (US)
Mohammed Ali Mohammed Hirzallah of San Diego CA (US)
Taesang Yoo of San Diego CA (US)
Jay Kumar Sundararajan of San Diego CA (US)
POSITIONING MODEL PERFORMANCE MONITORING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18466088 titled 'POSITIONING MODEL PERFORMANCE MONITORING
Simplified Explanation
The present disclosure relates to wireless communication and involves an apparatus obtaining training measurement information and a training position value associated with a user equipment (UE) for training a model using machine learning techniques to output location information based on measurement information.
- The apparatus obtains training measurement information and a training position value associated with a UE.
- The apparatus provides the training position value and training measurement information for training a model using machine learning techniques.
- The model is trained to output location information based on measurement information.
Potential Applications
This technology could be applied in:
- Indoor navigation systems
- Location-based services
- Asset tracking
Problems Solved
- Improving location accuracy in wireless communication
- Enhancing user experience in location-based services
Benefits
- Increased precision in determining user location
- Better performance of location-based applications
Potential Commercial Applications
Optimized for:
- Mobile network operators
- Internet of Things (IoT) companies
- Location-based service providers
Possible Prior Art
One possible prior art could be the use of machine learning techniques in wireless communication for improving location accuracy.
Unanswered Questions
The article does not address how the apparatus ensures the privacy and security of the location information obtained from the UE.
What are the potential limitations of using machine learning techniques for location information output?
The article does not discuss any potential drawbacks or limitations of using machine learning techniques for determining location information.
Original Abstract Submitted
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an apparatus may obtain a set of training measurement information associated with a user equipment (UE). The apparatus may obtain a training position value associated with the UE. The apparatus may provide the training position value and the set of training measurement information for training of a model using a machine learning (ML) technique, the model being trained to output location information based at least in part on measurement information. Numerous other aspects are described.
