PATENT CLAIM ANALYSIS

Application Number: 16242859
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["455", "424000"]

Abstract:
A method for mobile network testing is described wherein at least one testing device is used that is configured to be connected to a mobile network. A predefined set of test procedures is run on the at least one testing device in order to obtain test results assigned to at least one test parameter. The test results of the test procedures are evaluated via a machine learning model. The machine learning model is trained to predict output parameters assigned to the quality of a service based on the test results obtained. Further, a test system, a method for mobile network testing as well as a prediction system are described.

Claim (Index 15):
A test system for mobile network testing, comprising at least one testing device and a processing unit configured to run a machine learning model to be trained, wherein the processing unit is configured to receive test results of a set of test procedures run on the at least one testing device and to evaluate the test results via the machine learning model, and wherein the processing unit is configured to train the machine learning model to predict output parameters assigned to the quality of a service based on the test results obtained.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 99.0
- Lexical Diversity: 2.07143
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14672749', '11304209', '14112311', '14569150', '15263654']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.674573317592284
- 35 USC 102 Novelty (BERT): 0.4859851422185994
- Combined Prediction Score: 0.6557145000549155
- Mean Citation Score: 192.61195
- Max Citation Score: 200.97212
- Similarity Product: 142.20630238147018

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test