PATENT CLAIM ANALYSIS

Application Number: 16028772
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["455", "426100"]

Abstract:
The system and methods of the various embodiments enable fine grained network selection decisions. This may allow a mobile network operator, a cable operator, or a Wi-Fi network operator to define network selection rules that are not only based upon network availability, time, and location, but also on network signal strength, signal to noise ratio, link speed, and cellular network radio parameters. These rules may also be complimented with local device based policies and parameters, which may possibly be based on user preferences and/or network operator preferences. The system and methods of the various embodiments also prevent inadvertent Wi-Fi network selection decisions by incorporating a time threshold parameter which defines a time period for which a wireless device must have detected a specific Wi-Fi access point prior to performing network selection.

Claim (Index 28):
The method of  claim 21 , further comprising:\n using a machine learning technique to learn network usage patterns of the user equipment device over time; and determining priorities for a plurality of wireless communication networks based on the learned network usage patterns, wherein generating the enhanced network selection rule based on the time threshold value further comprises generating the enhanced network selection rule to include information suitable for causing the user equipment device to select one of the plurality of wireless communication networks based on its priority.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 95.0
- Lexical Diversity: 1.82278
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14604803', '13755218', '14434599', '14182959', '14156339']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6915158442633003
- 35 USC 102 Novelty (BERT): 0.56356398246774
- Combined Prediction Score: 0.6787206580837443
- Mean Citation Score: 264.482844
- Max Citation Score: 453.30496
- Similarity Product: 381.023352084732

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test