PATENT CLAIM ANALYSIS

Application Number: 16239514
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["455", "456200"]

Abstract:
Determining a location quality based on base station identification is disclosed. The location quality can be based on an error attributed to a location determined based on historical data related to an identified base station. Application of supplemental data to the historical base station data can improve location quality by reducing the error. Supplemental data can comprise Voronoi data, geographic data, historical UE density data, historical UE timing advance data, or combinations thereof. Voronoi data can be associated with an area less than a service area of the base station. Geographic data can indicate areas where UEs are not likely to be located. UE density data can indicate probably UE locations. Timing advance data can indicate annular regions where a UE should be located. As such, the supplemental data can constrain a location determined for a UE and correspondingly can reduce error associated with the location.

Claim (Index 14):
The method of  claim 12 , wherein the exclusion area data is determined not to provide wireless service to at least the threshold number of user equipments based on historical user equipment density data corresponding to the Voronoi cell.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 99.0
- Lexical Diversity: 2.25352
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15923809', '15372316', '15989143', '15221568', '16119756']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6856115954085079
- 35 USC 102 Novelty (BERT): 0.5603311513666089
- Combined Prediction Score: 0.673083551004318
- Mean Citation Score: 270.31364399999995
- Max Citation Score: 439.18253
- Similarity Product: 310.232691639725

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

Dataset: test