PATENT CLAIM ANALYSIS

Application Number: 16356533
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-09
Patent Classification: ["455", "456500"]

Abstract:
A computer system determines location probabilities for defined sub-areas ( 41, 43 ) of a geographical area ( 4 ), e.g. for squares arranged in a grid ( 40 ), based on field strengths expected in the small sub-areas ( 41, 43 ) from the antennas (A 1 , A 2  A 3 , A 4 ), and based on the antenna used by the mobile communication terminal. The location probabilities indicate for a sub-area ( 41, 43 ) the probability that the mobile communication terminal is located in the respective sub-area ( 41, 43 ). The computer system determines at least one ellipse defining the location area, based on the location probabilities of the sub-areas ( 41, 43 ). The location probabilities make it possible to determine elliptical location areas of mobile users much smaller than the area each antenna does cover physically, but without the need for measuring at the mobile communication terminal signal properties such as signal strength or observed time differences.

Claim (Index 14):
A method, comprising:\n determining antenna probabilities for a plurality of antennas in an area covered by a mobile radio network; and determining a location area for a user using a mobile communication terminal operating in the mobile radio network based on the antenna probabilities.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 99.0
- Lexical Diversity: 2.10465
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12254452', '14023001', '15692864', '14887620', '12254355']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6771000863762199
- 35 USC 102 Novelty (BERT): 0.5097309242303173
- Combined Prediction Score: 0.6603631701616296
- Mean Citation Score: 268.624828
- Max Citation Score: 306.91815
- Similarity Product: 287.17083641444754

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

Dataset: test