PATENT CLAIM ANALYSIS

Application Number: 16009966
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["455", "446000"]

Abstract:
A solution how to calculate locations scores that depict the quality of specific locations as an installation point of an access point is disclosed. To calculate a location score a network planning area is divided into location topology cells, and in each location topology cell a plurality of predefined metrics that take into account environment are calculated. Then the metrics are converted into metric scores, and from the metric scores a location score for a location topology cell is calculated. Further, a solution in which final positions of access points are determined in a two-step procedure is disclosed. Firstly, initial positions are determined based on received planning information. Then final positions are determined starting from the initial positions and using both planning information and location scores.

Claim (Index 5):
A computer implemented method comprising:\n receiving planning information comprising at least information on outer boundaries of a planning area, access points and location scores with corresponding location cells within the planning area; determining initial positions of access points; calculating a weighted location score for each location cell per an access point position, a weighted location score being obtained using a distance from the position to the location cell and corresponding location score; selecting for each position a new position based on the weighted location scores; and using the new positions as final positions for access points.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 2.02985
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15806265', '15166207', '15606555', '12724746', '11493027']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6548799934103446
- 35 USC 102 Novelty (BERT): 0.4707960234864351
- Combined Prediction Score: 0.6364715964179537
- Mean Citation Score: 122.821529
- Max Citation Score: 128.41904
- Similarity Product: 88.28228033221245

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

Dataset: test