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 11):
The computer implemented method of  claim 5 , wherein the determining initial positions of access points comprises, when received information on the access points is rough positions of the access points:\n performing a spatial clustering algorithm to the planning area to determine voronoi cells, the spatial clustering algorithm using the rough positions as seeds; and determining the initial positions to be the centroids of the voronoi cells.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 2.02985
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15806265', '15166207', '15606555', '12724746', '11493027']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.673752936385882
- 35 USC 102 Novelty (BERT): 0.5044554810741853
- Combined Prediction Score: 0.6568231908547123
- Mean Citation Score: 122.821529
- Max Citation Score: 128.41904
- Similarity Product: 66.96959442447664

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