PATENT CLAIM ANALYSIS

Application Number: 15956121
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["398", "057000"]

Abstract:
A multi-layer network planning system can determine a set of regenerator sites (“RSs”) that have been found to cover all paths among a set of nodes of an optical layer of a multi-layer network and can determine a set of candidate RSs in the optical layer for use by the links between a set of nodes of an upper layer, wherein each RS can be selected as a candidate RS for the links. The system can determine a binary path matrix for the links between the set of nodes of the upper layer. The system can determine a min-cost matrix that includes a plurality of min-cost paths. The system can determine a best RS from the set of candidate RSs and can move the best RS from the set of candidate RSs into the set of RSs for the links. The system can then update the binary path matrix.

Claim (Index 18):
The computer-readable storage medium of  claim 16 , wherein determining the best regenerator site from the set of candidate regenerator sites comprises:\n counting source-destination node pairs that get a valid path as a result of placing a regenerator at a specific node of the second set of nodes; and considering the specific node to be the best regenerator site from the set of candidate regenerator sites.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 91.0
- Lexical Diversity: 2.60656
- Patent Class: 398.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12045933', '12214591', '09909265', '14457201', '13119520']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6738795689951588
- 35 USC 102 Novelty (BERT): 0.5318480947894517
- Combined Prediction Score: 0.6596764215745882
- Mean Citation Score: 244.949484
- Max Citation Score: 256.1646
- Similarity Product: 167.78579021587373

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

Dataset: test