PATENT CLAIM ANALYSIS

Application Number: 15759931
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["370", "235000"]

Abstract:
A method ( 100 ) for managing a wireless network, comprising: collecting ( 105 ) a sequence of traffic data samples ordered in time, and arranging said collected data samples in at least one level-0 residual matrix having at least one dimension, said dimension of said level-0 residual matrix corresponding to a respective time scale comprising an ordered sequence of time units, said ordered sequences of time units defining a first time window; performing at least once a cycle, each n-th iteration of the cycle, starting from n=0, comprising a sequence of phases A), B), C), D), E): A) for at least one dimension of a level-(n) residual matrix, sub-dividing ( 110 ) the corresponding time scale in such a way to group the time units thereof in a respective level-(n+1) partition of time units so as to subdivide the traffic data samples in corresponding level-(n+1) traffic data sample sets; B) for each level-(n+1) traffic data sample set, calculating ( 115 ) a corresponding functional which fits said level-(n+1) traffic data sample set; C) for each level-(n+ 1 ) traffic data sample set, calculating ( 115 ) a corresponding approximation of the level-(n+1) traffic data sample set by applying the corresponding functional to the corresponding level-(n+1) partition of time units; D) joining together ( 115 ) the approximations of the level-(n+1) traffic data sample sets to calculate a level-(n+1) approximated matrix, said level-(n+1) approximated matrix being an approximated version of the level-(n) residual matrix; E) calculating ( 120 ) the difference between the level-(n) residual matrix and the calculated level-(n+1) approximated matrix so as to obtain a level-(n+1) residual matrix; forecasting ( 130 ) traffic data trend in a second time window different from the first time window by generating predicted data samples by applying the calculated functional to a partition of time units comprising an ordered sequence of time units corresponding to at least one among said second time window and said first time window; using ( 140 ) said forecasted traffic data trend to manage the wireless network.

Claim (Index 4):
The method of  claim 1 , wherein said calculating a functional which fits a level-(n+1) traffic data sample set comprises interpolating the traffic data samples of said level-(n+1) traffic data sample set.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 90.0
- Lexical Diversity: 3.74107
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10458475', '12451757', '13346468', '14569126', '14773161']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4684441513464852
- 35 USC 102 Novelty (BERT): 0.5037336470263059
- Combined Prediction Score: 0.4719731009144673
- Mean Citation Score: 140.42639
- Max Citation Score: 152.41333
- Similarity Product: 87.64135125730336

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

Dataset: test