PATENT CLAIM ANALYSIS

Application Number: 16516209
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["455", "067110"]

Abstract:
Described is a method for performance estimation of a communication device. The method comprises: executing active probing to determine active probing data; reading operational data which includes data related to channel and its noise condition, latency and counter values related to user data traffic between the communication device and another communication device, wherein the operational data is relevant to the current settings of the communication device; and training a performance estimation algorithm for the communication device according to the active probing data and the operational data.

Claim (Index 3):
The method of  claim 1 , wherein training the performance estimation processor comprises:\n updating the performance estimation processor as a function of one or more criteria which includes at least one of: time of day, time of week, type of communication device, manufacturer and model of equipment, equipment characteristics, firmware, backbone limitations, user's network usage pattern, RF characteristics including at least one of: signal power, path loss, noise level, frequency bands or mode of operation, environment statistics, or data on operation of communication devices adjacent to the communication device, wherein the data includes at least one of interference channels and levels.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.97872
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14414435', '14414437', '14763486', '15471779', '14434073']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6770793223440428
- 35 USC 102 Novelty (BERT): 0.4643881572631128
- Combined Prediction Score: 0.6558102058359497
- Mean Citation Score: 148.27217199999996
- Max Citation Score: 220.5162
- Similarity Product: 213.3239445264101

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

Dataset: test