PATENT CLAIM ANALYSIS

Application Number: 15761452
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["370", "235000"]

Abstract:
There is provided mechanisms for load balancing data traffic between at least two carriers in a communications network supporting the at least two carriers. A method is performed by a system. The method comprises obtaining current channel quality information for a wireless device of the at least two carriers. The method comprises predicting a future volume of a data flow of the wireless device. The method comprises determining whether to offload the wireless device to a second carrier of the at least two carriers or not according to the current channel quality information and the predicted future volume

Claim (Index 28):
A computer program product for load balancing data traffic between at least two carriers in a communications network supporting the at least two carriers, the computer program product comprising a computer program and a computer readable storage medium on which the computer program is stored, the computer program comprising computer code which, when run on processing circuitry of a system, causes the system to:\n perform machine learning on a set of traffic flow properties and values thereof for a plurality of wireless devices and associated observed data flows of the wireless devices in order to determine at least two data flow classes; obtain current channel quality information for a wireless device of the at least two carriers; predict a future volume of a data flow of the wireless device, wherein the prediction involves classification of the data flow of the wireless device into one of the at least two data flow classes; and determine whether to offload the wireless device to a second carrier of the at least two carriers or not according to the current channel quality information and the predicted future volume according to the data flow class in which the data flow has been classified.

Metadata:
- Claim Count in Document: 55.0
- Percentile: 90.0
- Lexical Diversity: 2.0
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15246002', '13046832', '13038624', '13517255', '11419213']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5059386812401532
- 35 USC 102 Novelty (BERT): 0.4722578297160223
- Combined Prediction Score: 0.5025705960877401
- Mean Citation Score: 131.82842
- Max Citation Score: 138.82933
- Similarity Product: 95.02928581283926

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