PATENT CLAIM ANALYSIS

Application Number: 16062352
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["370", "252000"]

Abstract:
In one example, a system for device throughput determination includes a monitor engine to monitor an average packet size at a node of a cellular network designated for a device and a channel quality between the device and the node of the cellular network, a classification engine to classify the device based on the monitored average packet size at the node designated for the device and the channel quality, a prediction engine to predict a throughput for the device over a quantity of future transmission time intervals (TTI) based on the classification of the device and a number of resources requested by the device over a period of time.

Claim (Index 8):
A non-transitory computer readable medium storing instructions executable by a processor for device throughput determination, wherein the instructions are executable to:\n assign a classification to each of a plurality of devices communicating with a node of a cellular network based on a quantity of resources demanded by each of the plurality of devices communicating with the node; determine a sub-frame share for each of the plurality of devices communicating with the node of the cellular network based on the classification assigned to each of the plurality of devices; and calculate a predicted throughput for each of the plurality of devices based on a product of the sub-frame share and an average size of application packets arriving at the node for each of the plurality of devices.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 94.0
- Lexical Diversity: 2.2549
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13646547', '14314893', '13753964', '14293165', '15317659']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5329168439518102
- 35 USC 102 Novelty (BERT): 0.4775491570392361
- Combined Prediction Score: 0.5273800752605527
- Mean Citation Score: 114.66837920000002
- Max Citation Score: 121.60328
- Similarity Product: 78.53253550626278

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