PATENT CLAIM ANALYSIS

Application Number: 15888903
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["725", "116000"]

Abstract:
An Adaptive Bitrate (ABR) Quality of Experience (QoE) Management Unit manages bandwidth usage and QoE at a customer premises where multiple client devices independently download content from multiple providers. An overall virtual pipe to the premises includes a Hypertext Transfer Protocol (HTTP) inner pipe, a non-HTTP inner pipe, an ABR inner pipe, and a non-ABR inner pipe. The Unit determines a data cap for a current billing cycle; and determines, based on policy management settings and the data cap for the current billing cycle, at least one of: a bandwidth cap for the overall virtual pipe, a bandwidth cap for the HTTP inner pipe, a bandwidth cap for the non-HTTP inner pipe, a bandwidth cap for the ABR inner pipe, and a bandwidth cap for the non-ABR inner pipe. Responsive to the determination of the bandwidth caps, the Unit throttles traffic within at least one of the inner pipes.

Claim (Index 15):
The QoE Management system according to  claim 10 , further comprising maintaining a desired QoE for each client device/provider combination by:\n assigning a priority level to each provider and to each client device; translating the assigned priority levels into weights; and utilizing the weights in a Weighted Fair Queuing (WFQ) algorithm to control, at any given time, an amount of bandwidth each client device is allowed to utilize to download content from any given provider, thereby maintaining a desired QoE for each client device/provider combination.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 2.47826
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15437077', '14618295', '14618391', '15437118', '15687170']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5058076691023925
- 35 USC 102 Novelty (BERT): 0.6002342142880943
- Combined Prediction Score: 0.5152503236209627
- Mean Citation Score: 392.750846
- Max Citation Score: 578.44604
- Similarity Product: 455.8716026477193

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