PATENT CLAIM ANALYSIS

Application Number: 15760489
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["370", "252000"]

Abstract:
The present disclosure relates to a method performed in a Radio Access Network (RAN) comprised in a communication network, for locating a communication bottleneck in said communication network. The method comprises estimating a first Round Trip Time (RTT) between the RAN and a terminal device connected via the RAN. The method also comprises estimating a second RTT between the RAN and a server of a service provider configured for providing a service to the terminal device via the RAN. The method also comprises estimating an end-to-end RTT between the terminal device and server, based on the first and second RTT. The method also comprises determining a relative contribution of the second RTT to the end-to-end RTT. The method also comprises determining that the relative contribution of the second RTT indicates that signalling performance between the server and terminal device is limited by the signalling performance between the server and RAN.

Claim (Index 3):
The method of  claim 2 , wherein the estimating a first RTT comprises estimating a time from when a communication packet for the service client reaches the RAN to when a response packet, from the service client in response to the communication packet, reaches the RAN.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 90.0
- Lexical Diversity: 2.7
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15576692', '15735479', '15739067', '14762735', '14651222']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5571546888685297
- 35 USC 102 Novelty (BERT): 0.4821960767269035
- Combined Prediction Score: 0.5496588276543671
- Mean Citation Score: 178.70435
- Max Citation Score: 192.87917
- Similarity Product: 139.98738611470222

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

Dataset: test