PATENT CLAIM ANALYSIS

Application Number: 15906483
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["455", "431000"]

Abstract:
A terrestrial communications network for providing broadband internet access to aerial platforms is described. One set of embodiments describe systems and methods for assigning aerial platforms to cell sites, and imposing a network frequency reuse pattern over the assigned beams, such as to optimize a certain network performance metric. Another set of embodiments describe systems and methods to iteratively optimize the aerial platform to cell site beam assignment, and the associated network frequency reuse pattern, according to the specified network performance metric. In other embodiments, systems and methods are described for measuring exogenous interference, to be used in SINR estimation received from different cell sites at the aerial platform in order to choose the cell site from which highest data rate is received.

Claim (Index 17):
Method of  claim 16 , whereby the aerial platform radio sub-system estimates the exogenous interference power on a frequency channel further comprising:\n measuring the total received power on a given frequency channel; measuring the received signal powers on forward link preamble signals; subtracting the thermal noise power and the estimated signal powers of forward link preamble signals from the total received power to estimate the exogenous interference power; and sending the estimated exogenous interference power, position coordinates of the aerial platform and orientation of the aerial platform beam to the network control entity.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 88.0
- Lexical Diversity: 1.84722
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15897018', '14228640', '14284079', '14337149', '14516491']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7076666278780555
- 35 USC 102 Novelty (BERT): 0.5194959216970245
- Combined Prediction Score: 0.6888495572599523
- Mean Citation Score: 247.843246
- Max Citation Score: 321.57925
- Similarity Product: 219.26898930397635

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