PATENT CLAIM ANALYSIS

Application Number: 15751118
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["370", "329000"]

Abstract:
A method for performing listen-before-talk (LBT) on multiple unlicensed carrier includes: performing, by a station, an individual LBT mechanism on each of unlicensed carriers to be aggregated to obtain a right to use the each of the unlicensed carriers; or configuring, by the station, a same LBT mechanism for the unlicensed carriers to be aggregated, performing a unified LBT mechanism on each of the unlicensed carriers to be aggregated to obtain the right to use each of the unlicensed carriers; or grouping, by the station, the unlicensed carriers to be aggregated, performing a corresponding LBT mechanism on each group of unlicensed carriers to obtain a right to use the each group of unlicensed carriers.

Claim (Index 5):
The method according to  claim 3 , wherein in response to proceeding to perform by the station the eCCA detections on the unlicensed carrier which includes an interval of being preempted successfully within the third preset range and consecutive eCCA detections within the third preset range all indicate idle, the method further comprises:\n performing, by the station, the CCA detections on the unlicensed carriers to be preempted and planned to be aggregated; and in response to determining that the CCA detections indicate idle, obtaining, by the station, the right to use the unlicensed carriers.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 88.0
- Lexical Diversity: 3.2
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15750993', '14942690', '15564798', '14743825', '15558003']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5658971274907276
- 35 USC 102 Novelty (BERT): 0.529758006313606
- Combined Prediction Score: 0.5622832153730155
- Mean Citation Score: 298.84094
- Max Citation Score: 340.13632
- Similarity Product: 254.0986510784149

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

Dataset: test