PATENT CLAIM ANALYSIS

Application Number: 15751127
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["370", "329000"]

Abstract:
When performing a contention protocol, such as Listen-Before-Talk (LBT), an Long Term Evolution (LTE)-Licensed Assisted Access (LAA) node dynamically adapts the ED threshold used by the LTE-LAA node depending on whether other transmission nodes are detected at the frequency components that are to be used by the LTE-LAA node. In one implementation, the ED threshold value may initially be set to a conservative value, and when other transmissions nodes are not detected, the ED threshold value may be set to a more aggressive value. In another implementation, the ED threshold value may initially be set to a more aggressive value, and only when another transmission node is detected, the ED threshold value may be set to a more conservative value. In yet another possible implementation, the ED threshold value and the transmit power may be proportionally modified, for a particular UE, based on a parameter associated with the UE.

Claim (Index 11):
The eNB of  claim 10 , wherein the proportional modification includes inversely modifying the ED threshold value and the transmit power value such that increases to the ED transmit power correspond to decreases in the transmit power value.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 88.0
- Lexical Diversity: 2.28
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15752481', '15751975', '14750849', '15124953', '14981150']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5537513726615401
- 35 USC 102 Novelty (BERT): 0.5069324010960657
- Combined Prediction Score: 0.5490694755049926
- Mean Citation Score: 184.033716
- Max Citation Score: 196.61339
- Similarity Product: 108.41509711381912

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