PATENT CLAIM ANALYSIS

Application Number: 15982117
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["370", "329000"]

Abstract:
The described technology is generally directed towards adaptively selecting a repetition level in wireless communications, based on events to improve coverage range via the repetition level while not unnecessarily reducing throughput. One such event can include a current signal-to-noise-ratio, e.g., as reported in a channel quality indicator report from a user equipment. Another such event can comprise a number of consecutive hybrid automatic repeat request acknowledgments or negative acknowledgments (HARQ ACKS/NACKS), in which consecutive ACKs tend to indicate good signal quality, while consecutive NACKs tend to indicate poor signal quality. A combination of channel quality indicator-based adaptive repetition level and HARQ ACK/NACK-based adaptive repetition level can be employed.

Claim (Index 20):
The machine-readable storage medium of  claim 17 , wherein the detecting the channel quality event comprises evaluating a channel quality indicator reported by the user equipment or receiving hybrid automatic repeat request feedback from the user equipment, and wherein the reconfiguring the first repetition level to the second repetition level based on the channel quality event comprises changing the first repetition level to the second repetition level based on the channel quality indicator or based on the hybrid automatic repeat request feedback.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.4875
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15948052', '15699650', '15699246', '13082090', '14746533']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5678103887426258
- 35 USC 102 Novelty (BERT): 0.4700931838855068
- Combined Prediction Score: 0.558038668256914
- Mean Citation Score: 189.042352
- Max Citation Score: 207.14973
- Similarity Product: 176.35167707969785

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