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 8):
The method of  claim 4 , wherein the receiving the hybrid automatic repeat request feedback comprises receiving a hybrid automatic repeat request negative acknowledgment, and wherein the facilitating the change of the first repetition level to the second repetition level comprises facilitating an increase of an hybrid automatic repeat request negative acknowledgment counter, and based on a result of determining that the hybrid automatic repeat request negative acknowledgment counter has reached a negative acknowledgement threshold value, facilitating an increase of the first repetition level to the second repetition level.

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): 0.5620337082012068
- 35 USC 102 Novelty (BERT): 0.4937707459134997
- Combined Prediction Score: 0.5552074119724362
- Mean Citation Score: 189.042352
- Max Citation Score: 207.14973
- Similarity Product: 137.9766989733857

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