PATENT CLAIM ANALYSIS

Application Number: 15767812
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["370", "329000"]

Abstract:
Techniques for communication of a partial subframe and properties related to the partial subframe of a plurality of subframes in licensed assisted access (LAA) for an unlicensed frequency band are discussed. A network device (e.g., an evolved NodeB, or other cell network device) can generate a listen before talk (LBT) protocol in order to determine whether an unlicensed carrier of a secondary cell device is idle or busy. The evolved Node B (eNB) can communicate starting or ending partial subframes in a downlink transmission, and a user equipment (UE) can process partial subframes based on the communications and a scheduling policy.

Claim (Index 29):
An apparatus configured to be employed within an evolved NodeB (eNB), comprising:\n a radio frequency (\u201cRF\u201d) circuitry component configured to process or generate communication signals on an unlicensed spectrum; and a baseband component, coupled to the RF circuitry component, configured to generate a clear channel assessment of one or more secondary cell network devices by performing a listen before talk protocol (\u201cLBT\u201d) to detect whether a channel of the one or more second cell network devices is busy or idle, and in response to the detecting the channel of the one or more second cell network devices is idle, generate a downlink transmission via the channel in the unlicensed spectrum after a random duration that is specified within a predetermined interval of the downlink transmission.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 91.0
- Lexical Diversity: 1.64789
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15764301', '15765764', '15146859', '15345235', '15771868']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5287975140445632
- 35 USC 102 Novelty (BERT): 0.5190274563454467
- Combined Prediction Score: 0.5278205082746515
- Mean Citation Score: 281.09233400000005
- Max Citation Score: 306.7652
- Similarity Product: 219.8130040399552

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

Dataset: test