PATENT CLAIM ANALYSIS

Application Number: 15928953
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["370", "329000"]

Abstract:
Methods and systems for waking up a wireless receiving stations having wake-up radio (WUR) circuits. A method of providing a wake-up signal in a communications channel for a plurality of receiving stations, comprising: generating a plurality of series of waveform coded symbols, each series being incorporated into a respective wake-up-radio (WUR) frame that is intended for a respective receiving station and has a respective predefined bandwidth; combining the respective WUR frames into a multiband WUR data unit having a bandwidth that is greater than a sum of the predefined bandwidths of the wake-up radio frames; transmitting a wake-up signal including the multiband WUR data unit in the communications channel.

Claim (Index 15):
A transmitter for transmitting a wake-up signal in a communications channel, comprising:\n a waveform coding module configured to generate a multiband wake-up-radio (WUR) data unit including a plurality of WUR frames that each incorporate a series of waveform coded symbols intended for a respective receiving station, each WUR frame occupying a respective predefined bandwidth within a bandwidth of the multiband WUR data unit, the bandwidth of the WUR data unit being greater than a sum of the predefined bandwidths of the WUR frames; and a modulator for up-converting the multiband WUR data unit onto a carrier frequency and transmitting a wake-up signal including the multiband WUR data unit in the communications channel.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 90.0
- Lexical Diversity: 1.93548
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15654250', '15604220', '15667574', '15663467', '15852548']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5629294694475347
- 35 USC 102 Novelty (BERT): 0.5241211324476213
- Combined Prediction Score: 0.5590486357475434
- Mean Citation Score: 266.98742200000004
- Max Citation Score: 348.44647000000015
- Similarity Product: 250.9962795562912

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