PATENT CLAIM ANALYSIS

Application Number: 16145612
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["375", "130000"]

Abstract:
Techniques for spread spectrum wireless over non-contiguous channels are described. In at least some embodiments, a set of channels is selected for wireless communication, with at least some of the channels being non-contiguous (e.g., non-adjacent) from one another. A spreading sequence is selected, such as based on attributes of a selected set of channels. Communication data that is to be transmitted over the set of channels is combined with the spreading sequence to generate a spread spectrum signal. The spread spectrum signal is then divided into multiple sub-signals for transmission over the set of channels.

Claim (Index 5):
The communication device of  claim 3 ,\n wherein the information associated with the set of wireless channels comprises a permitted transmission power for a second wireless channel from the set of wireless channels; and wherein providing the two or more sub-signals to the base station comprises:\n transmitting a first sub-signal of the two or more sub-signals based on the permitted transmission power for the first wireless channel; and \n transmitting a second sub-signal of the two or more sub-signals based on the permitted transmission power for the second wireless channel.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 97.0
- Lexical Diversity: 1.85965
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14468699', '15211305', '15010756', '15634565', '14252460']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4860851175200597
- 35 USC 102 Novelty (BERT): 0.4797876843276316
- Combined Prediction Score: 0.4854553742008169
- Mean Citation Score: 178.72665
- Max Citation Score: 212.22473
- Similarity Product: 173.16524412841258

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