PATENT CLAIM ANALYSIS

Application Number: 15923238
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["455", "091000"]

Abstract:
Backscatter communication offers the potential for significant energy savings compared to conventional wireless links such as Bluetooth, Zigbee, WiFi, etc. However, backscatter communication requires the presence of a carrier source in the environment at an appropriate frequency. If such a carrier source is not available in the environment, backscatter communication may not be practical. Examples are presented for a radio frequency communication device having the option to use either backscatter communication, or non-backscatter communication, with the re-use of at least portions of the hardware components between the backscatter and non-backscatter communication modes.

Claim (Index 10):
A method of transmitting a signal from a radio frequency communication device having a first antenna, the method comprising:\n determining a communication mode for the radio frequency communication device from among a plurality of modes including (a) a backscatter communication mode and (b) a non-backscatter communication mode; and selecting a bias condition for a first transistor based on the communication mode, wherein the first transistor is in electrical communication with the first antenna, and wherein the first transistor operates as an impedance modulator when the radio frequency communication device is in the backscatter communication mode and as an amplifier when the radio frequency communication device is in the non-backscatter communication mode.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 90.0
- Lexical Diversity: 1.63492
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15249167', '15631142', '16091085', '11019976', '12581502']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6376969530695902
- 35 USC 102 Novelty (BERT): 0.4909290595584829
- Combined Prediction Score: 0.6230201637184795
- Mean Citation Score: 205.70366
- Max Citation Score: 232.98486
- Similarity Product: 188.0749782945872

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