PATENT CLAIM ANALYSIS

Application Number: 15888226
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["370", "278000"]

Abstract:
To provide for higher data rates, a wireless back haul network for connecting small cell base stations to a core network can be implemented using full-duplex over single channel communications. The difficulty with full-duplex over single channel communications, and the reason why it has not become common place in wireless and mobile communication standards to date, is the significant interference that the receiver of a full-duplex communication device will generally experience from the full-duplex communication device's own transmitter transmitting over the same channel that the receiver is to receive signals. This interference is referred to as self-interference because the interference experienced by the receiver originates from its own paired transmitter. The present disclosure describes embodiments of an apparatus and method that provide sufficient self-interference cancellation in a compact and power efficient manner for a small cell wireless backhaul network.

Claim (Index 22):
The transceiver of  claim 21 , wherein the baseband canceller is configured to generate the distorted copy of the transmit baseband signal based on a non-linear distortion associated with the up-conversion and the amplification performed by the transmitter.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 88.0
- Lexical Diversity: 1.65169
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15091324', '14344492', '14274328', '12426697', '14156254']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4092537655009436
- 35 USC 102 Novelty (BERT): 0.5200659786435704
- Combined Prediction Score: 0.4203349868152063
- Mean Citation Score: 201.76478200000005
- Max Citation Score: 329.86795
- Similarity Product: 282.77079812027216

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

Dataset: test