PATENT CLAIM ANALYSIS

Application Number: 15906040
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["455", "450000"]

Abstract:
Soft channel reservation in shared spectrum networks is discussed. In network areas where multiple wireless nodes, whether from the same or different network operators, share spectrum using a channel reservation signaling form of contention resolution, an aggressor transmitter listens for a neighbor receiver's receiver channel reservation signal to the neighbor transmitter the neighbor receiver is in communication with. The receiver channel reservation signal includes channel condition information that the aggressor transmitter can use to estimate an interference impact at the neighbor receiver should the aggressor transmitter performs its transmissions to its own receivers. Based on whether this estimated interference impact exceeds or remains within a particular threshold, the aggressor transmitter may decide whether or not to back off of its transmissions until a later time.

Claim (Index 4):
The method of  claim 1 , further including:\n determining a measure of signal-to-interference at the one or more neighbor receivers; determining the interference impact metric exceeds the threshold interference when the measure of signal-to-interference is greater than a maximum level.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 88.0
- Lexical Diversity: 1.6962
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15608512', '15499570', '13739420', '15746416', '13798548']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6738251257039515
- 35 USC 102 Novelty (BERT): 0.5047342874302586
- Combined Prediction Score: 0.6569160418765821
- Mean Citation Score: 202.174154
- Max Citation Score: 211.00114
- Similarity Product: 137.75657825664757

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