PATENT CLAIM ANALYSIS

Application Number: 16222497
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-10
Patent Classification: ["370", "329000"]

Abstract:
Slotted Aloha-NOMA (SAN) protocol is an uncoordinated, non-orthogonal, random access protocol that exploits the simplicity of SA (Slotted Aloha) and the superior throughput of non-orthogonal multiple access (NOMA) and its ability to resolve collisions via use of successive interference cancellation (SIC) receiver. In SAN protocol, the SIC receiver at the IoT gateway adaptively learns the number of active devices (which is not known a priori) using multiple hypothesis testing in order to successfully distinguish between signals transmitted from different IoT devices.

Claim (Index 18):
The non-transitory computer-readable media of  claim 16 , further for performing, receiving, from each active IoT device, a device identification associated with the active IoT device and a payload, the payload comprising a selected optimum power level of the SIC receiver and a selected receiving antenna of the SIC receiver; for determining if the selected optimum power level of each of the active IoT devices is distinct; and for establishing a connection between each of the active IoT devices and the SIC receiver if the selected optimum power level of each of the active IoT devices is distinct.

Metadata:
- Claim Count in Document: 39.0
- Percentile: 98.0
- Lexical Diversity: 1.5
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16104412', '12547092', '16093777', '14760342', '15444869']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4523527696785245
- 35 USC 102 Novelty (BERT): 0.564047194942548
- Combined Prediction Score: 0.4635222122049269
- Mean Citation Score: 192.25765
- Max Citation Score: 429.93173
- Similarity Product: 385.7098603776879

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