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 2):
The method of  claim 1 , further comprising, if the number of active IoT devices is greater than a maximum number of optimum power levels of the SIC receiver:\n aborting, by the IoT gateway, the setting of the number of optimum power levels of the SIC receiver; and broadcasting, by the IoT gateway, a next notification signal comprising a random back-off request, to notify the plurality of IoT devices that the IoT gateway is available to receive transmission packets over the transmission medium and to request that the active IoT devices utilize a random back-off in a next transmission of the training sequence over the transmission medium.

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): 0.4500139503077454
- 35 USC 102 Novelty (BERT): 0.568323257360655
- Combined Prediction Score: 0.4618448810130363
- Mean Citation Score: 192.25765
- Max Citation Score: 429.93173
- Similarity Product: 427.2228643982911

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