PATENT CLAIM ANALYSIS

Application Number: 15977730
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["370", "320000"]

Abstract:
The gains with non-orthogonal multiple access (NOMA) for uplink data transmissions can be high when chosen codes are orthogonal. However, when codes are non-orthogonal, the gains can be low. NOMA can be used when there is more than one mobile device using the same resources. Since orthogonal codes can not be possible for every length, codes which have low cross-correlation properties can be used. However, when there are a large number of mobile devices using the same resources, the cross-correlation between the codes can cause interference to the mobile devices. Reducing the gains of a NOMA system can reduce the overall throughput. Thus, transmitting data on the same resources in a NOMA can occur in spite of the interference to the UEs transmitting data on the same resources. Therefore, a non-orthogonal multiple access design for a 5G network can mitigate interference.

Claim (Index 13):
The system of  claim 9 , wherein the one or more spreading codes comprise a first spreading code, wherein the spreading code data is first spreading code data, and wherein the operations further comprise:\n receiving second spreading code data representative of a second spreading code of different length than the first spreading code.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 93.0
- Lexical Diversity: 2.19444
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15401079', '15977836', '15681131', '15399573', '15341927']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5627246308181592
- 35 USC 102 Novelty (BERT): 0.4885165313305395
- Combined Prediction Score: 0.5553038208693972
- Mean Citation Score: 178.63029
- Max Citation Score: 190.13031
- Similarity Product: 127.93574311733188

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