PATENT CLAIM ANALYSIS

Application Number: 15768712
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["370", "329000"]

Abstract:
Disclosed are a method and an apparatus for detecting real-time random access and multi-user using multiple sequence spreading. The method for detecting real-time random access and multi-user using multiple sequence spreading may include steps of selecting, by user equipment, one spreading sequence set from a plurality of spreading sequence sets randomly without a separate resource allocation and/or spreading sequence allocation, applying, by the user equipment, each of the plurality of spreading sequences included in the one spreading sequence set to each of the plurality of symbols included in a group, and transmitting, by the user equipment, each of the plurality of symbols spread based on each of the plurality of spreading sequences.

Claim (Index 3):
An apparatus for detecting real-time random access and multi-user using multiple sequence spreading, the apparatus comprising:\n a radio frequency (RF) unit transmitting and receiving a wireless signal; and a processor operatively coupled with the RF unit, wherein the processor selects one spreading sequence set from a plurality of spreading sequence sets randomly without a separate resource allocation and/or spreading sequence allocation, applies each of the plurality of spreading sequences included in the one spreading sequence set to each of the plurality of symbols included in a group, and transmits each of the plurality of symbols spread based on each of the plurality of spreading sequences.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 96.0
- Lexical Diversity: 2.34615
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14565595', '10592557', '14565609', '10471671', '15513160']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.537877810190765
- 35 USC 102 Novelty (BERT): 0.4939998313140264
- Combined Prediction Score: 0.5334900123030911
- Mean Citation Score: 208.85586400000005
- Max Citation Score: 216.36397
- Similarity Product: 143.23338671728789

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test