PATENT CLAIM ANALYSIS

Application Number: 15897340
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["370", "208000"]

Abstract:
A method includes: determining a Cyclic Shift (CS) parameter that implicitly indicates an orthogonality allocation rule and orthogonality-related information, by determining a multiple access state of a User Equipment (UE), and transmitting the determined CS parameter to the UE, wherein the orthogonality-related information includes an Orthogonal Cover Code indicated by the CS parameter, the orthogonality allocation rule is determined as a uniform scheme or a non-uniform scheme according to the CS parameter, determining the CS parameter by which the non-uniform scheme is applied if the UE is in a Single User Multiple Input Multiple Output state, and determining the CS parameter by which the uniform scheme is applied if the UE is in a Multiple User Multiple Input Multiple Output state.

Claim (Index 27):
The apparatus of  claim 21 , wherein the Cyclic Shift parameter value for the N layers is determined based on 3 bits values indicated in the following table 2, and a first layer is \u03bb=0. TABLE 2 Cyclic Shift Cyclic shift parameter value for layer \u03bb parameter \u03bb = 0 \u03bb = 1 \u03bb = 2 \u03bb = 3 000 0 6 3 9 001 6 0 9 3 010 3 9 6 0 011 4 10 7 1 100 2 8 5 11 101 8 2 11 5 110 10 4 1 7 111 9 3 0 6

Metadata:
- Claim Count in Document: 59.0
- Percentile: 88.0
- Lexical Diversity: 2.375
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14611852', '13961380', '15390278', '13099500', '15043845']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6767954295153855
- 35 USC 102 Novelty (BERT): 0.635432147366115
- Combined Prediction Score: 0.6726591013004585
- Mean Citation Score: 576.903372
- Max Citation Score: 611.4718
- Similarity Product: 554.6012811513543

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