PATENT CLAIM ANALYSIS

Application Number: 16370487
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["370", "329000"]

Abstract:
The present disclosure provides a method a user equipment (UE) to perform random access to a radio network comprising an uplink physical resource configuration (UL) and supplementary physical resource configuration (SUL). A random access request containing a preamble may be transmitted from the UE to the radio network on a physical random access channel (PRACH) of one of the uplink physical resource configuration or the supplementary uplink physical resource configuration. A random access response for the UE indicating the physical resource configuration on whose PRACH the random access request was sent may be received at the UE, wherein the indication is made by a Random Access Radio Network Temporary Identifier (RA-RNTI) used to identify the random access response. The radio network may be accessed by the UE based on information in the random access response.

Claim (Index 6):
The method of  claim 4 , wherein the RA-RNTI is calculated as follows:\n RA-RNTI=1+ t _id+ X*f _id+ X*Y *C _id, wherein t_id refers to an index of slot where the preamble transmission starts, fid refers to an index of the PRACH within the slot, X is the maximum number of slots per radio frame of different uplink physical resource configurations, Y is the maximum number of PRACHs in frequency domain of different uplink physical resource configurations, 0\u2264t_id<X, 0\u2264f_id<Y, and C_id is the index of the uplink physical resource configuration on whose PRACH the random access request was sent.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 99.0
- Lexical Diversity: 2.14286
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12545355', '14449694', '14529159', '15859086', '12766677']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6053551957773831
- 35 USC 102 Novelty (BERT): 0.5422999739520858
- Combined Prediction Score: 0.5990496735948534
- Mean Citation Score: 379.838494
- Max Citation Score: 389.05133
- Similarity Product: 254.7671352741272

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