PATENT CLAIM ANALYSIS

Application Number: 15754621
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["370", "329000"]

Abstract:
Embodiments herein may relate to a method performed by a network node ( 115 ). The network node defines one or more parameters of a Coverage Enhanced Physical random access channel Configuration Index, CE PCI, for one or more Physical Random Access Channel, PRACH, resource sets, each of the one or more PRACH resource sets is associated with a coverage level whereby a different CE PCI is defined for each coverage level. The network node configures the one or more PRACH resource sets in a broadcast message. Furthermore, the network node assigns a starting subframe number to a PRACH resource set used by a UE, ( 110 ), and calculates a Random Access Radio Network Temporary Identifier, RA-RNTI, using the assigned starting subframe number.

Claim (Index 36):
A User Equipment (UE), comprising:\n communication circuitry configured for communicating with a wireless communication network; and processing circuitry operatively associated with the communication circuitry and configured to:\n choose a Physical Random Access Channel (PRACH) resource set according to a coverage level, each PRACH resource set having an associated Coverage Enhanced PRACH Configuration Index (CE PCI); \n transmit a random access preamble to a network node; and \n receive a random access response identified by a Random Access Radio Network Temporary Identifier (RA-RNTI), wherein the RA-RNTI is calculated using a starting subframe number assigned to the PRACH resource set used by the UE.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 88.0
- Lexical Diversity: 1.91667
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15818612', '15260415', '15812582', '14903528', '15216949']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5557153136376464
- 35 USC 102 Novelty (BERT): 0.5231577945801835
- Combined Prediction Score: 0.5524595617319001
- Mean Citation Score: 330.313018
- Max Citation Score: 336.06393
- Similarity Product: 281.17866837622404

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