PATENT CLAIM ANALYSIS

Application Number: 15752890
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-06
Patent Classification: ["370", "329000"]

Abstract:
The present invention provides an MTC UE random access method and device. The method comprises: receiving indication information sent by a network side, the indication information being used for indicating at least one coverage enhancement level (CE LEVEL) and a physical random access channel (PRACH) resource corresponding thereto; selecting one CE LEVEL from a CE LEVEL of an MTC UE and the CE LEVEL indicated by the network side, and determining a PRACH resource corresponding to the CE LEVEL; and carrying out random access on the PRACH resource corresponding to the selected CE LEVEL. The present invention provides a mechanism of how to select a PRACH resource when a network side triggers an MTC UE to initiate a contention-free random access (CFRA) process.

Claim (Index 1):
A method for a random access of a Machine Type Communication, MTC, User Equipment, UE, the method comprising:\n receiving indication information transmitted by a network side, wherein the indication information indicates at least one Coverage Enhancement, CE, level, and a Physical Random Access Channel, PRACH, resource corresponding to the at least one CE level; selecting one CE level from a CE level of the MTC UE, and the at least one CE level indicated by the network side, and determining a PRACH resource corresponding to the selected CE level; and initiating a random access over the PRACH resource corresponding to the selected CE level.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 2.10769
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15089528', '15577198', '14647192', '14901190', '14992457']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5829513331490175
- 35 USC 102 Novelty (BERT): 0.5123838925724177
- Combined Prediction Score: 0.5758945890913575
- Mean Citation Score: 298.403248
- Max Citation Score: 323.6308
- Similarity Product: 267.7411536324263

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

Dataset: test