PATENT CLAIM ANALYSIS

Application Number: 16124837
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2018-12
Patent Classification: ["370", "336000"]

Abstract:
Embodiments of the present invention provide a method, a device, and a system for determining timing advance grouping, and relate to the field of communications, the method, device and system for determining timing advance grouping. The method includes adding, by a base station (eNodeB), a component carrier (CC) for a user equipment (UE); according to obtained timing advance (TA) group information or a preset rule, determining a TA group that the added CC belongs to, where the TA group is a set of CCs that can share a TA; and sending identification information that identifies the TA group to the UE. Embodiments of the present invention are used to determine TA grouping when the eNodeB adds the CC for the UE.

Claim (Index 6):
A device, comprising:\n a non-transitory computer-readable storage medium; a processing hardware platform executing instructions stored on the non-transitory computer-readable storage medium, wherein the instructions are executed to cause the device to:\n add a first component carrier (CC) for a user equipment (UE); \n determine a timing advance (TA) group to which the first CC belongs, wherein the TA group is a set of CCs that share a TA; and \n send, to the UE, identification information that identifies the TA group to which the first CC belongs.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 97.0
- Lexical Diversity: 2.26984
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14617642', '13548145', '15663391', '13421665', '14252365']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5565820283660642
- 35 USC 102 Novelty (BERT): 0.5948003938410769
- Combined Prediction Score: 0.5604038649135655
- Mean Citation Score: 385.69655
- Max Citation Score: 505.90216
- Similarity Product: 467.287821040392

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