PATENT CLAIM ANALYSIS

Application Number: 16375833
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["370", "336000"]

Abstract:
Provided are a scheduling apparatus and method for a multicast broadcast service. Scheduling information is configured with at least one of information related to a location in which each multicast broadcast service, which is identified by a unique identifier within one scheduling period, starts and information related to a location in which each multicast broadcast service ends, and a scheduling block including the configured scheduling information is generated. There is an advantage that power management of user equipment is easy, and a time delay when initially entering the MBMS and a channel change time when selecting a different MBMS are reduced.

Claim (Index 3):
A device, comprising:\n a memory; and a processor operably coupled to the memory, wherein the processor, when executing program instructions stored in the memory, is configured to:\n determine whether to provide a first multicast service during a first period; \n generate a first message comprising a first identifier and a first value, wherein the first identifier and the first value are related to the first multicast service; \n cause the device to transmit the first message during the first period; and \n if the first multicast service is provided during the first period, cause the device to transmit at least a part of the first multicast service during the first period, the first value in the first message indicating when the first multicast service ends within the first period.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 1.8
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15641115', '14933399', '15959624', '12769225', '13910524']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5876679838127326
- 35 USC 102 Novelty (BERT): 0.503541524536501
- Combined Prediction Score: 0.5792553378851095
- Mean Citation Score: 305.42301800000007
- Max Citation Score: 317.25632
- Similarity Product: 309.9548667368698

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