PATENT CLAIM ANALYSIS

Application Number: 15743057
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-03
Patent Classification: ["375", "262000"]

Abstract:
A group TRP beams for a given UE beam is formed by adding to the group of TRP beams any TRP beam for which the path gain meets a threshold. That is, grouping TRP beams that have “good enough” path gain to a certain UE beam in the same group. An advantage of forming a group TRP beams for a given UE beam by including in the TRP beam group any TRP beam for which the path gain meets a threshold is that, in many scenarios, there is a greater probability that there will be more usable TRP beams included in the group. This feature can be useful during multi-user scheduling at the TRP.

Claim (Index 22):
The method of  claim 20 , further comprising:\n the TRP scheduling a transmission of data to a third UE over a third TRP beam during a second time slot; the TRP determining that the first UE is configured such that the first UE employs the second UE beam during the second time slot; and the TRP making a second data transmission scheduling decision for the first UE using the first beam grouping information, wherein making the second data transmission scheduling decision for the first UE using the first beam grouping information comprises determining whether to schedule a data transmission to the first UE during the second time slot, wherein the determination is based on whether the first beam grouping information indicates that the third TRP beam is included in the second group of TRP beams for use in communicating with the first UE when the first UE is employing the second UE beam.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 86.0
- Lexical Diversity: 2.15789
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15855157', '14724716', '15650039', '15789650', '15821338']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4792788031717532
- 35 USC 102 Novelty (BERT): 0.4908024607156034
- Combined Prediction Score: 0.4804311689261382
- Mean Citation Score: 207.52315200000004
- Max Citation Score: 227.44414
- Similarity Product: 166.28539202244878

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