PATENT CLAIM ANALYSIS

Application Number: 15875829
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["370", "329000"]

Abstract:
Facilitating semi-open loop based transmission diversity for uplink transmissions in a communications network is provided herein. A system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise receiving, from a network device, information related to a sounding reference resource. The information related to the sounding reference resource can be based on a sounding reference signal resource transmission detected during a defined time interval. The operations can also comprise, based on a selected weight vector cycling, selecting a weight vector from defined weight vectors stored in the memory, resulting in a selected weight vector. Further, the operations can comprise transmitting, to the network device, a signal that comprises the selected weight vector multiplied with the sounding reference signal, during the selected weight vector cycling.

Claim (Index 14):
The method of  claim 10 , further comprising, prior to the receiving the sounding reference resource information, facilitating, from the network device, receiving a configuration of a non-codebook-based transmission protocol for an uplink channel.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.26087
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15870623', '13773316', '15432515', '15401014', '15624407']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5233489166666854
- 35 USC 102 Novelty (BERT): 0.4957749647327129
- Combined Prediction Score: 0.5205915214732881
- Mean Citation Score: 166.734392
- Max Citation Score: 196.03421
- Similarity Product: 120.40758783158958

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