PATENT CLAIM ANALYSIS

Application Number: 15943426
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-09
Patent Classification: ["370", "329000"]

Abstract:
Embodiments contemplate methods, systems, and apparatuses for interference measurement in a wireless communication network, including wireless communication networks the employ MIMO in uplink and/or downlink communication. Embodiments contemplate identifying one or more interference measurement resource elements that may be received from one or more transmission points. Embodiments also contemplate performing interference measurement estimation based at least in part on the identified one or more interference measurement resource elements. Channel state information (CSI) perhaps in the form of reports may be generated based at least in part on the one or more interference measurement estimation. Embodiments also contemplate that the CSI report may be transmitted to one or more nodes. In some embodiments, the one or more interference measurement resource elements may be received as part of a set of resource elements.

Claim (Index 39):
The method of  claim 31 , wherein the first configuration of interference measurement resources further comprises a first configuration of zero-power (ZP) CSI-RS resources, the first configuration of ZP CSI-RS resources including a fifth set of resource elements.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 91.0
- Lexical Diversity: 2.16667
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13572142', '15815833', '13890608', '13732129', '14632881']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5817206929963524
- 35 USC 102 Novelty (BERT): 0.5613810754308525
- Combined Prediction Score: 0.5796867312398024
- Mean Citation Score: 357.34123000000005
- Max Citation Score: 477.34793
- Similarity Product: 299.10946941219214

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