PATENT CLAIM ANALYSIS

Application Number: 15742878
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-12
Patent Classification: ["370", "329000"]

Abstract:
Apparatus, systems, and methods to identify victims and aggressors of interference in full duplex communication systems are described. In one example, apparatus of an eNB capable to manage a bearer in a network comprising multiple heterogeneous radio access technology network access points, the eNB comprising processing circuitry to determine a first portion of the bearer to be allocated to a first network access point and a second portion of the bearer to be allocated to a second network access point in the network and allocate the first portion of the bearer to the first network access point and the second portion of the bearer to the second network access point. Other examples are also disclosed and claimed.

Claim (Index 44):
The apparatus of  claim 41 , further comprising processing circuitry to:\n determine a first portion of the bearer to be allocated to a first network access point and a second portion of the bearer to be allocated to a second network access point in the network; allocate the first portion of the bearer to the first network access point and the second portion of the bearer to the second network access point; and transmit the first portion and the second portion to the eNB.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 86.0
- Lexical Diversity: 2.38462
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15765694', '14583172', '14705669', '15765542', '14314256']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5325358401484503
- 35 USC 102 Novelty (BERT): 0.5167647304465821
- Combined Prediction Score: 0.5309587291782635
- Mean Citation Score: 215.554276
- Max Citation Score: 330.88895
- Similarity Product: 272.42943343330626

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