PATENT CLAIM ANALYSIS

Application Number: 15949583
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["455", "450000"]

Abstract:
Methods and devices for scheduling assignment resource patterns determining are provided. Mappings of scheduling assignment resource patterns to scheduling assignment resource pool in a device to device, D2D, communication network are given. The way to notify a D2D device of the resource pattern for using is also give.

Claim (Index 24):
A method for a network element in device to device (D2D) communications, comprising:\n transmitting parameters indicating available resources for scheduling assignments (SAs) to one or more UEs; determining a plurality of SA resource patterns based on the parameters, wherein each SA resource pattern is associated with distinct resources, within the available resources, that can be allocated for one or more SAs related to a single user equipment (UE); and transmitting, to a particular UE, information identifying a particular one of the plurality of SA resource patterns, wherein the information comprises:\n a SA resource index; and \n if the number of SA resource patterns comprising the plurality is greater than the number of SA resource patterns identifiable by the SA resource index, a second index identifying a SA resource group to which the particular SA resource pattern belongs.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 1.60606
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14893308', '15501734', '14818150', '15944541', '15532906']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7065662431555294
- 35 USC 102 Novelty (BERT): 0.599497558379096
- Combined Prediction Score: 0.6958593746778861
- Mean Citation Score: 326.646334
- Max Citation Score: 511.91693
- Similarity Product: 503.2128675757736

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