PATENT CLAIM ANALYSIS

Application Number: 16135267
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-07
Patent Classification: ["375", "267000"]

Abstract:
A communication method includes determining, by a network device according a value of a resource bundling granularity, at least one precoding resource block group in a scheduling resource corresponding to the terminal device, where a type of the value of the resource bundling granularity is one of a first-type value and a second-type value, and a precoding resource block group determining method corresponding to the first-type value and the second-type value are different. The method further includes transmitting, by the network device, data to the terminal device by using the at least one precoding resource block group. Based on different values of the resource bundling granularity, different methods are used to determine the at least one precoding resource block group in the scheduling resource.

Claim (Index 35):
The processing apparatus according to  claim 23 , wherein the value of the resource bundling granularity is the first-type value, and\n wherein the instructions to determine the at least one resource block bundling group include instructions to determine the at least one resource block bundling group in the scheduling resource according to the value of the resource bundling granularity and a location of the scheduling resource in a maximum available bandwidth of a system.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 97.0
- Lexical Diversity: 2.79167
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13278310', '15586946', '14249119', '13819292', '14398840']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5326259304559772
- 35 USC 102 Novelty (BERT): 0.5051664557914081
- Combined Prediction Score: 0.5298799829895202
- Mean Citation Score: 253.728022
- Max Citation Score: 262.6623
- Similarity Product: 184.60170394842623

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