PATENT CLAIM ANALYSIS

Application Number: 16205302
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["455", "449000"]

Abstract:
Embodiments of the present invention provide a resource allocation method and apparatus. A central control node determines a target backhaul node for a normal small cell from M candidate backhaul nodes and communication link resource information between the normal small cell and the target backhaul node based on access link resource pre-occupation information of the normal small cell, link quality information between the normal small cell and each of the M candidate backhaul nodes, and available backhaul link resource information sent by the M candidate backhaul nodes.

Claim (Index 13):
The method according to  claim 12 , wherein before receiving, by the first cell, the third indication message sent by the central control node, the method further comprises:\n receiving, by the first cell, a fourth indication message sent by the central control node, wherein the fourth indication message includes information for instructing the first cell to measure the link quality information between the first cell and each of the M candidate backhaul nodes, and the fourth indication message comprises at least one of a second measurement information or a second measurement trigger condition.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 98.0
- Lexical Diversity: 2.16667
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15563907', '15247938', '13883030', '15362832', '15505446']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7214670811960066
- 35 USC 102 Novelty (BERT): 0.5004904280087763
- Combined Prediction Score: 0.6993694158772835
- Mean Citation Score: 208.930072
- Max Citation Score: 218.36884
- Similarity Product: 142.68920340869664

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