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 4):
The method according to  claim 1 , wherein determining, from the M candidate backhaul nodes, by the central control node, the target backhaul node for the first cell based on the access link resource pre-occupation information of the first cell, the link quality information between the first cell and each of the M candidate backhaul nodes, and the available backhaul link resource information sent by the M candidate backhaul nodes comprises:\n calculating, by the central control node, based on the access link resource pre-occupation information of the first cell, the link quality information between the first cell and each of the M candidate backhaul nodes, and the available backhaul link resource information sent by the M candidate backhaul nodes, a corresponding throughput sum of all subscribers served by the first cell for each candidate backhaul node, to obtain M throughput sums; and determining, by the central control node, a candidate backhaul node corresponding to a maximum throughput sum in the M throughput sums as the target backhaul node.

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): 0.7227496169235582
- 35 USC 102 Novelty (BERT): 0.4938931353014968
- Combined Prediction Score: 0.6998639687613522
- Mean Citation Score: 208.930072
- Max Citation Score: 218.36884
- Similarity Product: 154.7667307786083

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