PATENT CLAIM ANALYSIS

Application Number: 15918799
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-08
Patent Classification: ["370", "328000"]

Abstract:
Disclosed is a system for tracking and dynamically allocating wireless capacity within a wireless telecommunications network. The system has a plurality of processor levels: a layer of baseband-level capacity processors that are deployed within each baseband processor; a layer of client-level capacity processors that are deployed within each wireless base station; a layer of server-level capacity processors, each of which orchestrate allocation of wireless capacity over a unique domain of wireless base stations; and a master level capacity processor. Wireless capacity is allocated in terms of active connections to wireless devices, and the active connections are quantized and allocated as logical connections, or connection tokens. The system dynamically allocates wireless capacity so that resources are devoted to venues and environments where demand is greatest at any given time.

Claim (Index 9):
The system of  claim 8 , wherein each baseband-level capacity processor maintains its baseband-level active connection allocation as a function of device category, each baseband-level capacity processor makes a request for a baseband-level additional active connection allocation as a function of device category, each client-level capacity processor maintains its active connection reservation as a function of device category, and each client-level capacity processor responds to the request for a baseband-level additional active connection allocation as a function of device category.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 90.0
- Lexical Diversity: 1.90411
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11537728', '10377217', '14709936', '13038701', '15483068']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5016684582237783
- 35 USC 102 Novelty (BERT): 0.5051118688265401
- Combined Prediction Score: 0.5020127992840545
- Mean Citation Score: 152.417956
- Max Citation Score: 160.53333999999995
- Similarity Product: 91.70825255090357

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test