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 29):
The method of  claim 28 , wherein the step of comparing the number of actively connected wireless devices and the future need for active connections with an active connection allocation comprises:\n retrieving a current number of allocated connection tokens; comparing the current number of allocated connection tokens to a number of connection tokens corresponding to a sum of the number of actively connected wireless devices and a number of connection tokens corresponding to the future need for active connections; if the sum of the number of connection tokens corresponding to the number of actively connected devices and the number of connection tokens corresponding to the future need for active connections is greater than the current number of allocated tokens, determining if the sum, minus the current number of allocated tokens, exceeds a soft limit; and if the sum, minus the current number of allocated tokens, exceeds the soft limit, requesting additional connection tokens.

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): 0.5031484722870035
- 35 USC 102 Novelty (BERT): 0.4995210072843354
- Combined Prediction Score: 0.5027857257867367
- Mean Citation Score: 152.417956
- Max Citation Score: 160.53333999999995
- Similarity Product: 97.17375058951136

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