PATENT CLAIM ANALYSIS

Application Number: 15903240
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["370", "352000"]

Abstract:
There is provided a system that includes a local cloud radio access network (RAN), and a remote cloud RAN. The local cloud RAN processes latency-sensitive applications, and the remote cloud RAN processes latency-tolerant applications. User traffic is appropriately routed to the correct cloud RAN based on the application. User equipment (UE) has no knowledge of which network is being used for processing, i.e., this network processing split is done in a manner that is transparent to the UE, e.g., by dynamically selecting a different access point name for local vs. remote processing. The processing split of the RAN between the local cloud RAN and the remote cloud RAN is done in a dynamic manner depending on the number of devices requiring low latency support. This allows the local cloud RAN to be very compact and low-cost since it does not have to process the latency-tolerant traffic.

Claim (Index 15):
The method of  claim 9 , further comprising:\n implementing, in said local cloud RAN, a first waveform numerology optimized for said latency-sensitive applications; and implementing, in said remote cloud RAN, a second waveform numerology optimized for said latency-tolerant applications.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 88.0
- Lexical Diversity: 2.0
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15021641', '15549381', '15701362', '15701315', '15765254']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5630333597744334
- 35 USC 102 Novelty (BERT): 0.5149046215794594
- Combined Prediction Score: 0.558220485954936
- Mean Citation Score: 264.34996
- Max Citation Score: 276.58148
- Similarity Product: 155.92642759650948

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