PATENT CLAIM ANALYSIS

Application Number: 15983044
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["370", "315000"]

Abstract:
A bandwidth efficient way to improve reliability without introducing additional latency is provided for Ultra-Reliable and Low Latency Communications (URLLC) service in  5 G NR. In particular, using rateless fountain codes in conjunction with packet duplication for split bearers at the Packet Data Convergence Protocol (PDCP) layer increases the reliability of transmission without the need for retransmissions, and with a lower bandwidth requirement compared to traditional packet duplication

Claim (Index 12):
A method, comprising:\n determining, by a radio access network device comprising a processor, that a packet is associated with a radio access bearer satisfying a defined criterion relating to latency and reliability of the radio access bearer, wherein the radio access network device is part of a radio access network; encoding, by the radio access network device, the packet with a rateless fountain code resulting in a first group of encoded packets, wherein the encoding the packet with the rateless fountain code facilitates reconstructing the packet from a second group of encoded packets, and wherein a first number of bits associated with the second group of encoded packets is at least equal to a second number of bits associated with the packet; and transmitting, by the radio access network device, the first group of encoded packets to a user equipment device via a split bearer associated with a group of network paths of the radio access network.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 93.0
- Lexical Diversity: 1.27119
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15005669', '11541461', '15877455', '13797371', '15953248']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5237942447834907
- 35 USC 102 Novelty (BERT): 0.4797622617574665
- Combined Prediction Score: 0.5193910464808883
- Mean Citation Score: 169.093428
- Max Citation Score: 189.7093
- Similarity Product: 136.76300595737698

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

Dataset: test