PATENT CLAIM ANALYSIS

Application Number: 15971391
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["370", "235000"]

Abstract:
Leveraging multiple network interfaces, such as Wi-Fi and cellular, on mobile devices can improve user experience for various applications. Deadline-aware MPTCP scheduling can complement existing MPTCP scheduler. The deadline-aware MPTCP scheduler can dynamically select transmission paths to minimize cellular usage while satisfying data transfer deadlines. The deadline-aware MPTCP scheduler can also address several challenges, such as determining the appropriate traffic pattern over cellular paths, designing proper APIs between MPTCP and applications, and making the scheduler functionality robust and lightweight.

Claim (Index 9):
A system, comprising:\n a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:\n determining a throughput, resulting in throughput data, associated with a transmission of packet data; \n determining a Wi-Fi capacity, resulting in Wi-Fi capacity data, associated with the transmission of the packet data via a Wi-Fi connection; \n in response to the determining the throughput and the determining the Wi-Fi capacity, determining a cellular capacity associated with the transmission of the packet data via a cellular connection; and \n in response to a condition associated with transmitting first packet data, of the packet data, via the Wi-Fi connection, being determined to have been satisfied, terminating the transmitting of second packet data via the cellular.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 93.0
- Lexical Diversity: 1.49153
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15086613', '15099207', '14499139', '13911759', '15253441']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5543619598212565
- 35 USC 102 Novelty (BERT): 0.5708337187070983
- Combined Prediction Score: 0.5560091357098407
- Mean Citation Score: 292.878046
- Max Citation Score: 467.19797
- Similarity Product: 418.7628597896749

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