Huawei technologies co., ltd. (20240113987). End-to-End Latency Guarantee for Downlink Traffic simplified abstract
Contents
- 1 End-to-End Latency Guarantee for Downlink Traffic
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 End-to-End Latency Guarantee for Downlink Traffic - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
End-to-End Latency Guarantee for Downlink Traffic
Organization Name
Inventor(s)
Lijun Dong of Santa Clara CA (US)
Lin Han of Santa Clara CA (US)
End-to-End Latency Guarantee for Downlink Traffic - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240113987 titled 'End-to-End Latency Guarantee for Downlink Traffic
Simplified Explanation
The abstract describes a method and network device for achieving end-to-end latency guarantees in a data network. The method involves receiving a latency guarantee service request message, determining the remaining packet delay budget, sending a slice selection request to a network function, and receiving a response indicating the ability to satisfy the remaining packet delay budget and maximum flow rate.
- The method involves a network device in a core network receiving a latency guarantee service request message from a source node in a data network.
- The request message includes information such as a latency guarantee indicator, packet delay budget requirement, maximum flow rate, and end device identifier.
- The network device determines the remaining packet delay budget for the core network and transport network.
- A slice selection request is sent to a network function, including the remaining packet delay budget, maximum flow rate, and identifier.
- The network function responds with an identified slice for the requested traffic and indicates whether it can satisfy the remaining packet delay budget and maximum flow rate.
Potential Applications
This technology could be applied in telecommunications networks, data centers, and cloud computing environments to ensure end-to-end latency guarantees for critical applications and services.
Problems Solved
This technology addresses the challenge of providing reliable and predictable latency performance in complex data networks, which is essential for real-time applications and services.
Benefits
The benefits of this technology include improved quality of service, enhanced user experience, and better network performance for latency-sensitive applications.
Potential Commercial Applications
Potential commercial applications of this technology include network service providers, cloud service providers, and enterprises that require stringent latency guarantees for their applications and services.
Possible Prior Art
One possible prior art in this field could be related to Quality of Service (QoS) mechanisms in network devices and protocols that aim to prioritize and manage traffic based on specific requirements such as latency guarantees.
Unanswered Questions
How does this technology impact network scalability and resource utilization?
The article does not delve into the scalability implications of implementing end-to-end latency guarantees in large-scale networks.
What are the potential security considerations associated with implementing this technology?
The article does not address the security aspects of ensuring latency guarantees and potential vulnerabilities that may arise in the network.
Original Abstract Submitted
a method and a network device for achieving end-to-end latency guarantees, where the method includes: receiving, by a network device in a core network, a latency guarantee service (lgs) request message from a source node in a data network (dn), the lgs request message requesting to transmit traffic to an end device and comprising one or more of a lgs indicator, an end-to-end packet delay budget (pdb) requirement, a maximum flow rate, and an end device identifier; determining a remaining pdb for the core network and a transport network; sending an lgs slice selection request to a network function, including one or more of the remaining pdb, the maximum flow rate, and the identifier; and receiving an lgs response from the network function, which identifies an lgs slice for the requested traffic and indicates whether the lgs slice is able to satisfy the remaining pdb and the maximum flow rate.
