Jump to content

18568028. DATA BURST VOLUME INDICATION FOR TSC simplified abstract (Telefonaktiebolaget LM Ericsson (publ))

From WikiPatents

DATA BURST VOLUME INDICATION FOR TSC

Organization Name

Telefonaktiebolaget LM Ericsson (publ)

Inventor(s)

Zhenhua Zou of Solna (SE)

[[:Category:Jonas Fr�berg Olsson of Ljungsbro (SE)|Jonas Fr�berg Olsson of Ljungsbro (SE)]][[Category:Jonas Fr�berg Olsson of Ljungsbro (SE)]]

Torsten Dudda of Wassenberg (DE)

Yufei Blankenship of Kildeer IL (US)

Bikramjit Singh of Raasepori (FI)

DATA BURST VOLUME INDICATION FOR TSC - A simplified explanation of the abstract

This abstract first appeared for US patent application 18568028 titled 'DATA BURST VOLUME INDICATION FOR TSC

Simplified Explanation

The patent application discusses systems and methods for indicating data burst volume for Time Sensitive Communication (TSC). By receiving additional parameters from a core network node, the Radio Access Network (RAN) node can better understand the data volume characteristics of a Quality of Service (QOS) flow, allowing for optimized scheduling of radio resources.

  • The method involves receiving parameters from a core network node that describe data volume characteristics of a QOS flow.
  • This allows the RAN node to have a more accurate understanding of traffic characteristics compared to always assuming the worst-case scenario with the maximum data burst volume (MDBV) parameter.
  • With this information, the RAN node can optimally schedule radio resources to cater to the data volume.

Key Features and Innovation

  • Improved understanding of data volume characteristics for QOS flows.
  • Optimal scheduling of radio resources based on accurate traffic characteristics.
  • Enhanced efficiency in managing data burst volumes for Time Sensitive Communication.

Potential Applications

This technology can be applied in various communication networks where Time Sensitive Communication is crucial, such as in 5G networks, Internet of Things (IoT) devices, and real-time applications like video streaming.

Problems Solved

  • Addressing the challenge of efficiently managing data burst volumes in Time Sensitive Communication.
  • Avoiding the limitations of always assuming worst-case scenarios with data volume parameters.

Benefits

  • Enhanced network efficiency and resource utilization.
  • Improved Quality of Service for time-sensitive applications.
  • Better overall performance in managing data burst volumes.

Commercial Applications

Title: Enhanced Data Burst Volume Management for Time Sensitive Communication This technology can be utilized by telecommunications companies, IoT service providers, and any industry requiring real-time data transmission. It can improve network performance, customer satisfaction, and overall operational efficiency.

Questions about Data Burst Volume Indication for Time Sensitive Communication

How does this technology improve the efficiency of radio resource scheduling in communication networks?

The technology allows for a more accurate understanding of data volume characteristics, enabling optimal resource allocation based on traffic patterns.

What are the potential implications of this innovation on the development of 5G networks and IoT devices?

This innovation can lead to improved performance and reliability in 5G networks and IoT devices, enhancing the overall user experience and enabling new applications and services.


Original Abstract Submitted

Systems and methods are disclosed for data burst volume indication for Time Sensitive Communication (TSC). In one embodiment, a method performed by Radio Access Network (RAN) node comprises receiving, from a core network (CN) node, one or more parameters, in additional to a maximum data burst volume (MDBV) parameter, that describe one or more data volume characteristics of a Quality of Service (QOS) flow. In this manner, compared to always assuming the worst-case scenario with the MDBV, the RAN node has a more accurate understanding of the traffic characteristics, which allows the RAN node to optimally schedule radio resources to cater to the data volume.

Cookies help us deliver our services. By using our services, you agree to our use of cookies.