18366514. Data Analytics for Multi-access Edge Computation simplified abstract (APPLE INC.)

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Data Analytics for Multi-access Edge Computation

Organization Name

APPLE INC.

Inventor(s)

Rohit R. Matolia of Surat (IN)

Alosious Pradeep Prabhakar of Singapore (SG)

Krisztian Kiss of Hayward CA (US)

Mohammed Sadique of Parramatta (AU)

Srinivasan Nimmala of San Jose CA (US)

Vijay Venkataraman of San Jose CA (US)

Data Analytics for Multi-access Edge Computation - A simplified explanation of the abstract

This abstract first appeared for US patent application 18366514 titled 'Data Analytics for Multi-access Edge Computation

Simplified Explanation

The patent application describes computer systems and methods for operating a network data and analytics function (NWDAF) in a cellular core network. The NWDAF receives information about the mobility of user equipment (UE) from one network function and information about edge application servers (EAS) from another network function. It then uses this information to derive data analytics. The NWDAF can receive a request for these data analytics from a third network function and provide them accordingly.

  • The NWDAF receives UE mobility information from one network function and EAS information from another network function.
  • It uses this information to derive data analytics.
  • The NWDAF can provide these data analytics to a third network function upon request.

Potential Applications

This technology can have various potential applications, including:

  • Network optimization: The derived data analytics can be used to optimize the performance and efficiency of the cellular network system.
  • Resource allocation: The data analytics can help in allocating network resources more effectively based on UE mobility and EAS information.
  • Quality of service improvement: By analyzing UE mobility and EAS information, the NWDAF can provide insights to improve the quality of service for users.

Problems Solved

This technology solves several problems in the cellular network system, such as:

  • Lack of efficient data analytics: By deriving data analytics based on UE mobility and EAS information, the NWDAF addresses the need for efficient analysis and utilization of network data.
  • Inefficient resource allocation: The NWDAF helps in optimizing resource allocation by providing insights into UE mobility patterns and EAS information.
  • Limited network optimization: The derived data analytics can assist in identifying areas for network optimization and improving overall network performance.

Benefits

The benefits of this technology include:

  • Enhanced network performance: By utilizing data analytics derived from UE mobility and EAS information, the cellular network system can improve its overall performance and efficiency.
  • Improved user experience: The insights provided by the NWDAF can help in enhancing the quality of service for users, leading to a better user experience.
  • Efficient resource utilization: The data analytics derived by the NWDAF enable more effective allocation of network resources, resulting in optimized resource utilization.


Original Abstract Submitted

Computer systems and methods are described for operating a network data and analytics function (NWDAF) in a cellular core network. The NWDAF receives user equipment (UE) mobility information from a first network function of the cellular network system and receives edge application server (EAS) information from a second network function of the cellular network system. The NWDAF derives data analytics based at least in part on the UE mobility information and the edge application server information. The NWDAF receives a request for the data analytics from a third network function in the cellular network system, and provides the data analytics to the third network function.

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