Search

EP-4740389-A1 - COMPUTERIZED SYSTEMS AND METHODS FOR APPLICATION-BASED QOE NETWORK CONFIGURATION AND IMPLEMENTATION

EP4740389A1EP 4740389 A1EP4740389 A1EP 4740389A1EP-4740389-A1

Abstract

Disclosed are systems and methods that provide a computerized network management framework that adaptively configures network parameters/characteristics of a network at a location based on determined intelligence about the network, and/or devices and/or applications executing thereon. The disclosed framework can leverage information related to network capacity and coverage against network activity (e.g., upload/download, streaming, and the like) of devices connected to the network to determine i) which components and/or network activities are causing issues within a network and/or ii) how to configure a network to address/remedy such components and/or activities. Accordingly, the disclosed framework can effectuate control and modifications, and/or capabilities for identifying specific network parameters, firmware, software and/or hardware in order to realize specific configurations of the network to improve the network's quality, capacity and/or coverage, among other characteristics of the network and its operations.

Inventors

  • VICARIO, MIGUEL
  • GADALIN, ALEXEY
  • SUNDARAMURTHY, RUK
  • TELIDEVARA, KISHORE
  • LOWNSBROUGH, Derek

Assignees

  • Plume Design, Inc.

Dates

Publication Date
20260513
Application Date
20240703

Claims (20)

  1. 1. A method comprising: collecting, by a device, network data for a time period, the network data corresponding to network activity of at least one connected device on a network at a location; analyzing, by the device, the network data, and determining, based on the analysis, a Quality of Experience (QoE) for the at least one connected device, the QoE comprising information indicating an operational status of the network and an event causing the operational status; determining, by the device, an executable operation based on the QoE, the executable operation being configured to be performed via the network to address the event; and causing, by the device, execution of the executable operation, the execution causing a modified network configuration of the network such that the operational status of the network is improved.
  2. 2. The method of claim 1, wherein the modified network configuration comprises altered network parameters for the network.
  3. 3. The method of claim 1, wherein the modified network configuration comprises altered operation of components providing the network at the location.
  4. 4. The method of claim 1, further comprising: determining, based on the analysis, metrics corresponding to values of the network data, the metrics providing an indication as to an operational status of at least one parameter and component of the network, wherein the QoE is based on the determined metrics.
  5. 5. The method of claim 4, further comprising: correlating, based on the analysis, the network data in view of the determined metrics, wherein the QoE is determined based on the correlation.
  6. 6. The method of claim 1, wherein the event is a real -world event corresponds to functionality of hardware components of at least one access point providing the network to the location.
  7. 7. The method of claim 1, wherein the event is a digital event corresponds to at least one of functionality of network connectivity of the at least one connected device and software of at least one access point providing the network to the location.
  8. 8. The method of claim 1, wherein the network data corresponds to at least one of bandwidth, latency, packet size, transmission power and transmission frequency.
  9. 9. The method of claim 1, wherein the operational status corresponds to at least one of a real-world and digital event.
  10. 10. The method of claim 1, wherein the event comprises activity on the network causing degradation below network thresholds.
  11. 11. The method of claim 1, wherein the device is user equipment connected to the network.
  12. 12. The method of claim 1, wherein the device is an access point device, wherein the network is a Wi-Fi network.
  13. 13. A device comprising: a processor configured to: collect network data for a time period, the network data corresponding to network activity of at least one connected device on a network at a location; analyze the network data, and determine, based on the analysis, a Quality of Experience (QoE) for the at least one connected device, the QoE comprising information indicating an operational status of the network and an event causing the operational status; determine an executable operation based on the QoE, the executable operation being configured to be performed via the network to address the event; and cause execution of the executable operation, the execution causing a modified network configuration of the network such that the operational status of the network is improved.
  14. 14. The device of claim 13, wherein the modified network configuration comprises altered network parameters for the network.
  15. 15. The device of claim 13, wherein the modified network configuration comprises altered operation of components providing the network at the location.
  16. 16. The device of claim 13, wherein the processor is further configured to: Determine, based on the analysis, metrics corresponding to values of the network data, the metrics providing an indication as to an operational status of at least one parameter and component of the network; and correlate, based on the analysis, the network data in view of the determined metrics, wherein the QoE is determined based on the correlation.
  17. 17. A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions that when executed by a device, perform a method comprising: collecting, by the device, network data for a time period, the network data corresponding to network activity of at least one connected device on a network at a location; analyzing, by the device, the network data, and determining, based on the analysis, a Quality of Experience (QoE) for the at least one connected device, the QoE comprising information indicating an operational status of the network and an event causing the operational status; determining, by the device, an executable operation based on the QoE, the executable operation being configured to be performed via the network to address the event; and causing, by the device, execution of the executable operation, the execution causing a modified network configuration of the network such that the operational status of the network is improved.
  18. 18. The non-transitory computer-readable storage medium of claim 17, wherein the modified network configuration comprises altered network parameters for the network.
  19. 19. The non-transitory computer-readable storage medium of claim 17, wherein the modified network configuration comprises altered operation of components providing the network at the location.
  20. 20. The non-transitory computer-readable storage medium of claim 17, further comprising: determining, based on the analysis, metrics corresponding to values of the network data, the metrics providing an indication as to an operational status of at least one parameter and component of the network; and correlating, based on the analysis, the network data in view of the determined metrics, wherein the QoE is determined based on the correlation.

Description

COMPUTERIZED SYSTEMS AND METHODS FOR APPLICATION-BASED QOE NETWORK CONFIGURATION AND IMPLEMENTATION FIELD OF THE DISCLOSURE [0001] The present disclosure is generally related to network management, and more particularly, to a decision intelligence (Dl)-based computerized framework for deterministically managing and/or controlling network components and/or parameters of a network at a location. BACKGROUND [0002] Conventional mechanisms of modem network management, as provided by the International Organization for Standardization (ISO), focus on maintaining a Quality of Service (QoS). That is, current network management technologies provide management tools that information technology (IT) professionals can utilize to view network metrics in order to conduct network traffic and/or activities based thereon. SUMMARY OF THE DISCLOSURE [0003] The disclosed systems and methods provide an improved computerized network management framework that adaptively identifies and configures network parameters/characteristics of a network at a location based on determined intelligence about the network, and/or devices and/or applications executing thereon. Rather than providing tools for administrators or other types of IT professionals to implement, the disclosed framework enables the network to “self-manage” not only its parameters but the network traffic and interacting entities thereon so as to ensure that both a QoS is maintained, as well as a Quality of Experience (QoE), as discussed herein. [0004] According to some embodiments, as discussed herein, the disclosed framework can leverage information related to network capacity and coverage against network activity (e.g., upload/download, streaming, and the like) of devices connected to the network to determine i) which components and/or network activities are causing issues within a network and/or ii) how to configure a network to address such components and/or activities. Accordingly, in some embodiments, as discussed in more detail below, the disclosed framework can effectuate control and modifications, and/or capabilities for identifying specific network parameters, firmware, software and/or hardware in order to realize specific configurations of the network to improve the network’s quality, capacity and/or coverage, among other characteristics of the network. [0005] Accordingly, as discussed herein, the disclosed framework can provide an adaptive network management that involves dynamic, adaptive network configuration functionality and performance control, as well as improved security features. [0006] According to some embodiments, the disclosed framework can effectuate configuration management that involves more than just the management of routers, switches, servers or other pieces of network equipment, in that the framework can additionally provide ongoing tracking of any changes to the configuration of the network. Since configuration issues are one of the major causes of outages, the framework provides novel tools that monitor a network’s configuration and performs real-time (and/or historically-based) management to ensure the network’s operational integrity. Thus, the disclosed framework can provide and/or administer a wired and/or wireless infrastructure respective to the network hardware and software. [0007] In some embodiments, the disclosed framework can further provide performance management functionality that can ensure proper and/or acceptable service levels in the network to support optimal networking operations. Accordingly, the disclosed framework can perform real-time (and/or historically-based) data collection related to network service quality by tracking performance data on a range of metrics, either through passive monitoring of network traffic or synthetic tests, for example, and execute computerized operations to improve, among other features, packet loss rates and network response times, inter alia. [0008] Moreover, in some embodiments, the disclosed framework’s on-site (or “onpremises”), network based diagnostics can realize a security management layer to the network, whereby capabilities related to security management can be provided, which can include, but are not limited to, firewall configuration and management, vulnerability management, intrusion detection systems and unified threat management, and the like. [0009] According to some embodiments, a method is disclosed for a Dl-based computerized framework for deterministically managing and/or controlling network components and/or parameters of a network at a location. In accordance with some embodiments, the present disclosure provides a non-transitory computer-readable storage medium for carrying out the above-mentioned technical steps of the framework’s functionality. The non-transitory computer-readable storage medium has tangibly stored thereon, or tangibly encoded thereon, computer readable instructions that when executed by a device cause at least one processor to perform a method fo