EP-4736570-A2 - COMPUTERIZED SYSTEMS AND METHODS FOR AN ADAPTIVE MULTI-LINK OPERATION MESH NETWORK

Abstract

Disclosed are systems and methods that provide a computerized network management framework that adaptively configures a network at a location to optimize network usage and application operation thereon. The disclosed framework enables the implementation of MLO functionality within WiFi 7 enabled mesh networks based on end user activity. The disclosed network management framework can leverage information related to the detection of application instances on a network, in addition to determinations of such applications' priority of operations on the network, and dynamically activate MLO links across certain branches of the topology of a location's network (e.g., the locations' operational mesh network). This, among other benefits, can provide faster speeds, lower latency and increased capacity for the network and the devices operating therein/thereon.

Inventors

• SAMPATHKUMAR, BADRI SRINIVASAN

Assignees

• Plume Design, Inc.

Dates

Publication Date

20260506

Application Date

20240624

Claims (20)

1. 1. A method comprising: detecting, by a device, an application executing in association with a network at a location; analyzing, by the device, network data corresponding to the application execution; determining, by the device, based on the analysis, a set of network parameters, the set of network parameters indicating requirements related to connectivity and capacity capabilities of the network; configuring, by the device, multi-link operation (MLO) components of the network based on the determined set of network parameters; and facilitating, by the device, network activity for the application via the configured MLO components.
2. 2. The method of claim 1, wherein the MLO components correspond to at least one of a channel, band, radio and interface associated with the network.
3. 3. The method of claim 1, further comprising: determining, based on the set of network parameters, to activate the MLO components associated with a connection of the device, wherein the configuration of the MLO components is based on the activation determination.
4. 4. The method of claim 1, wherein the activated MLO component is in a dormant state until the activation.
5. 5. The method of claim 1, wherein the set of network parameters correspond to at least one of bandwidth, latency, packet size, signal strength, downloading, uploading, transmission power and transmission frequency.
6. 6. The method of claim 1, further comprising: collecting activity data from a plurality of applications operating on the network; analyzing the activity data; determining a plurality of patterns of behavior for the network; and storing the determined plurality of patterns of behavior.
7. 7. The method of claim 6, further comprising: analyzing, in association with the application, a set of patterns, the set of patterns being identified from the stored plurality of patterns of behavior; determining, based on the analysis of the set of patterns, a time corresponding to the application execution, wherein the time is indicated in at least one pattern in the set of patterns, wherein the detection of the application is based on the determined time.
8. 8. The method of claim 1, wherein the network is a location-specific network, wherein the network is a WiFi mesh network, wherein the WiFi mesh network comprises front haul and back haul components between nodes of the network, wherein the front haul and back haul components comprise the MLO components.
9. 9. The method of claim 1, wherein the device is a user device.
10. 10. The method of claim 1, wherein the device is an access point for a location.
11. 11. A device comprising: a processor configured to: detect an application executing in association with a network at a location; analyze network data corresponding to the application execution; determine, based on the analysis, a set of network parameters, the set of network parameters indicating requirements related to connectivity and capacity capabilities of the network; configure multi-link operation (MLO) components of the network based on the determined set of network parameters; and facilitate network activity for the application via the configured MLO components.
12. 12. The device of claim 11, wherein the MLO components correspond to at least one of a channel, band, radio and interface associated with the network.
13. 13. The device of claim 11, wherein the processor is further configured to: determine, based on the set of network parameters, to activate the MLO components associated with a connection of the device, wherein the configuration of the MLO components is based on the activation determination, wherein the activated MLO component is in a dormant state until the activation.
14. 14. The device of claim 11, wherein the processor is further configured to: analyze, in association with the application, a set of patterns, the set of patterns being identified from a stored plurality of patterns of behavior; determine, based on the analysis of the set of patterns, a time corresponding to the application execution, wherein the time is indicated in at least one pattern in the set of patterns, wherein the detection of the application is based on the determined time.
15. 15. The device of claim 11, wherein the network is a location-specific network, wherein the network is a WiFi mesh network, wherein the WiFi mesh network comprises front haul and back haul components between nodes of the network, wherein the front haul and back haul components comprise the MLO components.
16. 16. A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions that when executed by a device, perform a method comprising: detecting, by the device, an application executing in association with a network at a location; analyzing, by the device, network data corresponding to the application execution; determining, by the device, based on the analysis, a set of network parameters, the set of network parameters indicating requirements related to connectivity and capacity capabilities of the network; configuring, by the device, multi-link operation (MLO) components of the network based on the determined set of network parameters; and facilitating, by the device, network activity for the application via the configured MLO components.
17. 17. The non-transitory computer-readable storage medium of claim 16, wherein the MLO components correspond to at least one of a channel, band, radio and interface associated with the network.
18. 18. The non-transitory computer-readable storage medium of claim 16, further comprising: determining, based on the set of network parameters, to activate the MLO components associated with a connection of the device, wherein the configuration of the MLO components is based on the activation determination, wherein the activated MLO component is in a dormant state until the activation.
19. 19. The non-transitory computer-readable storage medium of claim 16, further comprising: analyzing, in association with the application, a set of patterns, the set of patterns being identified from a stored plurality of patterns of behavior; determining, based on the analysis of the set of patterns, a time corresponding to the application execution, wherein the time is indicated in at least one pattern in the set of patterns, wherein the detection of the application is based on the determined time.
20. 20. The non-transitory computer-readable storage medium of claim 16, wherein the network is a location-specific network, wherein the network is a WiFi mesh network, wherein the WiFi mesh network comprises front haul and back haul components between nodes of the network, wherein the front haul and back haul components comprise the MLO components.

Description

COMPUTERIZED SYSTEMS AND METHODS FOR AN ADAPTIVE MULTI-LINK OPERATION MESH NETWORK FIELD OF THE DISCLOSURE [0001] The present disclosure is generally related to management of a network, and more particularly, to a decision intelligence (Dl)-based computerized framework for deterministically managing, controlling and/or configuring multi-link operation (MLO) functionality of a mesh network at a location. BACKGROUND [0002] WiFi 7, also referred to as IEEE 802.11be, is the latest generation of wireless technology. SUMMARY OF THE DISCLOSURE [0003] WiFi 7 is designed to provide faster speeds, lower latency and increased capacity compared to previous WiFi standards. Among other benefits, WiFi 7 can provide extreme high throughput (EHT), and can support multi-access point (AP) coordination (e.g., coordination and joint transmission. [0004] WiFi 7 includes functionality to bond WiFi links across multiple radios/frequency bands together into a single multi-link device, which provides the ability to transmit packets destined for that endpoint via either of the constituent links. This ability translates to improved throughput performance and capacity since such metrics can now become additive amongst the constituent links. For example, WiFi 7 provides improved latency in traffic flows due to the ability to send traffic over the less congested link. [0005] As discussed herein, according to some embodiments, disclosed are systems and methods for utilizing MLO functionality within WiFi 7 enabled mesh networks based on end user activity. As discussed below, according to some embodiments, the disclosed network management framework can leverage information related to the detection of application instances on a network, in addition to determinations of such applications’ priority of operations on the network, and dynamically activate MLO links across certain branches of the topology of a location’s network (e.g., the locations’ operational mesh network, as discussed below). This, among other benefits, can provide faster speeds, lower latency and increased capacity for the network and the devices operating therein/thereon. [0006] Thus, according to some embodiments, the disclosed systems and methods provide a novel computerized network management framework that adaptively configures network usage and/or network parameters/characteristics at a location based on determined intelligence about the network, devices executing therein/there-around and behavioral patterns of users in/around the location. 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) which applications are to be prioritized, and/or which devices operating such applications should be prioritized. Accordingly, this information can be utilized to dynamically and adaptively activate MLO links for such devices, which can enable an improved network and user experience. Accordingly, as discussed herein, network configurations and/or network parameters can be managed, modified and manipulated to dynamically determined and evolving runtime environments so as to ensure the operational integrity of the applications/devices connected to and operating on the network. [0007] It should be understood that while the discussion herein will focus on WiFi 7 and mesh networks at a location, it should not be construed as limiting, as any type of known or to be known type of network for which MLO functionality can be implemented can be utilized via the disclosed systems and methods without departing from the scope of the instant disclosure. [0008] According to some embodiments, a method is disclosed for adaptively activating MLO functionality for a network based on application detection and prioritization. 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 for adaptively activating MLO functionality for a network based on application detection and prioritization. [0009] In accordance with one or more embodiments, a system is provided that includes one or more processors and/or computing devices configured to provide functionality in accordance with such embodiments. In accordance with one or more embodiments, functionality is embodied in steps of a method performed by at least one computing device. In accordance with one or more embodiments, program code (or program logic) executed by a processor(s) of a computing device to implement functionality in accordance with one or more such embodiments is embodi