Plume Design, Inc.

Menara Networks, Inc.

Menara Network, Inc.

Adam R Hotchkiss

William John McFarland

Gabriel E Cardona

Siraj Nour El-Ahmadi

Yoseph Malkin

Nipun Agarwal

Sandeep Eyyuni

Na Hyun Ha

Aman Singla

Sai Pradeep Venkatraman

Yusuke Sakamoto

Rohit Thadani

Paul White

William J McFARLAND

Salam El-Ahmadi

Salam El Ahmadi

Balaji Rengarajan

Evan Jeng

Sameer Vaidya

Abhishek Kumar

Salam Elahmadi

Siraj Nour Elahmadi

Murugesan Guruswamy

Evan Rusackas

Robert Miller

Kiran Kumar Edara

Kaixiang Hu

Arun Kalmanje

Patrick Li

Manikanden Balakrishnan

Hong Fan

Ming Ding

Sandeep Jain

Bin Hu

Daniel Louis Miller

Srinivasa Tagirisa

Ali Wahid

Matej Zevnik

William Mcfarland

Michal Kazior

Fredrick Muya

Nate Amarose

Mladen Barjaktarevic

Metod Medja

Divy Le Ray

Krishna Kolakaluri

Malay Vadher

Reginald Wilcox

Kunal Goswami

A Wi-Fi network includes one or more Wi-Fi access points each comprising circuitry configured to: provide a plurality of virtual networks including a home network and a work network, each of the plurality of virtual networks being segmented in terms of visibility, connect to a corporate network via one or more secure tunnels, connect to one or more user devices, and route traffic for the one or more user devices based on which particular virtual network the one or more user devices are connected on.

Wi-Fi network supporting multiple virtual networks

Systems and methods of geographically limiting a cellular gateway for a Wi-Fi network include obtaining a location of the cellular gateway; determining whether the cellular gateway is authorized to operate at the location on a given cellular network; and performing an action including any of blocking, allowing, or partially allowing operation of the cellular gateway on the cellular network. The method can be implemented by a cloud service, and wherein the location is determined by one of the cellular gateway and a user device connected to the cellular gateway.

Geographic limitation of Wi-Fi access points with cellular connection

Systems and methods of detecting a parallel Wi-Fi network or a parallel Wi-Fi access point include operating a new Wi-Fi network at a location; analyzing Wi-Fi at the location; determining whether there is a parallel Wi-Fi network or a parallel Wi-Fi access point operating at the location with the new Wi-Fi network based on the analyzing; and, responsive to determining there is the parallel Wi-Fi network or the parallel Wi-Fi access point at the location, performing one or more of i) causing resolution of the parallel Wi-Fi network or the parallel Wi-Fi access point and ii) providing a notification to a user associated with the location.

Detection of parallel operating Wi-Fi networks

System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for a condition of each of the plurality of Wi-Fi networks; determining one or more resolutions for the condition of a Wi-Fi network of the plurality of Wi-Fi networks; and initiating a customer outreach workflow to provide the one or more resolutions to the customer associated with the Wi-Fi network.

Intelligent monitoring systems and methods for wi-fi metric-based resolutions for cloud-based wi-fi networks

System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for Wi-Fi metric based alarms, each Wi-Fi metric based alarm being associated with detection of one of an offline Wi-Fi network of the plurality of Wi-Fi networks, an offline node of the Wi-Fi network, instability of the Wi-Fi network, congestion in the Wi-Fi network, and interference in the Wi-Fi network; determining the Wi-Fi metric based alarms based on the analyzing; and performing one or more actions based on the determined Wi-Fi metric based alarms.

Intelligent monitoring systems and methods for Wi-Fi metric-based alarms for cloud based Wi-Fi networks

System and methods include obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks, the customer data including call-ins made by customers; aggregating and filtering the data; analyzing the aggregated and filtered data including correlating the call-ins made by customers to the Wi-Fi network data; predicting customer call-ins based on correlations made between the call-ins made by customers and the Wi-Fi network data; and initiating a customer outreach workflow prior to a predicted customer call-in.

Intelligent monitoring systems and methods for wi-fi metric-based predictions for cloud based wi-fi networks

System and methods for managing a Wi-Fi network of a plurality of Wi-Fi networks from a cloud-based Network Operations Control (NOC) dashboard include, subsequent to creating an account for a user of the Wi-Fi network, receiving data associated with the Wi-Fi network from the one or more access points; providing a display associated with the Wi-Fi network based on the data, wherein the display comprises a network topology and one or more tabs providing information related to operation of the Wi-Fi network; updating the display based on one or more inputs received, wherein the updating updates one or more of the network topology and the one or more tabs; and performing one or more operations via the NOC dashboard to one of manage, control, and troubleshoot the Wi-Fi network.

Network operation center dashboard for cloud-based Wi-Fi systems

Intelligent monitoring systems and methods for Wi-Fi metric-based predictions for cloud-based Wi-Fi networks

Systems and methods include obtaining measurements from a Wi-Fi network that includes i) a plurality of access points interconnected to one another and at least one connected to a gateway, and ii) a plurality of Wi-Fi client devices that each connect to an access point of the plurality of access points; learning usage patterns in the Wi-Fi network through analysis with one or more machine learning algorithms; and providing a configuration to the Wi-Fi network based on the learned usage pattern where the configuration includes a topology of the plurality of access points.

Cloud-based control of a Wi-Fi network

System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data based on one or more use cases; determining any of predictions and alerts for the one or more use cases based on the analyzing; and performing one or more actions based on the any of predictions and alerts.

Intelligent monitoring systems and methods for cloud-based Wi-Fi

Disclosed are systems and methods that provide a computerized application management framework that adaptively configures application usage and/or network parameters/characteristics at a location based on determined intelligence about the network, devices executing therein/therearound and behavioral patterns of users in/around the location. 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 applications are to be prioritized, and/or ii) which devices operating such applications should be prioritized. Thus, the framework provides mechanisms for dynamically managing operations of devices connected to a network and applications executing on such devices that rely on such network connection, such that their network usage can be adaptively controlled to ensure network stability and integrity for prioritized operations.

Computerized systems and methods for application prioritization during runtime

Intelligent monitoring systems and methods for Wi-Fi metric-based alarms for cloud-based Wi-Fi networks

A Wi-Fi network includes one or more access point devices configured to connect to one or more devices; wherein the Wi-Fi network is designated by a Service Set Identifier (SSID); wherein each Wi-Fi client device accesses the Wi-Fi network using the SSID and a key of a plurality of keys each being a password or certificate for the Wi-Fi network; and wherein each of the plurality of keys designates an access zone of a plurality of access zones each defining rules for network and/or device access such that the one or more access point devices provide selective access based on which of the plurality of keys is used for each of the one or more devices.

Controlled guest access to Wi-Fi networks

Systems and methods include, responsive to a Wi-Fi client device providing a password for a zone of a Wi-Fi network, determining a status of the Wi-Fi client device; when the status is unknown, placing the client device in a holding area associated with the zone, wherein the client device is connected to the Wi-Fi network while in the holding area and has restricted access that is less than full access to the zone in an allowed zone; responsive to placing the client device in the holding area, causing a notification to an administrator that the client device is in the holding area; and with the client device in the holding area, one of moving the Wi-Fi client device to the allowed area, moving the client device to a rejected area for the zone, and leaving the client device in the holding zone, based on any input or lack thereof.

Access to Wi-Fi networks via two-step and two-party control

Growing community of inventors

Richardson, TX, United States of America

Adam R Hotchkiss