Plume Design, Inc.

Yoseph Malkin

William John McFarland

Nipun Agarwal

Adam R Hotchkiss

Sandeep Eyyuni

Na Hyun Ha

Yusuke Sakamoto

Richard Chang

Sai Pradeep Venkatraman

William J McFARLAND

Patrick Hanley

Rohit Thadani

Paul White

Liem Hieu Dinh Vo

Jeffrey ChiFai Liew

Duc Minh Nguyen

Sachin Vasudeva

Nora Yan

Matej Zevnik

Ali Wahid

Miroslav Samardzija

Manikanden Balakrishnan

Brian Nam

Ming-Tsung Su

William Mcfarland

Seth Kaplan

Irene Yang

Michal Kazior

Shu-Chun Shen

Prashant Jadhav

Qizheng Sheng

Samuel Crockett

Janusz Dziedzic

Mojmir Tuljak

Soner Ozgur

Guan-Heng Chen

Hiroshi Mendoza

Robert J Miller

Jeffrey Chaifai Liew

Systems and methods are provided for automatically provisioning customer-specific credentials on a gateway device, Customer Premises Equipment (CPE), or the like. A method, according to one implementation, includes the step of determining when a remote gateway device is connected to a Point-to-Point Protocol over Ethernet (PPPoE) server via a network. The remote gateway device is intended to enable one or more user devices in a Local Area Network (LAN) to access the Internet via the network and PPPoE server. The method also includes the step of automatically configuring customer-specific PPPoE credentials on the remote gateway device to thereby enable the PPPoE server to authenticate the remote gateway device and grant Internet access.

Automatically configuring a gateway device arranged in a 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 for the network condition of each of the plurality of customers of one or more service providers; determining an internet service provider (ISP) outage based on a plurality of factors; and performing one of a plurality of resolution or notification actions.

Intelligent monitoring systems and methods for Wi-Fi metric-based ISP outage detection for cloud based Wi-Fi networks

A method, implemented in a router in a Communication Service Provider (CSP) network, includes connecting to a device via at least two connections where a first connection includes a first Wide Area Network (WAN) interface and a second connection includes a second WAN interface; receiving an encapsulated packet from one of the at least two connections where the encapsulated packet is destined for an Internet Protocol version 4 (IPv4) address on the Internet; and creating an IPv4 packet from the encapsulated packet by de-encapsulating the encapsulated packet and including an IPv4 public address in an IPv4 packet, wherein the IPv4 public address is associated with the router.

IPv4-in-IPv6 relaying systems and methods to preserve IPv4 public addresses

Systems and methods of frequency planning for a cellular gateway in a Wi-Fi network include connecting to cellular infrastructure at a cellular frequency; providing a Wi-Fi connection at a Wi-Fi frequency selected to coexist with the cellular frequency; and responsive to interference between the cellular frequency and the Wi-Fi frequency, performing one or more actions to reduce the interference.

Frequency planning for 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

Systems and methods for Wi-Fi network failover to cellular connection with throttling of traffic include detecting an outage on wired connections for any of the plurality of Wi-Fi networks; determining the any of the plurality of Wi-Fi networks have switched to a cellular connection as a failover based on the outage; and determining whether to throttle traffic on any cellular connection based on the failover and instructing corresponding gateways accordingly.

Wi-Fi network failover to cellular connection with throttling of traffic

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

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

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

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San Jose, CA, United States of America

Yoseph Malkin