Cisco Technology, Inc.

Salvatore Valenza

Domenico Ficara

Arun G Khanna

Vincent Cuissard

Taha Hajar

Kasi Nalamalapu

Stefano Ferrari

Nikodin Ristanovic

Sudhir Kumar Jain

Amine Choukir

Alessandro Erta

Roberto Muccifora

Loris Gazzarrini

Matthew Aaron Silverman

Samer Salam

Luca Bisti

Samer M Salam

Leo Caldarola

Pascal Thubert

James Frank Florwick

Davide Cuda

Mathieu Bastien Monney

Carlos M Pignataro

Eric Albin Voit

Anirban Karmakar

Thomas Vegas

Rupak Chandra

Antonio Trifilo

Min Se Kim

Valerio Di Gregorio

Hamsa Sankaran

In one embodiment, a mobile node in a wireless network determines a physical location of the mobile node. The mobile node obtains telemetry data. The mobile node makes a comparison between the physical location of the mobile node and a location-based telemetry reporting policy. The mobile node sends, based on the comparison, the telemetry data via the wireless network.

On-location telemetry subscriptions

Devices, systems, methods, and processes for managing network devices through generated predictions and associated confidence levels are described herein. Networks within a floorplan can be operated at full capacity all day in an inefficient way when not adjusted due to traffic patterns and seasonality changes. Data related to the topology of the network, along with historical data can be utilized to generate predictions of various network needs. For example, the overall network throughput capacity needs may be predicted for a series of points in the future. An associated confidence level can be generated as well including one or more confidence intervals. These can be utilized to select a future need for the network and generate a corresponding sustainable network configuration for the network devices and/or their transceivers that can provide sufficient network needs while minimizing the overall power used. This can be automated over time once trust has been established.

Client-aware floorplan management with predicted confidence levels

The present technology pertains to identifying one or more sub-components of one or more network devices in a network environment; disaggregating the one or more sub-components from corresponding network devices of the one or more network devices; monitoring one or more functional flows across the one or more sub-components on a sub-component basis to generate functional flow data associated with the one or more sub-components; and generating analytics of the network environment on a sub-component basis from the functional flow data.

Threat detection of application traffic flows

In one embodiment, a device sends data traffic to a gateway of a backhaul mesh network via a first wireless access point of the backhaul mesh network. The device maintains, while associated with the first wireless access point, an association with a second wireless access point of the backhaul mesh network by sending a frame to the first wireless access point that is relayed by the first wireless access point to the second wireless access point. The device makes a determination that additional data traffic should be sent to the gateway of the backhaul mesh network via the second wireless access point. The device sends, based on the determination, the additional data traffic to the gateway of the backhaul mesh network via the second wireless access point.

Maintaining multiple wireless associations via an over-the-wire relay

A system and a method to dynamically reprovision network devices may include a first network device configured to reprovision a second network device in accordance with a specific location of the second network device in a predefined area. The first network device may be configured to sense the second device at the specific location in the predefined area, identify reprovisioning parameters associated with the specific location, and provide the reprovisioning parameters to the second network device. In turn, the second network device may be configured to perform one or more roles associated with the specific location in the predefined area based at least in part upon information in the reprovisioning parameters.

Systems and methods to dynamically reprovision network devices in a predefined area

The present technology is directed to visualizing a Wi-Fi access point (AP) signal propagation pattern through multiple floors. The present technology can execute a Wi-Fi signal propagation model corresponding to a first AP on a first floor of a building plan and a second AP on a second floor of the building plan. The Wi-Fi signal propagation model calculates a Wi-Fi signal propagation pattern for a plurality of APs including the first AP and the second AP. The present technology can further present a visualization of the Wi-Fi signal propagation pattern for the plurality of APs, wherein the Wi-Fi signal propagation pattern for the first AP on the first floor of the building plan projects onto the second floor of the building plan.

Three-dimensional visualization of Wi-Fi signal propagation through multiple floors

The present technology is directed to providing a 3-D visualization of a Wi-Fi signal propagation pattern based on telemetry data. The present technology can receive telemetry data for a Wi-Fi access point located at a location of a building plan in a Wi-Fi visualization system, store the telemetry data with a timestamp, determine a change in a Wi-Fi coverage for the Wi-Fi access point based on the telemetry data, and present a visualization illustrating the change in the Wi-Fi coverage for the Wi-Fi access point. The present technology can further present an animation of the change in the Wi-Fi coverage for the Wi-Fi access point based on the stored telemetry data.

Three-dimensional visualization of Wi-Fi signal propagation based on telemetry data

In one embodiment, a gateway to a Layer-3 network forms a first Layer-2 tunnel between the gateway and a first wireless access point (AP) that communicates wirelessly with a first mobile node of a mobile system (MS) via a first wireless connection. The gateway generates a mapping that associates an onboard device of the MS with the first AP and an identifier for the MS, based on traffic conveyed via the first Layer-2 tunnel and associated with the onboard device, the traffic comprising a header that indicates the identifier for the MS. The gateway receives, from a second AP, an indication that the MS is roaming from the first wireless connection to a second wireless connection, the indication including the identifier for the MS. The gateway updates the mapping to associate the onboard device of the MS with a second AP, based on the indication that the MS is roaming.

Wireless backhauling system using a mono-tunnel for fast-moving mobile domains

The present disclosure is directed to 3-D visualization of wireless signal propagation representing wireless signal strength and interference in 3-D space. The present technology can identify a plurality of access points (APs) in the 3-D space, determine a wireless signal strength for each of the plurality of APs, and determine an interference with the wireless signal strength of each of the plurality of APs, wherein the interference is caused by a neighboring AP of the plurality of APs in the 3-D space. The present technology can further present a 3-D visualization of a wireless signal propagation pattern representing the wireless signal strength from each of the plurality of APs in the 3-D space and the interference from the neighboring AP.

Simulation of Wi-Fi signal propagation in three-dimensional visualization

In one embodiment, a mobile system scans wireless channels for any upcoming access points using a dedicated monitor radio of the mobile system. The mobile system identifies a particular wireless channel in use by an upcoming access point. The mobile system notifies a second radio of the mobile system of the particular wireless channel. The mobile system performs a handoff between a current access point and the upcoming access point in part by switching the second radio of the mobile system to the particular wireless channel of the upcoming access point.

Throughput and wireless channel interference mitigation for mobile systems

The present technology is directed to visualizing a Wi-Fi signal propagation in 3-D at various heights and locations. The present technology can calculate a radio frequency (RF) propagation pattern for a Wi-Fi access point (AP) based on a RF propagation model for the Wi-Fi AP and overlay the RF propagation pattern for the Wi-Fi AP over a visualization of the building plan to present a 3-D visualization of the RF propagation pattern of the 3-D space. In particular, the present technology can project a plurality of ray-paths in various directions in a 3-D space originated from the Wi-Fi AP and determine whether the ray-paths interface with objects defined in the building plan. The present technology can segment the respective ray-path into contiguous segments of substantially uniform mediums for each ray-path that interface with the objects and determine a RF signal strength at points along the contiguous segments of the ray-paths.

Three-dimensional visualization of Wi-Fi signal propagation

In one embodiment, a device identifies a path of travel of a mobile system. The device subdivides the path of travel into a plurality of zones. The device generates time-slotted channel hopping schedules for the plurality of zones, each time-slotted channel hopping schedule having an associated zone among the plurality of zones. The device causes the mobile system to communicate wirelessly with networking infrastructure located along the path of travel, in accordance with a particular one of the time-slotted channel hopping schedules while the mobile system is located in its associated zone.

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Pomy, Switzerland

Salvatore Valenza