Cisco Technology, Inc.

Joshua David Suhr

John Matthew Swartz

Matthew Aaron Silverman

Jerome Henry

Vishal Satyendra Desai

Robert E Barton

Paul Jeffrey Stager

Jonathan S Leary

Ramit Kanda

Vasudha Venkataraman

Brian Donald Hart

Indermeet Singh Gandhi

Fred Jay Anderson

Vinay Saini

John Martin Blosco

Tak Ming Pang

Techniques herein facilitate dynamic configuration of a wireless local area network (WLAN) for large public venue (LPV) environments. In one example, a method may include providing an initial configuration for access points APs of a WLAN for an event at an LPV based on a profile for the event, a location of each AP for the venue, and anticipated demand at the APs; determining, for a particular time for the event, a distribution of wireless devices and channel support capabilities of the wireless devices different locations for the LPV; and providing an updated configuration for one or more APs at the one or more locations for the venue based on the distribution of the wireless devices and the channel support capabilities of the wireless devices determined for the particular time for the event at the LPV.

Dynamic wireless local area network configuration in large public venue environments

Techniques for wireless network management are provided. A set of characteristics data for a plurality of different wireless networks in a common physical space is collected, and it is determined, based on the set of characteristics data, that the plurality of wireless networks are experiencing spectrum contention. A set of radio frequency (RF) parameter modifications is generated based on the set of characteristics data, and one or more of the plurality of wireless networks are instructed to implement the set of RF parameter modifications. A second set of characteristics data is collected for the plurality of wireless networks.

Wireless network contention reduction through dynamic radio frequency parameters

Techniques for collecting telemetry data, indicating usage of a computing-based solution hosted in a computing resource network, to ascertain a stage of progression through an experience lifecycle for the computing-based solution, and to generate data for populating lifecycle templates with content for progressing from the stage to which the user account has progressed to the next stage of the experience lifecycle, to include on a user interface for display on a computing device associated with a user account. A software agent executing on a node in the computing resource network may collect the telemetry data to provide to a Software-Defined Networking (SDN) controller disposed in the same network. The SDN controller may transmit the telemetry data to a service provider network, where the data is utilized to determine lifecycle data for generating a user portal to present on the computing device associated with the user account.

Analyzing telemetry data to track progress through an experience lifecycle and provide intelligent lifecycle-based information for computing solutions

The present disclosure provides systems and methods for dynamically adjusting cell coverage sensitivity to address asymmetry of wireless cells that affect upstream and downstream traffic mismatch. In one aspect, a method includes estimating, at a network controller, one or more packet demodulation thresholds for an access point; sending, by the network controller, the one or more packet demodulation thresholds to the access point; receiving, from the access point, collected statistic, the collected statistics being link performance characteristics between the access point and one or more endpoints associated with the access point measured by one or more sensors associated with the access point; updating, at the network controller, the one or more packet demodulation thresholds based on the collected statistics to yield an updated packet demodulation threshold; and configuring, by the network controller, the access point with the updated demodulation threshold.

Systems and methods for automatic adjustment of cell edge sensitivity

Techniques for automated network adjustment are provided. A first data rate currently supported by a first access point is determined, and a second data rate is identified to be evaluated. A first sensor device of a plurality of sensor devices is identified, where a signal strength between the first sensor device and the first access point exceeds a predefined threshold. A first packet error rate is determined for communications between the first sensor device and the first access point using the first data rate, and a second packet error rate is determined for communications between the first sensor device and the first access point using the second data rate. Upon determining that the second packet error rate is lower than the first packet error rate, the first access point is automatically reconfigured to use the second data rate.

Automated adjustment of network parameters based on sensor statistics

Noise floor degradation detection may be provided. First, an incremental packet loss rate for a secondary radio may be calculated that indicates an impact on packet reception on the secondary radio due to transmissions by a primary radio. The secondary radio and the primary radio may comprise an access point. Next, it may be determined that the incremental packet loss rate is greater than a predetermined value. A configuration of the access point may be changed in response to determining that the incremental packet loss rate is greater than the predetermined value.

Noise floor degradation detection for co-located radios

In response to receiving a probe request from a mobile client, an access point determines whether it should suppress a probe response. The access point receives a probe request from a wireless client device, and prepares a probe response to respond to the probe request. The access point determines whether the wireless client device is likely to associate with the wireless access point. Responsive to a determination that the wireless client device is unlikely to associate with the wireless access point, the access point suppresses the transmission of the probe response.

Probe response suppression

Apparatus and techniques are presented for estimating a noise floor experienced by a client device seeking to associate with an access point in a wireless network. A path loss between the client device and the access point may be estimated. A metric may then be generated, where the metric estimates a strength of a signal transmitted from the access point as received at the client device. The transmit power at the access point may then be adjusted, based on the metric.

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Lenexa, KS, United States of America

Joshua David Suhr