Abstract: Systems and methods for partitioning radio spectrum in an AP to support a mixed client environment while maintaining efficient 802.11ax transmissions is provided. Clients in a zone may be categorized into 802.11ax and legacy clients, and those clients may further be categorized into a majority population and a minority population. Assignment of the minority and majority populations can be effectuated by considering the number of available channels to be assigned to each population of client devices, as well as steering load/cost and a client device's ability to be steered to another channel. Moreover, assignment of the minority and majority populations can take into account maintaining a particular client-channel density.

Abstract: Systems and methods are provided for optimizing the channel switching process in an access point. Periodic background scanning of a current channel on which a radio is operating to determine channel utilization can be used to generate a ranked channel list from which to select an alternative channel to which the radio can migrate, for example, in the event of a radar signal(s) being detected on its current channel. To maintain connectivity for clients, the clients may be temporarily transitioned to a non-DFS channel while an isolated/dedicated radio chain is used to perform the requisite Channel Availability Check (CAC) assessment on a DFS channel if the radio, based on the ranked channel list, selects a DFS channel as the alternative channel.

Abstract: Operation of a wireless network access point (AP) to communicate with a first set of one or more wireless client devices using a wireless protocol in which spatial reuse of channels is supported via at least a dynamically configurable basic service set (BSS) identifier of the wireless AP. The BSS identifier is utilized to identify overlapping BSSs (OBSSs). A first set of one or more wireless client devices communicate using a wireless protocol in which spatial reuse of channels is supported via at least a dynamically configurable BSS identifier of the wireless AP. The BSS identifier is utilized to identify OBSSs. Unauthorized network activity is detected based on the BSS identifier and a received BSS identifier associated with the received transmissions. A dynamic adjustment is made to one of the BSS identifiers of the AP or the received BSS identifier in response to detected unauthorized network activity.

Abstract: Described herein are systems, devices, techniques and products for managing the dynamic assignment of media access control (MAC) addresses to wireless network devices, such as by identifying a dynamically assigned MAC address before, after, or during a wireless association process and communicating the dynamically assigned MAC address to a wireless network device. Also disclosed are systems, devices, techniques and products for preventing a denial of service attack on a wireless access point's association table, such as by requiring devices that associate with a wireless access point to respond to a query from the wireless access point shortly after association.

Abstract: Examples described herein mitigate adjacent channel interference for dual radios of a network device. Examples described herein may associate, by a network device, a first client device with a first radio of the network device, associate, by the network device, a second client device with a second radio of the network device, determine that the first and second client devices are within a steering threshold, and based on the determination that the first and second client devices are within the steering threshold, steer, by the network device, the second client device from the second radio to the first radio. Examples described herein may communicate, using the first radio of the network device, with the first and second client devices.

Abstract: An example non-transitory computer readable medium comprising instructions executable by a processor to: determine a channel distribution vector based on a channel priority for a plurality of available wireless channels within a wireless network; receive a set of constraints on a channel plan; determine a channel plan meeting the set of user defined constraints based on the channel distribution vector; and transmit the channel plan to a plurality of radios on the wireless network, wherein the channel plan comprises a channel assigned to each radio of the plurality of radios.

Abstract: Architectures and techniques to manage resources in a wireless access point. A first set of weights is associated with connected wireless client devices. The first set of weights includes at least one weight for each of the connected wireless client devices. Space is allocated within the packet monitoring buffer to capture packet information for the connected wireless devices using the first set of weights. An indication of an event of interest is received. A second set of weights is associated with the connected wireless client devices. The second set of weights includes at least one weight for each of the connected wireless client devices in response to the indication of the event. Space is allocated within the packet monitoring buffer to capture packet information for the connected wireless devices using the second set of weights.

Abstract: Embodiments are directed to automatic location of access points in a network. An embodiment of one or more non-transitory computer-readable storage mediums includes instructions for transmitting a request from a computing device to multiple access points in a network to determine a distance between each pair of access points of the multiple access points; receiving at the computing device the determined distances between each pair of access points; generating a proximity matrix containing the determined distances between each pair of access points; solving the proximity matrix to automatically generate a set of locations for the multiple access points; and orienting the generated set of locations for the multiple access points based on known locations of one or more anchor points in a subset of the access points.

Abstract: Systems and methods for uplink Resource Unit scheduling include receiving, by a network device and from each of a plurality of stations, a status of a buffer, determining for each of the plurality of stations, by the network device, whether the status of the buffer of a particular station exceeds a first threshold, a second threshold, or neither the first threshold or the second threshold, in response to the buffer of the particular station exceeding the first threshold, scheduling the particular station using Uplink Multi-User Multiple Input Multiple Output, in response to the buffer of the particular station exceeding the second threshold, scheduling the particular station using a scheduled RU, and in response to the buffer exceeding neither the first threshold or second threshold, scheduling the particular station using a random-access resource unit (RA-RU).

Abstract: Embodiments are directed to intelligent scheduling of Wi-Fi services for applications. An embodiment of computer-readable storage mediums includes instructions for receiving data packets from multiple connected devices at a wireless access point and identifying an application traffic flow for each data packet; assigning each data packet to a respective queue of a first set of queues based on an identified application traffic flow for each data packet; selecting data packets from the first set of queues based on priorities for each of multiple applications; generating prioritized candidate lists for selected data packets in a second set of queues, each queue being dedicated for an access category for one or more application; and scheduling data packets from the candidate lists, including selecting a transmission mode for each access category based on characteristics of the one or more applications.

Abstract: An example network information aggregator is disclosed. The network information aggregator includes a network interface, a memory, and processing circuitry. The processing circuitry is to receive a machine learning model trained using initialization data from a model creation device. The processing circuitry is also to generate a device steering rule to steer a client device from a first radio to a second radio using the machine learning model. The processing circuitry is also to send a steer command to the first radio.

Abstract: Described herein are systems, devices, techniques and products for managing the dynamic assignment of media access control (MAC) addresses to wireless network devices, such as by identifying a dynamically assigned MAC address before, after, or during a wireless association process and communicating the dynamically assigned MAC address to a wireless network device. Also disclosed are systems, devices, techniques and products for preventing a denial of service attack on a wireless access point's association table, such as by requiring devices that associate with a wireless access point to respond to a query from the wireless access point shortly after association.

Abstract: Systems and methods are provided for optimizing channel bandwidth while increasing downlink multi-user, multiple-input, multiple-output (DL MU-MIMO) gain. Depending on the access point (AP) platform, for example, APs exhibit certain characteristics regarding DL MU-MIMO gain as a function of the number of DL MU-MIMO clients associated to the AP. Accordingly, APs can be configured to operate in accordance with an algorithm that checks the number of DL MU-MIMO capable clients are associated to an AP, and dynamically switch between single- and dual-radio modes of operation to take advantage of those DL MU-MIMO gains.

Abstract: Examples described herein provide single and dual radio modes by a network device. Examples may include configuring a network device to communicate with a plurality of client devices using one of a single radio mode and a dual radio mode. Examples may include, based on a relation between a first amount of traffic received by the network device from a first subset of the client devices and a second amount of traffic received by the network device from a second subset of the client devices, reconfiguring the network device to communicate with the plurality of client devices using the other one of the single radio mode and the dual radio mode. Examples may include communicating, by the network device, with the plurality of client devices using the other one of the single radio mode and the dual radio mode.

Abstract: Embodiments are directed to intelligent scheduling of Wi-Fi services for applications. An embodiment of computer-readable storage mediums includes instructions for receiving data packets from multiple connected devices at a wireless access point and identifying an application traffic flow for each data packet; assigning each data packet to a respective queue of a first set of queues based on an identified application traffic flow for each data packet; selecting data packets from the first set of queues based on priorities for each of multiple applications; generating prioritized candidate lists for selected data packets in a second set of queues, each queue being dedicated for an access category for one or more application; and scheduling data packets from the candidate lists, including selecting a transmission mode for each access category based on characteristics of the one or more applications.

Abstract: Systems and methods for dynamic client segregation in 802.11ax networks includes determining, for each access point of a plurality of access points in a network, a ratio comprising a number of fully uplink multi-user capable client devices to a total number of client devices connected to the access point; and steering, based on at least the ratio, client devices of the network to particular access points of the plurality of access points.

Abstract: An example network information aggregator is disclosed. The network information aggregator includes a network interface, a memory, and processing circuitry. The processing circuitry is to receive a machine learning model trained using initialization data from a model creation device. The processing circuitry is also to generate a device steering rule to steer a client device from a first radio to a second radio using the machine learning model. The processing circuitry is also to send a steer command to the first radio.

Abstract: A method including identifying that a client device is physically presented within a coverage area corresponding to a network is provided. The client device is associated with a user having a user credential to log in to the network, and the method includes determining that the client device has not requested to log in to the network using the user credential, and generating an alert to an administrator of the network responsive to both (1) that the client device is physically presented within the coverage area and (2) that the client device has not requested to log in to the network.

Abstract: An access point providing a client device with access to a communication network detects an anomaly in packet traffic being transmitted to or received from the client device. In response, the access point performs a packet capture by triggering the release of stored packets. The access point determines an anomaly type representing a root cause of the anomaly and annotates the packet capture with the anomaly type. The access point also detects radio frequency interference exceeding a prescribed threshold and, in response, performs a spectrum capture. The packet capture, annotated with the anomaly type, and the spectrum capture are reported either automatically or in response to a request.

Abstract: Architectures and techniques to manage resources in a wireless access point. A first set of weights is associated with connected wireless client devices. The first set of weights includes at least one weight for each of the connected wireless client devices. Space is allocated within the packet monitoring buffer to capture packet information for the connected wireless devices using the first set of weights. An indication of an event of interest is received. A second set of weights is associated with the connected wireless client devices. The second set of weights includes at least one weight for each of the connected wireless client devices in response to the indication of the event. Space is allocated within the packet monitoring buffer to capture packet information for the connected wireless devices using the second set of weights.