Abstract: Examples described herein include receiving an indicator of the quality of a wireless signal between an access device and a computing device, determining an upper data transfer rate from the indicator, and determining a range of data transfer rates. The range may include the upper data transfer rate and a second data transfer rate. Examples disclosed herein also include evaluating a throughput at the upper data transfer rate based on an error rate at the upper data transfer rate and evaluating a throughput at the second data rate based on an error rate at the second data transfer rate. Examples disclosed herein also include determining a peak data transfer rate within the range of data transfer rates based on the throughputs.

Abstract: An example system may comprise a millimeter wave (mmWave) transmitting device including instructions executable to: identify a plurality of mmWave signal transmission paths from the mmWave transmitting device to a receiving device; collect a channel measurement for each beam of a first portion of beams available at the mmWave transmitting device at each signal transmission path of the plurality of mmWave signal transmission paths; determine a plurality of properties of each signal transmission path of the plurality of mmWave signal transmission paths utilizing the corresponding channel measurements; predict, based on the plurality of properties, a signal metric for a second portion of the beams; and select, based on the predicted signal metric, a beam from the beams to be utilized to transmit a signal to the receiving device.

Abstract: In some examples, a computing device may comprise a processing resource and a memory resource storing machine-readable instructions to cause the processing resource to proactively identify a line-of-sight (LOS) blockage of a network signal transmitted on a millimeter-wave link, and reroute network traffic from the millimeter-wave link to a wireless local area network (WLAN) transmission channel in response to identifying the LOS blockage of the network signal.

Abstract: Example implementations may relate to an occupancy sensing system. For example, the occupancy sensing system may collect connection data and traffic data related to electronic devices that connect to the networking device. The occupancy sensing system may determine a number of resident devices and a number of high-traffic devices, based on the connection data or the traffic data. The occupancy sensing system may determine a number of the electronic devices that are coactive within an analysis time window, and may constrain the number of coactive electronic devices to a range from the number of high-traffic devices to the number of resident devices to generate an occupancy value.

Abstract: An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with client devices. The control circuitry may determine signal-to-interference-plus-noise ratios (SINRs) for the client devices based on compressed client-side channel state information received from the client devices. The control circuitry may select, based on the SINRs and in consideration of multiple possible bandwidth settings, a set of multi-user-multiple-input-multiple-output (MU-MIMO) groups each with an assigned bandwidth setting.

Abstract: An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with client devices. The control circuitry may determine signal-to-interference-plus-noise ratios (SINRs) for the client devices based on compressed client-side channel state information received from the client devices. The control circuitry may assign the client devices to multi-user-multiple-input-multiple-output (MU-MIMO) groups based on the SINRs.

Abstract: In some examples, a system can include a processing resource and a memory resource. The memory resource can store machine readable instructions to cause the processing resource to: (1) collect feedback from a physical (PHY)-layer of a client at a plurality of access points, before the client is associated with any one of the plurality of access points and (2) select an access point using a client channel correlation value calculated from the PHY-layer feedback, wherein the selected access point serves the client and a client group concurrently using precoding.

Abstract: An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with multiple receiver antennas concurrently via multiple transmit antennas. The control circuitry may execute an adaptive sounding process that may include, for each client connected to the communications device, performing a follow-up sounding for the client in response to determining that all of the following conditions are jointly satisfied: (a) a wireless channel of the client has significantly changed, as determined based on a channel correlation metric; (b) a wireless throughput has significantly decreased, as determined based on a throughput gradient metric; and (c) the client had a significant amount of recent traffic, as determined based on a traffic metric.

Abstract: Examples described herein relate to adapting a radio of a millimeter-wave device. In some such examples, the millimeter-wave device is to include a first radio to operate at a first beam direction based on a first set of channel state information (CSI). The millimeter-wave device is also to include a second radio to measure a second set of CSI. The millimeter-wave device is then to include a set of instructions to adapt the first radio to operate at an adapted beam direction based on a third set of CSI. The third set of CSI is to include a signal strength at the adapted beam direction that the millimeter-wave device is to determine based on the first set of CSI and the second set of CSI.

Abstract: An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with multiple receiver antennas concurrently via multiple transmit antennas. The control circuitry may execute an adaptive sounding process that may include, for each client connected to the communications device, performing a follow-up sounding for the client in response to determining that all of the following conditions are jointly satisfied: (a) a wireless channel of the client has significantly changed, as determined based on a channel correlation metric; (b) a wireless throughput has significantly decreased, as determined based on a throughput gradient metric; and (c) the client had a significant amount of recent traffic, as determined based on a traffic metric.

Abstract: In some examples, a method includes estimating a signal-to-interference-plus noise ratio (SINR) value between a wireless client and each Access Point (AP) of a plurality of APs based on Channel State Information (CSI) between the wireless client and each AP of the plurality of APs and selecting an AP of the plurality of APs to be associated with the wireless client based on a channel bandwidth of the wireless client and the estimated SINR value between the wireless client and each AP of the plurality of APs.

Abstract: An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with client devices. The control circuitry may determine signal-to-interference-plus-noise ratios (SINRs) for the client devices based on compressed client-side channel state information received from the client devices. The control circuitry may select, based on the SINRs and in consideration of multiple possible bandwidth settings, a set of multi-user-multiple-input-multiple-output (MU-MIMO) groups each with an assigned bandwidth setting.

Abstract: An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with multiple receiver antennas concurrently via multiple transmit antennas. The control circuitry may execute an adaptive sounding process that may include, for each client connected to the communications device, performing a follow-up sounding for the client in response to determining that all of the following conditions are jointly satisfied: (a) a wireless channel of the client has significantly changed, as determined based on a channel correlation metric; (b) a wireless throughput has significantly decreased, as determined based on a throughput gradient metric; and (c) the client had a significant amount of recent traffic, as determined based on a traffic metric.