Abstract: In one embodiment, an illustrative method herein may comprise: obtaining, by a process, operational performance metrics associated with one or more devices performing an operation and contemporaneous situational sensor data associated with the one or more devices performing the operation; establishing, by the process, a correlation between a health of the operational performance metrics and the contemporaneous situational sensor data for the one or more devices while performing the operation; determining, by the process, an adjustment to increase the health of the operational performance metrics for a particular device of the one or more devices based on the correlation; and communicating, by the process, the adjustment to a receiving device to facilitate adjusting of the particular device.

Abstract: Embodiments for virtual reality (VR) and augmented reality (AR) scenes updates at VR/AR devices in a network are described. Network traffic for the scene updates is divided into traffic layers such as coarse grain (CG) layer traffic and a fine grain (FG) layer traffic for a give VR/AR scene update. The CG layer traffic is scheduled first in resource units (RUs) of a plurality a transmission opportunity (TXOP) for a VR device and FG layer traffic is scheduled in remaining RUs during the TXOP to provide synchronous viewing experiences to users of the VR/AR devices.

Abstract: Embodiments for virtual reality (VR) and augmented reality (AR) scenes updates at VR/AR devices in a network are described. Network traffic for the scene updates is divided into traffic layers such as coarse grain (CG) layer traffic and a fine grain (FG) layer traffic for a give VR/AR scene update. The CG layer traffic is scheduled first in resource units (RUs) of a plurality a transmission opportunity (TXOP) for a VR device and FG layer traffic is scheduled in remaining RUs during the TXOP to provide synchronous viewing experiences to users of the VR/AR devices.

Abstract: Preserving transmission properties of real-time scenes in an environment when an increasing number of users join a session may be provided. A plurality of metrics associated with transmission of scenes having a Coarse Grain (CG) layer and a Fine Grain (FG) layer may be determined. Then a current client, based on a first one of a plurality of metrics, may be revoked. One of the following may then be performed: blocking a new client based on a second one of a plurality of metrics; and allowing the new client based on the second one of a plurality of metrics.

Abstract: In one embodiment, an illustrative method herein may comprise: determining, by a process, a directed acyclic graph that defines pathways of telemetry metrics for a given observed system; processing, by the process, telemetry metrics received from distributed sources to detect and localize a problem from the telemetry metrics; consulting, by the process, the directed acyclic graph to find one or more common pathways of the directed acyclic graph that relate to the problem against all other pathways of the directed acyclic graph to establish a reduced telemetry search space corresponding to the one or more common pathways; and enabling, by the process, a root cause analysis operation for the problem based on the reduced telemetry search space.

Abstract: Preserving transmission properties of real-time scenes in an environment when an increasing number of users join a session may be provided. A plurality of metrics associated with transmission of scenes having a Coarse Grain (CG) layer and a Fine Grain (FG) layer may be determined. Then a current client, based on a first one of a plurality of metrics, may be revoked. One of the following may then be performed: blocking a new client based on a second one of a plurality of metrics; and allowing the new client based on the second one of a plurality of metrics.

Abstract: In one embodiment, a method in a multi-tenant wireless network comprises determining a first user private network (UPN) for a first device of a first user. The first UPN provides discovery, by the first device, of other devices on the wireless network to a first subset of other devices on the wireless network. The method further comprises determining a second UPN for the first device of the first user. The second UPN provides discovery, by the first device, of other devices on the wireless network to a second subset of other devices on the wireless network. The method further comprises providing discovery of the first subset and second subset of other devices on the wireless network to the first device of the first user. Discovery of the second subset is provided dynamically based on a current location of the first device.

Abstract: Embodiments for virtual reality (VR) and augmented reality (AR) scenes updates at VR/AR devices in a network are described. Network traffic for the scene updates is divided into traffic layers such as coarse grain (CG) layer traffic and a fine grain (FG) layer traffic for a give VR/AR scene update. The CG layer traffic is scheduled first in resource units (RUs) of a plurality a transmission opportunity (TXOP) for a VR device and FG layer traffic is scheduled in remaining RUs during the TXOP to provide synchronous viewing experiences to users of the VR/AR devices.

Abstract: Aspects herein generally relate to a system and/or a method for enforcing synchronization of WiFi users interacting with a common hierarchical multi-element VR/AR scene. The aspects can use Orthogonal Frequency Division Multiple Access (OFDMA) and trigger frames to synchronize parallel updates to different scene elements. Deep Packet Inspection (DPI) can be used to analyze standard VR/AR streaming formats to identify those VR scene elements that are to be synchronized. The result is a more immersive AR/VR experience for the users, who receive the same scene elements at the same time.

Abstract: Preserving transmission properties of real-time scenes in an environment when an increasing number of users join a session may be provided. A plurality of metrics associated with transmission of scenes having a Coarse Grain (CG) layer and a Fine Grain (FG) layer may be determined. Then a current client, based on a first one of a plurality of metrics, may be revoked. One of the following may then be performed: blocking a new client based on a second one of a plurality of metrics; and allowing the new client based on the second one of a plurality of metrics.

Abstract: In one embodiment, a method in a multi-tenant wireless network comprises determining a first user private network (UPN) for a first device of a first user. The first UPN provides discovery, by the first device, of other devices on the wireless network to a first subset of other devices on the wireless network. The method further comprises determining a second UPN for the first device of the first user. The second UPN provides discovery, by the first device, of other devices on the wireless network to a second subset of other devices on the wireless network. The method further comprises providing discovery of the first subset and second subset of other devices on the wireless network to the first device of the first user. Discovery of the second subset is provided dynamically based on a current location of the first device.

Abstract: Aspects herein generally relate to a system and/or a method for enforcing synchronization of WiFi users interacting with a common hierarchical multi-element VR/AR scene. The aspects can use Orthogonal Frequency Division Multiple Access (OFDMA) and trigger frames to synchronize parallel updates to different scene elements. Deep Packet Inspection (DPI) can be used to analyze standard VR/AR streaming formats to identify those VR scene elements that are to be synchronized. The result is a more immersive AR/VR experience for the users, who receive the same scene elements at the same time.

Abstract: A method comprises obtaining a wireless channel variance value. The wireless channel variance value is indicative of a degradation to a specified bandwidth of the wireless channel as a function of conditions of the wireless channel. The method further includes determining a reliably usable bandwidth value of the wireless channel as a function of the wireless channel variance value. The method further includes determining a data frame transmission rate associated with a particular application running on the client device, wherein the data frame transmission rate is constrained by a function of the reliably usable bandwidth value and a quality of experience (QoE) level value.

Abstract: In one illustrative example, a wireless access point (AP) for use in a wireless network is configured to receive data packets of a multimedia traffic flow (e.g. a video flow) intended for delivery to a wireless mobile device in the wireless network. If an incoming data rate of the data packets is too large, wireless collisions and interference in the wireless network may be prevalent. Accordingly, a traffic shaping process may be performed on the data packets, where the data packets are queued in a buffer and scheduled for output from the buffer at a target data rate. The target data rate may be derived from the incoming data rate and one or more communication-related parameters (e.g. channel utilization) associated with the flow.

Abstract: A method comprises obtaining a wireless channel variance value. The wireless channel variance value is indicative of a degradation to a specified bandwidth of the wireless channel as a function of conditions of the wireless channel. The method further includes determining a reliably usable bandwidth value of the wireless channel as a function of the wireless channel variance value. The method further includes determining a data frame transmission rate associated with a particular application running on the client device, wherein the data frame transmission rate is constrained by a function of the reliably usable bandwidth value and a quality of experience (QoE) level value.