Abstract: Techniques and apparatus for extending a range of a ranging procedure performed using ultra-wide band (UWB) are described. An example technique includes receiving, by a first network entity, control information for a ranging procedure via a non-ultra-wide band (non-UWB) communication protocol. The ranging procedure is performed by the first network entity with a second network entity based on the control information and via an ultra-wide band (UWB) communication protocol.

Abstract: Techniques for improved network management and troubleshooting are provided. A set of packets are received, indicating, for each respective station of a set of stations associated to an access point in a network, machine learning support provided by the respective station. A textual diagnostic prompt relating to network conditions of the network is transmitted by the access point and to at least a first station of the set of stations. A textual response to the diagnostic prompt is received by the access point and from the first station, where the first station generated the textual response based on processing the textual diagnostic prompt using a first machine learning model. One or more network settings are modified based on the textual response.

Abstract: Systems and techniques for dynamically optimizing a wireless network topology to minimize energy consumption while preserving user quality of experience (QoE) are described. An example technique includes determining a set of applications that have a target service level agreement (SLA). Network traffic is monitored from the set of applications being executed by one or more client STAs within a network. A topology of the network is dynamically adapted to reduce an amount of energy consumption in the network while maintaining a threshold amount of the network traffic that satisfies the target SLA, based on monitoring the network traffic.

Abstract: A method of selecting a rendezvous point access point (RPAP) in a cluster of access points (APs). The method includes operating a cluster of access points in a wireless local area network, wherein at least some of the access points operate in a BSS privacy enhancement (BPE) mode; and selecting one of the access points in the cluster of access points to operate as a rendezvous point access point (RPAP), wherein the selecting is based on information collected by the one of the access points while operating in the wireless local area network.

Abstract: Devices and methods for adaptively classifying network traffic associated with a new application are provided. A network device, for example, an edge device, stores a Machine Learning (ML) model pre-trained based on historical network traffic associated with a set of applications. The network device receives network traffic associated with a new application, for example, a zero-day application, that is different from the set of applications. The ML model learns one or more patterns associated with the received network traffic. The ML model detects whether the learned pattern(s) is similar to previously learned patterns of at least one application. The ML model classifies the received network traffic as legitimate traffic or anomalous traffic based on the detection. The ML model is scalable, providing timely classifications for different types of network traffic, while handling protocol and application diversity, variability in traffic patterns, and emergence of zero-day application traffic.

Abstract: In one embodiment, a method is performed by a non-access point station (STA) in a wireless network, the method comprising: recording, by the STA, a time measurement for occurrence of each of a plurality of ordered milestones associated with at least one of an onboarding process to an access point (AP) and a roaming process associated with the STA roaming from a serving AP to a target AP, wherein the plurality of ordered milestones comprise events spanning from a network discovery event to a network connectivity event; encoding information related to the time measurements for the plurality of ordered milestones into at least one field of a measurement report frame; and transmitting the measurement report frame to the AP or the target AP following completion of at least one of the onboarding process and the roaming process.

Abstract: A network function orchestrator (NFO) of a local area network (LAN) controller can configure multiple different tunnel endpoints in the LAN based on network traffic observed within the LAN. The NFO can monitor network traffic communicated from client devices and through access points in the LAN. The network traffic can be associated with multiple different destinations. The NFO can determine, based on the network traffic and using network topology data, network devices to serve as tunnel endpoints within the LAN. Different tunnel endpoints can be configured for use in connection with different traffic destinations. The NFO can communicate with the network devices and the access points to configure the LAN to use the different tunnel endpoints.

Abstract: Techniques that allow for sending encrypted data from an unauthenticated/unassociated wireless client device to an access point. In one embodiment, a method is provided that includes generating, by a wireless access point (AP), a cryptographic public key. The method includes providing, by the wireless AP, the cryptographic public key to an unauthenticated wireless client device. The method further includes receiving, by the wireless AP, from the unauthenticated wireless client device, a frame comprising data that was encrypted by the unauthenticated wireless client device using the cryptographic public key. This cryptographic public key may be used by unauthenticated wireless client devices to transmit, for example, an encrypted password identifier that can be used to authenticate the wireless client device using password identifier authentication techniques. The unauthenticated wireless client device may use the cryptographic public key to encrypt other data for transmission to an AP.

Abstract: Described herein are devices, systems, methods, and processes for improving the accuracy of fine timing measurement (FTM)-based ranging in wireless networks. An initiating device may select optimal transmit and receive chains for ranging measurements between the initiating device and a responding device. The selection can be based on the quality of the link between the devices, determined through the analysis of channel state information. The initiating device can further detect non-line-of-sight conditions and can apply correction factors to minimize the error caused by multipath reflections. The outcome is a more accurate estimate of the distance between devices, enhancing the precision of location determination in wireless networks, particularly in challenging indoor environments. Moreover, the initiating device may dynamically select the best transmit and receive chains as the initiating device ranges with different responding devices in various directions and orientations.

Abstract: The disclosed technology relates to a process of evaluating any number of different identity providers (IDPs) and their respective set of credentials that are used to authenticate corresponding users to assist with the onboarding of the different IDPs in connection with Wi-Fi identity federations. In particular, the process allows a person's electronic identity and attributes (stored across one or more IDPs) to be determined once using a standard. Once trust has been established for the user, that trust can then be utilized across a number of different systems (e.g., Single-sign on). The same trust determination can be used without the need for the authenticity of the user identity to be re-evaluated with each new access request.

Abstract: According to one or more embodiments of the disclosure, the techniques herein provide behavioral sequence modeling for predictive client anomaly detection in wireless networks. In one embodiment, an illustrative method herein may comprise: determining, by a device, a sequence of client interaction events associated with communication between a wireless access point and a client device; tokenizing, by the device, the sequence of client interaction events into behavioral tokens comprising protocol-state, timing, and radio-parameter representations; processing, by the device, the behavioral tokens using a transformer-based sequence model to generate a sequence-likelihood output; and detecting, by the device, an anomaly or predicted future anomaly trajectory based on the sequence-likelihood output.

Abstract: Devices, networks, systems, methods, and processes for scheduling transmissions from a plurality of ambient power devices are described herein. An Access Point (AP) may determine whether one or more ambient power devices are overlapping or non-overlapping based on one or more device characteristics associated with the one or more ambient power devices. The AP may transmit, to a wireless device, a charging instruction signal based on the one or more device characteristics. The one or more ambient power devices may receive one or more charging frames from the wireless device. The wireless device can receive one or more uplink frames and relay the one or more uplink frames to the AP. The AP may record the one or more charging frames, generate one or more charging profiles for the one or more ambient power devices, and develop an energy management strategy based on the one or more charging profiles.

Abstract: The present disclosure provides techniques for AID generation for enhanced data privacy (EDP) operations. An AP provides a first communication indicating that the AP supports a randomized MAC address rotation management protocol. The AP establishes a communications link between the AP and a STA, where establishing the communications link comprises assigning the STA to an EDP group. The AP generates a list of N AIDs for the STA, each of the N AIDs to be used in a corresponding epoch of N epochs associated with the EDP group. The AP transmits, to the STA in a protected wireless frame, information indicating the list of N AIDs for the STA. The AP maintains the communications link with the STA based at least in part on the timing information for randomized MAC address rotation for the EDP group, and including using each AID in the list of N AIDs during corresponding epochs.

Abstract: Security Association (SA) query to overcome Distribution System (DS) Media Access Control (MAC) address collisions may be provided. A client device may send to an Access Point (AP), a first association frame comprising a first over-the-air MAC address and a first DS MAC address. Next, the client device may receive from the AP in response to the association frame, an indication that the first DS MAC address is already in use. Then the client device may send to the AP in response to the indication that the first DS MAC address is already in use, an SA query that includes a transaction identifier. The client device may then receive from the AP in response to the SA query, an SA response that includes the transaction identifier. Next the client device may use the SA response to determine a status of an association with the AP.

Abstract: Disclosed methods and systems for efficiently gathering reports from stations coupled to an access point via a wireless network. In some cases, the reports may be attached to block acknowledge frames, which often occur. Alternatively, when multiple stations operate with assigned resource units during a transmission opportunity (TXOP), the reports are embedded in the spare capacity of a physical protocol data units used during the TXOP.

Abstract: Devices, systems, methods, and processes for accurately determining a location of a device are described herein. The device may receive Global Navigation Satellite System (GNSS) data from two satellites in two time periods. The device can determine two pseudo range differences corresponding to the two satellites. The device may further determine two contours based on the two pseudo range differences. An overlap between the two contours may be utilized by the device to determine the location. The device can also determine the location of the device based on a contour and an estimated location. The device may utilize a Global Positioning System (GPS) database, an Access Points (AP) database, or one or more servers to retrieve the estimated location. The device can further configure an operating frequency and an output power based on the location in real-time.

Abstract: Devices, networks, systems, methods, and processes for detecting and mapping Low Latency, Low Loss, and Scalable throughput (LAS) traffic are described herein. A device may determine that a data flow is LAS. The device can determine an initial Quality of Service (QoS) value associated with the data flow. The device may determine one or more network policies associated with one or more QoS levels. The device can determine a QoS ceiling value associated with a highest QoS level of the one or more QoS levels. The device may mark the data flow with the QoS ceiling value if the initial QoS value is lower than the QoS ceiling value, thereby mapping the data flow to the highest QoS level. The device can also maintain the initial QoS value if the initial QoS value is greater than the QoS ceiling value, as an exception to the one or more network policies.

Abstract: Described herein are devices, systems, methods, and processes for improving the accuracy of access point (AP) location in a Wi-Fi network using client device data and AP ranging measurements. APs may be deployed across a specific area. The APs can range to one another and form a matrix of measurements. Techniques such as semidefinite programming or multidimensional scaling (MDS) can be employed to transform these AP-to-AP ranges into a set of coordinates. Client devices in the area may also range to the APs. The client devices may provide their location measurement report (LMR) feedback and geo-position estimation to the network. The client devices-provided data, along with the AP-to-AP matrices, may be returned to a location server. The location server can use the data to refine the accuracy of the AP-to-AP graph and ascertain the most probable geo-position of the APs.

Abstract: Described herein are devices, systems, methods, and processes for coordinating transmission opportunities (TXOPs) in a wireless network with multi-access point coordination (MAPC) and multi-link device (MLD) features. An MAPC coordinator in the network may coordinate TXOPs for multiple network devices in a coordination group. Some of these network devices can utilize multi-link operation (MLO), establishing multiple simultaneous links with client devices over the same or different frequency bands. The MAPC coordinator may receive data about the MLD status and buffer status of each basic service set (BSS) and/or each network device in the network. The MAPC coordinator can also receive data about the buffer status of client devices. Based on the data, the MAPC coordinator may make decisions about which MLD links are likely to be utilized and their associated TXOPs, optimizing network performance and efficiency.

Abstract: Multi-AP Coordination (MAPC) group with Multi-Link Device (MLD) awareness may be provided. Link information of one or more stations associated with each Access Point (AP) of a plurality of APs of a MAPC group may be received. The link information may include a Multi-Link Device (MLD) capability of each of the one or more stations. A proposed transmission schedule of a plurality of stations associated with the plurality of APs of the MAPC group may be received. Transmission Opportunities (TXOPs) for an upcoming interval may be assigned based on the proposed transmission schedule of the plurality of APs and the MLD capabilities of each of the plurality of stations.