42 results about "Client station" patented technology

A client driven approach for L4S support and optimization in WLANs, e.g. WiFi WLANs, is described. A client station (STA) generates and sends a SCS w / L4S Request frame including a L4S descriptor element to an access point (AP). The L4S descriptor element includes a L4S classifier mask, ECN threshold and a set of client device specified desired QoS level information to be applied with regard to the transmission of identified L4S traffic. Upon acceptance of the request, the AP selects a queue for future L4S traffic and creates an L4S filter. The created L4S filter includes classification criteria, ECN congestion threshold, and QoS information. The AP implements the created L4S filter, e.g., identifying and directing identified L4S traffic to the designated L4S queue, performing ECN marking with regard to the congestion at the L4S queue, and transmitting L4S data in accordance with the received STA specified desired QoS levels.

A network directed approach for L4S support and optimization in WLANs, e.g. WiFi WLANs, is described. A client station (STA) generates and sends a MSCS w / L4S Request frame including a L4S descriptor element to an access point (AP). The L4S descriptor element includes an ECN threshold and optionally QoS information for L4S traffic. Upon acceptance of the request, the AP selects a queue for L4S traffic and creates an L4S filter. The L4S filter includes classification criteria, ECN congestion threshold, and QoS information. As part of creating the L4S filter, the AP relies on stream monitoring at the AP to obtain criteria for identifying L4S traffic. The AP implements the created L4S filter, identifying L4S traffic, directing the identified L4S traffic to the L4S queue, performing ECN congestion marking for L4S queue, and transmitting L4S data using AP monitoring based computed QoS metrics for L4S traffic.

A computing platform is configured to: (i) receive, from a first client station, a data file; (ii) obtain metadata associated with the data file; (iii) determine, based on at least a first set of metadata from the obtained metadata associated with the data file, a naming structure to use for the data file; (iv) generate, based on the determined naming structure and at least a second set of metadata from the obtained metadata, a proposed name for the data file; and (v) transmit, to a second client station, a communication identifying the proposed name and thereby cause an indication of the proposed name for the data file to be presented at a user interface of the second client station.

Techniques and apparatus for managing at least one client stations (STAs) within a wireless network are described. An example technique includes receiving a request from, or anticipating a request by, the at least on STA for an expansion of bandwidth resources. A determination is made regarding constraints and the feasibility of the expansion of bandwidth resources based on target parameters. In response to the determination, expanding bandwidth resources of at least one access point of the one or more access points within the wireless network.

The embodiment of the invention relates to a multi-system AI repository controller. Systems and methods are provided for creating a hierarchical repository of machine learning (ML) models in which ML models are stored as open container images (OCIs). The OCI includes a layer or portion of a complete ML model so that the model can be stored separately and as a smaller file. The ML model may be pre-packed for automated downloading and integration at the customer site. In some examples, the OCI may identify / store the model in a directory structure defining the model and its configuration files. The OCI may include a combination of layers and configuration files that allow the AI platform to optimize storage and simplify the process of downloading or updating a given user namespace rather than downloading a single large file for the model.

Techniques and apparatus for managing at least one client stations (STAs) within a wireless network are described. An example technique includes receiving a request from, or anticipating a request by, the at least on STA for an expansion of bandwidth resources. A determination is made regarding constraints and the feasibility of the expansion of bandwidth resources based on target parameters. In response to the determination, expanding bandwidth resources of at least one access point of the one or more access points within the wireless network.

A management node local to a customer site of a private communications network stores a model. The model is a compact version of a visual language model remote from the customer site. A first screen shot of a dashboard of telemetry data measured from the private communications network is accessed. A prompt is formulated comprising the first screen shot and information to adapt the model to the private communications network via few shot learning. The prompt is submitted to the model. An output is received from the model comprising textual information about anomalies or trends depicted in the first screen shot. The output is checked against data from a statistical model of the telemetry data, the statistical model being independent of the model. In response to the check being successful, an action is triggered to manage the private communications network according to the output.

A first client station receives a multi-user physical layer (PHY) data unit from an access point. The multi-user PHY data unit includes i) a PHY preamble, and ii) an MU-MIMO transmission. The PHY preamble includes respective subfields that indicate respective numbers of spatial streams allocated to respective client stations. The respective subfields have been encoded according to an encoding that supports allocating up to sixteen spatial streams to up to eight intended receivers. The respective subfields are arranged in the PHY preamble according to an order. The first client station determines a position of a particular subfield corresponding to the first client station within the order, and uses the position of the particular subfield to decodes the particular subfield to determine a number of spatial streams allocated to the first client station. The first client station processes the determined number of spatial streams in the MU-MIMO transmission.

A system can receive a certificate, wherein the certificate comprises a vendor public key for a customer site, wherein the vendor public key is based on a vendor secret key and a first number that comprises a primitive root modulo of a second prime number. The system can validate the certificate, wherein the validation comprises validating that the certificate was generated by vendor equipment associated with a vendor entity that corresponds to the vendor public key, and wherein the validating comprises validating that the identifier of an application of the customer site in the certificate matches the local copy of the identifier of the application of the customer equipment associated with the customer site. The system can, based on the validating, enable access to the application of the customer equipment associated with the customer site by the vendor equipment associated with the vendor entity.

A system and method are provided for improving success rate of beacon frame reception from an access point (AP) in wireless networks by determining an optimal wake-up advance amount to compensate for the AP's clock inaccuracy, optimizing client device's wake-up schedules based on the optimal wake-up advance amount for reliable data transmission and minimizing power usage. The client device determines the optimal wake-up advance amount by analyzing beacon frames, identifying differences between the AP's clock and the client station's own clock. Optimizing the wake-up schedules of the client device from a power-saving mode allows the client station to prepare in advance of beacon frame broadcasts, ensuring their consistent reception.

Certain aspects of the disclosure are directed to context aggregation in a data communications network. According to a specific example, process user-data communications between a client station and another station participating in data communications via the data communications services can be processed, where the client station is associated with one of a plurality of client entities configured and arranged to interface with a data communications server providing data communications services. Context information can be aggregated for each respective user-data communication between the client station and the participating station, where the context information corresponds to at least one communications-specific characteristic associated with the user-data communications. In response to receipt of a subsequent user-data communication from the participating station and intended for the client station, present to the participating station a dynamic series of inquiries to address the subsequent user-data communication, based on the aggregated context information.

A computing system configured to: (1) render, via a graphical user interface (GUI) displayed by a client station, a three-dimensional view of a construction project using a three-dimensional model file that defines a set of meshes representing physical objects of the construction project, wherein each mesh comprises a set of triangular faces, and wherein the GUI includes a measurement tool for obtaining a shortest distance between a first mesh and a second mesh; (2) receive a request to obtain the shortest distance between the first mesh and the second mesh; (3) calculate a set of distances potentially comprising the shortest distance between the first mesh and the second mesh by first reducing one or both of: (i) the number of faces between which distances are calculated and (ii) the number of distances that are calculated; and (4) determine the shortest distance between the first mesh and the second mesh.

This disclosure describes techniques and mechanisms for detecting and alerting on domain fronting within a network using network location context. Popular services are often hosted by multiple CDNs to increase resiliency and decrease latency. The techniques described herein utilize this insight to identify anomalous encrypted sessions by first creating a baseline of domain name resolutions for a given customer site. The techniques may then look for encrypted sessions destined to an IP address that is anomalous for the given domain name and is known to support domain fronting.

A method, system, and apparatus for bandsteering a client station to an access point. A non-6 GHz AP receives a plurality of probe requests from the client station and determines that the client station is operable to communicate with the 6 GHz AP based on an indication in the probe requests. A threshold estimated number of probe requests transmitted by the client station is ignored to bandsteeer the client station to connect to the 6 GHz AP based on the determination where the threshold is based on a number of probe requests transmitted by the client station in a scan cycle. A probe response is then transmitted after the threshold estimated number of the probe requests are transmitted by the client station, wherein the client station is allowed to connect to the non-6 GHz AP.

An example system is configured to (i) cause a client station to operate in a first mode in which the client station is configured for playback of a remote playback queue provided by a cloud-based computing system associated with a cloud-based media service, (ii) cause a zone player to take over playback responsibility for the remote playback queue, (iii) cause the zone player to (a) communicate with the cloud-based computing system to obtain data identifying a next one or more media items in the remote playback queue, (b) use the obtained data to retrieve at least one media item in the remote playback queue from the cloud-based media service, and (c) play back the retrieved at least one media item, and (iv) cause the client station to transition from the first mode to a second mode in which the client station is configured to control the zone player's playback of the remote playback queue.

An access point (AP) device that serves a wireless local area network (WLAN) determines that a coverage area of the AP device is partitioned into a plurality of sectors, the coverage area corresponding to the WLAN. The AP device determines that a first transmission is occurring within a first sector among the plurality of sectors, and determines that a client station is located in a second sector among the plurality of sectors, the second sector different than the first sector. In response to determining that the first transmission is occurring within the first sector, the AP device selects the client station for a directional second transmission in a direction i) within the second sector and ii) outside of the first sector, and transmits the directional second transmission to the client station in the second sector while the first transmission in the first sector is occurring.

A computing platform is configured to: (i) receive, from a first client station, a data file; (ii) obtain metadata associated with the data file; (iii) determine, based on at least a first set of metadata from the obtained metadata associated with the data file, a naming structure to use for the data file; (iv) generate, based on the determined naming structure and at least a second set of metadata from the obtained metadata, a proposed name for the data file; and (v) transmit, to a second client station, a communication identifying the proposed name and thereby cause an indication of the proposed name for the data file to be presented at a user interface of the second client station.

A computing platform is configured to: (i) receive, from a first client station, a data file; (ii) obtain metadata associated with the data file; (iii) determine, based on the obtained metadata, at least one recommended workflow for assignment to the data file, wherein the workflow defines a set of one or more actions that are to be taken in connection with the data file; and (iv) transmit, to a second client station, a communication identifying the at least one recommended workflow and thereby cause an indication of the at least one recommended workflow for the data file to be presented at a user interface of the second client station.

This disclosure relates to methods for early QoS assurance within a roaming MLD, e.g., methods that can allow a client station to gain knowledge about QoS support of target APs prior to roaming (e.g., attaching) to the target AP within the roaming MLD. In addition, methods can allow a client station to gain knowledge about QoS support of target APs within an MLD that a client station is not associated with (e.g., prior to the client associating (e.g., attaching) to the MLD). Further, methods can allow an SCS agreement to be applicable across all APs of an AP MLD or to be applicable at a particular AP of an AP MLD. Additionally, methods can provide enhanced SCS agreement functionality to support roaming between AP MLDs.

Techniques and systems for enhancing transmit opportunity (TXOP) sharing for multi-access point coordination (MAPC) are described. An example technique includes obtaining, for each access point (AP) of a plurality of APs in a MAPC group, historical mobility information of client stations (STAs) associated with the AP. A number of the client STAs associated with each AP that satisfies a mobility criteria is determined based on the historical mobility information. A determination of whether to enable TXOP sharing is made for each AP and an indication of the determination is transmitted to the AP. Another technique includes estimating traffic demand for a first set of client STAs associated with an AP. A second set of client STAs to make available for TXOP sharing is determined. Signal strength information associated with a communication link between each client STA in the second set and the AP is transmitted.

In some embodiments, a method for exchanging excess energy capacity includes: receiving historical energy usage data from a gateway device installed at a first customer site; using a AI model to forecast future energy capacity of the first customer site; determining a recommendation of sellable energy capacity for the first customer site based on the forecasted future energy capacity; receiving a sell request to sell energy capacity from a user device associated with the first customer site; aggregating a capacity pool with the sell request; receiving a buy request to buy energy capacity from a user device associated with a second customer site; assessing the aggregated capacity pool to determine a match to the buy request; and sending a notice to the first customer site and / or the second customer site to indicate an exchange of energy capacity between the first or the second customer site and the capacity pool.

Methods and systems for dynamic network keep-alive are described. In one embodiment, the method comprises establishing a link with an access point, determining a client station time interval and iteratively adjusting the duration of the client station time interval to approximate the access point time interval until the client station time interval is a close approximation of the access point time interval, thereby performing the keep-alive process at an efficient manner.

The present invention provides a vehicle routing method and apparatus, comprising: a data acquisition step, a model loading step, and a routing generation step. In the routing generation step, a routing strategy search model is utilized to generate and output a routing strategy. The routing strategy search model employs a single simulated vehicle to search through all customer sites, and a sequence of sites, in which the simulated vehicle departs from a starting site, passes through one or more customer sites, and returns to the starting site, is used as the delivery route for a single delivery vehicle, thereby obtaining routing strategies for multiple delivery vehicles. The vehicle routing method and apparatus provided by the present invention, through a serial decision search mechanism, can improve the performance and efficiency of solving time-windowed vehicle-to-remote delivery (VRP) problems.

Examples disclosed herein involve a computing system configured to (i) receive image data captured by an image-capture device; (ii) based on the received image data, generate a set of map update tasks that each define a respective activity for evaluating whether to update a map; (iii) use a multi-factor prioritization scheme to prioritize the set of map update tasks; (iv) assign at least a subset of map update tasks from the set of map update tasks to one or more curators in accordance with the prioritization of the set of map update tasks; (v) receive, from a client station associated with a given curator via a network-based communication path, data defining feedback from the given curator regarding a given map update task; and (vi) update the map based on the received feedback.

An example egress network device includes at least one computer processor and a memory. The memory includes instructions that cause the at least one computer processor to receive messages from each of a plurality of ingress network devices. Each message specifies a multicast source as an anycast address that belongs to two or more sources, a multicast group, and a customer site identifier that uniquely identifies a customer network device via which the anycast address is reachable. The instructions cause the at least one computer processor to select, based on the customer site identifiers, one of the plurality of ingress network devices to which to send a multicast join message of a plurality of multicast join messages for the multicast source and multicast group. The instructions cause the at least one computer processor to send the multicast join message to the selected one of the plurality of ingress network devices.

A system and method optimizes a wakeup schedule of a client device based on an optimal wakeup advance to improve the success rate of receiving beacon frames from an AP in a wireless network by determining the optimal wakeup advance to compensate for clock errors of the AP, thereby achieving reliable data transmission while taking into account minimum power consumption. The client device determines the optimal wake-up advance by analyzing the beacon frames, identifying a difference between the clock of the AP and the client site's own clock. The wake-up time of the client device is optimized from an energy saving mode, enabling the client sites to prepare prior to beacon frame broadcast, ensuring their consistent reception.

The application discloses a multi-objective vehicle path optimization method based on fuzzy time window satisfaction degree, which is suitable for a distribution scene containing a distribution center, vehicles and customer sites. The method first acquires customer coordinates, demand, time window and other data and calculates a distance matrix, generates a disturbed time window after disturbance on the basis of random disturbance of the deterministic time window, and represents the disturbed time window as a three-parameter fuzzy number [a, m, b]. The fuzzy arrival and service time are obtained through fuzzy operator recursion. Then, a quasi-trapezoidal membership function is constructed to calculate customer satisfaction and average satisfaction through barycenter and similarity. A heuristic and roulette are used to generate an initial population, and a distribution cost Cost and average satisfaction AvgMu are used as double targets. After non-dominated sorting, tournament selection, crossover and mutation evolution, the solution quality is optimized by combining local search, and the Pareto optimal solution set is output after the termination condition is met. The application integrates the uncertainty of the time window into optimization, balances the cost and satisfaction, and improves the path robustness.

The present disclosure provides systems and methods for an integrated private cloud (AI) platform deployable at a customer site. The integrated private cloud AI platform may include components deployed at the customer site that utilize an embedded model that locally accesses / integrates various knowledge bases and vector data repositories at the customer site and permits chat robot accessible queries with previously uploaded embedded LLMs.

The invention provides an electric vehicle path planning method and system based on large-scale neighborhood search. According to the embodiment of the invention, power station insertion can be carried out at a plurality of insertion positions in reconstruction processing, so that the problem that the electric quantity constraint condition cannot be met when only a single power station is inserted is avoided, and the practicability of electric vehicle path planning is improved. According to the embodiment of the invention, a non-linear electric vehicle battery power consumption calculation mode is also used, so that battery behaviors in a real delivery scene can be well reflected, and electric vehicle route planning is more scientific and easier to implement. Besides, in the process of constructing the initial solution, all the client sites are subjected to priority ranking in advance, and it is ensured that the client sites with strict constraints can be preferentially served, so that the overall insertion efficiency of the client sites is improved, and the calculation time is saved.