74 results about "Network access point" patented technology

Systems and methods are provided for traffic flow scheduling optimization through prioritizing traffic flows according to a Quality of Experience (QoE) score. Examples receive data packets of a plurality of traffic flows by an access point of a network, map the data packets of the plurality of traffic flows to a plurality of queues based on traffic identifiers of each data packet, and determine a QoE score for each traffic flow of the plurality of traffic flows. Examples can then prioritize the data packets based on the QoE scores determined for the plurality of traffic flows and schedule the data packets for transmission or reception based on the prioritization.

A sliced router decomposes a router into a plurality of slices. Each slice has a subset of the input and output ports of the router. One or more of the slices may communicate with a network access point. Adjacent slices communicate with each other. In some example embodiments, there are dedicated physical channels between each slice and each adjacent slice for traffic coming in on or going out on ports of other slices. Within a slice, traffic may be arbitrated onto upstream or downstream channels going to the same output port. Each slice contains one or more crossbars, allowing data received on any input port to be routed to any output port of the slice. The crossbar of each slice is substantially smaller than the crossbar that would be used by a unified router.

Systems and methods are provided for traffic flow scheduling optimization through prioritizing traffic flows according to a Quality of Experience (QoE) score. Examples receive data packets of a plurality of traffic flows by an access point of a network, map the data packets of the plurality of traffic flows to a plurality of queues based on traffic identifiers of each data packet, and determine a QoE score for each traffic flow of the plurality of traffic flows. Examples can then prioritize the data packets based on the QoE scores determined for the plurality of traffic flows and schedule the data packets for transmission or reception based on the prioritization.

An adaptive satellite routing orchestration system and an adaptive satellite routing orchestration method are provided. Under the low earth orbit satellite network architecture, by the determination of the connection status of the external submarine cable at the location where the ground network access point and the mobile core network are connected to the mobile network, the traffic of the mobile network is guided to the mobile core network via the submarine cable or the traffic of the mobile network is guided to the mobile core network via the low earth orbit satellite network. A computer-readable medium for executing the adaptive satellite routing orchestration method is further provided.

A user equipment (UE) including a transceiver and a processor is disclosed. The processor is configured to: receive a beam measurement configuration for performing beam measurements on a first set of beams of a first network access point and a second set of beams of a second network access point; receiving ephemeris information, wherein the ephemeris information comprises first ephemeris information corresponding to the first network access point and second ephemeris information corresponding to the second network access point; identifying a receive (Rx) beam in the first set of beams as a reference beam according to beam measurements performed for the first set of beams; identifying one or more target Rx beams based on the reference beam and based on the first ephemeris information or the second ephemeris information; and reporting the one or more target Rx beams to the network to receive downlink information via the second network access point.

Two-layer housing system (1) for communication devices, in particular for media converters, switches, access points and other network-enabled devices, consisting of a base level with integrated electronic components (4-8) and a customer layer arranged above it, characterized in that the base level is pre-assembled and the customer layer is flexibly replaceable, wherein the overall housing is mounted on a mounting plate (2) with an integrated spirit level.

The present invention provides a method for optimizing terminal system access delay jitter based on reinforcement learning, which belongs to the field of terminal access technology. The method comprises: using a random access algorithm to access a 5G access device to a network access point to obtain a reinforcement learning model based on an access selection algorithm; training the reinforcement learning model, and transmitting the trained reinforcement learning model downward to all 5G terminal devices that use the access node for network transmission; collecting network information of the network access point and quantizing it, combining it into a network state matrix, inputting the network state matrix into the reinforcement learning model and outputting a quantized value, and selecting a network access point corresponding to the optimal delay jitter performance for network switching to obtain network services. The present invention solves the problem that existing access technologies do not use delay jitter as the main performance for access judgment and that 5G mobile terminals are difficult to cope with complex and changeable network scenarios.

There may be a need for methods, apparatuses, and systems for distance-dependent RACH preamble selection in an NTN.SOLUTION: A method, an apparatus, and a system are disclosed. In one representative embodiment, a method may be performed by a wireless transmit / receive unit (WTRU) for communication via a network access point (NAP). The method includes a WTRU receiving a set of preambles and corresponding propagation delay-related thresholds from a NAP and determining propagation delay-related information associated with a distance between the WTRU and the NAP or a location in a coverage of the NAP. The method further includes selecting a subset of preambles from the set of preambles based on the determined propagation delay related information, randomly selecting a preamble from the selected subset of preambles, and transmitting the randomly selected preamble to the NAP.SELECTED DRAWING: Figure 6

Disclosed in the present application is a data transmission method. The data transmission method includes: establishing a multipath transmission control protocol (MPTCP) connection with a network access point device, the MPTCP connection including a first TCP connection and a second TCP connection, the first TCP connection being constructed according to a first Wi-Fi connection corresponding to a first Wi-Fi module, and the second TCP connection being constructed according to a second Wi-Fi connection corresponding to a second Wi-Fi module; and transmitting network access data to the network access point device by means of the MPTCP connection.

The invention discloses a WiFi (Wireless Fidelity) network access point topology adjustment method and system based on multi-agent reinforcement learning, terminal equipment and a medium, and relates to the technical field of wireless network configuration. The method comprises the steps that an access point obtains a network state, a to-be-executed topology adjustment action is generated through a locally-deployed pre-training execution network based on the state, and the execution network is obtained through multi-agent reinforcement learning training; and executing the action after the action passes the verification, and then obtaining the network state after the execution. According to the method and the device, the topology adjustment action is locally and autonomously generated through the access point, the characteristics of the WiFi (Wireless Fidelity) network are adapted, the real-time performance and the adaptability of topology adjustment are improved, the utilization rate of network resources is optimized, and meanwhile, the user service quality and the network operation stability are guaranteed.

For vehicles connecting to wireless communication network access points within a designated area, the system appropriately controls the switching of access points depending on the situation. [Solution] The information processing system is applied to a vehicle traveling in a predetermined area where multiple access points are installed. The information processing system acquires information on the radio wave intensity distribution of each of the multiple access points and information on the vehicle's travel route in the predetermined area. The information processing system calculates the risk at a target location on the vehicle's travel route and calculates the access point switching tolerance at the target location based on the radio wave intensity distribution and the risk. The access point switching tolerance decreases as the risk at the target location increases. The information processing system prohibits switching the target access point to which the vehicle is connected at a target location where the access point switching tolerance is below a threshold.

The present disclosure provides a cell-free network access point deployment method and device and related equipment, and relates to the technical field of wireless communication. The method comprises the following steps: obtaining historical user information and historical traffic information in a target area within a historical time period; generating a first access point deployment decision in the target area according to the historical user information and the historical traffic information; monitoring real-time user information and real-time traffic information in the target area at a current time; inputting the first access point deployment decision, the real-time user information and the real-time traffic information into a pre-trained reinforcement learning model to output a second access point deployment decision in the target area. The cell-free network access point deployment method can adapt to a dynamically changing network environment.

Methods and apparatus for segmenting uplink transmissions by ambient-power (AMP) devices are provided. In embodiments, data collected by an AMP device is divided into segments, which are transmitted according to the energy available to the AMP device and the resources allocated by a receiving network access point. The AMP device can signal to the access point its current energy availability and the segmentation of the data by setting specific fields in the data frames used to transmit the data segments. In embodiments, a wake-up radio frame is used to transmit the data and the medium access control header thereof is used to communicate segmentation and energy information. In addition, the access point can infer whether the resources that it is allocating to the AMP device are sufficient according to this information. Embodiments can enable AMP devices to avoid deferring data transmissions and consuming power unnecessarily.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products that may be implemented in a wireless transmit / receive unit (WTRU) and / or a network access point (NAP) with respect to MIMO precoding using a precoding neural network (NN) at the NAP. Training of the NN may use artificial and / or measured channel state information (CSI). In one embodiment, the WTRU may provide feedback to the NAP in the form of CSI statistics, time correlation, and / or bit error rate (BER) regarding a channel. The NAP may inform the WTRU of information for extracting training samples which are fed back from the WTRU to the NAP. The NAP may perform retraining of the NN using the training samples to adjust and / or recalibrate the NN weights. The information for extracting training samples may include CSI reference signal (CSI-RS) density and / or CSI-RS transmission time slots for extracting the training samples at the WTRU.

Disclosed are systems and methods that provide a computerized network management framework that adaptively configures a network at a location to ensure connectivity and / or network services are maintained. The disclosed framework enables the implementation of multi-link operation (MLO) functionality within WiFi 7 enabled networks to implement non-disruptive off-channel scanning. The framework can utilize MLO backup / redundant links that can mitigate network disruptions in service / connectivity for client devices that are WiFi 7 capable during the performance of off-channel scanning of access point (AP) devices for a network by diverting network traffic to an activated MLO link while an available channel / radio (e.g., 5 GHZ) is used to perform such off-channel scanning.

A data entry and scanning apparatus that includes a commercially available mobile device wherein said commercially available mobile device with a touch screen display, a processor, and a wireless communications network access point, a scanning device, an interface, and a power source that external to the commercially available mobile device and connected to the interface, and a casing that does not cover the touch screen display.

An access point for interference detection includes memory configured to store information identifying one or more non-associated client devices that are not configured to communicate with the access point, and one or more processors, implemented in circuitry, coupled to the memory and configured to: determine that communication signals outputted from a non-associated client device to another access point or from the other access point to the non-associated client device are being received by the access point based on the stored information, determine an amount of in-network interference being generated by the communication signals based at least in part on the determination that the communication signals from the non-associated client device or from the other access point are being received by the access point, and output interference information based on the determined amount of in-network interference.

The invention provides a cross-border network construction method and device and a data transmission method, relates to the technical field of communication, and can reduce the link deployment cost of cross-border communication. The method comprises the following steps: acquiring connection request information from first equipment; the connection request information is used for requesting to establish a network link between the first device and the second device, and the first device and the second device are located in different regions; establishing a network link between the first device and a network access point (PoP) device based on a multi-protocol label switching (MPLS) virtual private network (VPN) technology; wherein the PoP device and the second device are located in the same region; and establishing a network link between the PoP equipment and the second equipment based on a software defined wide area network (SD-WAN) technology and a fifth generation mobile communication 5G slice.

The invention discloses a vehicle data cross-region reporting method and device, electronic equipment, a medium and a product. The vehicle data cross-region reporting method comprises the steps of determining an attribution of a current IP address of a vehicle, wherein the attribution comprises a jurisdiction region or a non-jurisdiction region; setting a network access point name (APN) according to preset network configuration corresponding to the attribution; and determining to-be-reported vehicle data according to the preset network configuration, and reporting the vehicle data based on the APN. According to the technical scheme, corresponding APN configuration is carried out for the attribution, corresponding vehicle data reporting is carried out, domestic and overseas data transmission requirements can be met, and reliable cross-border transmission of vehicle data is realized.

Prior to associating with a wireless network, a wireless device receives from a network access point, a message containing information identifying (i) identity of the network and (ii) network policies; retrieves the information from the message; based on the network identity, determines whether a network attributes record for the network already exists in the device. If not, the device creates a temporary network attributes record for the network. Based on the network policies, the device attempts to associate to and authenticate the network. After successfully associating to and authenticating the network, the device determines whether the network attributes record for the network has expired. If not, the device renews the network attributes record and implements the network policies stored in the network attributes record If the network attributes record has expired, then the device deletes the network attributes record and implements default network policies for the wireless network.

Methods may comprise receiving, at a network access point associated with a network, a request for access to the network from a user device. Based on an analysis of a signal between the user device and the network access point, a signal-to-noise ratio (SNR) may be determined. Access to the network may be based on at least a comparison of the SNR to a SNR threshold.

Techniques for managing a co-existence event in a wireless communication network. A method may include predicting, within or after a predefined threshold time interval, an occurrence of the co-existence event at an access point (AP) of the wireless communication network. A method may include selecting, based on the prediction, a signaling technique from among a plurality of predefined signaling techniques for transmitting a co-existence information associated with the co-existence event. The co-existence information may include at least a start time and a duration of the co-existence event. The method may include transmitting the co-existence information to one or more stations (STAs) associated with the AP using the selected transmission mechanism.

To reduce the number of access point switching cycles for vehicles connecting to wireless communication network access points within a designated area. [Solution] The route determination system is applied to a vehicle traveling in a predetermined area where multiple access points are installed. The route determination system assumes that the vehicle has traveled along candidate routes within the predetermined area and calculates the number of times the vehicle has to switch between target access points. The route determination system prioritizes selecting the candidate route with the fewest number of switches as the vehicle's route.

The invention belongs to the technical field of Internet of Things, and particularly relates to a method and device for determining an optimal strategy of system service, equipment and a medium. The method comprises the steps of obtaining a current configuration state of a virtual simulation system; obtaining a current position of the target user, task demand precision and a historical placement strategy of the service entity; determining a current placement strategy of a service entity and a current access strategy of a network access point according to the current position, the task demand precision, the historical placement strategy and the current configuration state; determining the optimal analysis precision according to the current placement strategy and the current access strategy; and determining the optimal strategy of the system service according to the current placement strategy, the current access strategy and the optimal analysis precision. The task processing delay is effectively reduced, the precision of the virtual model is improved, and the service quality of a virtual simulation system in oil and gas field construction is improved.

The invention discloses a network protection method and system based on multi-dimensional behavior sequence analysis and dynamic reputation modeling. The method comprises the following steps: intercepting a connection request in real time at a network access point and extracting features; establishing a historical behavior sequence of a dynamic reputation library storage communication entity; a recursive penalty algorithm based on a time decay factor is adopted, and a historical reputation score, external threat intelligence and other dimensions are fused to generate a real-time dynamic reputation score; matching a strategy mapping table according to a preset matching strategy; implementing a push-back coverage mechanism on the requests which are not passed immediately; an overall implementation scheme of cooperative joint defense is used; through an innovative push-back coverage mechanism, the state and the number of queue items maintained for each abnormal communication entity in the system are constant and decoupled from the total attack request amount, the expandability and the anti-pressure ability are extremely high, the cost for resisting flood attacks of any scale can be substantially reduced theoretically, and the method is suitable for popularization and application. And the protection effect on persistent malicious behaviors is obviously improved.

The present subject matter discloses a method and a system for optimizing access point selection in a network comprising Multi-Link Devices (MLDs). The method includes obtaining a traffic information of the network comprising the MLDs, wherein the traffic information comprises at least one of, application type, contextual factors associated with one or more client devices, contextual factors associated with the MLDs, and channel quality variations in the network. Further, the method includes predicting traffic patterns at one or more access points in the network based on the obtained traffic information of the network. Further, the method includes deciding physical layer parameters and Media Access Control (MAC) layer parameters associated with the one or more access points in the network. Further, the method includes prioritizing one or more data packets in the network based on the predicted traffic patterns.

Systems and procedures for optimizing traffic flow planning by prioritizing traffic flows according to a Quality of Experience (QoE) rating are provided. Examples receive data packets from a multitude of traffic flows through a network access point, assign these packets to queues based on each packet's traffic identifier, and determine a QoE score for each flow. These examples can then prioritize the data packets based on the QoE ratings assigned to each traffic flow and schedule transmission or reception accordingly.

Method, apparatus and systems are disclosed. In one representative embodiment, a method may be implemented by a wireless transmit / receive unit (WTRU) for communication via a network access point (NAP). The method may include the WTRU receiving from the NAP a set of preambles and corresponding propagation delay related thresholds and determining propagation delay related information associated with a distance between the WTRU and the NAP or a location in a coverage of the NAP. The method may further include selecting a subset of preambles from the set of preambles based on the determined propagation delay related information, randomly selecting a preamble from the selected subset of preambles, and sending the randomly selected preamble to the NAP.

The invention discloses a training method, an application method and a training system of a WiFi (Wireless Fidelity) 7 network access point configuration strategy model based on multi-agent reinforcement learning, terminal equipment and a medium, and relates to the technical field of wireless network configuration. The training method comprises the following steps: initializing an evaluation network and each access point execution network by using random weight; obtaining the network state of each access point, and executing a network generation action; obtaining a post-execution state and calculating a reward; the evaluation network calculates a Q value based on the action, the post-execution state and the reward; and updating the evaluation network parameters based on the Q value minimization loss function, and iteratively updating the execution network parameters. Through multi-agent collaborative optimization, dynamic adaptive configuration of the WiFi access point is realized, the network throughput and the packet delivery rate are improved, the transmission delay and the energy consumption are reduced, and the network operation stability and the configuration efficiency are guaranteed.