41 results about "Qos management" patented technology

Logic to generate an extremely high throughput (EHT) physical layer protocol data unit (PPDU) comprising a medium access control (MAC) management frame, the MAC management frame comprising a QoS management field. the QoS management field comprising at least one bit value to indicate quality of service (QOS) management capability associated with links associated with more than one frequency bands. Logic to cause the transmission of the EHT PPDU. And logic to receive and decode the EHT PPDU.

A station (STA) in a wireless network that is configured to transfer an established stream classification service (SCS) agreement with an access point (AP) to a different AP while roaming, including transmitting a frame that causes the transfer to an AP, receiving a response from the AP regarding whether the transfer to the different AP has been accepted, declined, or conditionally accepted with a set of alternative parameters for the SCS agreement, and the STA seamlessly roaming to the different AP while maintaining the established SCS agreement for the network traffic and without having to establish a new SCS agreement.

A method and an apparatus are provided for managing quality of service (QoS) in a communication network. A plurality of data flows related to at least one application associated with a user equipment (UE) is received. At least one data flow that requires QoS management related to the at least one application is identified from the plurality of data flows based on an analysis of at least one of a plurality of attributes related to the at least one application. The at least one data flow is classified into a QoS class associated with the at least one application. The at least one data flow is prioritized based on the QoS class.

The present disclosure is directed to implementations of systems and methods for quality-of-experience (QoE)-aware quality-of-service (QoS) management for network flows. In some implementations, a wireless transmit receive unit (WTRU) may transmit to a network a registration request comprising quality-of-experience (QoE) assistance information. The WTRU may receive, from the network, a registration acceptance response indicating a QoE-Aware Quality-of-Service Function (QQF) of the network is configured to provide flow control or QoS management for an application of the WTRU based on the QoE assistance information. The WTRU may execute the application and monitor a QoE score during execution of the application. Responsive to a change in the QoE score, the WTRU may transmit to the QQF one or more network or application performance measurements.

The invention relates to wireless network comprising an access point and non-AP stations. The station has traffic queues and associated a backoff counters which are decremented over time upon continuously sensing the medium as free during more than respective AIFS durations. To compensate additional opportunities provided by OFDMA RUs, a queue switches to an MU mode upon transmitting its data in an RU provided by the AP. To restore dynamicity of the backoff counters, frozen in the MU mode in the known techniques, embodiments provide the following at each expiry of one of the queue backoff counters: the current mode of the expiring traffic queue is determined; in case of legacy mode, the station accesses the channel to transmit data from the queue; whereas in case of MU mode, a new backoff value is drawn to reset the expiring backoff counter, without having data from the queue being transmitted.

A method for quality of service (QoS) flow control dynamically optimizes network resource allocation based on terminal power consumption status. An access network function receives terminal status information from an application function (AF) and determines a QoS profile for associated QoS flows from alternative profiles. The selected QoS profile is transmitted to a core network function or terminal for QoS updates. The terminal status information, which may include battery level, CPU load, or overheating status, informs the selection process to balance performance and efficiency. Core network functions manage QoS updates by interacting with the AF, access network, and terminals. The method, apparatus and computer readable medium ensure adaptive and energy-efficient QoS management for improved user experience and resource utilization in diverse network environments.

The present disclosure relates to a communication technology and a system thereof for integrating a fifth generation (5G) communication system for supporting a higher data rate than a fourth generation (4G) system with an IoT technology. The present disclosure can be applied to smart services based on 5G communication technology and IoT-related technologies, such as smart homes, smart buildings, smart cities, smart cars, connected cars, healthcare, digital education, smart retail, security and safety services. A method for managing the quality of service (QoS) of a session by using a NAS protocol in a next generation 5G communication environment is disclosed.

The application provides a quality of service (QoS) management method, which comprises the following steps: a first device sends first information, the first information is used for requesting a QoS for a first service; the first device receives second information, the second information is used for indicating a QoS control mode and a QoS parameter of a first QoS flow, wherein the first QoS flow is used for transmitting a data flow of the first service, and the QoS control mode comprises a first control mode based on packet group control; and the first device performs QoS control on the data flow of the first service according to the second information. According to the application, the first device can perform QoS control on the data flow of the first service with packet group as granularity, the flexibility of QoS management is improved, the requirements of different services are met, the user experience is improved, and the waste of network resources is reduced.

The present invention is applicable to the field of distributed storage, and provides a QoS management method for a directory-based distributed storage system. The method includes: the QoS controller loads an aggregated directory tree according to the QoS directory tree creation rule, and distributes the QoS directory tree to the data nodes; the QoS controller periodically sends heartbeats to the data nodes to obtain the control right of the data nodes and obtain the local resource view of the data nodes, and aggregates and maintains the system global resource view; the QoS controller initiates a reconfiguration process every several heartbeats according to the preset settings, performs first- and second-level quotas according to the global resource view, translates the quota result into a re-quota instruction and distributes it to the data nodes; after receiving the re-quota instruction sent by the QoS controller, the data nodes perform third-level quotas and finally execute the resource allocation. The embodiments of the present application implement flexible and diverse quota modes through various directory item types to meet the service quality assurance in common scenarios of public clouds and private clouds.

Methods, apparatuses, and computer readable media for multi-band discovery, where a station (STA) comprises processing circuitry configured to: decode, from a second STA, a quality of service (QoS) and connection reporting (QCR) request action frame, the QCR requestion action frame including a first quality of service (QoS) management element, the first QoS management element including a QCR request attribute and an analytics attribute, the QCR request attribute indicating that the first STA is to provide analytics indicated in the analytics attribute, and configured to: encode, for transmission to the second STA, a QCR response action frame, the QCR response action frame comprising a second QoS management element, the second QoS management element comprising a QCR response attribute, the QCR response attribute indicating whether the first STA will provide the analytics indicated in the analytics attribute.

Embodiments of the present application provide a QoS parameter configuration method, device, apparatus and storage medium, wherein the method is applied to a QoS management node, comprising: determining a QoS parameter used by a sidelink interface of a direct communication link in a target transmission direction between a relay terminal and a target communication peer of the QoS management node; and sending the QoS parameter to the relay terminal and / or the target communication peer. Through the QoS parameter configuration method, device, apparatus and storage medium provided by the embodiments of the present application, the QoS of an end-to-end bearer / DRB in an L2 sidelink relay scenario is ensured.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.

Various embodiments of the present disclosure provide a method for an MC client device to inform the MC service server that the MC client device is connected to an MC gateway UE and thus is capable of having QoS managed by the MC service server via the MC gateway UE. The MC client device can send a message to the MC service server that includes an indication, such as a flag, an IP address of the MC gateway UE, or an MC gateway UE identifier, that indicates to the MC service server that the MC client device is connected to the MC gateway UE. The MC service server verifies with the MC gateway UE whether the MC client device is connected to the MC gateway UE, and then sends a request to the network for network resources (e.g., for QoS management) for the MC gateway UE to use for the MC client device.

An apparatus of a first user equipment (UE) includes one or more baseband processors to: generate a message for a second UE to configure a new radio (NR) vehicle-to-everything (V2X) link between the first UE and the second UE, wherein the message includes a quality of service (QoS) metric to encode a plurality of QoS parameters for the NR V2X link; and encode a packet of the second UE according to the QoS parameter. The apparatus may include a memory for storing the message.

Embodiments of the present invention provide a method, apparatus, device, and medium for configuring quality of service (QoS). The method for configuring quality of service (QoS) includes: sending quality of service (QoS) management information to a base station, which is a base station connected to a mobile edge computing (MEC) device; wherein the QoS management information includes a cell identifier list, user information, QoS parameters, and service information, wherein one cell identifier in the cell identifier list corresponds to one base station, and the QoS management information is used to instruct the base station to create at least one virtual bearer between the user equipment (UE) connected to it. Embodiments of the present invention can reduce the maintenance complexity and cost of network transformation and construction, and solve the latency problem of QoS guarantee.

A quality of service QoS management method includes the steps of: a first device sending first information, where the first information is for requesting QoS of a first service; a first device receiving second information, where the second information indicates a QoS control scheme and QoS parameters of a first QoS flow, where the first QoS flow is for transmitting a data flow of the first service, where the QoS control scheme includes a first control scheme for controlling based on a data packet group; and a first device performing QoS control on the data flow of the first service based on the second information.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.

The invention relates to a service request processing method and apparatus, and a computer device. The method comprises the steps of obtaining a target service access request for a target object in a distributed storage system; determining a demand flow token of a flow limiting index corresponding to the target object when the target object is accessed; and according to the demand traffic token and the local residual traffic token, determining whether to perform traffic limiting processing on the target service access request. According to the scheme, the QoS client can determine whether the target service request needs to be subjected to flow limiting or not according to the demand flow token and the local residual flow token, interaction with the QoS management end is not needed, extra consumption of network resources caused by the fact that the QoS client inquires the flow limiting query message from the QoS management end is avoided, and user experience is improved. Therefore, the performance of the distributed storage system is ensured while the service processing request is subjected to flow limiting.

A method performed by a first User Equipment, UE, for supporting Quality of Service, QoS, management for multi-hop communications between a remote UE and a Radio Access Network, RAN, node via a plurality of relay UEs, wherein a first relay UE in the plurality of relay UEs is connected to the RAN node, the remote UE and the first relay UE are interconnected via at least a second relay UE in the plurality of relay UEs, and wherein the first UE is one of the remote UE and the first relay UE, the method comprising. The first UE determines the first QoS information for the multi-hop communications between the remote UE and the first relay UE, wherein the first QoS information comprises a first value of a first QoS parameter and hop information that relates to the number of hops between the remote UE and the first relay UE. The first UE determines next hop QoS information for a hop from the first UE to the second relay UE, wherein the next hop QoS information comprises a next hop value of the first QoS parameter determined from the first value of the first QoS parameter and the hop information. And the first UE sends the first QoS information and the next hop QoS information to the second relay UE.

The invention relates to wireless network comprising an access point and non-AP stations. The station has traffic queues and associated a backoff counters which are decremented over time upon continuously sensing the medium as free during more than respective AIFS durations. To compensate additional opportunities provided by OFDMA RUs, a queue switches to an MU mode upon transmitting its data in an RU provided by the AP. To restore dynamicity of the backoff counters, frozen in the MU mode in the known techniques, embodiments provide the following at each expiry of one of the queue backoff counters: the current mode of the expiring traffic queue is determined; in case of legacy mode, the station accesses the channel to transmit data from the queue; whereas in case of MU mode, a new backoff value is drawn to reset the expiring backoff counter, without having data from the queue being transmitted.

Systems, methods, and computer software are disclosed for providing an Open Radio Access Network (RAN) networking infrastructure. In one embodiment a method is disclosed, comprising: providing real-time OpenRAN controller responsible for radio connection management, mobility management, QoS management, edge services, and interference management for the quality of end user experience; and providing a non-real-time controller in communication with the real-time OpenRAN controller, the non-real-time controller providing functionality such as configuration management, device management, fault management, performance management, and lifecycle management for all network elements in a network.

Embodiments of the present disclosure relate to a method and apparatus for QoS management in a wireless access backhaul network. According to some embodiments of the disclosure, a CN node may: receive QoS parameters from a wireless network node, wherein the wireless network node includes a BS part and an MT part; and establish a first PDU session with a UE served by the wireless network node based on the QoS parameters, or establish or modify a second PDU session for the MT part of the wireless network node based on the QoS parameters.

The present disclosure is related to UEs, a network node, and methods for QoS handling for multi-hop relay. A method at a network node for QoS management for a path between the network node and a remote UE via one or more relay UEs comprises: transmitting, to at least one UE among the remote UE and the one or more relay UEs, a first message indicating per-segment overall PC5 QoS information for at least one segment of the path.

Embodiments of the present disclosure provide a communication method and apparatus, a communication device, a communication system, and a storage medium. The communication method comprises: receiving first information, wherein the first information is used for indicating QoS parameters related to computing power openness of AI. By means of the embodiments of the present disclosure, QoS management for computing power sharing can be achieved.

A quality of service QoS management method includes: a first device sends first information, where the first information is for requesting QoS for a first service; the first device receives second information, where the second information indicates a QoS control manner and a QoS parameter of a first QoS flow, the first QoS flow is for transmitting a data flow of the first service, and the QoS control manner includes a first control manner for controlling based on a data packet group; and the first device performs QoS control on the data flow of the first service based on the second information.

Disclosed are computerized systems and methods for a decision intelligence (Dl)-based framework that automatically and / or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.

Systems, methods, and computer software are disclosed for providing an Open Radio Access Network (RAN) networking infrastructure. In one embodiment a method is disclosed, comprising: providing real-time OpenRAN controller responsible for radio connection management, mobility management, QoS management, edge services, and interference management for the quality of end user experience; and providing a non-real-time controller in communication with the real-time OpenRAN controller, the non-real-time controller providing functionality such as configuration management, device management, fault management, performance management, and lifecycle management for all network elements in a network.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.

A station (STA) in a wireless network is configured to transfer a stream classification service (SCS) protocol established with an access point (AP) to a different AP while roaming, including sending a frame to the AP causing the transfer, receiving a response from the AP regarding whether the transfer to the different AP has been accepted, rejected, or accepted conditionally and a set of alternative parameters for the SCS protocol, and seamlessly roaming to the different AP while maintaining the SCS protocol established for network traffic without establishing a new SCS protocol.

The invention relates to QoS management aspects for NR side links to support advanced V2X use cases. There is provided an apparatus of a first user equipment (UE) comprising one or more baseband processors to generate a message for a second UE to configure a new air interface (NR) vehicle-to-everything (V2X) link between the first UE and the second UE, where the message comprises a quality of service (QoS) metric to encode a plurality of QoS parameters for the NR V2X link; and encoding a packet of the second UE according to the QoS parameter. The apparatus may include a memory to store the message.