1081 results about "Goodput" patented technology

The invention discloses a TSN scheduling optimization method and device based on flow sensing autonomous learning, equipment and a medium. The method comprises the following steps: deploying a lightweight flow detection module in a switch or a router, and after a controller receives a data request, automatically identifying a newly arrived unknown service flow by using the lightweight flow detection module, and judging whether the newly arrived unknown service flow is a periodic TT flow or an unpredictable burst flow; the controller performs classification management on the identified service flow types, collects topological information and flow requirements of the whole network and issues the topological information and the flow requirements to the terminal nodes through a network management interface; the controller constructs an intelligent queue scheduling task based on the collected network topology information and traffic demand and converts the task into a Markov decision process MDP, network resources, queue states and priorities are used as a state space, a scheduling strategy is used as an action space, a reward function is designed in combination with throughput and delay indexes, and an intelligent queue scheduling task is obtained. Driving a dynamic environment through real-time data and training a DRL model; an enhanced queue scheduling mechanism Pro-CQF is adopted, different priority labels are configured according to classified flow types, and then mixed flow scheduling is carried out; the controller periodically collects time delay, packet loss rate and end-to-end transmission delay indexes and feeds back the indexes to the DRL model, and a scheduling strategy is updated online. According to the method, the traffic sensing and scheduling efficiency is greatly improved in a network environment in which multiple service flows coexist and end-side equipment functions are different, and the reliability and the expandability of the TSN in industrial Internet of Things, edge computing and other high-real-time application scenes are remarkably enhanced.

Extended Reality (XR) applications may require high throughput and very low latency. New Radio (NR) Wireless receiver / transmitter units (WTRUs) running XR applications (XR-WTRUs) may be confronted with link failures when these applications are used in dense urban or indoor environments because of these devices operating in the millimeter band. Methods and devices are provided therefore for performing cell selection and beam management proactively to avoid link failure due to objects being in line of sight between the XR-WTRU and a network node with which it has established a connection. XR-WTRUs may therefore perform visual sensing that may enable visualizing current and future radio environment and using this information to prevent link failures by handing the XR-WTRU over to an alternative network node in line of sight of the XR-WTRU before the XR-WTRU is no longer in line of sight of the network node with which it has established a connection.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, at a first modem and from a first device, one or more data packets. Based on an explicit congestion notification (ECN) capable transport (ECT) codepoint indication in respective header portions of the data packets, the UE may route the data packets from the first modem to two or more queues associated with a second modem of the UE. Based on receiving buffer and link state information associated with the second modem, the UE may perform a congestion indication procedure that is associated with congestion of a communication link associated with the UE. The UE may thereafter transmit, to a second device, packet data from the two or more queues associated with the second modem of the UE based on a respective priority associated with the two or more queues.

The provided is an anti-radiation low-latency chip for neural network inference acceleration. The following steps are included: deploying a neural network inference acceleration chip at a frontend of a detector, using a streaming architecture to correspond each pipeline stage to each major neural network layer, balancing a limited on-chip memory resource and support for a large-sized input, and constructing layer parallelism, channel parallelism, and convolution kernel parallelism. This application proposes to deploy an anti-radiation, low-latency, and efficient chip for convolutional neural network (CNN) inference acceleration is deployed at the frontend of the detector to improve an intelligence level of future detector hardware. To this end, a fine-grained streaming architecture, and fine-grained storage management, flexible compression and quantization, and anti-radiation digital chip design technologies are proposed to achieve a high throughput and a low on-chip memory consumption while achieving anti-radiation and low-latency inference.

The invention discloses a GPU Box hardware decoupling system based on a Retimer card and a PCIe Switch chip, and belongs to the technical field of computer hardware architecture and high-speed interconnection. According to the system, a Retimer card and a PCIe Switch chip are integrated in an independent GPU Box, and a decoupling link of a CPU server and a GPU acceleration card is constructed; the Retimer card realizes 30-meter long-distance PCIe signal transmission and breaks through physical distance limitation; the PCIe Switch chip pools GPU resources through a dynamic routing and MRIOV technology, supports flexible allocation of computing power by multiple servers, and realizes Peer-to-Peer direct connection communication between GPUs. Aiming at a large model reasoning scene, the system optimizes KV cache bandwidth allocation and video memory and memory cooperative scheduling, so that the 100B parameter model reasoning throughput is greatly improved; and meanwhile, the usability of the system is greatly improved through fault isolation and hot plug design. According to the method, the problems of physical binding of the CPU and the GPU, limited transmission distance, rigid resource allocation and the like in a traditional architecture are solved, and the method is suitable for large-scale AI calculation and distributed GPU cluster deployment.

The invention relates to the technical field of computers, discloses a heterogeneous computing low-delay communication method and system, and aims to solve the problem of high delay caused by high communication protocol overhead, lack of dynamic scheduling collaboration, memory migration redundancy and non-uniform cross-node communication abstraction in existing heterogeneous computing. The method comprises the following steps: receiving a task scheduling request and analyzing a task dependency graph; tasks are dynamically allocated based on node loads and link states; rDMA, NVLink or PCIe straight-through protocols are adaptively selected according to node types to establish communication channels; zero-copy data exchange is realized through a shared memory mapping buffer area; hardware timestamps are utilized to synchronize feedback delays with PTP to optimize scheduling. The system comprises a heterogeneous computing node cluster, a unified communication scheduling controller, a low-delay communication protocol stack, a shared memory mapping buffer area and a communication delay sensing task distributor. According to the scheme, the communication delay is remarkably reduced, and the throughput and the task execution efficiency are improved.

Methods related to wireless communication systems and uplink (UL) rank adaptation are provided. A user equipment (UE) receives, from a base station (BS), a configuration indicating a resource associated with a plurality of UL reference signal ports. The UE determines, based on at least one of an overheating status, a throughput, or a latency, a quantity of transmission layers for a transmission. The UE transmits, to the BS, an indication of at least one of (1) one or more UL reference signal ports of the plurality of UL reference signal resources associated with the UL reference signal resource based on the quantity of transmission layers, or (2) a number of UL reference signal ports associated with the multi-port UL reference signal resource based on the quantity of transmission layers.

The invention relates to the technical field of data communication, and discloses an intelligent agent high-speed bus implementation method and system based on an FPGA and a dynamic smoothing technology. The method comprises the following steps: constructing a single handshake message through a lightweight protocol, adjusting network indexes by adopting an exponential smoothing method, constructing a pipeline processing unit in an FPGA card by utilizing a VHDL, realizing key updating and encryption processing, constructing a three-layer adaptive structure connection subsystem, and optimizing algorithm parameters and resource allocation according to a running state. And a high-performance bus communication system is formed. On the premise of ensuring the communication security and reliability, the network transmission delay is remarkably reduced, and the data throughput is improved, so that the communication system can meet the requirements of emergency linkage and large data volume transmission in a scene (such as a rail transit station-level system) with a high real-time requirement.

Methods, apparatuses, and computer readable media for basic service set (BSS) channel operation are disclosed. Apparatuses of a station (STA) are disclosed, where the apparatuses comprise processing circuitry configured to decode a first frame, the first frame comprising an extremely-high throughput (EHT) operation information field, the EHT operation information field comprising a channel width subfield and a channel center frequency segment, the channel width subfield indicating a basic service set (BSS) contiguous channel width, and the channel center frequency segment indicating a channel center frequency for the BSS channel width on which the BSS operates in 6 GHz. The processing circuitry further configured to encode for transmission a second frame for transmission on a primary channel within the BSS channel width.

The invention relates to the technical field of distributed computing and deep learning, and discloses a computing power pool intelligent integration and elastic scheduling method based on deep learning, and the method comprises the steps: constructing a multi-level graph convolution network, and carrying out the modeling of a dynamic interaction relation between micro-services; constructing a multi-dimensional scoring model based on the computing power state index and the network state index; dynamically adjusting the micro-service granularity according to the task characteristics and the resource state; predicting a service interaction mode and a resource demand change by utilizing graph reinforcement learning; searching an optimal service deployment scheme by adopting a multi-objective optimization algorithm; according to the method, the resource utilization rate is improved through dynamic service granularity adjustment and computing power aware routing, predictive resource isolation and service capacity expansion are realized based on graph reinforcement learning, dynamic balance of delay, throughput and resource efficiency is realized by adopting multi-objective optimization, the problems of resource fragmentation and performance interference are effectively solved, and the resource utilization rate is improved. And the stability and the reliability of the system are obviously improved.

The invention provides an on-chip network router, and a transmission method and device for routing data in an on-chip network, and the router comprises a row module and a column module which are mutually independent physically, so as to achieve the dimension decoupling of a data flow; wherein each of the row module and the column module comprises a crossbar switch and an arbitration unit coupled with the crossbar switch; the arbitration unit is configured to execute an arbitration decision on only one request in a conflict-free request pair when the two input ports of the crossbar switch request to be connected to the two different output ports respectively to form the conflict-free request pair, and to execute an arbitration decision on the conflict-free request pair based on the result of the arbitration decision. A data path is automatically established for another request in the conflict-free request pair to achieve mirroring effect arbitration. The router adopts the row and column decoupling type architecture and is matched with a mirror effect arbitration mechanism, so that resource competition is effectively reduced, arbitration logic is simplified, and the throughput and efficiency of the network-on-chip router are improved.

The invention discloses a quantum key dynamic management method and system of a power wireless communication network. The method comprises the following steps: constructing a three-level service security model: dividing power services into high, middle and low three-level security levels, and differentially configuring key basic parameters; secondly, proposing a dynamic key updating algorithm, adjusting a key updating period and a quantum key window in real time based on a communication state and a flow load, and dynamically expanding the updating period and the size of the key window according to the change of throughput; and finally, setting an attack response strategy, automatically shortening an update period and enhancing key strength when an anomaly is detected, and improving the security of a power wireless communication scene. According to the quantum key dynamic management method disclosed by the invention, the problem of security risk caused by the fact that a traditional fixed quantum key update period cannot meet the communication state of a power wireless communication network and the real-time change of traffic load is solved.

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.

The invention provides an Internet of Vehicles data sharing and storage model based on a double-layer block chain, and aims to solve the problems of low data interaction efficiency, poor expansibility, insufficient security and the like in the traditional Internet of Vehicles. According to the model, road side units are grouped geographically, an optimized Raft protocol is adopted in each group to realize rapid consensus, and an improved PBFT protocol is adopted among the groups to ensure global consistency. Self-adaptive leader election, batch processing and assembly line mechanisms are introduced into the Raft protocol, so that the throughput and response speed of the system are improved; a reputation value-based VRF main node election mechanism and a BLS aggregation signature technology are introduced into the PBFT protocol, so that the communication complexity is reduced, and the system security and fault-tolerant capability are enhanced. According to the method, the fault-tolerant rate and the message complexity of the system are analyzed theoretically, the advantages of the system in the aspects of throughput, time delay and fault-tolerant performance are verified through simulation experiments, and the method is suitable for large-scale and high-concurrency car networking application scenes.

A communication device communicates a radio frame including a preamble and a data field of a physical layer (PHY). The preamble includes an L-STF (Legacy Short Training Field), an L-LTF (Legacy Long Training Field), an L-SIG (Legacy Signal Field), an EHT-SIG-A (Extremely High Throughput Signal A Field), an EHT-STF (EHT Short Training Field), and an EHT-LTF (EHT Long Training Field), and the EHT-SIG-A includes a subfield indicating whether data are concurrently transmitted from a plurality of communication devices to a common partner device.

To improve communication quality / throughput.SOLUTION: A terminal according to an aspect of the present disclosure has: a transmission section that transmits a first uplink (UL) channel notifying a second UL channel for transmitting a beam report (UEIBR) started by the terminal; and a control section that, when UL control information (UCI) for the UEIBR cannot be transmitted, controls re-transmission of the UCI. The control section determines not to re-transmit the UCI on the basis of a specific condition.SELECTED DRAWING: Figure 3

The invention discloses an ocean buoy selection access method under a satellite communication network, which comprises the following steps: based on a time slot framework, sensing the link state of a coverage satellite in real time through buoy equipment at the beginning of each time slot, fusing multi-dimensional parameters such as signal strength, bandwidth and time delay, and quantifying the link quality by using a channel estimation algorithm; an optimal satellite link is dynamically selected through a deep reinforcement learning intelligent decision algorithm, and multi-target collaborative optimization of throughput maximization, inter-satellite load balance and access delay minimization is realized; in the execution stage, reliable access is completed by adopting a standardized four-way handshake mechanism, and meanwhile, invalid links are actively avoided through an elevation coverage model. The method has the advantages that the communication efficiency and reliability of a dense buoy area are improved, the computing power requirement of a miniaturized buoy terminal is reduced, and a core support of a self-adaptive dynamic environment is provided for a global ocean monitoring network.

The invention discloses a server cipher machine communication method and system based on an RDMA technology. According to the method, physical direct connection between a device end and an agent end is achieved by establishing an RDMA reliable connection channel; bidirectional authentication is carried out based on an SPDM protocol; a random challenge is generated after the device side verifies a proxy side certificate, and key exchange is triggered after a proxy side private key signature response and the verification of the device side are passed; the two parties adopt an SM2 public key algorithm to generate a shared key and derive a session key KEK; the proxy end encrypts the request data by using the KEK, and writes the encrypted data into the SMZ secure memory of the equipment end through the RDMA Write; the equipment end processes data through a hardware password engine, and directly writes an additional timestamp, a serial number and a result packet of MAC authentication to an appointed address of the agent end through RDMAWrite; and when the communication is finished, the device end erases the key and resets the engine. According to the invention, the problems of large delay, low throughput, low security, large CPU occupancy rate and the like in the prior art can be solved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, at a first modem and from a first device, one or more data packets. Based on an explicit congestion notification (ECN) capable transport (ECT) codepoint indication in respective header portions of the data packets, the UE may route the data packets from the first modem to two or more queues associated with a second modem of the UE. Based on receiving buffer and link state information associated with the second modem, the UE may perform a congestion indication procedure that is associated with congestion of a communication link associated with the UE. The UE may thereafter transmit, to a second device, packet data from the two or more queues associated with the second modem of the UE based on a respective priority associated with the two or more queues.

Aspects of the disclosure are directed to downlink radio layer and uplink radio layer aspects of communication. Specifically, communication via low latency, low loss, and scalable throughput (L4S).

The invention provides a cloud side end collaborative cross-domain data transmission system and method, and relates to the field of data processing, and the method comprises the steps: based on the collaboration of a cloud center, an edge node and an equipment end, the cloud center carries out the fragmentation of to-be-issued transmission data to obtain a first data fragment, and carries out the recombination of an uploaded second data fragment; the edge node dynamically selects the optimal transmission path of the data fragments and schedules the transmission of the data fragments; and the device end fragments to-be-uploaded transmission data to obtain a second data fragment, and recombines the first data fragment. The system and the method provided by the invention are suitable for a heterogeneous network, and the data transmission efficiency is greatly improved by performing fragmentation processing on the transmission data and combining a priority transmission mechanism; by dynamically selecting the optimal transmission path of the data fragments, multi-link aggregation is realized, the throughput under multiple network scenes is greatly improved compared with a traditional scheme, and self-adaption of a heterogeneous network can be realized.

The invention discloses a partition network architecture, a routing method, equipment, a medium and a program product, and relates to the technical field of routing, a target network is divided into a plurality of network partitions, first nodes of the network partitions are connected through configured second ports, and therefore interconnection between the network partitions is achieved; when a multicast message needs to be transmitted, transmission between nodes in the same network partition can be realized through the first port and the second port; and meanwhile, the cross-region transmission of the multicast message is realized by using the second port. Each network partition can independently transmit messages in parallel in the partition, cache competition is reduced, the synchronization of multicast routing is optimized, a special multicast message transmission channel between the network partitions is realized by independently arranging a second port for a first node, delay caused by long-distance transmission of the messages is reduced, and the service life of the network partitions is prolonged. The message transmission delay and the blocking risk of the target network are significantly reduced, and the energy efficiency and throughput of the target network are improved.

A wireless communication apparatus, method or protocol for wireless STAs using CSMA / CA on a wireless local area network (WLAN). A receiver STA receives MSDUs or A-MSDUs which include an expiration time, from a transmitter STA. The receiver STA stores the MSDUs or A-MSDUs with expiration time in its receive reordering buffer of the corresponding high-throughput (HT)-immediate block acknowledgement (Ack) agreement. The receiver STA passes the MSDU or A-MSDU to a next MAC process before an expiration time of the MSDU or A-MSDU. Thus, the percentage of latency sensitive traffic packets being communicated prior to expiration is increased.

The invention discloses an efficient double-link block chain consensus method and device, equipment and a storage medium, and belongs to the field of information security. The method comprises an initialization stage, an input stage, a coding stage, a broadcasting stage and a consensus stage. According to the invention, the parallel design of a coding broadcast link and a consensus confirmation link is adopted, so that the occurrence frequency of transaction congestion is reduced; the integrity required by the asynchronous Byzantine consensus process is realized through three-step broadcasting, the updating problem of the post-quantum component does not need to be considered, and the security is higher; an asynchronous network and a Byzantine opponent model are adopted, so that malicious node attacks which do not exceed the total number of nodes can be tolerated on the premise of not setting a network time delay upper limit; in the encoding stage, the generation of the redundancy share through the RS erasure code can be realized by adopting preprocessing, the data redundancy expansion multiple in the broadcasting stage is far smaller than that of the same type of protocol, and the original transaction can be recovered by collecting part of effective shares in the consensus stage, so that the system time delay is effectively reduced, and the system throughput is improved.

The invention discloses a decentralized high-performance multicast method and system based on Gossip and RDMA, and relates to the field of computer network communication. The method has better reliability, realizes zero-loss transmission of data packets through message de-duplication, timeout retransmission, ACK / NACK convergence and a dynamic topology adaptation mechanism, ensures data consistency, and solves the problem of insufficient reliability of traditional UDP multicast; the method has the advantages that the real-time performance is high, the delay is low, the throughput is high, the zero copy and kernel bypass characteristics of the RDMA and the batch processing mechanism of the MPMC are combined, the average delay is lower than 10 microseconds, the throughput in a large data packet scene reaches 374GB / s, and the low-delay requirements of high-frequency transaction, high-performance calculation and the like are met; the method has high expansibility, is based on a decentralized architecture of an improved Gossip protocol, does not need core node maintenance topology, supports dynamic joining or quitting of nodes, can adapt to large-scale cluster expansion, and solves the expansibility bottleneck of centralized multicast.

The invention relates to the technical field of large model reasoning, in particular to a reasoning performance optimization method and system based on a large model, and the method comprises the following steps: initializing a reasoning performance optimization agent; collecting hardware environment indexes in real time, wherein the hardware environment indexes comprise a video memory utilization rate, a CPU (Central Processing Unit) exchange number, residual video card resources, storage IOPS (Input / Output Per Second) and network throughput; the method has the beneficial effects that related statistical indexes, including model types, model weight file total volume, model average sequence length, the number of tokens per second output by the model, first token time of the model, a display card list occupied by the model, the size of a KVcache block, the size of a KVcache sliding window and the like, of each model in a service system are comprehensively collected and analyzed; the system performance is comprehensively evaluated, and the defects that in the prior art, performance evaluation is not comprehensive, and a real-time monitoring mechanism for key indexes such as memory occupation and network bandwidth is lacked are overcome.

Systems and methods are disclosed for optimizing network routing and data processing through dynamic route optimization. The invention features a dynamic route optimization engine that uses real-time performance metrics such as latency, bandwidth availability, memory utilization, CPU load, and throughput capacity. It allows for rule-based configurations, enabling custom parameters for transaction processing, data retrieval, and user authorization. Integration with network monitoring tools provides continuous visibility into network performance. The system supports multi-cloud and hybrid cloud environments, dynamically selecting optimal paths based on real-time conditions and regulatory compliance. Predictive analytics anticipate network congestion, allowing proactive routing adjustments. Adaptive algorithms learn from past conditions to optimize performance continuously. Scalability is achieved through automated updates to routing tables and security groups. The invention reduces latency and ensuring efficient data transfer, providing a cost-effective and reliable solution for modern network management, addressing a long-standing need for adaptability and efficiency in network routing.

A device may include a processor configured to detect a Protocol Data Unit (PDU) session associated with a user equipment (UE) device. The processor may be further configured to obtain at least one congestion metric value for a base station associated with the PDU session; determine that the obtained at least one congestion metric value is less than a maximum throughput enforcement threshold; and override a maximum throughput enforcement policy on a User Plane Function (UPF) associated with the UE device, based on determining that the obtained at least one congestion metric value is less than the maximum throughput enforcement threshold.

This application provides a network configuration method, a communication apparatus, and a related device. In the method, a network device determines a configuration manner of a plurality of supplementary uplink carriers used for uplink transmission, and processes the plurality of supplementary uplink carriers in the configuration manner. That the network device processes the plurality of supplementary uplink carriers in the configuration manner includes: skipping broadcasting information about the plurality of supplementary uplink carriers; or broadcasting information about the plurality of supplementary uplink carriers by using one piece of remaining minimum system information RMSI; or broadcasting information about any one of the plurality of supplementary uplink carriers by using one piece of remaining minimum system information RMSI. It can be learned that in this method, the plurality of SUL carriers may be configured, so that an SUL carrier capacity can be increased. In addition, the network device may not broadcast information about one or more SUL carriers or may broadcast information about one or more SUL carriers by using only one SSB or one piece of RMSI, so that system overheads are reduced, thereby improving uplink / downlink throughput.

The invention belongs to the field of computer networks, data compression and mobile internet and wireless communication, and discloses a TCP (Transmission Control Protocol) data packet compression and aggregation self-adaption method, which comprises the following steps of: 1, receiving a TCP data packet and separating a header from a payload; step 2, storing the effective load part; step 3, compressing the head and updating context data according to the serial number, the confirmation number, the mark and the window size field of the head; step 4, combining the compressed header with the effective load to obtain a compressed message; 5, extracting the compressed messages according to a set aggregation threshold value, aggregating the compressed messages, and sending the aggregated compressed messages to a data link layer; and step 6, storing the operation records, comparing the operation records with the previous N operation records, and changing a set aggregation threshold according to a comparison result. According to the invention, the message can be efficiently processed under the condition of a complex network, so that the overall network throughput and the message processing efficiency are improved.