223 results about "Goodput" patented technology

A method, a network device, and a non-transitory computer-readable storage medium are described in relation to a coordinated domain-based low latency, low loss, and scalable throughput (L4S) service. The service may enable end-to-end congestion control based on a predetermined order of domains, which are associated with L4S devices that support a packet flow, for which congestion control responses are to be provided. The service may provide independent feedback loops of state information from each domain and associated L4S device. The feedback loops may operate on different timescales. The service may coordinate congestion control among domains of an end-to-end path that support the packet flow and prevent fragmented or contentious congestion control responses between the domains.

A UE is supplied with one or more UE Route Selection Policy (URSP) rules which include an indicator indicating support for a “L4S” Connection Capability. The use of an L4S connection capability indicator allows a UE to obtain L4S support for application traffic data requiring L4S support. The connection capabilities option in the URSP rule or rules allows a UE to select an appropriate route selection for matching L4S connection capability. By allowing a UE to indicate that a packet or packet flow is to be matched to a PDU session which has an L4S connection capability, the UE can trigger establishment of a new PDU session to support a flow of application data packets requiring L4S support or can cause the packet flow to be assigned to an existing PDU session or trigger a modification of an existing PDU Session which supports L4S.

The present application relates to the technical field of network communication, in particular to a network transmission method suitable for time deterministic service, which realizes transmission support for time deterministic service by receiving and analyzing time deterministic service demand and maintaining a soft time division time matrix composed of time windows; a full-link sensing method is used to acquire network resources and link state, and then appropriate route and sending time slice are allocated to the service through route allocation and time slice allocation, and relevant strategy is issued to each forwarding node, and the result of executing the strategy by the forwarding node meets the requirement of time determinacy of the service. Through the network transmission method, controllable transmission of deterministic service can be met, and maximum network throughput is maintained.

The present disclosure relates to accelerating table lookups using decoupled lookup table accelerators in a system on a chip. In various examples, a VPU and associated components can be optimized to improve VPU performance and throughput. For example, the VPU can include a min / max collector, an auto store prediction function, a SIMD data path organization that allows inter-lane sharing, a transpose load / store with stride parameter function, a load with permute and zero insertion function, a hardware, logic, and memory layout function to allow two-point and two-point by one lookups, and a per memory bank load cache function. Further, a decoupled accelerator can be used to offload VPU processing tasks to improve throughput and performance, and a hardware sequencer can be included in a DMA system to reduce programming complexity of the VPU and DMA system. The DMA and VPU can perform a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.

This invention discloses a user clustering method for ultra-dense networks, relating to the field of mobile communication technology. The method includes the following steps: selecting the users with the largest user interference vector values ​​in the ultra-dense network as root node users, and the remaining users as branch users; calculating and determining the relative interference vector values ​​between each branch user and the multiple root node users; when the relative interference vector value between a branch user and a certain root node user is less than the relative interference vector value between that branch user and other root node users, then that branch user is assigned to an interference vector cluster formed with that root node user, thus forming multiple interference vector clusters; calculating and determining the relative interference vector value between the interference vector value of the root node user in each interference vector cluster and the mean interference vector value of all users in the cluster, and determining the user clustering result. This invention is simple, improves system throughput and frequency utilization, and has strong applicability.

A method and apparatus for dynamically allocating resources for quality of service (QoS) aware and high-efficient workload consolidation in a multi-instance disaggregated memory system include, using a resource allocator, allocating resources to a latency-critical (LC) application and a batch application included in an application server based on a current system state determined at a preset interval, using a performance monitor, collecting performance data of the LC application and the batch application to which the resources are allocated, using a system state space explorer, exploring a system state based on the collected performance data of the LC application and the batch application, and based on the exploration of the system state, determining a subsequent system state expected to have improved throughput compared to throughput based on the current system state or satisfy the QoS.

This invention discloses a communication energy efficiency optimization method assisted by a smart metasurface and a movable antenna. This method is applicable to a downlink wireless communication system consisting of a base station, a smart metasurface, and a user terminal equipped with a movable antenna. To improve the energy efficiency of this communication system, this invention proposes a joint optimization method for base station beamforming, RIS reflection coefficient, and MA spatial location. Specifically, considering the energy consumption of base station transmission signals and MA movement, the proposed method constructs a communication system energy efficiency maximization problem under constraints of user communication service quality and MA movement range, and designs an alternating optimization algorithm based on continuous convex approximation. Simulation results show that, compared with traditional fixed antenna schemes and system throughput maximization schemes, the proposed scheme can effectively improve the system's energy efficiency.

A method for cell selection is provided. The method may include the following steps. A user equipment (UE) may determine whether a current cell is a power-saving cell, a high-throughput cell or a power-saving and high-throughput cell based on a plurality of parameters configured by a network node. Then, the UE may determine whether to perform a cell selection in response to the current cell being a power-saving cell, a high-throughput cell or a power-saving and high-throughput cell.

This invention provides a method for receiving PPDU in a wireless communication system. [Solution] The terminal receives an EHT PPDU (Physical Layer Protocol Data Unit) from an AP (Access Point) that includes one or more EHT (Extremely High Throughput)-SIG (signal) content channels. Each of the one or more EHT-SIG content channels includes a common field containing at least one first resource unit (RU) assignment subfield and a user-specific field. The STA then identifies whether the common field further includes at least one second RU assignment subfield and can decode the PPDU based on whether the common field further includes at least one second RU assignment subfield.

The perception-assisted predictive handover method in the high-speed railway tunnel scene of the application belongs to the technical field of wireless communication and intelligent transportation, and the steps include: constructing a bistatic communication and perception integrated architecture, establishing a communication and perception signal model considering double selective channels, deducing a lower bound of Cramer-Rao based on joint time delay-Doppler parameter estimation to establish a perception-assisted location prediction model, designing a three-state predictive handover mechanism based on perception information, and proposing a perception-assisted dual deep Q network algorithm, jointly optimizing handover decision, clamp antenna configuration and power allocation. By integrating perception capability into handover decision, the application realizes predictive switching before signal degradation, significantly improving the handover success rate and communication throughput in the high-speed railway tunnel scene.

The present application belongs to the technical field of wireless communication network, and discloses a kind of passive Internet of Things dynamic resource management method and system, electronic equipment.The present application first constructs passive Internet of Things system model, passive Internet of Things system model includes a wireless radio base station, multiple passive users and a communication terminal;Then based on nonlinear radio frequency signal energy collection model, define the system throughput index for fairness;Afterwards, the optimization problem of maximizing the system throughput index for fairness is constructed, and the optimization problem is the collaborative optimization problem of wireless energy transmission strategy of wireless radio base station and wireless communication duration of multiple passive users;Finally, the optimization problem is solved, and the optimal configuration information is obtained.The present application can consider fairness and throughput, can realize the expected optimization performance, and can realize dynamic multi-domain resource collaborative optimization.

Logic to generate a 320 megahertz (MHz) extremely high throughput (EHT) physical layer protocol data unit (PPDU) comprising a multi-resource unit (MRU). Logic to generation of a non-orthogonal frequency division multiple access (non-OFDMA) 320 MHz EHT PPDU, wherein the MRU comprises a 240 MHz multi-MRU, the 240 MHz MRU comprising at least two contiguous 996 tone resource units (RUs). Logic to generation of an OFDMA 320 MHz EHT PPDU, wherein the MRU comprises at least one 996 tone RU and one 484 tone RU. Logic to cause the transmission of the 320 MHz EHT PPDU. And logic to receive and decode the 320 MHz EHT PPDU.

The present disclosure relates to a 5G or pre-5G communication system to be provided in order to support higher data transmission rates than 4G communication systems such as LTE. According to an embodiment of the present disclosure, a method performed by a session management function (SMF) entity in a communication system is provided, the method comprising the steps of: identifying that an explicit congestion notification (ECN) marking function for a low latency, low loss and scalable throughput (L4S) service is activated in a source radio access network (S-RAN) of a terminal but the ECN marking function for the L4S is not activated in a target RAN (T-RAN) of the terminal; and transmitting information requesting activation of the ECN marking function for the L4S to a user plane function (UPF) entity on the basis of identifying that the explicit congestion notification (ECN) marking function for the L4S service is activated in the S-RAN of a terminal but the ECN marking function for the L4S is not activated in the T-RAN of the terminal.

DEPCT68 What is provided in this request are the methods and tools for structuring workloads for CDN nodes. And electronic devices and intermediaries, including the assembly method: obtaining traffic characteristics. Regarding the target CP device, which serves as a server for the CDN node; Implementing IO usage of the target CP device that does not exceed the upper limit of IO throughput. As a limitation and based on the traffic characteristics of the target CP device, the decision... Determine the maximum traffic volume of services that can be achieved by the target CP device: The decision to schedule traffic for reference services of the target CP equipment is based on... From the maximum service traffic that can be achieved by the CP target and status. The hardware workload of the target CP device; and the allocation of the CDN node workload to the device. CP target based on traffic of reference service for CP target equipment;

A method of allocating uplink resources in wireless communications network. The wireless communication network includes a plurality of UEs and a base station (BS). The method includes the steps of: for each of the UEs, setting up a signal quality record for RBs; estimating a requirement of RBs for each of the UEs, based on a measured signal quality at the UE; selecting an optimal sub-band in a spectrum for each of the UEs based on their respective requirements of RBs; and updating the signal quality record for each of the UEs based on an updated signal quality at the UE in the optimal sub-band. Therefore, the uplink resource allocation method is provided with feedback loops, which enhance the overall throughput performance.

Various embodiments include a system that comprises processing circuitry in an access node. The processing circuitry receives a measurement report from a user device that characterizes a user device session requirement and an access node radio condition. The processing circuitry determines a throughput requirement for a session of the user device based on the user device session requirement and the access node radio condition. The processing circuitry selects one or more network slice features of the network slice that the user device is assigned to based on the throughput requirement and an access node capacity. The processing circuitry enables the one or more selected network slice features for the session of the user device. The processing circuitry exchanges user data with the user device via the network slice using the one or more enabled network slice features for the session.

This application provides a phase tracking method, apparatus, device, and medium for a multi-user system receiver, applied to a target WiFi receiver; the method includes: demodulating an ultra-high throughput modulated signal to obtain a corresponding ultra-high throughput signal field, extracting each user-specific configuration block of the ultra-high throughput signal field, verifying the user-specific configuration block to obtain a verification result, determining a joint pilot set based on the verification result, and performing phase tracking based on the joint pilot set using a digital phase-locked loop.

This invention belongs to the field of communication technology, and specifically relates to an adaptive data compression and transmission method and apparatus based on SSD thermal behavior in an edge network environment. Its main features include the following steps: S1, deploying an edge box device between a mobile terminal device and a local network; the mobile terminal device connects to the edge box device via a wired connection; the edge box device connects to a 5G base station via a 5G CPE (Network Premises Equipment); S2, the mobile terminal device uploads the data to be transmitted to the edge box; the edge box performs security verification on the user's identity and the data to be transmitted; if the verification is successful, proceed to step S3; otherwise, terminate the transmission and display an illegal operation message; S3, the data to be transmitted is fragmented, and each data fragment is compressed and stored using a multi-threaded parallel approach; simultaneously, the temperature of the SSD storage medium is monitored to dynamically adjust the number of parallel compression threads and the SSD storage strategy; S4, the compressed data fragments are distributed to multiple communication paths and transmitted to a private cloud according to a multi-path load balancing strategy; the integrity of the data fragment transmission is monitored synchronously, and retransmission is performed for data that fails to transmit. While ensuring the long-term safe operation of SSDs, this invention can balance system throughput and hardware lifespan, achieving the goals of high throughput, high reliability, and low latency in edge data transmission systems.

The present application relates to a communication device, a control method of a communication device, a program product, and a storage medium, and provides a technique for appropriately allocating throughput. A communication device capable of relaying data acquired via a network to one or more other communication devices, the data communication device comprising: an acquisition mechanism that acquires information of a maximum throughput of the communication device; a connection mechanism that connects with the one or more other communication devices; and a decision mechanism that decides a transmission throughput of transmitting data to each of the one or more other communication devices based on the number of connections of the one or more other communication devices and the information of the maximum throughput.

Key-value (KV) caching accelerates inference in large language models (LLMs) by allowing the attention operation to scale linearly rather than quadratically with the overall sequence length. Due to large context lengths in modern LLMs, the KV cache size can exceed the model size, negatively impacting throughput. To address this issue, a multi-granular clustering-based solution for KV cache compression can be implemented. Key tensors and value tensors corresponding to unimportant tokens can be approximated using clusters generated at different clustering levels with varying accuracy. Accuracy loss can be mitigated by using proxies generated at a finer clustering level for a subset of attention heads that are more significant.More significant attention heads can have a greater impact on model accuracy than less significant attention heads. Latency is improved by retrieving proxies from a faster memory for a subset of less significant attention heads when the impact on accuracy is smaller.

The application relates to a resource allocation method and a resource allocation device. The method comprises the following steps: receiving at least one computing task request sent by a power internet of things device; distributing each computing task request to a low-delay network slice and a high-throughput network slice; calculating a first task demand parameter of a first computing task request included in the low-delay network slice; calculating a second task demand parameter of a second computing task request included in the high-throughput network slice; and determining the computing power resource allocated to each computing task request according to the first task demand parameter and the second task demand parameter. The method can improve the utilization rate of the computing power resource.

This application discloses a node election method and related apparatus, belonging to the field of computer technology. In this method, network state describes the network situation between the corresponding node and other nodes in the distributed system, and application state describes the corresponding node's handling of data access requests initiated by clients. Therefore, by combining the network state and application state of multiple nodes, the utility value of each node can be dynamically determined. Moreover, determining the utility value of a node from multiple dimensions results in high accuracy. Since the utility value refers to the performance improvement brought to the distributed system after a node is elected as the master node, selecting the node with the highest utility value as the new master node can improve the accuracy and effectiveness of master node election, thereby significantly reducing transaction latency and improving system throughput and stability.

Systems and methods are provided for providing explicit MU-MIMO pairing indicator. Methods include maintaining a profile of one or more wireless devices in a wireless network using MU-MIMO. Methods further include receiving an indicator from one or more access nodes identifying MU-MIMO pairing for one or more wireless devices. Methods further include adjusting one or more of beamforming, layer assignment or throughput of the wireless network.

The application discloses a kind of distributed database two-stage transaction submission method and device based on RDMA, it is related to distributed database high-performance transaction processing technical field, comprising: in pre-commitment stage, data jump is completed using RDMA unilateral writing operation;Through polling, transaction redo log data is written successfully;In the submission stage, the atomic update submission state flag bit is carried out through the RDMA atomic comparison and exchange operation;When the number of successful times reaches the majority threshold value through polling RDMA completion queue, exit waiting loop and execute consensus achievement processing. It can eliminate the multiple network round trip and software processing delay in traditional protocol, so that the end-to-end transaction delay is reduced from the software protocol level to the hardware network level, the system CPU resources are released so that it does not need to participate in the protocol processing, so that the computing resources can be efficiently utilized, and the overall throughput and concurrent processing capacity of the distributed cluster are significantly improved.

A method, a network device, and a non-transitory computer-readable storage medium are described in relation to a low latency, low loss, and scalable throughput (L4S)-triggered prioritized connection service. The L4S-triggered prioritized connection service may enable an evolved packet data gateway (ePDG) to provision prioritized and non-prioritized tunnels with end devices via untrusted wireless local area networks. The prioritized tunnel may support L4S or another quality of service in which the ePDG may provide prioritized data forwarding. The end device may transmit a request that includes priority data.

This application relates to the field of vehicle-to-everything (V2X) resource allocation technology, and particularly to a method for V2X inter-frequency cooperative resource allocation for short-range communication. The method includes: constructing a V2X system for wireless data transmission; the V2X system operating simultaneously in licensed and unlicensed frequency bands; constructing a coexistence model of heterogeneous V2X networks in the unlicensed frequency band; constructing a channel model of the V2X network in the licensed frequency band; constructing a resource allocation optimization problem with the objective of maximizing total V2V throughput; and decomposing the optimization problem into sub-problems for solving. Sub-problems include a first sub-problem of backoff window parameter optimization and a second sub-problem of power and resource allocation. The method designed in this application addresses the difficulty in resource allocation caused by the limited resources in licensed frequency bands and the difficulty in coexisting heterogeneous networks in unlicensed frequency bands.

Systems and techniques for optimizing utilization of hostlers of a hub based on a dual-stream resource optimization (DSRO). In embodiments, a dual-stream optimization model is utilized, incorporating a consolidated time-space network and a deconsolidated time-space network spanning a planning horizon. The model identifies hostler operations and pairs them based on proximity criteria, forming operation pairs that lead to higher unit throughput within the hub. An optimized hostler operation schedule is generated for implementation during the planning horizon. The system also includes a feature for automatically transmitting a control signal to a hostler control system to direct a hostler to execute the paired operations in accordance with the pairing.

Devices, networks, systems, methods, and processes for congestion signaling in a communication network are provided herein. Congestion signaling can be performed from a lower protocol layer circuit of a network device of the communication network to a higher protocol layer circuit of the network device. The lower protocol layer circuit can maintain a low latency, low loss, and scalable throughput (L4S) data queue. The L4S data queue can buffer one or more L4S data packets of at least one L4S data flow for transmission. The lower protocol layer circuit can also detect congestion in the L4S data queue and transmit a congestion signal to the higher protocol layer circuit, the congestion signal configured to indicate the detected congestion. The transmission of the congestion signal can enable the higher protocol layer circuit to mark one or more subsequent L4S data packets of the L4S data flow to indicate the congestion.