8 results about "Net-centric" patented technology

The present invention discloses a resource allocation method based on reinforcement learning in a user-centric wireless optical communication network, including: calculating the channel gain between the user terminal and the access point; clustering the users by using the K-means clustering algorithm; associating the access point with the user to construct a user-centric cell; expressing the optimization problem of determining the modulation mode allocation and power allocation strategy under the constraints of clipping distortion and power to achieve the maximum total throughput; corresponding the optimization problem to the reinforcement learning problem, solving the reinforcement learning problem by using the Q learning algorithm, and obtaining the allocation strategy. The throughput and interruption probability that can be achieved by the present invention are superior to those of the traditional network-centric wireless optical communication system.

Various aspects of the present disclosure relate to a UE for wireless communication, comprising: at least one memory configured for storing first configuration information which is not associated with a network slice of a network, the first configuration information comprising a service descriptor; and at least one processor coupled with the at least one memory and configured to cause the UE to: transmit a connectivity request message to the network to request a data session, the connectivity request message comprising the service descriptor; and receive a connectivity response message from the network, the connectivity response message including a first network slice identifier in association with the service descriptor, wherein the first network slice identifier identifies a first network slice of the network.

Method for network-centric resource allocation for sidelink positioning within a wireless communication system having at least one user equipment (UE), characterized in that the at least one user equipment (UE) initiates an indirect or / and direct resource allocation for a sidelink positioning procedure, and the positioning procedure itself is triggered by a user equipment (UE) or any other node.

The invention provides a database query task RDMA unloading method and system based on a multistage assembly line, and relates to the technical field of RDMA networks and database query acceleration. Forwarding and unloading of database query task data are directly completed through an RDMA network and memory units of different computing node units; wherein the calculation of the database query task comprises a single-task operation mode and a multi-task fusion operation mode, and when the issued task is in the multi-task fusion operation mode, corresponding calculation node units are selected according to basic operations contained in multiple tasks to form pipeline operation; after the calculation result generated in the middle is directly forwarded to the memory unit corresponding to the calculation node unit, the calculation result is directly cached to the memory unit of the next-level calculation node unit through the RDMA network, the next-level calculation node unit reads the middle result in the memory unit to continue operation, and so on until the final result is returned to the CPU memory of the host node.

A distributed network includes a first group of computing devices. Each computing device is to be coupled to two neighbor computing devices of the first group of computing device and is to: (i) aggregate gradient values received from a first neighbor computing device with local gradient values to generate a partial aggregate of gradient values that are to train a neural network model; (ii) transfer the partial aggregate of gradient values to a second neighbor computing device; and repeat (i) and (ii) until a first aggregate of gradient values from the first group of computing devices is buffered at a first computing device of the first group of computing devices. The first computing device is to transfer the first aggregate of gradient values to a second group of computing devices of the distributed network for further aggregation.

Methods and processes are described herein to enhance a 3GPP system with XRM server functionality to assist a VAL server in creating and managing spatial anchors. For example, an XRM server may send a spatial anchor ranging request to one or more other services. The one or more other services may determine a ranging distance and orientation between the spatial anchor and the user equipment and send the ranging distance and orientation to the XRM server. The XRM server may receive the ranging distance and orientation, compare the received ranging distance and orientation to predetermined ranging distance and orientation limits for the spatial anchor, and perform one or more spatial anchor operations based on the ranging distance and orientation limits being greater than the received ranging distance and orientation.

Various embodiments relate to network capabilities. Devices of a network can have different capabilities. The network can provide artificial intelligence (AI) enabled, machine learning (ML) enabled, deep learning (DL) enabled networked access to these capabilities. The capabilities can share a common AI / ML / DL-enabled open layer-based net-centric logical protocol architecture. Also, different features can be achieved through different layers. As an example, AI enabled access can be achieved through the application layer, ML enabled access and DL enabled access can be achieved through the presentation layer and the session layer, and network access is achieved through the transport layer, the network layer, the link layer, and the physical layer.

The invention relates to the technical field of helicopter simulation, and discloses a helicopter simulation system. The system takes a network as a center, is deployed in a ground control station simulation test environment, adopts a multi-helicopter task command simulation core module, a command interaction module and a communication module architecture, and supports multi-helicopter formation simulation deduction; the situation display module renders a geographical environment, a target and a track in real time based on a digital map with the resolution of less than or equal to 1m, and the refresh frequency is greater than or equal to 10Hz; the command post information simulation module generates comprehensive information, and the state and load detection information of the helicopter are displayed through a pop-up window; the multi-machine deduction module supports more than five formation selections, task allocation and collaborative processes; the command interaction module realizes command closed-loop control through a UDP multicast protocol; the system solves the problems that in the prior art, the multi-machine cooperation scale is smaller than or equal to 5 frames, the instruction delay is larger than 500 ms, and the situation refreshing is smaller than 15 fps, data excitation and simulation verification support is provided for helicopter single-machine or formation task allocation and command guide research, and the system is suitable for the field of training and equipment research and development.