9 results about "Demand assignment" patented technology

This application relates to an information transmission method, a first device, a second device, a chip, a computer-readable storage medium, a computer program product, a computer program, and a communication system. The method includes the first device transmitting first information, wherein the first information is used to indicate N device identifiers, so that a second device that receives the first information transmits request information for channel resources if the N device identifiers include the device identifier of the second device, where N is an integer of 2 or more. This application enables centralized polling of multiple devices, allows for the allocation of channel resources according to the needs of each device, and can satisfy the transmission requests of a large number of devices.

The invention discloses a method and device for secondary radar roll call and electronic equipment. The method comprises the following steps: acquiring a sector demand pool corresponding to a to-be-roll-called sub-sector under the condition that a to-be-roll-called target is captured in the preset to-be-roll-called sub-sector; the sector demand pool stores roll call demands of all targets to be subjected to roll call corresponding to the sub-sectors to be subjected to roll call; obtaining a first roll call total time length corresponding to all roll call demands in the sector demand pool; under the condition that the first roll call total duration is greater than the preset unit selective call slot duration, determining a target demand in the roll call demands; distributing the target demand to a preset selective calling time slot to obtain roll call demand arrangement; and roll call is carried out according to roll call requirement arrangement. Therefore, even if the roll-call requirements are too many, the target requirements can be screened out for roll-call, screening of the roll-call requirements is achieved, dynamic planning of roll-call requirement arrangement is further achieved, and therefore the roll-call efficiency is improved.

The invention relates to an information transmission method, a first device, a second device, a chip, a computer readable storage medium, a computer program product, a computer program and a communication system. The method comprises the following steps: a first device sends first information; wherein the first information is used for indicating the N device identifiers, so that the second device receiving the first information sends request information for the channel resource under the condition that the N device identifiers comprise the device identifier of the second device; n is an integer greater than or equal to 2. According to the invention, centralized polling of a plurality of devices can be realized, channel resources can be allocated according to the requirements of each device, and the transmission requirements of a large number of devices are met.

An assignment of demands to routes on a communication network can be improved by selecting and updating a subset of the routes. A network management system (or other communication network component) can obtain a representation of the communication network. The representation can include a network graph, sets of resources, and a set of paths for the network graph. The network management system can update the set of paths by selecting a path subset and updating the paths of the path subset. The updating can satisfy a total change condition and a network improvement condition. The updating can be limited to unused edge and resource combinations or edge and resource combinations used by paths in the path subset. The network management system can configure the communications network to satisfy the demand using routes corresponding to the updated set of paths.

The invention discloses an intelligent management method and system for a shared power bank, relates to the field of intelligent management, and solves the problems that multi-source heterogeneous data are difficult to fuse and associate, a cross influence area is difficult to judge, demand distribution and weight calculation are difficult to carry out, and the system reliability is high. A density factor and a cross influence factor are lacked to correct a basic charging demand coefficient, and a plurality of data are lacked to construct a priority comprehensive score to determine an optimal source area; comprising the following steps: acquiring city big data and power bank real-time data; dividing a charge pal coverage area based on UTM projection and a Voronoi algorithm, and calculating a cross influence area and an RBF weight; correcting the basic charging demand coefficient in combination with the charge pal density factor and the cross influence factor; setting upper and lower limits of a scheduling threshold, and defining a target area and a source area; and a control instruction is automatically generated, the power bank is preferentially called out from the source area with the highest comprehensive score, and resource optimization configuration is realized.

The application provides a service-model-data joint driving star-ground fusion network resource intelligent collaborative scheduling method and system for a new power system, and relates to the technical field of power resource scheduling. Considering the communication requirements of different power services in the star-ground fusion network, a dynamic star-ground fusion network and service communication requirement characteristic model is established, and the services are divided into two categories: transmission sensitive and calculation sensitive. In order to reasonably utilize the limited star-ground fusion network resources, a priority processing strategy for service data is formulated, which can allocate and schedule transmission and calculation resources according to the requirements of the services, and unload and process different types of service data in the same period. Under the condition of meeting the communication requirements of different power services, a joint optimization problem considering system delay and energy consumption is proposed to minimize the total cost of the system. The intelligent collaborative scheduling of resources is realized, and the power services are served in real time on demand to meet the requirements of multiple types of power services in the star-ground fusion network.

This invention discloses a scalability-focused wireless body area network (WBN) resource allocation method based on node heterogeneity, comprising: determining whether to pre-allocate backoff values ​​based on node priority and urgency; allocating backoff values ​​based on node transmission requests and allocated backoff values; determining the random backoff value selection range for nodes of different priorities based on the number of nodes at each priority level; determining the backoff value selection range for the contention retransmission phase based on the number of collisions during the contention phase; determining the size of the transmitted data packet based on the channel state and the amount of data in the buffer during transmission; determining the node transmission order based on the node's historical transmission status and node transmission priority; allocating the number of node transmission time slots based on the amount of data in the node's buffer and the predicted amount of data to be generated; and determining the node retransmission order and the allocation of retransmission time slots based on the node's transmission status. This invention allocates backoff values ​​based on the number of nodes and transmission requirements, making it suitable for networks with varying numbers of nodes, improving channel utilization and reducing contention collisions.

This application discloses a method, equipment, and medium for collaborative optimization of low-altitude airfield site selection and transportation network, belonging to the technical field of data processing methods for management purposes. The method identifies target travel origin-destination pairs and target customer groups, predicts the probability and potential demand for low-altitude transportation modes, determines a set of candidate airfield locations, and establishes airfield service capacity parameters and service radii, creating a service coverage relationship matrix. A mixed-integer programming model is constructed. Cluster analysis of the demand point set generates an initial site selection scheme. Local optimization is performed based on airfield service capacity constraints, and the locally optimized site selection scheme is then globally optimized to output the final airfield site selection scheme and demand allocation scheme. Flight frequencies, timetables, and connection schemes are configured for each route in the initial low-altitude transportation network. Multi-scenario operation is performed based on a simulation model, iteratively optimizing model parameters until the optimized airfield site selection scheme, transportation network scheme, and operation scheme are output.

The invention discloses a multi-satellite beam hopping method based on double-layer load balancing, and relates to the technical field of low-orbit satellite communication. In a multi-satellite hopping beam communication scene, users are clustered based on geographic positions and service requirements of the users, and satellites capable of being served of each cluster are calculated based on elevation angles. And then, in each resource allocation time slot, a multi-satellite hopping beam decision is made by using a deep reinforcement learning network. Calculating a transmission data volume according to the current multi-satellite-hop beam decision, updating a user queue, and counting the maximum time delay of a user data packet; and the deep reinforcement learning network is updated by taking minimization of the maximum time delay of the user as an optimization target. And finally, based on the updated deep reinforcement learning network, making a decision on the hopping beam pattern and user resource block allocation at the next moment, and circulating until the time reaches a time window, thereby realizing dynamic balance of loads between satellites in the process. According to the method, communication resources are allocated on the user level on the basis of personalized demands of users, and meanwhile, satellite-level dynamic load balancing is realized.