24 results about "Channel resource allocation" patented technology

The application discloses a channel resource allocation method and device for a traditional Chinese medicine decoction piece e-commerce platform and a storage medium, and attributes online behavior habits before first login of a user based on push records of a touch channel and operation records of the user, then, based on a touch form of the platform to the user and the online behavior habits before the first login, attribution judgment of a user login response is performed again, so that a login contribution value of each touch channel is obtained; in this way, the application is equivalent to performing multiple login attribution analyses in combination with portrait data of the user, based on which, contribution rates of different touch channels can be more reasonably evaluated, so that reasonable allocation of channel resources is realized, and channel development and maintenance are better performed.

This application discloses a method for allocating SMS service channel resources, including: receiving input business SMS data, performing logical processing on the business SMS data, and outputting the logically processed business SMS data; periodically collecting and storing attribute information of the business SMS data, and performing business type analysis, average rate analysis, and business success rate analysis on the attribute information; monitoring the operating status of the SMS service channel, collecting and storing SMS service channel parameters, periodically performing data quantitative analysis on the SMS service channel parameters, and calculating a comprehensive availability score for the SMS service channel within a period; and optimizing the allocation of SMS service channel resources, including allocating channel resources for new SMS services, recovering or expanding the channel capacity of existing SMS services, and reallocating channel resources for abnormally operating SMS services. This application also discloses an SMS service channel resource allocation system, device, and storage medium.

The invention relates to a ship VDES satellite access method based on state awareness and distribution self-adaption, and the method comprises the steps: a satellite side monitors the access loads of a first resource pool and a second resource pool, and dynamically adjusts the channel resource distribution of the two resource pools based on the load state of the first resource pool. And the satellite side broadcasts a resource allocation map containing the adjusted allocation result and a second load indication indicating the load of the second resource pool. And the ship side receives the map and the indication, and determines to access the first resource pool or the second resource pool according to the service type of the to-be-sent data. And the ship side selects an access resource from the determined target resource pool to send data. And the satellite side generates and broadcasts an acknowledgement message for the access resources of the two resource pools. According to the method, the first resource pool capable of dynamically expanding the capacity is set, so that the access reliability of the high-priority service under conventional and congestion conditions is ensured; and through the distributed adaptive access of the second resource pool, the satellite processing load is reduced, and the channel utilization rate and the system expandability are improved.

The invention discloses an FPGA (Field Programmable Gate Array) signal negotiation distribution method supporting dynamic networking. The method comprises the following steps: establishing a mapping relationship between FPGA nodes and logic nodes; calculating the shortest path between all FPGA pairs, counting the number of networks on each physical channel, and calculating an initial TDM ratio and path delay; introducing a relaxation ratio and a criticality ranking mechanism, performing iterative wiring optimization based on a dynamic cost function, and updating a weight topological graph; physical channels with TDM ratio overrun and serious congestion are identified, physical topology is reconstructed through channel addition, deletion and transfer operations, and channel resource allocation is guided based on comprehensive ranking scores of three types of constraint factors; according to the method, the PathFinder wiring and the topology reconstruction process are cooperatively executed, signal distribution is carried out again based on the wiring result of the last round after topology adjustment each time, a final wiring path and a reconstructed topology structure are output, the maximum path delay is reduced, and the wiring quality of a large-scale FPGA system is improved.

The application discloses a method and device for adjusting MCS level, equipment and storage medium, and relates to the field of mobile communication. The specific implementation scheme is as follows: obtaining a target data amount to be transmitted by a target user to be scheduled; determining a position mark of the target user in a scheduling process based on non-data domain resource occupation adjustment MCS level according to the target data amount and a preset data amount threshold value; and adjusting the MCS level of the target user according to a preset strategy based on the position mark. Through the method, whether the scheduling MCS level needs to be further adjusted can be adaptively judged based on the time-frequency domain density information occupied by the non-data domain resource in the service channel resource allocation process, so that the efficiency and accuracy of the MCS level adjustment are improved.

The invention provides an insurance service management method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: monitoring the real-time business state of each insurance service channel, and evaluating the resource demand degree based on a multi-dimensional business index; and predicting a business demand in a target time period, generating a cross-channel resource allocation scheme in combination with a prediction result and a resource demand degree, dynamically adjusting a resource allocation priority, and realizing cross-channel scheduling of service resources according to a preset channel weight and an event-driven factor. Meanwhile, multi-channel customer data are integrated to construct a unified customer view, customer life stages are identified based on multi-source data, a cross-service-chain collaborative service process is triggered according to a dynamic customer portrait, and a fusing mechanism is started to switch to an alternative service channel when the service is abnormal. The problem of repeated resource investment caused by the fact that static resource allocation is not combined with real-time resource demand evaluation and service demand prediction in the prior art can be solved.

The invention discloses a WIFI6 dynamic channel resource allocation method and system for a multi-device scene, and relates to the technical field of wireless communication, and the method comprises the steps: collecting the real-time flow distribution of a multi-device network environment, and extracting the real-time flow perception characteristics of the real-time flow distribution; pre-defining type labels of the first type of channel template and the second type of channel template; initializing an RU channel allocation module, and analyzing the real-time flow perception characteristics according to an elastic allocation mechanism algorithm to obtain a first dynamic resource proportion; and issuing the first dynamic resource proportion to an RU channel allocation module for channel resource allocation to obtain a first dynamic virtual resource template, and performing physical resource mapping. According to the method and the device, the technical problem that the real-time flow change cannot be effectively handled due to unreasonable WIFI6 channel resource allocation in the multi-device scene in the prior art is solved, and the technical effects of improving the WIFI6 channel resource allocation efficiency in the multi-device scene and improving the network performance and stability are achieved.

The invention relates to the technical field of wireless communication, in particular to a communication method and a communication device. The method comprises: a second communication device sending first indication information, a first communication device receiving the first indication information, the first indication information indicating a first center frequency, the first center frequency being a center frequency of a first bandwidth; the second communication device sends the first communication frame, the first communication device receives the first communication frame, the frequency range of the direct current subcarrier corresponding to the first communication frame comprises the first center frequency, and the transmission bandwidth of the first communication frame is larger than the first bandwidth. And the channel resource allocation is more flexible. According to the application, an IEEE (Institute of Electrical and Electronic Engineers) protocol can be supported, such as an IEEE 802.11 be protocol, an IEEE 802.11 bn protocol, an IEEE integrated millimeter wave protocol, an IEEE 802.15 protocol or an IEEE 802.11 bf protocol; the method can also be applied to a satellite flash system and supports a satellite flash protocol.

The invention discloses an anti-mobile-interference unmanned aerial vehicle network track, route and resource joint optimization method, which comprises the following steps of: firstly, splitting an original joint decision problem into two sub-problems of unmanned aerial vehicle network channel resource allocation and track route decision; and through iterative cooperation of game theory channel allocation and multi-agent reinforcement learning trajectory routing decision, a joint optimization problem is decoupled, so that optimization of unmanned aerial vehicle network task time delay is realized under an anti-interference condition. According to the method, the RMAPPO is integrated into the RNN to capture topology time sequence characteristics, track control and route selection are covered at the same time, game theory channel allocation and recursive multi-agent reinforcement learning are combined through a decomposition type optimization framework, topology fluctuation is dynamically adapted, the coupling optimization problem is effectively solved, the anti-interference performance and the network stability are both considered, and the method is suitable for large-scale popularization and application. And real-time cooperation of interference suppression and resource allocation is realized.

The invention belongs to the technical field of Internet of Vehicles control, and particularly discloses a cellular Internet of Vehicles spectrum resource allocation method under hidden terminal influence. According to the method, firstly, a data packet transmission model is provided and used for describing the probability of data packet collision caused by the fact that two or more vehicles access the same channel resource and broadcast CAM, and the model can represent the probability of data packet collision caused by interference of exposed terminals and two types of hidden terminals under different inter-vehicle distances and vehicle densities at the same time. The invention further provides an inter-data packet receiving probability model which is used for describing a time interval between two successive successful data packet receiving. In addition, the invention further designs a self-adaptive multi-agent reinforcement learning scheme used for searching for an optimal channel resource allocation strategy for each V2V link, meanwhile, a hierarchical approximation strategy iteration mechanism based on a binary tree is introduced, and through hierarchical decomposition of a state space and local search optimal strategy search, an optimal channel resource allocation strategy is provided for each V2V link. The calculation complexity of reinforcement learning training is reduced.

The invention relates to an optimal channel resource allocation method for an industrial wireless network, and belongs to the technical field of communication. According to the invention, the central control unit (CCU) calculates the next communication moment with the equipment according to the current triggering moment, and the CCU is kept silent between the two communication moments, so that an additional continuous monitoring state is not needed; in the self-triggering control STC, the CCU receives information from all devices at the STC communication moment, the next STC time is calculated, and CCU actuator signals are updated according to the difference of the states of all the devices. According to the invention, through power control and message transmission based on self-triggering control STC, the channel capacity is increased in the presence of interference, so that wireless channel resources are optimized.

Embodiments of the present disclosure disclose a channel resource allocation method, device, equipment and medium. The method comprises: determining a target service type corresponding to a session data packet of a terminal device; determining a channel bandwidth and a channel occupation duration corresponding to the terminal device according to the target service type; obtaining target channel resource indication information corresponding to the target service type based on a first channel resource allocation model according to channel resources corresponding to an edge server, the channel bandwidth and the channel occupation duration; obtaining a channel utilization rate according to an occupation rate of the edge server by at least one terminal device in a first time slot; and updating the first channel resource allocation model according to the channel utilization rate. The channel bandwidth and the channel occupation duration required by the target service type are used to allocate channel resources to the device, and the first channel resource allocation model is updated based on the channel utilization rate, thereby improving the channel utilization rate under the condition of meeting the device requirements.

This invention discloses a dynamic resource scheduling method and apparatus for a classical-quantum hybrid communication system. Relating to the field of quantum communication technology, the method includes the following steps: S1, acquiring the system state information of the classical-quantum hybrid communication system in real time; S2, dynamically generating a channel resource allocation scheme for the next time slice based on the system state information and a preset scheduling strategy; S3, distributing the channel resource allocation scheme to the classical signal transmitter and the quantum signal transmitter to control their signal transmission operations, thereby achieving dynamic collaborative scheduling of channel resources for classical communication and quantum key distribution. The apparatus includes a state monitoring module, a scheduling decision module, and an instruction execution module. The method described in this invention can be implemented on the basis of existing communication equipment through software upgrades or the addition of a control module, providing a feasible technical path for the smooth evolution of traditional communication networks to future quantum communication networks.

The present disclosure relates to a display device and a channel resource allocation method, and relates to the technical field of communication. The display device comprises: a Bluetooth module configured to: obtain Bluetooth quality report (BQR) information, and send the BQR information to a controller; the BQR information comprises at least one of A2DP audio frame freezing information, channel-common tracking information and connected-link tracking information; the controller is configured to: receive the BQR information; and in response to receiving a channel resource request of a first Bluetooth application, allocate channel resources for the first Bluetooth application according to the BQR information. The embodiments of the present disclosure are used for reasonably allocating channel resources for Bluetooth applications, and ensure reasonable utilization of channel resources.

The invention discloses a multi-dimensional resource optimization method for a vehicle-road cooperation digital twin system. The method comprises the steps of scene construction, task division and construction of a channel model and a calculation model. Through joint optimization of dynamic task division, channel resource allocation, vehicle transmitting power adjustment and RSU computing resource allocation, minimization of digital twinborn model construction and updating cost is realized; the invention further provides a deep reinforcement learning algorithm Noisy Net-HyAR integrated with a noise network Noisy Net, and the Noisy Net is utilized to replace a traditional exploration strategy, so that the agent can explore more states and action spaces, and the reinforcement learning performance is improved. According to the method, the time delay and the energy consumption for constructing the digital twinning are used as the system cost, the system cost is used as an index, the effectiveness of the method is verified in a simulation result, and the adaptive capacity to the environment is shown in a complex scene.

A channel resource allocation method includes establishing, by a first network device, at least two links between the first network device and a second network device, where each link supports beamforming data transmission; obtaining, by the first network device, a millimeter-wave radio channel resource between the first network device and the second network device; dividing the radio channel resource into a plurality of slots, where each slot is used for data transmission on one link, and two adjacent slots correspond to two different links; and transmitting, by the first network device, data on a corresponding link in the plurality of slots.

The invention relates to a channel resource allocation method, in particular to a channel resource allocation method for an underwater acoustic sensor network. The invention aims to solve the problem that a high data updating rate cannot be guaranteed and a low conflict probability cannot be achieved when a large number of fixed nodes periodically carry out channel resource pre-allocation on data transmission to water surface mobile nodes in a target area in an existing method. The method comprises the following steps: 1, constructing a conflict area model; the method comprises the following steps of: 1, deploying B fixed underwater nodes at the seabed, and deploying a movable buoy or a water surface base station in a sea surface target area; each underwater node periodically sends a data packet to the water surface mobile node, and the transmission time delay and the transmission frequency are fixed and cannot be dynamically adjusted; 2, constructing a conflict region boundary; (1) constructing a conflict region area; 2, establishing a multi-objective optimization problem based on the step 1; and 3, solving a multi-objective optimization problem to obtain a transmitting delay and frequency band allocation scheme of each node. The present invention is used in the field of channel resource allocation.

The application is a resource allocation method for data security transmission in high-reliability and low-latency Internet of Things, comprising the following steps: step 1: constructing an uplink system supporting ultra-reliable and low-latency communication; step 2: constructing an optimization problem based on the sum of the QoE of the communication between all the ground nodes and the base station to maximize the security data rate; step 3: constructing an optimization model based on game theory, modeling the optimization problem in step 2 as a game problem with QoE evaluation strategy; step 4: using a distributed learning algorithm to iteratively obtain the resource allocation strategy between the ground nodes and the base station until the optimization problem in step 2 reaches the optimal value, and the channel resource allocation method is determined. The application approximately transforms the original complex problem into an easy-to-handle problem, and proposes an efficient distributed iterative algorithm to converge to the NE solution.

This invention discloses a method and apparatus for channel allocation in a vehicle-to-everything (V2X) cluster based on fuzzy optimization. The method includes: collecting the service time, values ​​of different performance indicators, and vehicle service levels of each vehicle in the V2X cluster that most recently used an allocated channel at the V2X access point; wherein, the vehicle service level is associated with the maximum and minimum relative membership of the vehicle with respect to different performance indicators; determining the weighting coefficients of different performance indicators for cluster channel resource allocation; constructing a main road vehicle cluster corresponding to each main road by collecting the set of vehicles that enter the service area of ​​the V2X access point and issue service requests within the current cluster division interval; determining the relative membership of the corresponding available channel as preferred; and allocating channels to all main road vehicle clusters according to the number of vehicles in each main road vehicle cluster based on the relative membership of each available channel as preferred.

The application provides a kind of industrial internet of things based on dynamic priority multi-service scheduling and resource allocation method, it is characterized in that, including the following steps: the industrial internet of things system including sensor, local scheduler and remote monitor is constructed;The objective function of the estimation error of the industrial internet of things system is constructed;Under the premise of meeting the stability constraint of different types of services, the objective function of the estimation error of the industrial internet of things system is solved using dynamic priority evolution algorithm, to realize the allocation of sensor scheduling priority and the channel resource allocation of different priority sensors.The application can adaptively adjust resource allocation according to the dynamic priority of service, effectively improve the overall utility of network in multi-service coexistence scenario.

Dynamic random access channel resource allocation is provided. A method for dynamic random access channel resource allocation may include receiving (610) from a network entity a configuration of at least one of a plurality of quasi-static physical random access channel resources and dynamic physical random access channel resources for network access. The plurality of quasi-static physical random access channel resources are available without separate activation, and the plurality of dynamic physical random access channel resources are available with separate activation. The method may also include determining (620) availability of at least one of the plurality of dynamic physical random access channel resources, and, when it is determined that the at least one dynamic physical random access channel resource is available, selecting (630) at least one resource for preamble transmission from the at least one dynamic physical random access channel resource or from a combined set of the quasi-static physical random access channel resources and the dynamic physical random access channel resources.

The invention relates to the technical field of mobile communication, and discloses a high-speed mobile communication protocol stack cell merging method, device and system. Comprising the steps that N physical cells covering a high-speed moving track are divided into M geographically discontinuous logic independent groups which are distributed at intervals, and each group serves as a virtual logic cell to be managed in a unified mode. Performing cooperative management and centralized scheduling on control channels of all physical cells in the same virtual logic cell; a service channel resource allocation strategy of inter-group orthogonality and intra-group full multiplexing is adopted; based on sounding reference signals periodically reported by user equipment, switching judgment of a service physical cell is carried out only in a virtual logic cell to which the user equipment belongs currently according to a strict signal to interference plus noise ratio threshold and a continuous period judgment condition. According to the invention, the switching frequency and the same-frequency interference in a high-speed mobile scene are effectively reduced, and the system capacity and the communication reliability are remarkably improved.

Various solutions for physical random access channel (PRACH) resource allocation on preamble domain with respect to an apparatus are described. An apparatus may receive a PRACH configuration from a network node. The PRACH configuration may indicate a first number of preambles available for all purposes in a PRACH time-frequency occasion, a first cyclic shift value, and a first root sequence index. The apparatus may determine N preambles according to the PRACH configuration or according to a pre-defined number of preambles available for all purposes in the PRACH time-frequency occasion. N may be other than 64.

The application provides a MF-TDMA satellite channel resource allocation method, and relates to the technical field of communication, and comprises the following steps: S1, determining the carrier type of the MF-TDMA system and resource allocation scoring parameters; S2, establishing multiple templates based on the running environment of the system and the carrier type; S3, calculating each template obtained in the step S2 by using the resource allocation scoring parameters and an optimization algorithm to obtain an optimal solution set of resource allocation; S4, generating the final allocation scheme of each template through the optimal solution set; and S5, performing resource allocation on the system running environment by using the final allocation scheme of each template to obtain a resource allocation result; according to the application, the templates are designed and divided in advance according to different system running environments in the resource allocation process, different resource allocation scenes and requirements can be covered, repeated and invalid allocation calculation is avoided, and the rapid scheduling and allocation of resources are realized.