15 results about "Channel allocation schemes" patented technology

The invention relates to the technical field of 5G mobile communication networks, and discloses an intelligent control method and system for 5GMIFI equipment, and the method comprises the steps: collecting the real-time operation data of a plurality of pieces of 5GMIFI equipment through a sensor network, and carrying out the classification through a support vector machine, and obtaining an equipment state set; analyzing signal overlapping areas of adjacent equipment to evaluate interference risks; in combination with the interference risk and the real-time network load, determining a load unbalanced equipment group by using K-means clustering; group spectrum features are extracted and compared with historical data, and a channel allocation scheme needing to be optimized is determined; selecting a low-interference channel and obtaining a power parameter to obtain initial power optimization configuration; simulating network environment change, and predicting a stability index by using a support vector machine to determine a final power adjustment value; and applying the adjustment value and evaluating the network efficiency improvement degree, and if the threshold value is not reached, performing iterative optimization. The method can improve the equipment state sensing accuracy, reduce the interference risk, dynamically adapt to the network change, and guarantee the stable operation of the equipment group.

A task offloading method and terminal for an ultra-dense edge computing network generate corresponding initial offloading decisions and initial channel allocation schemes for each task in the task population, use the golden section algorithm to calculate the optimal upload power of the channel used by each task in the corresponding initial channel allocation scheme, and improve the upload power of the task; update the initial offloading decision corresponding to the task based on the channel state and the type of the task; update the initial channel allocation scheme corresponding to the task according to the channel transmission energy consumption and the effective interference; therefore, it is possible to update the offloading decision based on the current channel state and task type to ensure that the offloaded tasks can be transmitted and processed under good channel conditions, and finally obtain an as-optimal offloading decision as possible to reduce the total energy consumption of task offloading; calculate the optimal offloading decision and optimal channel allocation scheme for each task according to the adaptive simulated annealing genetic algorithm, thereby reducing the energy consumption of task offloading.

The invention provides a data import channel distribution method, system and device of a database and a medium. The method, system and device are applied to a main node of a target database. The method comprises the following steps: monitoring a preset distributed coordination service, and obtaining change events including a node adding event, a node quitting event and a channel number change event; and based on the current node set of the target database and the data import channel set, generating a channel allocation scheme and sending the channel allocation scheme to the distributed coordination service, so that each node of the target database respectively monitors the distributed coordination service and obtains a corresponding channel list according to the channel allocation scheme to realize re-allocation of the data import channel. When the distribution scheme is generated, the real-time node state and the channel state of the distributed database cluster are directly associated, it is ensured that channel distribution is always matched with actual resources of the cluster, resource waste or overload is avoided, and the overall data importing efficiency can be greatly improved.

The invention discloses a wireless network signal conversion method and system, and relates to the technical field of wireless networks, and the method comprises the steps: S1, full-band scanning, S2, interference feature recognition and classification, S3, channel quality evaluation and sorting, and S4, distributed collaboration, the method comprises the following steps: S1, carrying out information exchange on a local router, carrying out merging and cooperative calculation on a local priority list and a neighbor list obtained by carrying out information exchange from adjacent routers to obtain a coordinated regional channel allocation scheme, S5, carrying out non-inductive channel switching execution, and S6, carrying out closed-loop verification. Through a distributed collaborative and non-inductive switching mechanism, independent decision behaviors of a plurality of routers in a region are converted into collective optimization actions based on shared information and collaborative computing, and it is ensured that the switching process is transparent to users without interruption, so that the technical requirements on the users are greatly reduced, and the switching efficiency is improved. And the overall stability, throughput and user experience of the wireless network in a complex and dense network environment are fundamentally improved.

The application relates to the technical field of wireless communication, and discloses a spectrum coordination management method for an air-sea cross-domain communication gateway. The method is aimed at the problem of low spectrum resource management efficiency in an air-sea cross-domain communication scenario, comprehensively considers the complex environment on water and under water, and realizes pre-allocation and dynamic adjustment of spectrum resources according to environmental changes through underwater acoustic spectrum management, an efficient adaptive time slot allocation method and water electromagnetic spectrum management. The spectrum coordination management method for the air-sea cross-domain communication gateway is based on a maximum-minimum fair channel allocation scheme, combines task priority analysis and dynamic environment sensing, performs channel pre-allocation and dynamically adjusts frequency point allocation strategies, avoids resource waste, and improves communication stability and anti-interference capability. The spectrum coordination management method for the air-sea cross-domain communication gateway provided by the application significantly improves the spectrum utilization efficiency and system performance of the cross-domain communication network, and is suitable for application scenarios such as marine resource development and detection.

The application discloses a kind of intelligent running state management system and method of bluetooth MESH communication module, belong to communication technical field, to solve the problem that existing bluetooth MESH network management and control scheme cannot generate accurate whole network state snapshot, cause network topology research and judge distortion, load evaluation error and fault positioning failure, intelligent running state management method of bluetooth MESH communication module is based on whole network unified time reference, using native deterministic time division multiple access scheduling architecture to allocate microsecond level reporting time slot for bluetooth MESH module, through three-target collaborative optimization algorithm dynamically adjusts scheduling parameter, relies on snapshot aggregation model to generate the whole network state snapshot of same time node, finally realizes microsecond level synchronization, zero conflict report, achieves the uncompromising balance of low power consumption, synchronization accuracy and channel unobstructed, the present application can dynamically adapt network state adjustment time slot parameter, module wake-up strategy and channel allocation scheme, synchronously realizes three major goals of low power consumption, high synchronization accuracy and channel unobstructed.

The invention discloses a data recovery method, system and device for a power distribution network and a medium, and the method is characterized in that the method comprises the steps: obtaining multi-dimensional perception data of the power distribution network; dynamically determining a channel allocation scheme corresponding to each data level based on each channel state scoring result and the data level corresponding to each type of sensing data in the multi-dimensional sensing data, and performing data transmission according to the channel allocation scheme by using a multi-channel parallel transmission mechanism to form a data transmission result corresponding to each channel; and performing redundant coding on the data transmission result to generate redundant coded data, and inputting the redundant coded data into a sparse signal recovery model to solve the sparse signal recovery model to obtain recovery data of the power distribution network. The data recovery accuracy and efficiency of the power distribution network can be improved so as to ensure the stability of the data.

The invention relates to an energy efficiency optimization method for indoor aggregation VLC-RF access point selection and resource allocation, and belongs to the technical field of optical wireless communication. The method comprises the following steps: firstly, adopting a bilateral matching theory-based high-energy-efficiency access point selection algorithm to ensure that a user accesses a VLC access point which contributes to network energy efficiency to the greatest extent; secondly, adopting a sub-channel allocation scheme based on a Gerre-Shapley algorithm to ensure that a stable matching relationship is formed between an access user set and a sub-channel set of each VLC access point or RF access point; and finally, a power distribution strategy based on multi-target energy efficiency optimization is adopted, the total network throughput and the total network transmitting power are balanced, and an optimal power distribution result and an energy efficiency optimization result which are obtained through solving are stored in a Pareto optimal set and a Pareto optimal leading edge set through an iteration method. According to the method provided by the invention, the energy efficiency of the indoor aggregation VLC-RF network can be improved.

The present disclosure relates to the technical field of quantum communications, and provides a channel selection method and apparatus based on shared-fiber transmission, a device, a medium, and a computer program product. The method comprises: acquiring signal transmission capability information of each communication channel, wherein the communication channels are transmission channels which are used for transmitting communication signals and are among a plurality of transmission channels for shared-fiber transmission; generating at least one channel allocation scheme on the basis of service requirement information and the signal transmission capability information of each communication channel, wherein each channel allocation scheme comprises one or more communication channels; determining the noise intensity of each channel allocation scheme for a quantum channel, wherein the quantum channel is a transmission channel which is used for transmitting quantum signals and is among the plurality of transmission channels for shared-fiber transmission; and determining the channel allocation scheme having the minimum noise intensity among the at least one channel allocation scheme to serve as a target channel allocation scheme for shared-fiber transmission with the quantum channel. The present disclosure can significantly improve the performance of a shared-fiber transmission system in application scenarios having a low classical communication capacity.

The present invention belongs to the field of wireless communications, and specifically relates to a channel allocation method based on a 5G CPE wireless industrial Mesh network, comprising: using 5G CPE to build an industrial wireless Mesh network; CPE nodes generate a path to transmit data packets according to the Mesh network default routing protocol HWMP; wherein any two adjacent CPE nodes in the transmission path form a link; calculating the total interference power received by each link in the transmission path and the total number of interference links of the link according to a protocol interference model; calculating the optimal channel allocation scheme of the transmission path according to the total interference power received by the link and the total number of interference links of the link using the Shannon formula and the whale group optimization algorithm; and allocating channels for each link according to the optimal channel allocation scheme of the transmission path to complete the transmission of data packets to be sent, thereby improving the data transmission rate and enhancing the utilization rate of the network.

The invention discloses an atmospheric electric field data transmission enhancement method and system in an extreme environment, electronic equipment and a storage medium, and the method comprises the steps: obtaining real-time electromagnetic interference intensity data, collecting multi-band signal intensity, analyzing the distribution characteristics of an interference spectrum, and obtaining an interference intensity distribution diagram; according to the interference intensity distribution diagram, if the interference intensity exceeds a preset threshold value, dividing frequency bands, and determining an initial channel allocation scheme; aiming at the initial channel allocation scheme, acquiring synchronization parameters and adjusting a data sending time sequence of each channel to obtain an optimized channel synchronization sequence; monitoring an available frequency band state in real time, if the monitoring sensing precision is lower than a preset threshold value, correcting the spectrum data, and determining an adjusted frequency band list; obtaining response time data and redistributing channel resources to obtain updated transmission configuration parameters; and for the updated transmission configuration parameter, extracting a packet loss rate and a distortion degree from the data packet transmission log, and if the packet loss rate is higher than a preset threshold, adding verification data to obtain an enhanced data packet sequence.

The invention relates to the technical field of electronic component detection, in particular to a multi-test channel distribution method for electronic component detection, which comprises the following steps of: obtaining pin topological structure data and I / O (Input / Output) characteristic parameters of a multi-pin electronic component, and performing pin functional domain division and channel topological segment decomposition in combination with test task requirements; and realizing structured modeling of the test task. Based on the load balancing state of the current test channel, dynamic load compensation estimation is carried out, and the perspectiveness of resource scheduling is improved. And a test channel operation dependency graph is further constructed, resource conflicts and signal interference in the test process are quantified, and a collaborative optimization channel allocation scheme is generated. According to the method, real-time dynamic allocation of multi-channel test tasks is realized, the channel utilization rate is effectively improved, the test conflict is reduced, the test parallelism and the system efficiency are enhanced, and the method is suitable for automatic detection scenes of high-pin-number and multifunctional electronic components.

The present invention belongs to the technical field of channel allocation, and specifically relates to a full-duplex D2D communication channel allocation method based on a novel graph coloring. The steps include constructing a bidirectional interference graph containing all potential interference links; formulating the channel allocation problem as an interference minimization graph coloring problem; allocating N independent communication channels to all cellular user equipment; using a greedy graph coloring algorithm to assign a single color to the uncolored D2D vertices one by one; if the number of D2D vertices in a certain color set increases or decreases, re-evaluate the interference level; traverse each color and assign a single color to the remaining D2D vertices. When all D2D vertices have been traversed, the algorithm terminates, generating a conflict-free channel allocation scheme. The present invention can optimize channel allocation, effectively manage and mitigate the interference within the system, thereby improving the user access rate and the overall spectrum efficiency.

The invention provides a backscattering multi-user non-harmonic-interference access method and system based on frequency spectrum shifting, and belongs to the technical field of radio frequency identification, differentiated parameters are configured for communication devices, main lobes of channel signals are distributed in different frequency bands, and the frequency spectrum coverage range after signal frequency shifting is determined; constructing an undirected graph model according to the channel conflict relationship between the devices; according to the undirected graph model, establishing a channel allocation optimization model by taking avoiding of interference among users as a constraint condition and taking maximization of the number of available channels of a system as a target; and solving the channel allocation optimization model to obtain an optimal channel allocation scheme. According to the method, related parameters of equipment are reasonably configured, so that signal harmonic interference is effectively avoided in the frequency shift process, and the reliability of multi-user parallel transmission is guaranteed; according to the method, hardware facilities do not need to be transformed, implementation is easy in practice, and an efficient and reliable solution is provided for the multi-user access problem in a radio frequency identification system and an environment Internet of Things scene.

The invention provides an Internet of Things industrial data processing system and method oriented to multi-device access, and the method comprises the steps: obtaining real-time network signal strength and delay indexes from a multi-device access industrial Internet of Things environment, determining a communication link health degree level through preset threshold comparison, and obtaining a link health assessment result for subsequent processing; transmitting a data packet collected by a sensor through the channel allocation scheme, obtaining a packet loss rate index in a transmission process, judging whether the packet loss rate is lower than a preset threshold value, and obtaining a transmission reliability verification result for dynamically adjusting a strategy; and adjusting data transmission parameters according to the measure execution instruction, obtaining an adjusted network throughput index, judging whether the throughput meets a production instruction execution requirement or not, and obtaining an optimization confirmation result for cyclic feedback of link health assessment.