66 results about "Network deployment" patented technology

The application provides a low-altitude airborne terminal heterogeneous network vertical handover method and system, the method comprises the following steps: constructing and dynamically updating a three-dimensional network coverage information library; predicting the future route of the airborne terminal based on its real-time motion state, and obtaining a candidate network set from the three-dimensional network coverage information library according to the prediction result; generating a handover decision weight for each network in the candidate network set based on a preset evaluation model; determining whether to trigger vertical handover through fuzzy logic decision based on the handover decision weight, the current network state and the operating parameters of the airborne terminal; if the vertical handover is triggered, performing a vertical handover operation based on the candidate network set and the handover decision weight. The application is based on the pre-collected network deployment information, combined with the actual flight information for vertical handover, the switching execution logic is simple and efficient, which can effectively avoid the communication interruption problem caused by switching failure or frequent switching, and significantly reduce the power consumption in the communication process.

The application discloses a CTC system localization hardware performance monitoring data visualization implementation method, solves the problems of poor adaptability of existing general monitoring schemes to localization hardware and railway business scenes, disconnection of data and business, weak visualization analysis and difficult special network deployment. The method ensures the improvement of data accuracy through automatic matching and multi-dimensional verification of hardware types, differentiated packet loss completion and business correlation abnormal value filtering; constructs a device-line-business three-dimensional layered model, combines railway operation diagrams for differentiated down-sampling and weighted statistics, and automatically associates business event labels to realize deep binding of performance data and business logic; through multi-index linkage visualization, pixel density detection intelligent labeling and multi-dimensional interaction filtering, the performance bottleneck positioning efficiency is improved; through three-level dependency list management, resource path mapping and static link encapsulation, an executable file that can completely run offline is generated, and the stable operation rate of the localization terminal is ensured.

This invention relates to the field of information and communication technology, and provides a satellite ground base station and its multi-operator sharing method. The method includes: the satellite ground base station supporting the establishment of NG links with multiple core networks; the satellite ground base station supporting the broadcast of public terrestrial mobile networks supported by multiple core networks; the satellite ground base station supporting the configuration of air interface resource ratios for multiple operators; and the satellite ground base station allocating air interface time and frequency resources according to the air interface resource ratios of each operator. In satellite communication systems, through the method of allocating air interface resources according to operators using the satellite ground base station of this invention, satellite terminals of different operators can access the same satellite ground base station, sharing the satellite ground base station hardware and air interface time and frequency resources, meeting the needs of independent operation of different services, and reducing network deployment and operation costs.

A well network deployment method for increasing the storage capacity of water-flooded high-permeability gas storage facilities, belonging to the field of oil reservoir gas storage construction technology, includes the following steps: S1, employing oil and gas reservoir fine description technology; S2, employing oil and gas reservoir engineering technology; S3, employing gas storage dynamic analysis technology; S4, establishing a comprehensive geological model, and combining steps S2 and S3 to clarify the direction of seepage dominance and delineate seepage zones in oil and gas areas. This invention, under conditions of high well network control and severe water intrusion and gas channeling, can significantly increase the storage capacity of water-flooded areas, solve the common problem of uneven injection-production displacement in sandstone gas storage facilities, and alleviate the contradiction of large differences in displacement effects between favorable and unfavorable areas during cyclic injection-production. This invention can be applied to the expansion of gas storage facilities that have been renovated due to significant seepage dominance or strong planar heterogeneity.

A method to perform beam management (BM) and / or synchronization (Sync) using primary synchronization signal (PSS) when pilot contamination is low to improve system performance is proposed. A UE first determines pilot contamination level on PSS of a synchronization signal block (SSB), depending on different network deployment scenarios. The UE then adaptively perform BM or Sync, by dynamically adjusting to the pilot contamination level on PSS. If the pilot contamination level is high, then the UE follows a 3-symbol mode, e.g., uses only PBCH0, SSS, and PBCH2 symbols for performing BM or Sync. Otherwise, if the pilot contamination level is low, then the UE follows a 4-symbol mode, e.g., uses PSS as an extra symbol for BM or Sync to improve system performance.

An apparatus comprises at least one processing device configured to identify an extended processing device and onboard the extended processing device to an edge infrastructure management platform, wherein the extended processing device is added as a component of a legacy device, and integrate the legacy device into the edge infrastructure management platform through one or more operations performed by the extended processing device.

An apparatus, method or non-transitory computer readable storage medium having software stored thereon can be configured to allocate a primary channel and a secondary channel to a Citizens Broadband radio Service Device, wherein a call is placed on the primary channel, monitor the primary and secondary channels to detect arrival of an incumbent, determine whether the incumbent has been detected, and upon detection of the incumbent, hand off the call to the secondary channel.

This application provides a method, system, and electronic device for deploying heterogeneous edge neural networks. The method addresses the adaptation difficulties caused by toolchain dialect barriers and knowledge dispersion by constructing a knowledge base and integrating fragmented hardware knowledge. It replaces scripts that rely on fixed templates by assembling prompt words based on model profiles and target hardware types to generate code, enabling the deployment logic to flexibly adapt to different hardware and model combinations. Through containerized sandbox execution and adaptive correction iterative closed loop based on retrieval and intelligent reasoning, it avoids interruptions upon encountering errors. Execution failures no longer require manual intervention for debugging but instead trigger a diagnosis and repair process until success. Therefore, this method can improve the automation, robustness, and success rate of the deployment process in edge computing scenarios with highly heterogeneous hardware and rapidly evolving toolchains.

The application provides a network deployment method, device, server and medium, and relates to the field of communication.The network deployment method comprises the following steps: obtaining a first service and a second service; calling a virtual infrastructure manager (VIM) and a software defined network (SDN) controller to create a first virtual router and a second virtual router; calling a security controller to create a virtual firewall in the case that the first service and the second service have security interaction requirements; calling the VIM, the SDN controller and the security controller to establish a first logical link and a second logical link; the first logical link is a logical link interconnecting the first virtual router and the virtual firewall, and the second logical link is a logical link interconnecting the second virtual router and the virtual firewall.In the embodiment of the application, the virtual routers of different services share the virtual firewall, so that the vFW resource occupation can be effectively reduced, and the network deployment cost is reduced.

This invention discloses a self-optimization method for an intelligent controller based on reinforcement learning, comprising the following steps: S1, constructing the state space, action space, and environmental feedback function of the control system; S2, initializing the improved TD3 control algorithm structure; S3, forming experience tuples and storing them in an experience replay buffer; S4, randomly sampling a batch of experience tuples from the experience replay buffer; S5, if the delayed update condition is met, updating the parameters of the main policy network once; S6, synchronously updating the parameters of the target policy network and the target Q network; S7, deploying the trained main policy network to the intelligent controller and outputting the optimal control action; S8 continuously collecting interaction data and appending it to the experience replay buffer, periodically triggering the policy incremental training process. This invention constructs a reinforcement learning control structure, integrates policy evaluation and online training mechanisms, and achieves adaptive optimization of the controller.

The present disclosure discloses a method for SFC deployment based on VNF-dependent software migration in a multi-domain network, and relates to the field of communications technologies. The method jointly optimizes the SFC deployment and the migration of VNF-dependent software to resolve issues concerning service provision in the multi-domain network. According to the method, information related to the multi-domain network is first initialized, and then a multi-layer network architecture is constructed to support SFC deployment. Then, a multi-layer weighted network is established by using an analytic hierarchy process (AHP), and an SFC deployment policy and a VNF-dependent software migration policy are executed on this basis. In the present disclosure, the impact between SFC deployment and VNF-dependent software migration decisions is comprehensively considered, achieving efficient SFC deployment and VNF-dependent software migration in the multi-domain network.

Disclosed in the present invention is a network and log intelligent management method, comprising the following steps: deploying a network monitoring tool and a log analysis tool in a target network; defining a network monitoring index, monitoring the target network in real time by means of the network monitoring tool, and acquiring log data by means of a log monitoring tool; performing fusion analysis on network monitoring information and the log data, and on the basis of the analysis result, determining whether the target network has had an anomaly; and defining an alarm mechanism, and issuing an alarm when the target network has had an anomaly. By implementing monitoring, the present invention can discover anomalies in a system and a network quickly, thus reducing the processing time, improving the availability and stability of the system and the network, and by means of monitoring, performing configuration and optimization on network resources; the present invention can identify and prevent potential problems by means of data analysis, and can perform fusion analysis on network monitoring information and log data, so as to further enhance the anomaly detection capability; and by means of establishing a robust monitoring and emergency alarm mechanism, the present invention can ensure continuity and stability of services.

The present application relates to a kind of four-legged robot path planning method, system and medium based on brain-like decision-making, constructs environment scene, obtains the multi-dimensional observation state vector for four-legged robot and environment;Improved hybrid pulse reinforcement learning neural network is constructed, and multi-dimensional observation state vector is hybrid coded, is converted into time sequence pulse sequence after it, is handled by Actor network, outputs action, multi-dimensional observation state vector is input into Critic network, obtains value function estimate value;Actor network and Critic network are trained;Deploy the Actor network after training to four-legged robot, generates control instruction according to real-time multi-dimensional observation state vector, drives four-legged robot to execute task, until reaches target point;System includes four-legged robot platform and control terminal, realizes control terminal and medium.The present application improves space-time information representation capability, effectively realizes the best balance of four-legged robot computing resource and endurance.

The present application relates to the technical field of computing resource scheduling, in particular to a computing network task dynamic scheduling method and system. Historical scheduling trajectories are obtained to form a historical scheduling trajectory dataset; a high-quality causal trajectory set is formed based on the historical scheduling trajectory dataset; the high-quality causal trajectory set is divided into M trajectory subsets, and M sub-strategy networks are trained; during training, a loss function weight is configured based on a trajectory quality weight; a meta-strategy network integrating the M sub-strategy networks is constructed and trained using a model-independent meta-learning framework; a dynamic weight vector is dynamically generated according to an environment state feature vector and a task feature vector, and a scheduling action is output based on the dynamic weight vector; the meta-strategy network is deployed to a computing network scheduler to process real-time scheduling requests containing environment state feature vectors and task feature vectors. The present application can achieve high accuracy, strong robustness and fast adaptability in computing network task scheduling.

This invention relates to the field of 5G NR technology, specifically disclosing a neural network signal processing method and system for 5G NR SDR systems. Addressing the problems of USRP FIFO overflow, difficulty in real-time neural network deployment, and low efficiency of multi-GPU collaboration in existing SDR systems, this invention constructs a multi-threaded PHY processing architecture. The PHY layer is decomposed into independent threads bound to CPU cores, with each thread independently processing all physical channels in a time slot. A GPU task scheduler and GPU pool are designed to achieve asynchronous task submission and intelligent load balancing. Weight preloading, task encapsulation, and a double-buffered weight update mechanism are employed, and asynchronous online training is performed through an asynchronous execution framework. This invention overcomes the single-core CPU bottleneck through time-slot-level parallel PHY processing, reduces multi-threaded concurrency overhead through GPU collaborative scheduling, and achieves uninterrupted real-time inference and continuous adaptation of the neural network through double buffering and asynchronous training, significantly improving channel estimation accuracy and system throughput.

The application discloses a terahertz co-frequency interference characteristic evaluation method and system based on cross-domain mapping, relates to the technical field of terahertz wireless communication and electromagnetic compatibility, and solves the technical problems that link vulnerability is difficult to quantify and there is a lack of system-level correlation between radio frequency physical indicators and baseband demodulation performance in the prior art.The application collects power information of a receiving end under an interference-free injection and a co-frequency interference injection environment in a radio frequency power domain, calculates an interference signal ratio and a signal-to-interference-and-noise ratio, maps radio frequency power domain parameters to a modulation error ratio MER and an error vector magnitude EVM in a symbol decision domain, evaluates interference attenuation in combination with a spatial geometry variable in a spatial geometry domain, and comprehensively evaluates terahertz co-frequency interference characteristics by comprehensively considering radio frequency power domain indicators, symbol decision domain indicators and spatial geometry domain indicators.The application has good operability and reproducibility, and provides support for standardized testing, network deployment and safety boundary definition of a terahertz communication link.

This invention relates to a multi-agent cluster cooperative control method based on reinforcement learning, comprising: obtaining normalized global state information based on a first normalized relative distance and a first normalized relative velocity between an agent and a virtual leader point, and a second normalized relative distance and a second normalized relative velocity between an agent and neighboring agents; calculating the individual reward of each agent based on an individual reward function, and obtaining the total reward for a preset interval based on the individual rewards of all agents; training an Actor-Critic network model based on the normalized global state information at the current moment, the actions performed by the agents, the total reward for the preset interval, and the normalized global state information at the current moment, to obtain a trained Actor-Critic network model; and deploying the trained Actor network onto the agents to obtain the final acceleration command to control the agent's movement. This invention has the advantages of high sample utilization, strong generalization, excellent cooperative effect, and stable training.

A communication method and apparatus, applied in the field of wireless communication technology, is used to resolve the problem of IP address conflicts in edge network services. The method pre-groups devices, SMFs, and UPFs within the edge network, ensuring that IP addresses of edge network devices belonging to the same group do not conflict, thus reducing planning complexity. When creating a dedicated session for a terminal device, SMFs and UPFs belonging to the same group can be selected to create the dedicated session for the terminal device. This allows the SMFs and UPFs to provide services to edge networks belonging to the same group. When forwarding packets, the UPFs can forward packets based on the group identifier. This enables devices belonging to different groups of edge networks to use the same IP address in large-scale, geographically dispersed edge network deployments, and ensures that the UPFs can correctly forward packets based on the group identifier, better adapting to current network development needs.

The present disclosure provides a communication method and device, system and storage medium, wherein the method comprises: receiving a first message and a first identifier sent by a terminal; wherein the first identifier is used to indicate a core network device; and sending the first message to the core network device according to the first identifier. The present disclosure reduces the signaling interaction delay between the terminal and the core network device, improves the availability of the service-based radio access network architecture, and improves the flexibility, scalability and automation degree of network deployment.

The application relates to the technical field of fire safety supervision, and discloses a remote fire safety intelligent supervision method, which comprises the following steps: S1: multi-dimensional perception network deployment and data collection: deploying Internet of Things terminal equipment in a supervision area, including smoke sensing / temperature sensing detectors, electrical fire monitoring devices, fire water pressure / air pressure sensors, AI intelligent cameras and fireman individual positioning equipment; collecting fire hazard data (smoke density, temperature, current / voltage abnormalities) in real time, realizing low-delay data transmission through 5G+edge computing, and fusing multi-dimensional perception and edge computing in the application: constructing a full-factor perception network, combining edge computing to realize local data preprocessing, reducing transmission delay and bandwidth occupation, and guaranteeing monitoring real-time performance; and adopting a CNN+LSTM hybrid model to realize hazard identification and false alarm identification, so that the false alarm rate is reduced to below 5%, and the pain point of high false alarm rate of a traditional system is solved.

A lunar surface cable and self-burying method based on active electron beam energization and electrostatic repulsion are disclosed, relating to the fields of lunar engineering and deep space exploration. Addressing the problems of existing technologies where lunar surface cables are susceptible to lunar dust abrasion and radiation damage, and where mechanical burying methods are energy-intensive, inefficient, and have poor adaptability, this invention proposes a technical solution for autonomous cable settlement and burial without mechanical excavation. This solution involves setting up a chargeable outer shell and an electron beam emitting mechanism. First, a positive charge is applied to the cable surface to repel lunar dust. Then, an electron beam is emitted into the lunar soil beneath the cable, causing it to become negatively charged. Subsequently, the surface charge of the cable is switched to negative to create a repulsive effect, thereby forming a cavity beneath the cable and driving it to settle under lunar gravity, ultimately achieving natural backfilling and burial with lunar soil. This invention is applicable to scenarios such as lunar base construction and energy and communication network deployment, and can significantly improve cable protection capabilities and laying efficiency.

We provide the system. [Solution] A system including means for generating a network configuration diagram, means for providing information based on the network deployment status, and means for providing an interactive AI for field personnel who lack network knowledge.

The application relates to the technical field of unmanned aerial vehicle networks, and provides a highway low-altitude unmanned aerial vehicle honeycomb network deployment and inspection system which comprises a server, a honeycomb and an unmanned aerial vehicle; a honeycomb intelligent agent composed of an air-space-ground cooperative sensing unit, a cooperative computing unit and a cognitive fusion unit is arranged in the middle of the honeycomb; the air-space-ground cooperative sensing unit is used for acquiring multi-source heterogeneous data, and processing the data into target sensing results according to a cross-modal fusion enhancement model; the cooperative computing unit is used for receiving target sensing results of the current honeycomb and adjacent honeycombs to determine a cooperative computing scheme, and performing elastic scheduling and task allocation in combination with a dynamic resource scheduling model; and the cognitive fusion unit is used for executing the cooperative computing scheme to complete the inspection. The multi-source heterogeneous data is upgraded from simple superposition to semantic depth correlation, the multi-source heterogeneous data complementarity is used to overcome the limitation of single-modal sensing, false judgments and missed judgments are greatly reduced, and more comprehensive and accurate sensing is realized.

This utility model relates to the technical field of wire breakage protection mechanisms, and discloses a wire breakage protection mechanism for factory fiber optic network deployment. It includes a protection mechanism housing, with a fixed connecting plate on the outer side of the housing. The device is equipped with an anti-wire breakage protection mechanism. When the optical cable is inserted into the protection mechanism housing from the connection port and fixed thereto, the position of the limiting mounting sleeve can be easily fixed. The limiting mounting sleeve has a certain curvature, which assists in limiting and reinforcing the optical cable, improving connection stability and ensuring stable wire breakage protection. The device also includes a reinforcement mechanism, which can easily fix the position of the rotating pad. The rotating pad enhances the support of the limiting mounting plate and the outer side of the rubber connecting pad, ensuring the stability of the limiting mounting plate support structure. The limiting mounting plate can also limit the optical cable at the connection ends of the double-ended housing of the protection mechanism, which helps ensure the wire breakage protection effect.

In one embodiment, a method for policy optimization for cellular network deployment includes determining, by a process, sets of policy mappings for individual subscribers among a plurality of network subscribers in a first network deployment and analyzing, by the process, the sets of policy mappings to determine a plurality of groupings for the individual subscribers. The method further includes assigning, by the process and according to the set of policy mappings and the plurality of groupings, the individual subscribers to at least one network deployment recommendation group among a plurality of network deployment recommendation groups and deploying, by the process, the individual subscribers according to the plurality of network deployment recommendation groups into a second network deployment.

This invention discloses a hierarchical mobility management method and system for satellite-ground collaboration in low-Earth orbit (LEO) satellite networks. It primarily addresses the problems of excessive mobility signaling overhead and over-reliance on ground stations leading to network robustness issues in existing technologies for user mobility management. The solution involves: selecting key nodes for deploying Mobility Management Functions (AMFs) through network deployment planning to eliminate the maintenance overhead of virtual clusters; decoupling location updates from high-speed satellite movement by constructing dynamic activity areas for users and implementing a lazy location update strategy; establishing a mapping relationship between user identifiers and multiple nodes to achieve distributed on-board storage of user data, avoiding strong dependence on ground stations; and establishing a hierarchical paging mechanism, calculating the PCI index based on the user mobility model, and dynamically selecting paging strategies to achieve an optimal balance between paging overhead and paging latency. This invention can significantly reduce the overall signaling interaction cost while ensuring service continuity and eventual data consistency, effectively improving the robustness and autonomous operation efficiency of large-scale LEO satellite networks in scenarios with limited satellite-ground links, and can be applied to satellite communication networks.

A novel LPWAN system and method of operating such a system is disclosed. The network deploys a plurality of endpoints communicating with at least one radio. Each radio in the system communicates, in turn, with a single basestation. The single basestation enables simplified network management (e.g. —endpoint admission, etc.) and basestation maintenance (e.g. —software updates, etc.) and reduces network deployment costs, as the single basestation device serves multiple radios over multiple coverage areas. The single basestation can be a software network core executed on a service device / server, such as a cloud SaaS service, allowing the computational capacity of the basestation to be scaled, as necessary, to service the network. The single basestation can also execute network cores for two or more network standards By having multiple radios provide their received signals to the single basestation, signal processing algorithms which can process multiple received versions of a signal to enhance the signal's effective SNR can also be employed.