106 results about "Interference ratio" patented technology

The invention discloses an unmanned aerial vehicle anti-interference communication link control method based on heterogeneous network convergence, and relates to the technical field of unmanned aerial vehicle anti-interference communication, and the method comprises the steps: S1, interference sensing and network state modeling, S2, intelligent link decision making, S3, spectrum avoidance and resource scheduling, S4, distributed feedback and cooperative anti-interference, and S5, heterogeneous network cooperative relay. S6, resource allocation and energy efficiency optimization; S7, performance evaluation and parameter optimization; and S8, multi-link redundancy backup. According to the invention, through S1, S2 and S7, a sensing, decision-making and optimization closed-loop system is constructed, LSTM interference prediction and three-dimensional network modeling in S1 provide accurate input, a dual deep Q network in S2 realizes low-delay link decision-making, and KPI evaluation and genetic algorithm dynamic parameter adjustment in S7, the signal-to-interference ratio is improved, the anti-interference adaptability is improved compared with a traditional passive response mode, and the method has the advantages that the method is simple and convenient to operate, and the cost is low. The creative breakthrough that interference does not reach strategy precedence is realized; through S3 and S4, an active anti-interference mechanism is formed, and compared with a single avoidance or suppression method, the interference elimination efficiency is improved.

The invention relates to the technical field of electric leakage detection, in particular to an underground coal mine low-voltage remote electric leakage test system and method, and the system comprises a task allocation module, an off-state discrimination module, a signal transmission module, a state recognition module and a path receipt module. According to the method, the loop load level and the channel response condition are accurately evaluated, the task channel is dynamically matched, the task distribution blind area and error are reduced, the impedance difference structure and the continuous feedback trend are integrated to recognize the abnormal branch segment, and the driving and decoding mode is intelligently adjusted by using the signal amplitude and the interference proportion relation; signal transmission stability and data reduction accuracy are improved, a waveform drift trend and a load state combination are calculated in real time to accurately detect an electric leakage position, task initiation and response nodes are compared to ensure path synchronization legality, efficient linkage between load state change and signal drift is realized, electric leakage detection response speed and precision are improved, and reliability of electric leakage detection is improved. And the line abnormal state discrimination accuracy is enhanced.

This application relates to wireless communications, including methods and apparatus to monitor radio link conditions of a cellular wireless network adaptively using a low-power wake-up signal (LP-WUS) burst received by a low-power wake-up radio (LP-WUR) of a wireless device when possible and switching to using legacy reference signals received by a main radio only when required. The LP-WUS burst is processed by the LP-WUR to determine a block error rate (BLER) value and / or a signal-to-noise-plus-interference ratio (SINR) value to determine whether the wireless device is in an out-of-sync (OOS) condition. The main radio can be awakened, including when directed to sleep by the cellular wireless network, to perform radio link monitoring when the OOS condition is determined.

The invention discloses an LEO satellite power distribution and association method and system based on a cellular-free architecture in the technical field of wireless communication, and the method comprises the steps: carrying out the maximum ratio transmission precoding of all satellite access points, and generating a coding modulation signal; after the target users receive the coded modulation signals, receiving signals are formed at a receiving end, and the signal-to-interference ratio and the downlink transmission rate of each target user are calculated through the receiving signals; accumulating downlink transmission rates of all target users through a central satellite, and calculating system energy efficiency in combination with total power consumption of all satellite access points; and constructing an objective function with maximization of the system energy efficiency, solving the objective function through an iterative optimization algorithm under the constraint condition of a satellite transmitting power upper limit and a user-satellite coverage relationship, and determining an optimal power allocation and user-satellite association scheme. The method can adapt to the high-speed motion characteristic of the LEO satellite, and the system energy efficiency and the resource utilization rate are remarkably improved.

The invention relates to the technical field of voice signals, in particular to a two-step mixed sound source separation and de-reverberation method, which comprises the following steps of: firstly, carrying out separation network training by taking different types of signals as training targets in various separation networks for separating attention and the like; the invention provides an improved de-reverberation method based on a time convolution network-weight prediction error, multiple improvement strategies such as taking a scale invariance signal-to-noise interference ratio as a network loss function, adopting a transposition mechanism for an input signal and a mechanism for additionally adding a residual value to a network unit are used, and finally, the de-reverberation method based on the time convolution network-weight prediction error is obtained. And cascading the separation attention network with the best separation noise reduction effect with the time convolution-transpose-residual error-WPE network. According to the invention, the problem that the separation effect of the mixed audio signal with reverberation and noise signals is not good under the actual sound field condition is solved, compared with a single one-step or two-step existing separation, de-mixing and noise reduction network, the method is significantly improved, and the quality of the separated voice can be improved for later recognition and discrimination.

The present disclosure provides a system and a method for generating a path loss propagation model through machine learning. The system generates a path loss propagation model for fifth generation (5G) networks for network planning. The path loss model predicts a reference signal received power / signal to noise interference ratio (RSRP / SINR) by leveraging a fourth generation (4G) user data.

The invention provides a synthetic aperture radar imaging radio frequency interference detection method and system, and the method comprises the steps: S1, setting an SAR working time sequence design for radio frequency interference feature collection; s2, observing earth through an SAR satellite to obtain original echoes; s3, according to the working time sequence of the SAR, interference detection is carried out on echo data corresponding to SAR non-transmitted pulses, interference parameters are extracted at the same time, and a radio frequency interference signal model is established; s4, according to the radio frequency interference signal model parameters and original echoes, interference detection and suppression are carried out on echo data corresponding to each transmitted pulse again; and S5, outputting SAR echo data after interference suppression, and performing focusing imaging processing. The method can effectively solve the interference signal-to-noise ratio problem of SAR satellite interference detection, improves the interference detection and suppression capability, and can provide important technical support for the future SAR system design.

The invention provides a method for extracting complex electromagnetic interference sensitive parameters of a data link of an unmanned aerial vehicle and a related device, and the method comprises the steps: initializing an observation data set, observation data in the observation data set comprises an interference signal parameter group and a signal-to-interference ratio threshold which causes the unmanned aerial vehicle to lose lock of a data link under the electromagnetic interference of the interference signal parameter group; constructing a target function by taking the interference signal parameter group as an independent variable and taking signal-to-interference ratio threshold maximization as an optimization target, and constructing a proxy model of the target function by adopting a Gaussian process; inputting the interference signal parameter group in the current observation data set into the proxy model, and determining posterior characteristic parameters; constructing an acquisition function based on the posterior characteristic parameters, selecting an interference signal parameter group in the search space to carry out an electromagnetic interference experiment, determining a corresponding signal-to-interference ratio threshold value, and updating the current observation data set; the above process is repeated until the preset convergence condition is met, the electromagnetic sensitivity parameter combination can be obtained more quickly, and the manpower, material and time costs of the electromagnetic sensitivity test are reduced.

The invention relates to the technical field of satellite internet, and discloses a multi-satellite cooperative beam hopping resource allocation method and system based on interference avoidance, and the method comprises the steps: 1, constructing a multi-satellite beam hopping cooperative coverage interference analysis model; 2, modeling is carried out on a multi-satellite-hopping-beam multi-dimensional resource scheduling problem; 3, defining interference between spatial isolation measurement hopping beam patterns, constructing an interference constraint matrix, determining a shortest distance threshold value through a carrier-to-interference ratio threshold value, deducing an interference model in a same-rail scene and a different-rail scene, and bringing the carrier-to-interference ratio threshold value into optimization problem constraint; step 4, carrying out graph structure modeling based on GAT-PPO; 5, an Actor decision layer outputs a beam scheduling probability matrix and a power distribution vector in a double-branch mode, an action space is subjected to multiple constraints, and a reward function balances throughput and interference suppression; step 6, adopting a centralized training-distributed execution framework; according to the method, interference model analysis of multi-satellite cooperative coverage based on interference avoidance is constructed, and real-time analysis and scheduling of the interference condition are carried out.

The invention relates to the technical field of wireless networking, in particular to a shipborne digital wireless ad hoc network method and system, and the method comprises the following steps: obtaining ship communication equipment information, constructing a layered mark matrix, generating a node role identifier set, monitoring response time delay, judging a connection relation, and establishing a communication topology. And optimizing spectrum allocation according to an interference ratio and an overlapping coefficient, completing channel matching and path completion, executing AES encryption and encapsulation of data frames, and decrypting and verifying time delay record effective data frames by a receiving end according to a key index. According to the invention, through combination of hierarchical marks established by node equipment information and communication roles, the accuracy of inter-node connection priority and hierarchical mapping is improved, through dual detection of the interference ratio and the spectrum overlapping coefficient of the channel, the stability of a communication path and the channel utilization rate are improved, and the communication efficiency is improved. In a node link matching process, path breakpoints are complemented to guarantee network integrity, a security header field is embedded in combination with a key index and a channel number, and the security guarantee level of data encryption transmission is improved.

The application provides a hybrid user unlicensed random access method in a cell-free massive MIMO, comprising the following steps: deploying a cell-free massive MIMO system and calculating an optimal backoff parameter; after obtaining the optimal backoff parameter, an access point broadcasts the optimal backoff parameter to all users; the users randomly activate according to the optimal backoff parameter broadcast by the access point; the users successfully activated randomly select a pilot from a predefined pilot pool and send the pilot to the access point; the access point judges whether the signal-to-interference ratio of the user with the maximum signal strength among the users selecting the same pilot is greater than a threshold value; if yes, the access point identifies the user with the maximum signal strength and accesses the user; otherwise, all the users in conflict are considered to have failed to access and wait for the next reinitiation of access. The application can significantly improve the problem of poor performance of edge users, improve the access efficiency of various types of users in an Internet of Things scene, has high feasibility and can be applied to an actual communication scene.

The invention relates to the technical field of modern communication, and discloses a wireless network card power adaptive control method and system. The method comprises the following steps: acquiring real-time interference data, performing spectrum change according to the real-time interference data to obtain an interference intensity distribution diagram, performing interference correlation analysis and power optimization calculation according to the interference intensity distribution diagram to obtain a power configuration scheme, performing parameter updating according to the power configuration scheme to obtain a preliminary power correction result, and performing power optimization calculation according to the preliminary power correction result. The method comprises the steps of obtaining a preliminary power correction result, carrying out interference comparison evaluation according to the preliminary power correction result to obtain deviation information, carrying out power optimization according to the deviation information to obtain an optimized power configuration scheme, and carrying out synchronous configuration and index feedback analysis according to the optimized power configuration scheme to obtain a final regulation command set. According to the method, the problem that interference chain reaction is easily caused by equipment power adjustment can be solved, so that stable communication and interference suppression in a complex network environment are realized.

The invention discloses a region-centered unmanned aerial vehicle coverage rate analysis method. The method comprises the following steps: constructing a region-centered unmanned aerial vehicle cooperative transmission model; fractional power control is carried out on the service unmanned aerial vehicle and the interference unmanned aerial vehicle; calculating the signal-to-interference ratio of the typical user based on the transmitting power of the service unmanned aerial vehicle and the interference unmanned aerial vehicle; based on the stochastic geometry theory, the coverage probability of typical users is obtained through service distance distribution, signal power distribution and interference distribution in combination with a Cauchy-Schwarz inequality and Gamma distribution approximation; the unmanned aerial vehicle density, the power control coefficient, the path loss index and the Nakagami fading parameter are set, the influence of the number of different service unmanned aerial vehicles, the power control coefficient and the channel condition on the coverage probability is analyzed, and simulation verification is carried out. According to the method, the technical problem of how to suppress the network interference of the unmanned aerial vehicle through power control in a complex interference scene is solved, and the network coverage rate of the unmanned aerial vehicle is calculated.

Provided herein is a method and system for managing multiple Access Points (APs) in a wireless network utilizing a multi-dimensional, cluster-based coordination scheme, known as a hybrid scheme. The hybrid scheme harmonizes the frequency and spatial domains to achieve consistent Signal-to-Interference Ratio (SIR) for all Main Access Points (M-AP) and Secondary Access Points (S-AP) Service Stations (STAs). In various implementations, the hybrid scheme may apply specific algorithms for coordinating the M-APs and S-APs.

Disclosed is a method for adapting a communication channel of a URLLC service, the method being designed to ensure reliability when performing the URLLC service and being performed in a communication system having at least one transmitter node (eNode) and a receiving or mobile terminal, wherein the receiving or mobile terminal measures an expected signal-to-interference ratio (SIR) using a reference signal received at time t=i-1 and converts the SIR value (SIR) into a desired signal-to-interference ratio (SIR). i‑1 ) is stored in the memory. According to the present invention, the SIR value (SIR i‑1 ), determine the CQI value (CQI i‑1 ) and sends it to the transmitter node (eNode), which transmits the CQI (CQI i‑1 ) selects the modulation and coding format (MCSi) for subsequent transmission in the downlink, wherein, when receiving a data packet sent by the transmitter node (eNode) at time t=i, the receiving terminal measures the SIR (SIRi) and saves it in a memory.

This invention discloses a method, system, storage medium, and electronic device for suppressing mutual interference in spaceborne synthetic aperture radar (SAR) scattered waves based on matched filtering. The method includes the following steps: estimating relevant parameters of mutual interference based on prior orbit information and time-frequency relationships; performing range pulse compression on the interference signal in the echo data; detecting whether the range pulse contains interference using the maximum eigenvalue sequence detection method; calculating the relative signal-to-interference ratio (SIR) of the interference pulse; reconstructing and extracting the interference signal under high SIR and low SIR conditions using the eigenspace projection method and robust principal component analysis method, respectively; filtering it from the echo data; and then performing inverse range compression on the data to restore the interference-free normal echo. This invention effectively utilizes the compression gain of mutual interference, thereby more effectively extracting mutual interference signals from SAR echoes and achieving high-precision interference suppression while better protecting useful signals.

This application provides a target detection method, apparatus, and device based on a novel weighted coding method. The method includes: selecting multiple discrete velocities within the predicted relative velocity range between the detection platform and the target; calculating the Doppler shift factor corresponding to each discrete velocity; solving for the locally optimal weighted coding that minimizes the weighted sidelobe level under each Doppler shift factor using an improved solution algorithm, wherein the improved solution algorithm incorporates the Doppler shift factor as a coefficient into the expression for the weighted sidelobe level; and calculating the globally optimal weighted coding based on all locally optimal weighted codings, wherein the globally optimal weighted coding is used to construct the transmitted signal of the detection platform. Through this application, even when the specific relative velocity is unknown, the transmitted signal can ensure that its range sidelobe level is suppressed to a low range at any velocity within the entire prediction range, thereby ensuring a stable signal-to-interference ratio (SIR) after matched filtering.

The application discloses a kind of movable antenna cooperation NOMA's user downlink system optimization method and system, belong to wireless communication technical field.Its method includes: obtaining the position of user movable antenna and the receiving path of user to base station link;Calculate the channel gain between user and base station;Calculate the signal-to-noise ratio of user, calculate the mobile energy consumption of user movable antenna;According to the mobile energy consumption of user movable antenna and the transmission power allocated to user, the objective function of system total energy consumption model is constructed, according to the signal-to-noise ratio of user, user mobile area, the channel gain order between user and base station, the transmission power order allocated to user, the constraint of system energy consumption model is constructed;System total energy consumption model is converted into convex optimization problem, and the transmission power allocated to user after optimization and the position of user movable antenna after optimization are obtained.The application can realize the performance improvement of system, and solve the complexity brought by optimization problem simultaneously.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method of a user equipment (UE) in a wireless communication system includes determining an on-off keying (OOK) waveform for a low power synchronization signal (LP-SS), and determining at least one of an LP-SS reference signal received power (LP-RSRP), an LP-SS reference signal received quality (LP-RSRQ), an LP-SS received signal strength indicator (LP-RSSI), and an LP-SS signal to noise and interference ratio (LP-SINR) based on the LP-SS. The determined at least one of the LP-RSRP, the LP-RSRQ, the LP-RSSI, and the LP-SINR is based on a segment having a non-zero value in the OOK waveform of the LP-SS. The method further includes performing, using a low power receiver (LR) of the UE, a first radio resource management (RRM) measurement based on the LP-SS.

The application provides an artificial intelligence-based portable base station networking method and system, relates to the technical field of communication, and can acquire the obstacle density of the area where the portable base station is located, the distance between the portable base station and neighbor base stations and the signal interference ratio; inputs the obstacle density, the distance between the portable base station and neighbor base stations and the signal interference ratio into an environment perception model to obtain the link stability score corresponding to the portable base station; inputs the link stability score, the energy information of the portable base station and the device communication state and the energy information of the neighbor base station into a resilience topology model to obtain the topology evaluation information of the portable base station; the resilience weight vector at least includes first information for indicating the topology reconstruction priority and second information for indicating the connection type; and in the case where the first information is greater than a preset reconstruction priority threshold value, the networking operation is performed according to the second information. The connection demand of the portable base station in a dynamic environment can be met.

The invention provides a signal processing method and device, electronic equipment, a chip and a storage medium, and relates to the field of communication, and the method comprises the steps: carrying out the noise estimation of a receiving signal received by at least one receiving antenna, so as to obtain an initial noise correlation matrix of the receiving signal; according to the initial noise correlation matrix, determining an interference scale factor used for representing the proportion of white noise and interference in the received signal; according to the interference scale factor, correcting the initial noise correlation matrix to obtain a target noise correlation matrix; and performing noise and interference suppression on the received signal based on the target noise correlation matrix to obtain a demodulation signal. Therefore, the difference between the estimated noise correlation matrix and the real noise correlation matrix can be reduced, the accuracy of noise correlation matrix estimation is improved, and on the basis, noise and interference suppression is performed on the received signal based on the accurate noise correlation matrix, so that the finally obtained demodulation signal is closer to the real sending signal.

The invention belongs to the technical field of communication, and discloses a user pairing method of a communication perception calculation deep fusion NOMA technology, which comprises the following steps of: configuring a parameter N and a signal-to-interference ratio threshold difference between NOMA pairing users in a parameter configuration mode in a base station; dividing the cell into a central area and an edge area based on fractional frequency multiplexing; based on soft frequency reuse, dividing a central region where the user meeting the NOMA pairing condition is located into an inner central region and an outer central region which are equal in area from inside to outside, and respectively dividing the inner central region and the outer central region into 2N NOMA pairing regions with equal central angles; positioning a current service user by adopting a user position sensing technology; and pairing the users meeting the NOMA pairing condition in the users in the inner central area and the outer central area. According to the method, NOMA pairing in a new-generation mobile communication system is simplified by utilizing a sensing and communication fusion technology, the system performance is improved, the actual scene of network deployment is considered, and the NOMA technology is not adopted for edge users with poor channel conditions.

The invention provides a cooperative positioning method and system based on a TDOA system and countering equipment. Interference signals sent by the countering equipment and unmanned aerial vehicle signals sent by an unmanned aerial vehicle are periodically received through all TDOA stations; obtaining a current baseband IQ sequence corresponding to each TDOA site in the current period; respectively determining the TDOA sites which have the minimum linear distance and the second small distance with the countering equipment in the TDOA system as a first TDOA site and a second TDOA site; and according to all the current baseband IQ sequences, carrying out TDOA positioning in the current period, specifically, obtaining a current cross-correlation sequence; acquiring a current interference detection threshold based on the current cross-correlation sequence; acquiring a current interference ratio; obtaining a current target baseband IQ sequence corresponding to each TDOA station based on the fact that the current interference ratio is smaller than or equal to a preset continuous interference signal threshold value; and obtaining a positioning result of the unmanned aerial vehicle in the current period according to each current target baseband IQ sequence. Therefore, the positioning precision of the unmanned aerial vehicle is improved.

This invention relates to an unsupervised learning method and apparatus for single-channel blind source separation and anti-interference in direct-sequence spread spectrum (DSSS) communication systems, relating to the fields of wireless communication signal processing and deep learning. Addressing the problem of extremely low signal-to-interference ratio (SIR) and lack of clean signal labels in single-channel DSSS systems under strong interference environments, this invention constructs an interference estimator based on a large receptive field convolutional neural network. Utilizing the spectral bias characteristics of deep neural networks, unsupervised training is performed by simultaneously using a mixed signal as both input and training target. Combined with an early stopping strategy, the network prioritizes fitting structured strong interference while ignoring noise-like DSSS signals. The estimated interference signal is used to separate the DSSS signal from the mixed signal. Finally, a synchronization correction module based on sliding correlation peaks eliminates the phase shift introduced by network processing. This invention achieves efficient blind source separation in a single channel without requiring prior interference parameters or clean signal labels, significantly improving the anti-interference performance of DSSS systems.

The invention provides a multi-channel routing anti-interference decision-making method for a limited buffer area, and the method comprises the steps: 1, analyzing the interference of a jammer, the mutual interference between nodes, the influence of channel noise and path loss on a signal-to-interference ratio in an interference scene of a multi-hop wireless network, and calculating the transmission rate between adjacent nodes; 2, calculating the data volume of a node buffer area according to the data packet arrival rate, the interference conflict, the mutual interference conflict, the buffer area overflow packet loss and the maximum transmission frequency packet loss; 3, modeling an anti-interference routing and channel joint optimization problem of the distributed multi-hop network as a partial observable random game; the nodes realize long-term efficiency maximization based on local observation information; step 4, setting a layered DQN architecture; a routing anti-interference problem in a multi-channel scene is split into upper-layer routing planning and lower-layer channel selection. According to the method, the successful transmission rate of the data packet is improved, and the convergence speed of the algorithm is accelerated.

The embodiment of the present disclosure discloses a flexible combined multifunctional broadband metasurface antenna for synthetic aperture radar, which comprises, from inside to outside, a core metasurface antenna located at the center and a peripheral metasurface located at the periphery, and the core metasurface antenna and the peripheral metasurface are connected through a U-shaped slot plug structure, wherein the core metasurface antenna and the peripheral metasurface can be replaced according to different application scenarios. The present disclosure has the characteristics of simple and reliable modular structure and flexible configuration according to task requirements; it meets the requirements of high-precision multiple transmission modes and corresponding amplitude-phase consistent multiple polarization reception of synthetic aperture radar, effectively increases the working bandwidth of the core antenna under low profile, reduces the radar scattering area of the antenna, optimizes the antenna radiation pattern and reduces the mutual coupling characteristics, further improves the imaging performance of the synthetic aperture radar, and reduces the signal-to-interference ratio of the synthetic aperture radar system.

The invention discloses a signal modulation mode identification method based on self-paced self-distilled adversarial training, and the method comprises the steps: employing ResNet18 as a basic network of a modulation mode identification model, and constructing the modulation mode identification model; the method comprises the following steps of: defining the attack resistance intensity of a signal-to-interference ratio quantization communication signal sample, dividing training steps of self-paced learning, setting a training round of each training step, and starting a modulation mode identification model training process; in each training step, generating an adversarial sample under a current modulation mode identification model for each communication signal sample in the training set, evaluating the difficulty level of the adversarial sample of the communication signal based on a model feedback mechanism of a loss quantile, and endowing different weights; and constructing a total loss function based on the weighted cross entropy loss and the self-distillation loss, inputting a communication signal under an anti-attack condition into the trained signal modulation mode identification model, and carrying out modulation mode identification. According to the invention, the recognition accuracy of the signal modulation mode under the countermeasure attack is improved.

Embodiments disclosed herein relate to techniques for measuring and / or detecting a signal-to-interference ratio (SIR) of a received signal at a user equipment (UE). The received signal may include a desired signal, co-channel interference, adjacent channel interference, and an in-band blocker. The UE may filter (e.g., remove) the various interferences and in-band blocker. The UE may determine or measure a power (or Received Signal Strength Indicator (RSSI)) of the desired signal and a power (or RSSI) of the co-channel interference separately because the desired signal and the co-channel interference overlap in frequency. To do so, the UE may determine a total power of the received signal including the desired signal and co-channel interference. The UE may receive the desired signal again while an uplink transmission is deactivated (and thus without the interference). The UE may then calculate the SIR based on the total power and the power of the desired signal.

The present invention provides a method for estimating an interference power threshold based on unmanned aerial vehicle (UAV) frequency hopping communication, comprising the following steps: detecting the communication signal parameters and azimuth angles of the uplink and downlink of the UAV frequency hopping communication system using a radio frequency signal detection device; obtaining the distance, azimuth, pitch angle, and altitude parameters between the UAV and the interference system through radar detection, and calculating the communication distance between the UAV and the ground station and the ground station transmission power based on the detected communication signal parameters and location information; setting a minimum bit error rate value for blocking UAV communication, calculating the minimum signal-to-interference ratio threshold acceptable to the UAV communication receiver, and determining the interference power threshold for the UAV frequency hopping communication. The present invention, based on the interference power threshold estimation method and system for UAV frequency hopping communication, can estimate the interference power threshold for civilian UAVs based on the characteristic parameters of the UAV frequency hopping communication, meeting actual application scenarios and optimizing the interference effect.

The invention discloses a beam control method and device for a constellation network, equipment, a medium and a program product, which are used for effectively improving the communication quality of the constellation network while saving beam resources and reducing communication energy consumption and radio frequency link energy consumption. The method comprises the following steps: acquiring ephemeris information and a beam directional diagram of a constellation network; based on the ephemeris information and the beam directional diagram, a beam switch optimization model for the constellation network is constructed, and the beam switch optimization model is constructed with the number of terminals with the carrier-to-interference ratio larger than a preset threshold value in the constellation network and the number of activated beams in the constellation network as a joint optimization target; under a preset constraint condition, performing iteration processing on the beam switch optimization model according to a genetic algorithm to obtain a beam switch matrix; and controlling the beam switching state of at least one satellite in the constellation network by using the beam switching matrix.