71 results about "Interference ratio" patented technology

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 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.

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 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.

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 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.

The invention relates to the technical field of satellite communication, and discloses a satellite constellation space density determination method and system, electronic equipment and a medium, and the method comprises the steps: obtaining a signal to interference plus noise ratio according to the useful signal power and interference signal total power of a signal transmitted by a service satellite and received by a user; obtaining a user information rate according to the signal to interference plus noise ratio and the bandwidth; and obtaining the target BSD according to the user information rate. According to the invention, the cost of global coverage of constellations is reduced while high-speed communication of users is realized.

The application provides a Hadamard-LDPC iterative decoding method based on interference suppression and belongs to the technical field of wireless communication. The method comprises the following steps: initializing Hadamard check nodes and decoder variable nodes according to log-likelihood ratio (LLR) values; iteratively using variable node decoders and Hadamard check node decoders; estimating impulse interference power information and calculating impulse interference power variance; weighting and updating channel receiving information LLR values by using the impulse interference power variance; obtaining updated decoder variable node posteriori LLR values; decoding and judging whether the maximum iteration number is met; if the maximum iteration number is not met, iteration is continued; if the maximum iteration number is met, a decision is made according to the sign of the updated decoder variable node posteriori LLR values; and finally, a decision result is output. Through real-time cognition of the interference power of each bit and updating of channel information, the application can suppress the confidence of the interfered bits in the iterative decoding process, reduce the influence of interference on decoding performance, and improve the anti-interference capability and decoding performance of the system.

This application provides a method, apparatus, base station equipment, and storage medium for avoiding inter-cell interference. The method includes: modifying the positions of synchronization signals and Physical Broadcast Channel Blocks (SSBs) transmitted by cells within a group in the time domain based on the remainder of the Physical Cell Identifier (PCI) modulo 3 of the cells within the group. The SSBs transmitted by cells with different PCI modulo 3 remainders occupy different positions in the time domain. This application sets the positions of SSBs transmitted by cells within a group in the time domain based on the PCI modulo 3 remainder of the cells within the group, ensuring that the SSBs transmitted by different cells within the same group occupy different positions in the time domain, thereby reducing interference from neighboring cell SSBs and improving the synchronization signal-to-noise ratio (SNR) and interference ratio (IRR).

The invention relates to the technical field of satellite navigation, in particular to a GNSS (Global Navigation Satellite System) suppressing interference coverage rate evaluation method and system based on an irregular triangular grid, and the method comprises the steps: dividing a to-be-evaluated region into a determined region, a fuzzy region and a non-important region according to a maximum interference distance; selecting key feature points from the digital terrain surface model of the to-be-analyzed area by using a high-pass filter, and constructing an irregular triangular grid; judging an area to which each grid point in the triangular grid belongs, taking a GNSS interference source erection point as a starting point, carrying out visual field analysis on the to-be-evaluated area, adjusting the importance of each grid point through an interference scale factor, and updating the irregular triangular grid; and sampling the grid points, determining the disturbed state of each grid point, calculating the area of the grid points in the disturbed state, and obtaining the GNSS suppression interference coverage rate of the to-be-evaluated region based on the area of the grid points in the disturbed state and the area of the to-be-evaluated region. According to the method, the evaluation efficiency and the accuracy can be well balanced.

The application discloses a kind of motorized platform radar cooperative detection anti jamming interference performance quantification evaluation method: step 1, determine anti-interference performance benchmark scene, calculate the signal-to-interference ratio received by single radar under anti-interference performance benchmark scene;Step 2, determine the scene to be evaluated, and calculate the signal-to-interference ratio of each radar;Step 3, according to the signal-to-interference ratio of each radar and the signal-to-interference ratio received by single radar under benchmark scene, calculate the anti-interference performance improvement degree of each radar;Step 4, according to the anti-interference performance improvement degree of each radar, calculate the anti-interference performance improvement degree of radar system in the scene to be evaluated.The method of the application defines the anti-interference capability improvement degree, evaluates the anti-interference performance of single machine and system from the angle of signal-to-interference ratio, improves the accuracy of evaluation result, so that the evaluation result is more reliable.

The present disclosure relates to a channel estimation method, a channel estimation device and a storage medium. The channel estimation method comprises: determining a channel estimation neural network model corresponding to a signal-to-interference ratio (SINR), and determining a first channel response estimation value of a channel; inputting the first channel response estimation value into the channel estimation neural network model to obtain a second channel response estimation value of the channel; and determining the second channel response estimation value as an estimation value of the channel. The present disclosure can estimate the channel through the channel estimation neural network model, thereby improving the estimation accuracy of the wireless channel.

The method comprises the following steps: converting an original symbol from a time delay Doppler domain into an intermediate domain at a transmitting end of an orthogonal time-frequency-space system, carrying out interleaving processing, converting a received signal from a time domain into the intermediate domain after a receiving end receives the signal, detecting a peak value of an element in the symbol in the intermediate domain at the receiving end, and calculating frequency offset according to an intermediate domain index corresponding to the peak value, so as to obtain the frequency offset of the orthogonal time-frequency-space system. Performing frequency compensation on the received signal; converting the compensated receiving signal from a time domain to an intermediate domain to execute interference detection, performing zero setting processing on a detected interference element, converting the interference element into the time domain, recovering the interference element to an original frequency, converting the interference element into the intermediate domain, performing de-interleaving processing, converting the interference element into a time delay Doppler domain from the intermediate domain to obtain an original symbol, and outputting the original symbol. And narrowband interference suppression of the orthogonal time-frequency-space system is realized. The OTFS narrowband interference suppression method can realize OTFS narrowband interference suppression under the condition of no prior information, and can obtain an effective interference suppression effect under different signal-to-interference ratio conditions.

In order to solve the defects in the prior art, the invention provides a method for obtaining signal-to-interference ratio threshold distribution of communication equipment in an electromagnetic environment, which comprises the following steps of: determining a communication success rate under each interference power through a simulation experiment, and determining an interference equipment level value analysis interval in which the communication success rate is reduced from 100% to 0% or close to 0%. And solving to obtain corresponding receiving end signal-to-interference ratios under different interference source device levels and different communication signal transmitting powers in the interference device level value analysis interval. A communication reliability analysis model is constructed based on a stress-strength model by taking signal-to-interference ratio distribution caused by interference noise as stress distribution and taking signal-to-interference ratio threshold distribution of equipment as equipment strength distribution. And substituting the solved data into the communication reliability analysis model, and solving to obtain the signal-to-interference ratio threshold value distribution of the communication equipment in the electromagnetic environment. According to the method, the limitation of a traditional fixed threshold model is broken through, and the inherent volatility of the anti-interference capability of the equipment is described more accurately through probability distribution.

The invention discloses a multi-user uplink-oriented hierarchical resource contraction type fluid antenna multiple access method, which comprises the following steps of: establishing a receiving device configured with M fluid antennas and an uplink communication system model of M single-antenna users, and sharing the same time-frequency resource; the receiving device determines a user processing sequence based on the path loss, and initializes an optional antenna-port resource pool; an antenna-port with the maximum signal to interference plus noise ratio is selected for a user in sequence, then all ports of the antenna are removed from a resource pool, and resource hierarchical shrinkage is achieved; after all the ports are determined, the user sends signals at the same time; the receiving device decodes in sequence and performs serial interference cancellation, and finally calculates the system sum rate; according to the method, the defects of insufficient global gain and unstable decoding performance caused by lack of cooperation of port selection and interference elimination in the prior art are effectively overcome, multi-antenna space resources are utilized to the maximum extent, and the system sum rate and the multiple access performance are remarkably improved.

The invention discloses an interference suppression method and device based on deep learning. According to the method, the pre-trained deep learning model is adopted to execute end-to-end interference suppression, and the limitation that a traditional method depends on a fixed rule can be effectively overcome. According to the method, training is carried out under the condition of a limited training set (such as a fixed signal-to-noise ratio, a multi-signal-to-interference ratio and comb interference combination), so that the model can adaptively learn an end-to-end mapping relation from an interference-containing receiving signal to a clean signal. After training is completed, the model can be deployed offline, shows high scene adaptability and generalization ability in practical application, and can cope with dynamic changes of a signal-to-noise ratio, a signal-to-interference ratio and an interference type, so that more accurate interference suppression is achieved in a complex and changeable interference environment, and damage to useful signals is avoided to the maximum extent.

The application discloses a communication reliability evaluation method and device based on signal-to-interference ratio distribution and a communication reliability modeling method, and relates to the technical field of communication. The evaluation method comprises the following steps: in an electromagnetic interference test scene, fitting to obtain signal-to-interference ratio distributions of a receiving node under different electromagnetic interference stress levels and communication failure probabilities of the receiving node under the different electromagnetic interference stress levels; determining function expressions of cumulative distribution functions of the signal-to-interference ratio distributions of the receiving node under each electromagnetic interference stress level at a signal-to-interference ratio threshold of the receiving node; determining that a corresponding function expression of the receiving node under the same electromagnetic interference stress level and the communication failure probability are in an equal relationship, and determining the signal-to-interference ratio threshold based on the equal relationship; in a communication scene, determining a signal-to-interference ratio of the receiving node; and in the case that the signal-to-interference ratio is greater than or equal to the signal-to-interference ratio threshold, determining a reliability of the receiving node in completing a communication task under a current electromagnetic environment according to the signal-to-interference ratio threshold of the receiving node and a target T distribution. The evaluation method is simple, easy to apply and has high reliability.