71 results about "Probability of error" patented technology

The invention provides a covert communication method based on near-field broadband super-large-scale array beam splitting. Comprising the following steps: S1, according to an applied near-field covert communication scene, constructing a corresponding communication model by using a beam splitting effect in a broadband XL-MIMO system, carrying out beam training, and describing a received signal expression of the communication model; s2, constructing a signal detection model of a listener according to a near-field covert communication scene, and describing a detection error probability expression and a covert constraint expression; and step S3, the hidden transmission rate is maximized by optimizing the transmitting power and the subcarrier number of the transmitter. According to the method, the two-dimensional optimization problem related to the transmitting power and the subcarriers is converted into the one-dimensional optimization problem related to the discrete variable quantum carrier number, and the concealment rate of a legal receiver is maximized.

The invention discloses a method for estimating the safety communication rate of a near-earth satellite by using an SDFS cooperating with a GLRT. The method comprises the following steps: constructing a communication system model between the near-earth satellite and a ground terminal; analyzing the signal and channel characteristics, and obtaining the distance between the nodes, the channel gain and the received signal distribution; under the condition that the transmitting power of each monitoring party is unknown, estimating the transmitting power by adopting generalized likelihood ratio test, and independently executing the generalized likelihood ratio test based on the observation data of each monitoring party; the superior manager performs joint judgment based on a soft decision fusion scheme in combination with the generalized likelihood ratio test result of each monitoring party and a joint threshold so as to estimate the detection error probability of the monitoring party; a joint optimization strategy of the transmitting power and the number of continuous transmission time slots is constructed, and the total throughput of the system is maximized under the condition that the cooperative concealment constraint is met; according to the invention, an innovative solution is provided for reliable communication of the near-earth satellite in a complex monitoring environment.

The invention belongs to the field of customs affair auditing, and particularly relates to a customs affair compliance intelligent auditing system and method, and the method comprises the steps: a data collection module synchronously generates an auditing rule updating table and a customs declaration service information table in real time through a multi-mode extraction algorithm; the compliance auditing module completes multi-dimensional compliance verification based on a transverse service auditing node network, a longitudinal service transmission node chain and a declaration node network in combination with a dynamic rule priority index and reinforcement learning algorithm; the evaluation optimization module calculates a service transmission risk probability, an auditing delay probability and an error probability in real time through a bidirectional risk evaluation model, and feeds back the probability to an auditing space to optimize a rule weight and a flow path; through a composite auditing architecture of'declaration clustering + longitudinal encryption transmission + transverse topological association ', dynamic adaptation of auditing rules, accurate risk traceability and intelligent process optimization are realized, and the problems of low efficiency in integration of multi-source heterogeneous data and lagging auditing of complex business scenes in cross-border trade are effectively solved.

The embodiment of the invention provides an MFT system automatic configuration method and system based on an intelligent algorithm, and belongs to the technical field of automatic control. The method comprises the following steps: preprocessing data, and executing value feature and mode extraction; constructing an MFT domain knowledge graph based on the extracted value features and modes, and optimizing a logic structure of an MFT system by using a genetic algorithm based on the MFT domain knowledge graph so as to generate an optimal logic structure by defining a fitness function; based on a reinforcement learning technology and the optimal logic structure, constructing an intelligent decision model by learning historical operation data; and creating a digital twinborn model of the target MFT system based on the intelligent decision model, verifying the configuration of the MFT system based on the digital twinborn model of the target MFT system, and importing the configuration of the MFT system passing the verification into a practical project. According to the scheme, the manual workload and the error probability are remarkably reduced, and high efficiency, intelligence and automation of the MFT system configuration process are achieved.

The invention provides a performance evaluation method for short packet coding communication, and belongs to the technical field of short packet communication. The method comprises the following steps that a system model of short packet coding communication is constructed, the system model comprises a ground base station, an unmanned aerial vehicle, a legal user side and a non-target user side which are in communication connection, and a reconfigurable intelligent surface is configured on the unmanned aerial vehicle; and according to all channel state information of the system model, carrying out average reachable secrecy rate analysis, average decoding error probability analysis and secrecy interruption probability analysis on the system model in sequence, and evaluating the performance of the system model according to all analysis results. According to the invention, the safety and reliability of performance evaluation of short packet coding communication can be improved.

The invention discloses a hidden communication method for assisting unmanned aerial vehicle relay based on a buffer area, and the method achieves the maximization of the average throughput of a system through the introduction of the buffer area, and meets the hidden detection constraint of an eavesdropper. Aiming at the characteristics that the position of an eavesdropper is uncertain and the eavesdropper has mobility, the optimal detection threshold of the eavesdropper is deduced, and then a closed expression for detecting error probability is obtained. In the aspect of system optimization, the concealment constraint is converted into a new form, an optimal transmitting power distribution scheme of an unmanned aerial vehicle relay and a friendly unmanned aerial vehicle jammer is designed, and the balance between the communication concealment and throughput is ensured. Meanwhile, the existence of the optimal unmanned aerial vehicle track is proved by analyzing the upper and lower bounds of the throughput of the system, and the optimal receiving and transmitting strategy of the unmanned aerial vehicle relay is provided by combining the size constraint of the buffer area. Numerical simulation and theoretical analysis results show that the method has remarkable effects in improving the average throughput of the system and guaranteeing the communication concealment.

The invention discloses a limited block length optimization method and system of a cellular-free communication perception integrated system, and belongs to the technical field of wireless communication. The method comprises the following steps: constructing a cellular-free multi-station cooperative communication perception integrated architecture, and establishing a channel estimation and data transmission model; deducing a closed expression of the communication transmission delay, the decoding error probability and the sensing precision Cramer-Rao bound under the limited block length; analyzing a Pareto optimal boundary of communication and sensing performance by adopting a non-dominated sorting genetic algorithm, and determining a block length feasible region; and designing a dynamic optimization algorithm based on a double-depth Q learning network, and realizing collaborative optimization of the communication performance by adaptively adjusting the block length. The method solves the problem that high communication reliability, low time delay and high sensing precision are difficult to consider in a dynamic environment, the overall performance of the system is remarkably improved, and the method is suitable for high-requirement scenes such as automatic driving and industrial Internet of Things.

The invention provides a covert communication method based on STAR-RIS and full-duplex cognitive interference. The method comprises the following steps: establishing a covert communication system model based on STAR-RIS and full-duplex cognitive interference; based on a binary hypothesis testing problem, evaluating a false alarm probability and a missed detection probability of hidden user UR spectrum interception; calculating the false alarm probability, the missed detection probability and the detection error probability of malicious monitor UW detection based on the average receiving power of the malicious monitor UW and the judgment criterion; obtaining the optimal detection threshold and the minimum detection error probability of the malicious monitor UW based on the definition of the detection error probability and the monotonicity of the false alarm probability and the missed detection probability under different classifications; the minimum average detection error probability of the malicious monitor UW is calculated based on the statistical magnitude of the channel hypothesis and the channel power gain. According to the method, the interference signal is transmitted by adopting the full-duplex hidden user, hidden communication is ensured, the inhibition effect of the interference of the direct and cascade double links on monitors in the same area is better, and the probability that information is detected can be effectively reduced.

Disclosed herein is a computer-implemented quantum error correction method for decoding errors in a quantum computer system. The quantum computer system comprises a decoder apparatus and a register of quantum devices. The method comprises receiving, at the decoder apparatus, syndrome data in an initial state, the syndrome data being representative of an error state of the quantum devices in the register of quantum devices, and graph data representative of a graph comprising a plurality of error nodes and a plurality of check nodes. The error nodes represent error mechanisms that can occur on the register of quantum devices. Each check node is associated with one or more measurements which can be performed on the register of quantum devices. The initial state of the syndrome data indicates a check value of marked or unmarked for each check node based on an outcome of its associated one or more measurements. The method further comprises determining, based on a statistical model of error rates associated with the error mechanisms, an error probability associated with each of the one or more error nodes; and generating modified graph data by iteratively performing linear operations on the graph data and syndrome data based on a current state of the syndrome data to determine an independent error node associated with each marked check node. The method also comprises determining, by the decoder apparatus, a correction for the error state based on the modified graph data and, optionally, based on the error probabilities associated with the one or more error nodes.

The invention provides a hidden NOMA communication method based on STAR-RIS partition cooperative interference, and the method comprises the steps: building a STAR-RIS assisted hidden communication system, and enabling the STAR-RIS to be virtually divided into an enhanced transmission region and a cooperative interference region; calculating the communication interruption probability of the hidden user, and simplifying the communication interruption probability by utilizing the probability distribution of the intermediate variable; based on a binary hypothesis testing problem, determining a receiving signal and average receiving power of a malicious monitor, determining a minimum detection error probability of the malicious monitor adopting an optimal detection strategy, and calculating a lower bound of the minimum detection error probability; determining a concealment constraint; and establishing an optimization problem according to the communication interruption probability and the concealment constraint of the concealed user, and solving the optimization problem by adopting an alternating iterative optimization algorithm to obtain the optimal values of the power distribution coefficient and the area unit number of the enhanced transmission area. According to the invention, the transmission reliability and concealment can be improved by using the information relay and interference dual functions of STAR-RIS, and the spectrum utilization rate can be improved through regional cooperation.

The application particularly relates to a polar code SCLF decoding method based on an improved first key set, and belongs to the technical field of channel coding, which takes the first key set as an initial key set, then calculates a theoretical value of bit unreliability by using a channel error probability, calculates an actual value of the bit unreliability by using a path metric value obtained through CA-SCL decoding, compares the actual value of the bit unreliability with the theoretical value, identifies error bits containing SC state paths in the first key set, arranges the error bits in ascending order of channel reliability to form an improved first key set, and finally exchanges decision results on SC state paths in the improved first key set when the first CA-SCL decoding fails. Simulation results show that the method has better error performance and lower complexity compared with RCS-SCLF and D-Post-SCLF decoding methods, and can be combined with a small list CA-SCL decoder to achieve the performance of a large list CA-SCL decoder.

The application discloses a kind of underwater acoustic OFDM communication adaptive frequency domain equalization methods using Transform, it is related to underwater acoustic communication technical field, to solve the problems that existing underwater acoustic OFDM equalization method relies on cyclic prefix, is not sensitive to channel dynamic change, hard decision is prone to error propagation, the Transform framework containing only encoder is used in the present application, the soft decision of received symbol is completed by multi-head self-attention mechanism, and adaptive filtering is realized in combination with feedforward network;In the training phase, the loss function is calculated based on the network output and the true value, and the network parameters and the feedforward equalization filter coefficients are updated synchronously;In the inference phase, the network output is fed back to update the filter coefficients, and the real-time changes of the channel are adapted;The present application significantly reduces the probability of error propagation, and improves the communication reliability under complex underwater acoustic channel.

A device may receive a PDCCH signal, may decode encoded bits of the PDCCH signal to generate coded bits, may reencode the coded bits, and may calculate a detection error probability of each coded bit at an output of soft demodulation. The device may calculate a channel decoding error probability that cyclic redundancy check bits are still attached to the coded bits, and may calculate an error probability of channel reencoding, of each coded bit, due to error propagation of polar decoding and reencoding. The device may calculate a probability density of a BMR associated with the coded bits, and may calculate a threshold based on the detection error probability, the channel decoding error probability, the error probability of channel reencoding, and the probability density of a BMR. The device may determine that the PDCCH signal is invalid based on the BMR being greater than the threshold.

The application discloses a wireless covert detection method and system based on intelligent reflecting surface assistance. The method is as follows: a system model is established, and detection error probabilities of a legal receiver and an illegal detector are derived; an optimal detection threshold is obtained by analyzing an expression of the detection error probability, and the detection error probability is determined; a joint optimization problem of an intelligent reflecting surface phase shift matrix and a transmission power is established; a lower bound of the optimization problem is selected to simplify the optimization problem, and a simplified optimization problem is obtained; the simplified optimization problem is solved, and an optimal intelligent reflecting surface phase shift matrix is determined, and a feasible transmission power is selected to meet a covert constraint requirement. The system comprises a model establishment module, a detection error probability determination module, a joint optimization problem construction module, an optimization problem simplification module and an optimal intelligent reflecting surface phase shift matrix determination module. The application improves the detection performance of the legal receiver, and reduces the detection performance of the illegal detector, so that the requirement of the covert constraint is met.

The invention belongs to the technical field of wireless communication networks, and discloses a coal mine wireless communication system and method. The method comprises the following steps: firstly, constructing a coal mine wireless communication model, wherein the coal mine wireless communication model comprises a plurality of servers and a plurality of sensors; then, based on a coal mine wireless communication model, constructing an end-to-end error probability minimization problem taking a sensor-server matching strategy, a code length and transmitting power as optimization variables; and finally, solving an end-to-end error probability minimization problem, determining a matching strategy, and obtaining a code length-transmitting power allocation optimization scheme. And performing coal mine wireless communication configuration based on the distribution optimization scheme. According to the invention, the end-to-end reliability in a coal mine wireless transmission scene can be improved.

The application discloses a kind of adaptive pilot transmission methods suitable for FDD Massive MIMO system, utilize the stage stationary nature of channel and divide time-varying non-stationary channel into multiple stationary channel blocks, and respectively carry out coherence time estimation to multiple stationary channel blocks, and the pilot transmission interval currently used is decided by coherence time.The steps mainly include channel correlation estimation and pilot interval selection.The application carries out high confidence interval estimation to channel correlation, controls the error probability of coherence time estimation, and tries to avoid the influence of system throughput caused by overestimation of coherence time;The application estimates coherence time using threshold method, and according to the relationship between threshold and system effective signal-to-noise ratio, the threshold setting method is given, so that the adaptive pilot method can meet the demand of channel capacity for specific task.

The present invention provides a microprogram configuration method and system, which relates to the field of microprogram design technology. By receiving a microprogram request from a first user, performing authentication and certification according to the first user, and obtaining the first user authentication and certification result, when the first user authentication and certification result is passed, a matching microprogram is activated, and a microprogram configuration plan is generated according to the microprogram request. According to the microprogram configuration plan, the matching microprogram is configured in combination with a microprogram controller. The method achieves the technical effect of significantly reducing manual intervention, reducing the probability of error, realizing efficient and flexible configuration of microprograms, and improving configuration efficiency and accuracy. The method solves the technical problem in the prior art that microprogram configuration relies on manual intervention, resulting in low configuration efficiency and accuracy, and insufficient flexibility. The method achieves the technical effect of significantly reducing manual intervention, reducing the probability of error, realizing efficient and flexible configuration of microprograms, and improving configuration efficiency and accuracy.

The invention relates to the technical field of communication security, and discloses an IRS-UAV information transmission concealment performance detection optimization method, which comprises the following steps: constructing a closed analytic model; based on a closed analytic model, a legal communication link is based on adjustment of the number of reflection units so as to maximize the detection error probability; based on the closed analytic model, the illegal communication link is based on the adjustment of the detection threshold to minimize the probability of detection error. According to the method and the device, the problem that the optimal detection performance cannot be kept in a changing environment due to fixed or independent optimization of parameters in the prior art is solved, so that the system can re-calculate the optimal parameter combination according to the real-time channel state, the global lowest point of the detection error probability in the current environment is locked, and the detection accuracy is improved. Therefore, the reliable detection capability and the robustness in a complex confrontation environment are obviously improved.

The present invention relates to the technical field of low-code development, and particularly relates to a code generation method for a low-code development platform. Based on the similarity between different statements, the present invention obtains the attention degree of each module and the high-similarity text segments; according to the relative distance between the word segments of the statements within the high-similarity text segments, a plurality of word segment clustering clusters are obtained; the similarity and sentiment features of the word segments of the statements between different word segment clustering clusters and the annotation fields of the modules are analyzed to obtain the overall sentiment intensity score of each module; furthermore, the error probability of each module is obtained, and the high-probability error modules are screened out; combining the similarity of the annotation fields between each high-probability error module and each other module, the substitution degree of each other module relative to each high-probability error module is obtained; and the modules of the low-code development platform are updated. The present invention updates the modules by accurately evaluating the error probability of the modules and analyzing the substitution degree of other modules, thereby improving the accuracy of code generation.

The present invention discloses a probabilistic jamming UAV-assisted wireless covert communication method and system, comprising the following steps: constructing a transmission model and a communication process of the communication system; obtaining a signal received by a UAV, a forwarded signal of the UAV, and a forwarding amplification factor according to the transmission model and the communication process; during the signal forwarding process, a detector determines whether the UAV has signal forwarding by analyzing the transmitted signal of the UAV; the detector performs a binary hypothesis test based on the received signal, and obtains Willie's two detection error probability expressions according to the Neyman-Pearson optimal decision rule; constructing an optimization problem based on the effective concealment rate that can be obtained by the destination node under the condition that concealment constraints are met, and solving the optimization problem to obtain the maximized concealment rate; designing a source node function so that it sends probabilistic interference to confuse the detector's detection, thereby assisting the transmission of secret information, improving system performance through concealment performance constraints, and maximizing the final concealment rate that can be obtained.

A communication method and a communication device based on LDPC codes, in the method, a device can perform encoding or decoding based on an LDPC check matrix, the LDPC check matrix is determined based on an LDPC basis matrix, the basis matrix comprises an extended check matrix, the extended check matrix is a lower triangular matrix with diagonal elements being 1, the extended check matrix comprises a plurality of lower triangular matrixes, and the lower triangular matrixes are arranged in the extended check matrix. The diagonal elements of each lower triangular matrix in the plurality of lower triangular matrixes are located on the diagonal of the expanded check matrix, the positions of the diagonal elements of the plurality of lower triangular matrixes are not overlapped, and the remaining elements in the expanded check matrix except the diagonal elements of the expanded matrix and the plurality of lower triangular matrixes are all 0 elements. According to the method, the column weight of the check area can be improved, the probability of error floor occurrence can be reduced, retransmission in some specific columns can be supported, and therefore the method can be compatible with an IR-HARQ scheme of LDPC codes of 5G.

The invention relates to a satellite navigation application terminal integrity evaluation method considering a non-Gaussian error. The method comprises the following steps: 1) determining an error source of a satellite navigation application terminal needing to be considered in a test environment and constructing an error model; 2) establishing a basic test scene of distance measurement error non-Gaussian distribution; 3) determining a fault mode occurrence probability and a fault mode which needs to be excited for integrity evaluation; 4) obtaining the corresponding fault mode occurrence probability of the integrity test sample under each risk source; 5) determining the worst fault and amplitude under the non-Gaussian distribution condition; (6) constructing an I / II type error probability evaluation model, and determining the minimum number of test samples needing to be collected and an evaluation test threshold; 7) randomly selecting a plurality of test sites, determining the number of test samples used by each test site, and injecting the worst fault and amplitude into the test samples; and 8) collecting a test sample generated by the satellite navigation application terminal, and evaluating whether the integrity risk of the test sample meets the expectation or not.

The application discloses a decision fusion method and system in a multi-listening scenario in covert communication and belongs to the technical field of wireless communication. The method comprises the following steps: configuring a limited total block length for each listening node, and dividing the total block length into a detection block length and a transmission block length; each listening node performs local signal sensing, generates a local decision result by using the detection block length, and sends the local decision result to a fusion center by using the transmission block length; the fusion center allocates an optimal fusion weight for each decision result based on the local detection performance and the transmission performance of each listening node according to the criterion of minimizing the global detection error probability; the fusion center calculates a weighted sum based on the fusion weight and the corresponding decision result, compares the weighted sum with an optimal decision threshold of the fusion center, and makes a global decision on whether the target signal exists. The application realizes the optimal performance of a whole link from sensing to fusion, and improves the reliability and accuracy of signal detection.

The application claims a kind of unmanned aerial vehicle assisted short packet covert communication method based on ground node cooperative interference, the theoretical lower bound of detection error probability is deduced, and then the exact robust concealment constraint condition is built.In terms of system optimization, the highly coupled non-convex objective problem is decomposed, and a joint optimization scheme of unmanned aerial vehicle transmission power, interference beam forming, multi-user scheduling decision and flight trajectory is designed to ensure the balance between covert communication and multi-user resource allocation fairness.Meanwhile, by integrating continuous convex approximation and semi-positive relaxation technology, combined with generalized Benders decomposition algorithm, effective decoupling of discrete decision variables and continuous physical variables is realized, and an alternating optimization solution strategy with strict theoretical convergence guarantee is proposed.Numerical simulation and theoretical analysis results show that the application significantly outperforms existing benchmark schemes in improving the average transmission rate of the worst user, with significant superiority.

The invention provides a cooperative interference probability optimization covert communication method driven by a diffusion model. The method comprises the following steps: constructing a covert communication system comprising a legal sending end, a legal receiving end, an eavesdropper and a friendly interference node, and setting a channel model and a signal transmission strategy of the covert communication system; the detection error probability of the eavesdropper is calculated; constructing an optimization problem by taking maximization of the safety energy efficiency of the covert communication system as a target; modeling the optimization problem into a double-layer Markov decision process, solving the double-layer Markov decision process through a hierarchical deep reinforcement learning algorithm based on diffusion model enhancement, and solving to obtain the maximum safety energy efficiency of the covert communication system. According to the method, the concealment, the transmission safety and the interference energy efficiency of the covert communication system can be comprehensively measured. According to the method, a layered deep reinforcement learning framework based on diffusion model enhancement is designed, the interference duration proportion and the interference power are optimized at the same time, and the concealment and the safety are improved in a more efficient mode.

The invention relates to an environment backscattering covert communication method and system assisted by an unmanned aerial vehicle. The method comprises the following steps: constructing a system model; the probability of error detection and missing detection is supervised and calculated by an eavesdropper, and the minimum detection error probability is deduced to evaluate the concealment of the system; the signal to interference plus noise ratio is calculated from the aspect of a receiving end, and an expression of an effective transmission rate is obtained to evaluate the covert communication rate; by jointly optimizing the hovering position of the unmanned aerial vehicle and the reflection coefficient of the ground reflection equipment, the constructed optimization problem of the maximum covert communication rate is solved in a mode of alternately optimizing sub-problems under the condition that the concealment constraint condition is met, and the maximum covert communication rate assisted by the unmanned aerial vehicle is achieved. According to the method, the security and privacy protection capability of the Internet of Things equipment are improved, the development of low-power-consumption Internet of Things application is promoted, and the method is suitable for low-power-consumption equipment deployed on a large scale and shows remarkable advantages in complex application scenes such as emergency response, smart cities and industrial automation.

The invention discloses a secure communication method based on STAR-RIS assistance in a communication-sensing integrated network. The method comprises the following steps: analyzing channel characteristics among a base station, an active reconfigurable intelligent surface, a user, a target, a plurality of guards and a fusion center; solving an optimal detection threshold value and a minimum detection error probability based on generalized likelihood ratio test and maximum likelihood estimation under the condition that a guarder knows the communication transmission power of the base station; solving the minimum security communication detection error probability of the fusion center under the hard decision fusion scheme and the soft decision fusion scheme based on the independent detection result of each guard; the transmitting beam forming vector of the base station, the active beam forming vector of the active reconfigurable smart surface and the number of continuous transmission time slots are jointly optimized to maximize the total secure transmission rate at the user and meet the perception performance and security performance constraints at the same time; according to the invention, the contradiction among the sensing performance, the safety performance and the safety transmission efficiency is balanced.

The invention discloses an anti-shielding covert communication beam forming design method based on multi-base-station cooperation, and belongs to the field of wireless communication information security. The implementation method comprises the following steps: weakening the detection capability of an eavesdropper by introducing an interference signal power randomization mechanism; joint probability distribution of aggregation interference signals of multiple base stations is deduced, the detection error probability of an eavesdropper is calculated according to the joint probability distribution, and quantifiable concealment constraint conditions are established; on the basis of an optimization theory, the beam forming scheme is modeled into a maximum and minimum fairness optimization problem, a target function of the beam forming scheme maximizes the transmission rate of the worst user under the condition that all potential shielding combinations are considered, and it is ensured that the minimum detection error probability of an eavesdropper is always higher than a set threshold value under all possible shielding combinations; for a non-convex optimization problem, a successive convex approximation SCA algorithm is designed to efficiently solve the anti-shielding covert communication beam forming design, the efficiency of the anti-shielding covert communication beam forming design is improved, and covert communication is realized according to a solving result.

The present disclosure relates to a 5th generation (5G) or pre-5G communication system for supporting a higher data transmission rate than a 4th generation (4G) communication system such as long-term evolution (LTE). Disclosed is a method performed by a terminal that may comprise: receiving configuration information for a CSI report from a base station; acquiring a channel quality indicator (CQI) table on the basis of the configuration information for the CSI report; and transmitting CSI including a CQI according to the CQI table to the base station, wherein the CQI table is configured on the basis of a first CQI table of a case where transport block error probability is 0.1 and a second CQI table for a case where transport block error probability is 0.00001. The method performed by the terminal may further comprise: receiving configuration information relating to a physical uplink shared channel (PUSCH) or a physical downlink shared channel (PDSCH) from the base station; identifying a modulation and coding scheme (MCS) table on the basis of the configuration information relating to the PUSCH or PDSCH; and acquiring a transport block size (TBS) on the basis of the MCS table, wherein the MCS table is configured on the basis of a first MCS table configured by default and a second MCS table configured for low spectral efficiency (SE) in the base station.

This application proposes a performance evaluation method for short packet coding communication, which belongs to the field of short packet communication technology. This method includes the following steps: constructing a system model for short packet coding communication, where the system model includes a ground base station, an unmanned aerial vehicle (UAV), a legitimate user terminal, and a non-target user terminal connected to the communication, and a reconfigurable intelligent surface is configured on the UAV; based on all channel state information of the system model, the system model is sequentially analyzed for average achievable confidentiality rate, average decoding error probability, and confidentiality interruption probability, and the performance evaluation of the system model is performed based on all analysis results. This application can improve the security and reliability of performance evaluation of short packet coding communication.