178 results about "Noma" patented technology

The invention discloses a method for realizing data communication by a multi-band adaptive antenna based on 5G communication. The method comprises the steps of dynamic sensing and multi-mode signal fusion, multi-band intelligent analysis, hybrid beam forming and dynamic reconstruction, cross-layer parameter joint tuning, real-time monitoring and self-learning compensation, multi-band adaptive switching and fault diagnosis and error calculation. The problems that in traditional 5G communication, the antenna frequency band is fixed, the beam adjusting capacity is limited, the anti-interference performance is poor, and the communication performance is unstable in a complex environment are solved. According to the method, the channel state is accurately evaluated and predicted through fusion of the extended Kalman filtering algorithm and the convolutional neural network, and frequency band resources are intelligently allocated and optimized through the deep Q network DQN and the non-orthogonal multiple access NOMA principle, so that omnibearing optimization and management of the antenna are realized, the communication efficiency and stability are improved, and the method is suitable for large-scale popularization and application. And the efficient and stable operation of the communication system in various complex environments is ensured.

The invention relates to the technical field of wireless communication, and discloses an unloading method in an ultra-dense millimeter wave MEC network. Aiming at the problems of insufficient terminal capability, high energy consumption of an ultra-dense base station, millimeter wave coverage limitation, communication security risk and the like under the condition of sharp increase of a calculation-intensive task, the method comprises the following steps: firstly, obtaining network basic information, constructing a network architecture containing communication, calculation unloading and a security model, and establishing a multi-constraint optimization problem; based on the optimization problem, initializing a multi-strategy black-wing plinuary optimization algorithm population through logic mapping and elite selection; updating individual positions through global and local search in algorithm iteration, and screening historical optimal individuals; and finally, configuring and unloading resources according to the configuration. According to the method, the NOMA technology, a multi-step unloading framework and a hybrid communication mode are combined, the optimization efficiency is improved through a multi-strategy black-wing optimization algorithm, the local energy consumption is reduced, the communication rate is improved, the safety is guaranteed, the optimal scheme meeting time delay and safety constraints is rapidly converged, and the user experience is improved.

The invention discloses a secure communication method for eavesdropping a D2D relay NOMA network. The communication process has two time slots; in the first time slot, the information source equipment sends an NOMA signal, and the multi-antenna relay equipment selects one antenna to send an interference signal to resist eavesdropping attack; in the second time slot, the relay equipment adopts the digital network coding technology to mix the interference signal of the first time slot and the decoded information source message, then adopts the NOMA technology to construct a novel NOMA signal, and re-selects one antenna to send the NOMA signal, and meanwhile, the information source sends another interference signal to weaken the eavesdropper; the NOMA user equipment and the eavesdropper calculate a required signal-to-noise ratio and a required signal-to-interference-and-noise ratio, and calculate a system outage probability and an eavesdropping probability; according to the invention, the two NOMA users can realize physical layer security communication in the D2D network, and the security of the physical layer is far better than that of a security communication scheme based on non-cooperative interference and a traditional security communication scheme based on cooperative interference.

The invention relates to a dual dynamic optimization multi-user detection method based on SCMA in an uplink NOMA system, and belongs to the technical field of wireless communication. According to the method, the technical problems of insufficient multi-user interference suppression caused by codebook cross correlation enhancement in a high overload scene, poor convergence stability of a traditional detection algorithm and error code propagation caused by a hard decision mechanism are solved. The scheme of the invention comprises the following steps of: generating a dynamic codebook: constructing a low-mutual-interference codebook through resource load balancing and complex field amplitude phase joint optimization; dual confidence interference elimination: fusing user-level weight and symbol-level weight to dynamically adjust elimination intensity; according to the cross-layer iteration mechanism, soft information closed-loop feedback is achieved in combination with interference suppression merging equalization and hierarchical decoding; and dynamic damping updating: adaptively adjusting the soft information feedback intensity based on the signal-to-noise ratio to suppress oscillation. The method has the beneficial effects that the multi-user interference suppression capability is improved in a breakthrough manner, the interference elimination precision is revolutionarily optimized, and the system keeps ultrahigh reliability in a severe environment with a low signal-to-noise ratio.

The invention discloses an air-space-ground Internet of Things performance analysis method and system based on SWIPT and NOMA, and belongs to the technical field of air-space-ground integrated Internet of Things. Comprising the following steps: constructing an air-space-ground Internet of Things system model comprising an LEO satellite, an unmanned aerial vehicle relay and a ground user, and considering heterogeneous channel characteristics and node dynamics; deducing a closed-form solution of the outage probability of the system through joint transformation of a moment generation function and a characteristic function of a random variable; a high-order Taylor expansion and moment matching method is adopted to carry out approximation on the closed-form solution, a first-order approximate solution and a second-order approximate solution are obtained, and an upper bound of an approximate error is deduced. According to the method, the problem of accurate modeling of the outage probability under heterogeneous link coupling in the air-space-ground Internet of Things is solved, theoretical preciseness and engineering practicability are both achieved, and an effective tool is provided for network reliability analysis and optimization.

The present disclosure enables proper retransmission by a transmission station connected with a reception station through NOMA. The transmission control method of the present disclosure is a transmission control method for a plurality of transmission stations (2) of non-orthogonal multiple access with a reception station (1) as a wireless communication object, the plurality of transmission stations (2) being able to respectively retransmit to continuously transmit the same signal to the reception station at a common prescribed period and a prescribed number of times among the plurality of transmission stations (2). In this method, an information processing device (1b) calculates an initial value of transmission power respectively allocated to the plurality of transmission stations (2), the initial value of the transmission power being higher as reception quality at the reception station (1) is better and ensuring a power difference required among the transmission stations, and the information processing device (1b) calculates a retransmission number of a first transmission station to which the largest initial value of the transmission power is allocated among the plurality of transmission stations (2) based on an index value of the reception quality.

The application provides a flexible antenna assisted common sense fusion NOMA network resource scheduling method and device, including: exploring a flexible antenna assisted common sense fusion NOMA network architecture, considering the scenario of multiple pinching antennas on the same waveguide, users in the form of clustering non-orthogonal multiple access network, and comprehensively considering the communication and sensing demand, according to the wave leakage characteristics of the pinching antenna, the line-of-sight transmission link is reconstructed, the pinching antenna link channel model and the transmission signal model are established; a decision variable set is constructed; the user cluster communication data rate and the detection signal power of the sensing target are comprehensively analyzed, the regularization coefficient is introduced according to the channel model and the transmission signal model and the decision variable set, the regularization clustering user data rate and the sensing target detection power model are constructed, and the common sense performance optimization target is solved by using an artificial intelligence algorithm, and the optimal correlation and power allocation set is obtained. The application can perform resource scheduling on the common sense fusion NOMA network.

The application relates to the technical field of Internet of Things, and discloses a STAR-RIS assisted hybrid NOMA computing offloading method, which comprises the following steps: S1, before the start of the offloading process, a main base station collects and caches hyper-surface and auxiliary base station basic information in a network; S2, when a user needs to offload a task, the user first sends an offloading request to the main base station; S3, the main base station receives the user offloading requirement; S4, after the optimization of the offloading strategy is completed, the main base station can notify the user, the auxiliary base station and RIS to prepare for task offloading; and S5, after the hyper-surface and the auxiliary base station are configured, the main base station sends the strategy to the user. Compared with the traditional only-reflection RIS technology, the STAR-RIS technology can transmit the offloading task to both sides of the hyper-surface through reflection and refraction signals, the offloading range is expanded, and for the Internet of Things equipment, computing nodes can be selected for computing offloading in a wider communication range.

The present application relates to the technical field of wireless communication, and especially relates to a communication and rate optimization method and system of an ARIS assisted ISAC-NOMA system. Channel fading gains of a user terminal to an ARIS node and the ARIS node to a DFRC-BS node, a steering vector when the DFRC-BS node antenna array transmits a sensing signal, and a complex path loss coefficient of the sensing signal are acquired, the DFRC-BS node transmits the sensing signal, the user terminal transmits an uplink communication signal, and the DFRC-BS node simultaneously receives a sensing target echo signal and a communication signal; a successive interference cancellation technology is used for a communication and sensing mixed signal, a communication and rate and a sensing signal-to-noise ratio are calculated, an iterative solution optimization problem is solved by using an alternating optimization algorithm, and the maximum communication and rate of the system is obtained. The method of the present application can achieve a higher communication rate and better sensing performance than traditional methods in different scenarios, and has high practical application value.

The present application relates to a kind of RIS assisted NOMA-MEC network in the joint optimization method, system and program product of communication and computing resource allocation, it is decomposed into two nested solving sub-models, i.e. task offloading proportion and communication process joint optimization sub-model and reflection surface phase shift optimization sub-model.Model.For the former, it is proved by theoretical derivation that when reflection surface phase shift is given, optimal transmitting power can be expressed as the function of NOMA group transmission time and task offloading proportion, then the optimal task offloading proportion and optimal NOMA group transmission time are solved using Lagrange dual algorithm;For the latter, it is expressed as a deep reinforcement learning model, and PPO algorithm is used to solve it.In this way, the present application closely couples communication process and computing process, and improves the overall performance of NOMA-MEC network system.

The invention relates to a communication method and device based on the non-orthogonal multiple access technology and communication equipment, and the method comprises the steps: obtaining the current channel state information of a plurality of user terminals in an NOMA system, and then dynamically distributing corresponding target power for each user terminal according to the current channel state information of the plurality of user terminals, and finally, determining a plurality of user signals according to the target power of each user terminal and the modulation signal until the data transmission rate of the NOMA system is greater than a preset rate threshold value, and respectively sending the plurality of user signals to the plurality of user terminals through user equipment in the NOMA system so as to indicate each user terminal to communicate based on the corresponding user signal. In the method, the power is dynamically allocated to each user terminal according to the real-time channel state information, so that each user terminal can communicate based on the optimal signal power while the transmission performance of the NOMA system is ensured, and the communication efficiency of the NOMA system is further improved.

The invention provides an uplink MIMO-NOMA (Multiple Input Multiple Output-Non-Orthogonal Multiple Access) system optimization method with a maximized sum rate, which comprises the following steps: firstly, in order to suppress interference between a transmission cluster and a reflection cluster, providing an inter-cluster SIC method: clustering users according to transmission characteristics, adopting space division multiple access in each cluster, and performing inter-cluster SIC of NOMA transmission so as to reduce the interference between the clusters; secondly, a non-convex optimization problem aiming at maximizing the total rate of the system is formulated and solved by using an alternating optimization framework, in the framework, a receiving equalizer is optimized according to a minimum mean square error standard, and transmitting power control of a user is processed through successive convex approximation, so that sub-problems are easy to process; and finally, the beam forming of the active STAR-RIS adopts a sequential rotation design. According to the invention, the dual-fading effect is effectively overcome by adjusting the phase shift and amplitude of electromagnetic waves, an alternating optimization framework is also provided to solve the described non-convex problem, user power is controlled through continuous convex approximation, and active STAR-RIS beam forming is realized through sequential rotation.

This invention provides a UAV power emergency communication and resource collaborative scheduling system, relating to the field of wireless communication technology. Through system initialization, data acquisition and hierarchical coding, satellite-to-ground link establishment, NOMA access and scheduling modeling, resource collaborative configuration model establishment, joint optimization solution, online collaborative execution, and anomaly response, it achieves dynamic resource scheduling and optimization, offering advantages such as efficient collaborative resource scheduling, improved spectrum utilization, optimized energy use, guaranteed access to key nodes, and enhanced system reliability and response speed.

The present invention discloses a smart reflector-assisted NOMA uplink transmission method based on energy efficiency. The present invention first establishes an IRS-assisted NOMA uplink system; and designs a joint optimization problem of transmit power control at the user and phase shift matrix optimization at the IRS to maximize the energy efficiency of the uplink system; then the block coordinate descent method is used to decouple the optimization variables in the joint optimization problem, and each variable is optimized separately, that is, the joint optimization problem is divided into two sub-problems of user power control and IRS phase shift matrix optimization; finally, the above two sub-problems are solved in sequence until the accuracy difference of the solution reaches a preset accuracy or the number of iterations reaches a certain number. The present invention can maximize the number of data bits transmitted per hertz under unit energy and measure it by energy efficiency.

The invention relates to the cross technical field of wireless communication and intelligent agriculture, in particular to a NOMA-SIC uplink weighting and rate maximization method based on an unmanned aerial vehicle (RIS), and the method comprises the steps: constructing an uplink system composed of a fusion center, an unmanned aerial vehicle reconfigurable intelligent surface and a sensor node, and enabling the fusion center to employ a continuous interference elimination technology, and realizing multi-user concurrent transmission based on power domain multiplexing of non-orthogonal multiple access. According to the method, fractional programming, quadratic transformation and successive convex approximation technologies are jointly used, phase configuration of the RIS and sensor transmitting power are alternately optimized, beam forming vectors are received by a fusion center, and under the condition that the power, phase and service quality constraint conditions are met, the system weighting sum rate is maximized. The advantages of NOMA spectrum multiplexing and SIC interference elimination are brought into full play, the transmission reliability and the spectrum efficiency are remarkably improved, and the method is suitable for low-delay and high-reliability acquisition of intelligent agricultural large-scale sensor data and can be expanded to the scenes of industrial Internet of Things, emergency communication and the like.

The invention discloses a covert communication method based on a simultaneous transmission and reflection reconfigurable intelligent surface, and the method comprises the following steps: in a system, a base station sends an NOMA signal to a first communication user through a direct connection link and an ASTAR-RIS reflection link, and sends a signal to a second communication user through an ASTAR-RIS transmission link, the first communication user is used as an energy collection node to perform energy collection and signal decoding by using the SWIPT technology; and when the second communication user fails to decode successfully, the first communication user forwards a signal of the second communication user by using the collected energy, and the second communication user sends interference to the monitor at the same time to weaken the detection performance of the monitor. According to the method, ASTAR-RIS, NOMA and SWIPT technologies are combined, the communication spectrum efficiency and the energy utilization rate can be improved, meanwhile, the detection performance of a monitor is effectively reduced, and the reliability and the practical value of a covert communication system are improved.

The application relates to a resource allocation method for a full-duplex-non-orthogonal multiple access (NOMA) based symbiotic radio system under an alpha-fairness principle, and belongs to the field of Internet of Things. The method comprises the following steps: establishing a full-duplex-NOMA based symbiotic radio system, wherein full-duplex mode is adopted at both the transmitting end and the receiving end, and the residual self-interference problem caused by full-duplex is considered; combining non-linear energy collection and non-perfect channel state information conditions, and constructing a resource allocation model for maximizing the backscatter device (BD) throughput under the alpha-fairness framework; adopting a block coordinate descent method to convert the resource allocation model for maximizing the throughput into a convex optimization problem; solving the optimization problem by using a convex optimization toolbox to obtain the time slots between NOMA clusters, the reflection coefficient of the BD and the transmitting power of full-duplex, that is, to obtain a resource allocation scheme. In the application, the BD achievable throughput is obviously improved in terms of fairness, and even under the condition of strong residual self-interference, the throughput performance is still excellent.

The invention provides an optimal label selection scheme of a backscattering NOMA communication system in a multi-label environment. The system is composed of a base station BS, two users (UN and UF) and M backscattering labels Ti (i = 1, 2, 3,..., M). The multi-label environment backscattering technology is applied in the NOMA communication system, M labels are placed between the base station BS and the remote user UF, and the label with the optimal performance is selected for transmission by using the selection and combination technology, so that compared with single-label backscattering, the outage probability of the remote user is reduced, the system throughput is improved, and the communication efficiency is improved. And the transmission efficiency of the system is further improved.

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 invention discloses a performance analysis and linear compensation method, system and device for an ARIS-assisted NOMA system and a medium, and belongs to the technical field of wireless communication, and the method comprises the steps: building an ARISs-NOMA-HIS model with two receiving users, and carrying out the modeling of a transmission signal; the SINR condition of a receiving end user is analyzed, the allocated signal power is determined, and performance analysis of the ARISs-NOMA-HIS model is carried out; on the basis of performance analysis, linear compensation is provided, and the performance loss of the ARISs-NOMA-HIS model is compensated by adjusting an ARIS reflection element. According to the method, the system reliability is improved, the hardware damage resistance is enhanced, the communication rate and the spectrum efficiency are improved, and better multi-scene adaptability is realized.

The application discloses a beamforming method of an RIS-aided NOMA-ISAC system against internal and external eavesdropping, which optimizes the transmitting beam of the base station and the phase shift matrix of the RIS intelligently, ensures that the radar sensing requirement is met under the condition of limited energy resources, effectively resists potential internal and external eavesdropping attacks, and thus significantly improves the safe communication performance of the system legal users. Specifically, the method ingeniously uses the radar signal of the base station, performs the radar target sensing task while interfering potential eavesdroppers with the radar signal as artificial noise, and realizes the dual functions of target sensing and safe communication. However, since the optimization problem of minimizing the system legal signal power has non-convex constraints, it is difficult to solve directly, therefore the original problem is decomposed into three sub-problems, and then the semi-positive relaxation technology is used to convert the sub-problems into convex optimization problems, and finally the CVX toolbox is used for alternating optimization solution, which effectively reduces the complexity of the problem and improves the calculation efficiency.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate than a 4G system such as LTE. A method in which a base station transmits a signal by using a time offset in a time-asynchronous non-orthogonal multiple access (TA-NOMA) system, according to an embodiment of the present disclosure, comprises the steps of: checking a first bit stream for a first terminal, and a second bit stream for a second terminal; determining a time offset for the second terminal on the basis of the number of terminals operating in the TA-NOMA system and a pulse shape used in the TA-NOMA system; and transmitting a first signal corresponding to the first bit stream and a second signal corresponding to the second bit stream on resources that are allocated based on the time offset.

The invention discloses an unmanned aerial vehicle multi-input multi-output communication network hybrid optimization method, system and device and a medium, belongs to the technical field of unmanned aerial vehicle communication and resource management optimization, and provides a hybrid framework based on cluster reconstruction. The framework combines technologies of user grouping, non-orthogonal multiple access (NOMA), LED selection, power distribution and the like, and aims to improve the spectrum efficiency and the overall throughput of the system. Specifically, according to the scheme, users with similar channel conditions are divided into the same group by dynamically adjusting a user grouping strategy, and a traditional power allocation or NOMA technology is selected in the group according to a channel state. Besides, LED line selection is carried out through a branch and bound method, the complexity and energy consumption of the system are reduced, joint optimization is carried out in combination with an alternating direction multiplier method (ADMM), and the real-time performance and the anti-interference capability of the system in a multi-cell and multi-user environment are ensured.

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.

This invention discloses a hybrid power allocation method for an IRS-assisted VLC downlink NOMA system, belonging to the technical field of power allocation methods. Addressing the problems of easy occlusion of line-of-sight links, low efficiency of fixed power allocation, and high complexity of pure metaphysical heuristic algorithms in existing technologies, this invention jointly optimizes the reflection angle of intelligent reflective surfaces and the three-dimensional position of the UAV to construct a composite line-of-sight and non-line-of-sight communication link, enhancing anti-occlusion capabilities. Simultaneously, it proposes a modified fixed power allocation method, introducing a dynamic allocation factor based on user channel gain, achieving adaptive power allocation with the weakest user as the benchmark, improving fairness and efficiency. Furthermore, it integrates the modified fixed power allocation with the Ocean Predator algorithm to form a hybrid power allocation framework. This framework reduces the search space with low-complexity structured allocation, and then uses the Ocean Predator algorithm to globally and jointly optimize the UAV position, reflection angle, and dynamic allocation factor, balancing high system summation rate and fast convergence performance.

This invention discloses a secure communication method for eavesdropping on NOMA networks based on artificial noise. In the first time slot, the source user transmits a NOMA signal. The relay user selected according to the maximum-minimum relay selection scheme transmits artificial noise signals to interfere with the eavesdropping user while receiving the signal. In the second time slot, the selected relay user XORs the decoded signal with the artificial noise from the first time slot, reconstructs the signal, and transmits it. The source user also transmits artificial noise to interfere with the eavesdropping user. Each user calculates the required signal-to-noise ratio (SNR) or signal-to-interference-plus-noise ratio (SINR) and the corresponding interruption probability and eavesdropping probability. This invention combines artificial noise, relay cooperation, and one-time pad technology to construct a secure communication scheme. This scheme ensures that the eavesdropping user has only one chance to directly intercept the legitimate user's signal, while in traditional secure communication schemes, the eavesdropping user can directly obtain the source user's signal twice. Therefore, this invention effectively enhances the physical layer security of cooperative NOMA networks.

The invention discloses an RSMA wireless communication system secure transmission method based on STAR-RIS, and belongs to the technical field of wireless communication. Based on a related Rayleigh fading channel model, a cascade channel average gain from a base station to a user through STAR-RIS is firstly deduced, a simplified analysis method is provided, the average channel gain is directly used for deducing a closed expression of a system security outage probability (SOP), and the secure diversity gain characteristic of the system is further determined by analyzing the asymptotic SOP of a high signal-to-noise ratio area; the security performance of the method is obviously better than that of an STAR-RIS assisted NOMA scheme and an STAR-RIS assisted OMA scheme, and the flexible resource allocation mechanism of the method has more advantages in interference control and secure transmission guarantee; according to the method, the power distribution coefficients of the public information and the private information of the RSMA are optimally designed, the rate and power ratio of the two types of information streams can be dynamically and flexibly adjusted according to the actual situation, and the appropriate balance of the transmission security of the two types of information streams is realized.

The invention relates to the technical field of mobile edge computing, in particular to an active RIS auxiliary task unloading method based on hybrid TDMA-NOMA transmission, which comprises the following steps: randomly generating Q individuals to form an initial population; for each individual in the population, receiving a parameter combination represented by the individual through energy consumption calculation, and returning to the optimal resource allocation scheme obtained through calculation and the corresponding total energy consumption of the system under the combination; sequentially executing differential evolution operation on each individual of each generation; after generation evolution, finding out an individual with the minimum total energy consumption value; outputting the found optimal individual and the minimum total energy consumption value of the system corresponding to the optimal individual, and analyzing to obtain an optimal resource allocation scheme matched with the communication scheduling scheme; according to the method, the active reconstruction intelligent surface is deployed, so that the problem of system energy consumption minimization of task unloading in a visual-distance-free mobile edge computing environment is solved.

The application provides a PD-NOMA-based underwater acoustic distributed cooperative parallel transmission method, which comprises the following steps: each node stores a full-network topology structure; a receiving end sends an RTR packet, and adjusts a reservation time until there is no interference if there is an interference risk; after the transmitting end receives the RTR packet, it is judged whether there is a signaling demand; if yes, it is judged whether there is an interference risk; if there is no interference, signaling is sent, if there is interference, the signaling time is adjusted or the transmitting end enters an avoidance state, and an SNT packet is sent; a paired communication pair sends a DATA data packet according to a specified time, and a non-paired non-interference communication pair sends local data; if not paired, the transmitting end enters an avoidance state; after the receiving end receives the DATA packet, the paired communication pair decodes according to a decoding order by using SIC, the non-paired communication pair directly decodes, valid signals are extracted, and an ACK reply packet is sent. The application has the advantages that the task demand and the underwater acoustic channel characteristics are fully combined, and efficient scheduling and parallel transmission of the communication pair are realized.