108 results about "Noma" patented technology

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 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 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 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 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 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 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.

The application discloses a maximum likelihood NOMA signal spectrum sensing method, a plurality of primary users utilize NOMA technology to jointly use a channel, when the number of primary users in the wireless channel is small, secondary users can also access the primary user channel, therefore, the secondary users need to detect not only the idle or busy state of the primary user channel, but also identify the number of primary users on the busy channel, when the primary user transmitting signal is a training sequence used for channel estimation, the transmitting signal constellation point is known, first, a joint probability density function is obtained according to the received signal of the secondary user as a likelihood function, an optimization problem is obtained, then, a global search algorithm is used to solve the optimization problem, an optimal value is obtained, compared with a decision threshold, the number of primary users on the channel is obtained; the method has the advantages that spectrum sensing can be performed under the condition of multiple primary users in the same channel, the number of primary users on the busy channel can be identified, and the optimal result can be obtained by sensing the signal received in only a single sensing duration.

A NOMA-VLC power allocation method based on a sparrow search algorithm is proposed. The method determines the relevant parameters of the transmitter and user's receiving power distribution (PD). A line-of-sight link is used as the simulated link type. A mathematical model is established to maximize system and rate based on user fairness, and the relevant parameters in the model are determined. An objective function and constraints are determined, and the logarithmic utility function is applied to the user's rate and summed to obtain the objective function. The objective function is used as the fitness function of the sparrow search algorithm, and the parameters of the sparrow search algorithm are determined. The optimal sparrow's position and fitness value are found through the sparrow search algorithm, thereby obtaining the optimal power allocation result and the maximum system and rate. The sparrow search algorithm proposed in this invention exhibits good performance in terms of search accuracy, convergence speed, and stability. It supports arbitrary scenario parameters, arbitrary transmitter / receiver parameters, and arbitrary number of users. The simulation results and analysis provide guidance for multi-user power allocation.

The invention discloses a high-robustness method for cooperative communication of unmanned aerial vehicles in a complex environment, which comprises a system consisting of a base station, a plurality of unmanned aerial vehicles loaded with reconfigurable intelligent surfaces (RIS) and a plurality of ground mobile users, the system adopts a non-orthogonal multiple access (NOMA) technology to realize user access, the ground mobile users are reasonably divided into a plurality of groups, and the groups of the ground mobile users are distributed on the base station. Each group of users is in charge of communication with the base station by a single unmanned aerial vehicle. Considering that an obstacle may exist between the base station and the ground user, the unmanned aerial vehicle optimizes a signal transmission path by deploying the RIS equipment, thereby effectively expanding the signal coverage range and improving the communication quality. The invention aims to provide robust service for communication of ground mobile users and maximize energy efficiency of unmanned aerial vehicle clusters. According to the method, the system capacity and the spectrum efficiency are remarkably enhanced, the problem that signal transmission is blocked in a complex environment is effectively solved, and the method is suitable for variable and complex communication scenes and shows wide application potential and prospects.

The invention relates to the technical field of wireless communication, and particularly discloses a multivariable joint optimization method in an RIS-assisted NOMA system. The method comprises the following steps: calculating theoretical propagation time delay of a reflection unit based on an incident angle, a reflection angle and a carrier frequency, and forming an accurate mapping relation with the carrier frequency; and selecting the result with the minimum difference value as the quantized actual time delay so as to realize the realizability of the continuous time delay. In a signal enhancement link, a maximum and minimum optimization model aiming at a reflection coefficient vector is established, and the performance of weak users in the system is ensured not to be limited by taking the minimum received signal strength maximization in all user signals as a target. And introducing a lower bound variable to adjust the constraint condition, and ensuring that the received signal strength of all users is not lower than the lower bound, thereby obtaining a global feasible solution. According to the method, joint optimization of the RIS time delay characteristic and NOMA signal distribution is achieved, the system capacity and the user fairness are both considered, and the method is suitable for design and deployment of a new generation of broadband wireless communication networks.

The invention relates to a cross-modal generation type satellite-to-ground network semantic communication method with an ultrahigh compression ratio. The method comprises the following steps: S1, establishing a generation type cross-modal satellite-to-ground network semantic communication system; s2, establishing a satellite-ground network semantic communication system model fused with the NOMA technology; s3, establishing a dynamic switching algorithm; and S4, establishing a dual-state satellite-ground link simulation model: comprehensively considering the influence of multipath, shadow and Doppler factors in satellite-ground communication, dividing a satellite-ground transmission link into a good state and a bad state, modeling channel characteristics by using Rician and Rayleigh distribution, and simulating Doppler frequency shift through Doppler phase rotation to complete satellite-ground channel modeling and simulation. According to the method, original image information is efficiently compressed into text semantic representation with a compact structure through a cross-modal semantic compression module in a single-user scene, an end-to-end generation model is adopted to guarantee high semantic consistency and robust reconstruction, large-scale data volume compression and low-delay semantic transmission, and the bandwidth burden of a satellite-ground network is effectively relieved.

The application provides an information acquisition and transmission method and device, a terminal and network equipment. The method comprises the following steps: determining a generation sequence of a first signal, wherein the generation sequence comprises a first sequence generated by a first waveform and / or a second sequence generated by a second waveform; receiving the second sequence and / or the first sequence in the first signal according to the generation sequence; and acquiring target information according to the second sequence and / or the first sequence, wherein the target information comprises at least one of the following: wake-up information, synchronization information and cell index information; wherein the first waveform comprises at least one of the following: an OOK waveform, an FSK waveform and a QPSK waveform; and the second waveform comprises at least one of the following: an OFDM waveform, a CDM waveform, a TDM waveform and a NOMA waveform. The above scheme can accurately acquire at least one of the wake-up information, the synchronization information and the cell index information, thereby ensuring the communication reliability.

Apparatus and methods are provided for multiple non-orthogonal multiple access (NOMA) layer each independently encoded with different configuration parameters, including MCS and NOMA spreading sequences. In one embodiment, the UE obtains NOMA configuration parameters for the DL data packets, decodes and reconnects multiple PDUs from the NOMA configuration parameters, and delivers decoded PDUs to upper layers of the UE. In one embodiment, the UE obtains the NOMA configuration parameters from a modified downlink control information (DCI). In another novel aspect, the base station partitions MBS data packets into multiple NOMA layers, encodes data packets for each NOMA layer with corresponding NOMA encoder, wherein each NOMA encoder is configured with independent NOMA configuration parameters, performs performing symbol alignment for encoded data packets from the multiple NOMA encoders, superimposes aligned data packets for the multiple MBS sessions into one RF channel to be transmitted to the UEs.

The invention discloses a transmission optimization method of an NOMA-assisted LEO satellite communication system, and relates to the technical field of satellite communication and wireless networks. Comprising the following steps: (1) constructing a satellite-ground integrated network transmission model, modeling distribution of ground users and low earth orbit satellites into a spherical Poisson point process, and realizing efficient access of nearest users and farthest users based on an NOMA technology; (2) proposing a three-dimensional to two-dimensional topological conversion method, defining a two-dimensional annular region through a density equivalent condition, and simplifying the system analysis complexity; (3) deriving a closed expression of a user association probability and a moment of a conditional success probability, and quantifying link reliability through Beta distribution approximation signal to interference plus noise ratio element distribution; and (4) the satellite orbit height, the satellite density and the power distribution factor are jointly optimized, and the user coverage probability is maximized. According to the method, the analysis complexity of a large-scale LEO system is remarkably reduced, the spectrum efficiency is improved through the NOMA technology, and the method is suitable for performance optimization of a 6G global satellite communication network.

The invention discloses a sum rate optimization method of an MA and RIS combined auxiliary NOMA uplink transmission system, which is suitable for an uplink transmission system consisting of a multi-antenna base station, an RIS and two communication users, and each communication user is provided with a single movable antenna. In order to effectively improve the transmission capability of the proposed system, the invention provides a sum rate optimization method of an MA and RIS combined auxiliary NOMA uplink transmission system. Specifically, the sum rate of the NOMA uplink transmission system is maximized by jointly optimizing a base station to receive a beam forming vector, an RIS phase shift matrix and an MA position. For the provided complex non-convex problem, a positive semidefinite relaxation algorithm is utilized to optimize receiving beam forming and an RIS phase shift matrix of a base station, a continuous convex approximation algorithm is utilized to optimize an MA position, and alternate iteration is carried out until a convergence condition is met. A simulation result shows that compared with a traditional fixed position antenna and RIS combined auxiliary NOMA uplink transmission scheme, the scheme provided by the invention remarkably improves the sum rate of an NOMA uplink transmission system.