314 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 a satellite-to-ground network adaptive image semantic communication method based on an NOMA technology, and the method comprises the following steps: S1, building a satellite-to-ground semantic communication frame integrated with the NOMA technology: carrying out the power superposition and serial interference elimination of different user transmission contents through the NOMA technology, a coding and decoding process is optimized through deep joint source channel coding based on hierarchical vision using a shift window; s2, establishing an adaptive semantic communication model: dynamically adjusting coding parameters based on a target bandwidth ratio and a signal-to-noise ratio of a satellite-ground channel; s3, proposing a dynamic weight adjustment algorithm: optimizing model convergence speed and transmission performance tradeoff under different channel conditions; and S4, designing a feature selection module: performing priority ranking on the image features, and selectively transmitting important features according to bandwidth resources. According to the method, the adaptive semantic communication model (ASeC-NOMA) which can be dynamically adjusted according to the target bandwidth ratio and the signal-to-noise ratio is constructed, and a large number of model storage parameters are saved while the transmission performance is ensured.

The invention provides an AmBC-NOMA communication resource joint optimization method for a high mobility V2X scene, and relates to the technical field of communication resource joint optimization. Aiming at channel dynamic change caused by high-speed motion of a vehicle and the influence of the channel dynamic change on short packet communication reliability and rate performance, the method combines reflection type communication and non-orthogonal multiple access technologies, and on the basis of fully considering channel time-varying characteristics, a reflection coefficient, a power distribution coefficient and block length resource distribution in a system are jointly optimized, so that the reliability and the rate performance of short packet communication are improved. Therefore, the communication rate performance and the resource utilization efficiency under the requirements of short time delay and low error rate are improved. Through the method, the short packet transmission rate of the system can be remarkably improved under the conditions of limited time delay and channel uncertainty, and the actual application requirements of the future Internet of Vehicles system for efficient, low-time-delay and high-reliability short packet communication are met.

The invention discloses an RIS division and resource optimization method for an RIS-assisted millimeter wave NOMA system. The method comprises the following steps: constructing a downlink millimeter wave NOMA multi-user system model; wherein the system model comprises a base station, an RIS and K terminal devices, and the K terminal devices are divided into I clusters; constructing an RIS model, a channel model and a transmission model according to the system model; determining an optimization problem according to the constructed model; and on the basis of the optimization problem, performing joint optimization on terminal equipment grouping, RIS division, active beam forming, passive beam forming and power distribution so as to maximize the total achievable rate of the terminal equipment in downlink transmission. The method overcomes the problems of limited transmission distance and signal shielding of millimeter wave communication, meets the large-scale connection requirement, improves the system performance, and can be widely applied to the technical field of wireless communication.

The invention discloses a joint detection method for a satellite-ground downlink NOMA (Non-Orthogonal Multiple Access) system, which is characterized by comprising the following steps of: S1, inserting pilot frequencies in a time-frequency grid through pilot frequency signals which are sparsely and uniformly arranged in a sub-channel of a transmitting end; s2, extracting a pilot signal at a receiving end, and performing channel estimation based on a deep residual convolutional network; s3, performing multi-user signal detection based on an iterative retraining method of a deep neural network; s4, optimizing power distribution within a power distribution factor threshold range based on a sparrow search algorithm, and minimizing a system bit error rate; s5, combining the step S2, the step S3 and the step S4 to form a joint detection model based on deep learning; through combination of deep learning and a sparrow search algorithm, the problems of channel estimation precision, signal detection capability, power distribution optimization and the like in the system are solved, the overall performance and reliability of the system are improved, and the method is suitable for large-scale user access and efficient data transmission requirements in a modern satellite communication system.

The wide application of the Internet of Things enables spectrum resources to be scarce, and the terminal equipment is urgent for the demand of energy and efficient communication. The invention designs a wireless energy transfer communication (SWIPT)-non-orthogonal multiple access (NOMA) system model based on downlink cooperation. The invention provides an energy efficiency maximization resource allocation algorithm based on cooperation SWIPTT-NOMA by considering a resource allocation problem under the constraints of throughput, energy collection and transmitting power of a user, so as to improve the energy efficiency of a system. Through a Dinkelbach method, variable replacement and an SCA method, a nonlinear non-convex optimization problem is converted into a convex optimization problem, and a globally optimal solution is solved by using a Lagrange duality theory. A simulation result shows that compared with an optimization scheme based on a fixed power allocation factor and a fixed time slot selection factor, the proposed strategy can improve the system energy efficiency on the premise of ensuring the user throughput, and a more efficient resource allocation scheme is provided for a wireless energy supply network.

The invention relates to the technical field of intelligent power grids, in particular to an inspection vehicle tracking and communication optimization method and system, and the method comprises the steps: constructing an RIS-ISAC-NOMA system framework oriented to an intelligent power grid application scene, converting a non-line-of-sight NLOS path into an equivalent virtual line-of-sight LOS path through a reconfigurable intelligent metasurface RIS in a non-line-of-sight NLOS scene, and carrying out the tracking and communication optimization of an inspection vehicle through the virtual line-of-sight LOS path. A propagation path of an ISAC signal is adjusted in real time, and a vehicle tracking and predicting method based on an EKF algorithm is designed, so that efficient vehicle real-time sensing and communication are realized; a multi-inspection vehicle power distribution optimization scheme is provided in combination with the NOMA technology, the communication rate and the resource utilization efficiency of the system are further improved, meanwhile, the simulation result also verifies the advantages of the proposed system in the aspects of communication performance and resource utilization, and the overall efficiency of the system can be remarkably improved while the pilot signal overhead is reduced.

The present invention relates to the technical field of wireless communications, and particularly relates to an intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA) network transmission method based on hardware damage. The method comprises: building an IRS-assisted NOMA network system; building a base station transmission power minimization model on the basis of a user quality of service constraint, a successive interference cancellation constraint and a reflection phase shift constraint; solving the base station transmission power minimization model to obtain an optimal transmission solution; and the system performing transmission on the basis of the optimal transmission solution. An optimal transmission power result for multiple users under the NOMA technology and with the assistance of the IRS can be reflected, enhancing the robustness of the system.

The invention relates to the technical field of wireless communication, in particular to a communication and rate optimization method and system of an ARIS-assisted ISAC-NOMA system. Channel fading gains from a user terminal to an ARIS node and from the ARIS node to a DFRC-BS node, a steering vector when a DFRC-BS node antenna array sends a sensing signal and a complex path loss coefficient of the sensing signal are obtained, the DFRC-BS node sends the sensing signal, the user terminal sends an uplink communication signal, and the DFRC-BS node receives a sensing target echo signal and a communication signal at the same time; a continuous interference elimination technology is adopted for the communication sensing mixed signals, and the communication sum rate and the sensing signal-to-noise ratio are calculated; and iteratively solving an optimization problem by using an alternating optimization algorithm to obtain the maximum communication and rate of the system. Compared with the traditional method, the method provided by the invention can realize higher communication rate and better sensing performance in different scenes, and has higher practical application value.

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 security beam forming method with integration of multicast and unicast communication perception assisted by NOMA, and the method comprises the steps: a base station sends a multicast and unicast mixed signal to a communication user and a radar user, a potential eavesdropper eavesdrops the unicast signal, and the base station carries out the perception of the radar user and a target through the sent mixed signal, after the mixed signal is reflected by a radar user and a target, the base station receives a radar echo signal, and a communication user decodes a multicast signal by using NOMA (Non-Orthogonal Multiple Access) and eliminates interference of the multicast signal on a unicast signal by using an interference elimination technology of the NOMA; establishing a power minimization optimization problem under the conditions that the communication performance of a user and the perception performance of a radar user and a target are met and the unicast eavesdropping performance is inhibited; for the problem, discrete relaxation is carried out on an existing area of the target, an S-lemma is used for substituting channel estimation errors, the problem is converted into a convex optimization problem through SDR, and then a convex optimization solver is used for obtaining multicast and unicast beams; the method has the advantages of low power consumption and good robustness.

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 a mode selection and transceiver design method of a non-orthogonal multiple access (NOMA) auxiliary sensing and communication integration (ISAC) in a network auxiliary full-duplex cellular-free large-scale multiple-input multiple-output (MIMO) system, and relates to a mode selection and transceiver design method of a non-orthogonal multiple access (NOMA) auxiliary sensing and communication integration (ISAC) system of a network auxiliary full-duplex cellular-free large-scale multiple-input multiple-output (MIMO) system, and the mode selection and transceiver design method of the non-orthogonal multiple access (NOMA) auxiliary sensing and communication integration (ISAC) system of the network auxiliary full-duplex cellular-free MIMO system of the network auxiliary full-duplex cellular-free MIMO system of the network auxiliary full-duplex cellular-free MIMO system of the network auxiliary full-duplex cellular-free MIMO system. Comprising the following steps of: converting a joint mode selection and transceiver design problem of NOMA-ISAC in a cellular-free large-scale MIMO system into an optimization problem of maximizing a signal-to-interference-noise ratio (SINR) of a radar, and decomposing the optimization problem into two sub-problems, and respectively adopting a simulated annealing algorithm and a continuous convex approximation algorithm to obtain the optimal working mode, precoding vector and uplink power. Simulation results show that the sensing performance of the system can be effectively improved under the condition that rate constraints of communication users are met.

The invention provides a physical layer secure antenna selection method based on an MIMO-NOMA system, and relates to the technical field of information security. According to the method, a downlink MIMO-NOMA communication system is established, two kinds of safety antenna selection strategies are designed, the received signal power of legal users is maximized, and the signal power of eavesdropping user receivers is minimized; and the unmanned aerial vehicle transmits the superposed signal, the user receives the signal and decodes the received signal, then the traversal rate of the legal user is solved, and the probability of successfully decoding the transmission information is reduced for the potential eavesdropping user. According to the method, the antenna selection strategy is optimized, the received signal power between the source node and the legal user is maximized, the probability that the eavesdropping user successfully decodes the legal signal is reduced, and the secrecy performance of the system can be improved while the service quality of the legal user is ensured.

The invention relates to the technical field of wireless communication security, in particular to a millimeter wave PD-NOMA-based communication optimization method and related equipment, and an active RIS-assisted millimeter wave PD-NOMA system model, which comprise a base station, an active RIS and three types of users: an untrusted user (internal eavesdropper), a secure user and an external eavesdropper. The system establishes a direct channel from a base station to a user and an indirect channel reflected by the RIS, obtains a user signal transmission rate by decoding a transmission signal, and calculates an internal eavesdropping rate and an external eavesdropping rate. And with maximization of the security user secrecy rate as a target, an active RIS reflection coefficient matrix and PD-NOMA power distribution are jointly optimized, a target function is constructed, and optimal parameters are solved. The parameters are applied to a system model, a secure transmission mechanism is constructed by dynamically regulating and controlling RIS beam forming and power distribution strategies, internal and external eavesdropping is effectively inhibited, and millimeter wave frequency band communication security and spectrum efficiency are improved.

The invention discloses a self-adaptive authentication method for a space-air-ground cooperative NOMA communication system, which introduces a self-adaptive access authentication mechanism based on an NTRU encryption algorithm, designs a dual-security mechanism for trusted and untrusted NOMA relays, ensures data security through authentication and key exchange in a trusted mode, and improves the security of the communication system. And in an untrusted mode, data tampering and stealing are prevented through a temporary session key and a message authentication code, and flexible application guarantee is provided. Meanwhile, in combination with a certification authority (CA) and a digital certificate technology, it is ensured that the public key is not tampered in the transmission process, man-in-the-middle attack is avoided, and the reliability of communication node identity authentication is further improved.

The invention discloses a resource optimization system and method for a distributed RIS-assisted millimeter wave communication system, and belongs to the technical field of wireless communication. The system comprises a base station which is provided with MBS antennas to form a uniform linear array and is connected with NRF radio frequency chains; each radio frequency chain is connected with MBS antennas through MBS phase shifters in a full connection mode; the plurality of distributed RISs are used for assisting the terminal equipment to carry out millimeter wave communication in downlink transmission; the plurality of terminal devices are divided into a plurality of NOMA groups, and each NOMA group is provided with a transmission service by a corresponding RIS; wherein joint optimization is carried out on pairing of the RIS and the equipment, RIS phase shift optimization, digital precoding design and base station sending power distribution, so that the total achievable throughput of a communication system in downlink transmission is maximized. The method can solve the problem that millimeter wave signals are easy to block, improves the utilization rate of spectrum resources, and can effectively improve the total throughput of a system.

The invention provides a user clustering algorithm based on cluster head selection and channel characteristics, which is suitable for a non-orthogonal multiple access (Non-Orthogonal Multiple Access, NOMA) system of a large-scale multiple input multiple output (MIMO) without a cellular, and is characterized in that the user clustering algorithm based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics. The method comprises the following three main steps of: firstly, preferentially selecting a user with an optimal access point channel condition from users as a cluster head user; secondly, a clustering evaluation index is constructed based on the channel gain difference and the channel correlation, and the clustering evaluation index is used for dynamically quantifying the matching degree between users; and finally, according to the evaluation indexes, gradually distributing the remaining users to the cluster where the corresponding cluster head user is located, and forming a final clustering scheme. According to the method, good balance between clustering performance and complexity is achieved, compared with a traditional statistical theory clustering algorithm, the calculation complexity is reduced by 47.5%, meanwhile, clustering fairness, anti-interference capacity and spectrum efficiency are remarkably improved, and the method is suitable for dynamic clustering and resource optimization distribution of a high-density user access scene.

The invention discloses an optimization method of active STAR-RIS auxiliary NOMA (Non-Orthogonal Multiple Access) secure communication transmission. The method comprises the following steps: S1, constructing an active STAR-RIS auxiliary uplink NOMA secure wireless communication system; and S2, the link of the user 1-BS and the link of the user 2-BS are blocked due to obstacles or a long distance, and the legal user transmits information to the base station of the receiving end through STAR-RIS. S3, in order to improve the safety of the system, the base station sends the useful signal and the artificial interference noise at the same time; under the scene that the total emission energy of a base station is limited, an optimization equation which is based on beam forming, artificial noise and IRS phase shift parameters and is used for maximizing the system safety rate sum of optimization parameters is constructed. And performing decoupling optimization solution on active beam forming, artificial noise and IRS phase shift parameters of the base station based on an alternating optimization algorithm. According to the invention, the total safety rate of the system can be obviously improved.

The invention provides a wireless power supply mobile edge computing (WPT)-MEC (wireless power supply mobile edge computing) optimization algorithm assisted by a user cooperation (UC) and a non-orthogonal multiple access technology (NOMA) in a non-linear energy harvesting (EH) mode, the transmission power, the user unloading time and the user unloading power among different energy beams of the HAP are jointly optimized, the energy and the computing resources are fully utilized, the energy utilization rate of the HAP is improved, and the energy utilization rate of the HAP is improved. According to the method, the system weight sum calculation rate (WSCR) is maximized, and the system weight sum calculation rate (WSCR) is maximized. The model is non-convex, so that a formulation problem is difficult to solve. In order to solve the problem, an iterative optimization algorithm based on successive convex approximation (SCA) is provided, firstly, a variable substitution method is utilized to re-express a non-convex optimization problem, the non-convex optimization problem is converted into a form which is easier to process, and then the SCA is utilized to solve the non-convex optimization problem. A numerical result shows that compared with a reference scheme, the scheme provided by the invention can generate better system performance.

The invention belongs to the technical field of wireless communication, and particularly relates to an IRS-assisted multi-unmanned aerial vehicle NOMA communication system rate optimization method, which comprises the following steps: step 1, constructing an IRS-assisted multi-unmanned aerial vehicle NOMA communication system rate optimization model; 2, initializing an unmanned aerial vehicle position Q, an SIC decoding sequence A, an IRS reflection matrix theta, an unmanned aerial vehicle transmitting power P and a judgment threshold value epsilon; according to the method, under the constraint conditions of the SIC decoding sequence, the two-dimensional position of the UAV, the IRS reflection matrix and the UAV transmitting power, the four variables are jointly optimized, and the sum rate of the IRS-assisted UAV communication system is optimized; binary variables are introduced to participate in channel state sorting, different from a traditional channel condition sorting method, the method adopts a block coordinate descent method, a continuous convex approximation (SCA) method and a penalty-based method to approach a globally optimal solution, and compared with other resource allocation schemes of a network without IRS assistance, the method provided by the invention has the advantages that the system rate is increased, and the system performance is improved. And the method has better practicability and feasibility.

An IRS-NOMA system security resource optimization method, system and device based on a graph neural network, and a medium, the method comprising: a base station first sends a signal to be transmitted, the signal is received by a legal user through a direct link and an indirect link, and the transmission rate of the legal user signal is calculated; the method comprises the steps that firstly, an IRS-assisted NOMA system is established, then the eavesdropping rate of an external eavesdropper or an internal eavesdropper in the IRS-assisted NOMA system for eavesdropping and receiving signals is calculated, then the communication process is analyzed and deduced to obtain a secrecy rate formula, an optimization objective function of the IRS-assisted NOMA system is determined, and finally performance optimization is conducted on the optimization objective function through a neural network. An optimization result is obtained; systems, devices, and media for implementing the methods thereof; the method has the advantages of being low in communication cost, low in design complexity, comprehensive in design, simple and easy to optimize, high in optimization efficiency, high in optimization adaptability and flexibility and high in secrecy rate.

The invention discloses a time-frequency domain joint channel equalization method for a single-carrier NOMA (Non-Orthogonal Multiple Access) system, and solves the problems that a single carrier is poor in frequency selective fading resistance and is not matched with NOMA power multiplexing signals in the prior art. The method comprises the following steps of: at a receiving end of a single-carrier NOMA system, converting a received signal of each frame into a frequency domain by using FFT (Fast Fourier Transform), and carrying out data separation to obtain a section of unique word sequence and an effective data sequence; estimating channel state information in a frequency domain by utilizing prior information and a section of unique word sequence to obtain a channel estimation result corresponding to each symbol, and performing minimum mean square error frequency domain equalization on a section of effective data sequence according to the result to obtain a corresponding frequency domain signal; performing fine adjustment on the corresponding frequency domain signal in the time domain by using a time domain soft decision equalization algorithm of the power distribution factor to obtain an equalized time domain signal; according to the method, more accurate channel compensation is realized, and the decoding performance and the anti-interference capability of the system are improved.

The invention discloses a time delay optimization method for an MEC system of STAR-RIS assisted uplink NOMA, which relates to the technical field of wireless communication, and comprises the following steps: acquiring channel state information among nodes of the MEC system of STAR-RIS assisted uplink NOMA; the user offloads a task to the base station equipped with the MEC server, and the channel transmission rate between the user and the base station is calculated; calculating local time delay and edge time delay of the user; constructing a time delay minimization problem of joint optimization of user task allocation, user transmitting power, MEC calculation frequency allocation, base station receiving beam forming vector and STAR-RIS coefficient vector; an optimization problem is decomposed into four sub-problems, and the minimum user weighted time delay sum in the system is obtained through iterative solution of an SCA algorithm and an AO algorithm. According to the scheme provided by the invention, the user weighted time delay sum of the system is remarkably reduced.

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 invention belongs to the technical field of wireless communication, and particularly relates to an electric energy quality real-time monitoring method, system and equipment based on NOMA (Non-Orthogonal Multiple Access). The real-time monitoring method comprises the following steps: firstly, constructing to obtain a distribution power optimization problem of an electric energy quality monitoring system by taking minimization of an overall error probability as a target; the optimization variable of the distribution power optimization problem is the transmitting power of each electric energy quality monitoring terminal device, then a non-convex term in the distribution power optimization problem is converted into a convex term by adopting continuous convex approximation, and the distribution power optimization problem is solved through iteration to obtain a transmitting power distribution optimization scheme; and finally, controlling the electric energy quality monitoring system to carry out electric energy quality monitoring based on the transmitting power distribution optimization scheme. According to the method, the overall error probability can be reduced by optimizing a terminal equipment transmitting power distribution scheme, so that high communication reliability in a multi-terminal equipment scene is ensured.

The invention discloses a beam forming method of an RIS-assisted NOMA-ISAC system for preventing internal and external eavesdropping, which ensures that radar sensing requirements are met under the condition of limited energy resources by intelligently optimizing transmitting beams of a base station and a phase shift matrix of an RIS, effectively resists attacks of potential internal and external eavesdroppers, and improves the reliability of the system. Therefore, the security communication performance of legal users of the system is obviously improved. Specifically, according to the method, radar signals of a base station are ingeniously utilized, while a radar target sensing task is executed, the radar signals serve as artificial noise to interfere with potential eavesdroppers, and the dual functions of target sensing and safe communication are achieved. However, the optimization problem of minimizing the legal signal power of the system has non-convex constraint and is difficult to directly solve, so that the original problem is decomposed into three sub-problems, the sub-problems are converted into a convex optimization problem by using a positive semi-definite relaxation technology, and finally alternate optimization solution is performed through a CVX toolbox. According to the strategy, the complexity of the problem is effectively reduced, and the calculation efficiency is improved.

The invention relates to the technical field of wireless communication, and provides a high-energy-efficiency wireless transmission method of a cellular communication system based on an intelligent reflecting surface, which comprises the following steps: constructing a downlink transmission system of an intelligent reflecting surface assisted multi-user NOMA (Non-Orthogonal Multiple Access); constructing an energy efficiency optimization model; moving the fixed intelligent reflecting surface, solving the maximum system energy efficiency according to the signal to interference plus noise ratio constraint of the user and the maximum transmitting power constraint of the base station, and obtaining the optimal transmitting beam of the base station; the base station is fixed to transmit wave beams, the total power consumption of the system is a fixed value, the maximum system sum rate is solved according to the signal to interference plus noise ratio constraint, the intelligent reflector shift constraint and the SIC decoding sequence constraint of the user, and the optimal intelligent reflector shift is obtained; and alternately solving the optimal base station transmitting beam and the optimal intelligent reflecting surface shift to obtain the maximum energy efficiency of the system. According to the method, an original non-convex optimization problem is converted into a convex optimization problem, the solving complexity is reduced, the increasing user requirements are met, and better communication experience is provided.

The invention discloses a full-duplex cooperative NOMA integrated sensing communication system based on RIS and an optimization method, and relates to the technical field of wireless communication. The problem that an existing RIS-combined sensing communication system is not combined with a full duplex cooperation mechanism is solved, and meanwhile, a base station beam forming matrix, a power distribution factor and an RIS phase shift matrix are jointly optimized so as to solve the problems that in the RIS-combined sensing communication system, interference among users is large, the remote user communication quality is poor and the resource distribution efficiency is low. The communication performance of the user is improved through the help of the RIS and the optimization of the algorithm; through algorithm optimization, the beam forming gain is enhanced, and the target detection precision is improved; through integration of communication and perception, the cost of hardware is reduced; the communication quality of the remote users is guaranteed through the cooperation of decoding retransmission of the near users and the RIS; and through reasonable distribution of resources, the energy efficiency is greatly improved.