426 results about "Non orthogonal" 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 discloses a resource optimization distribution system and method of a wireless energy transfer communication perception integrated network, and belongs to the technical field of wireless communication. The system comprises an intelligent metasurface RIS which is arranged between a base station and a terminal device; the base station is used for radar sensing of a plurality of device targets during a downlink period and wireless power transmission of a plurality of terminal devices with the assistance of the RIS; the plurality of terminal devices are used for transmitting data back to the base station by using the collected energy through a non-orthogonal multiple access strategy in an uplink; wherein joint optimization is carried out on an energy beam forming matrix, a radar beam forming matrix, RIS phase shift matrixes in a downlink and an uplink and transmission time slot distribution, so that the total achievable throughput of equipment in uplink transmission is maximized. According to the ISAC system based on the WPCN under the assistance of the RIS, a new solution is provided for wireless network construction, and the achievable throughput of the system can be effectively improved.

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 relates to the technical field of microwave communication, and discloses a microwave communication data transmission method, which comprises the following steps: S1, sensing real-time rainfall intensity and atmospheric turbulence intensity parameters through combination of a multi-band radar and a meteorological sensor; s2, establishing a fractional order random channel model of a rainfall and turbulence coupling effect; s3, generating a dynamic coded modulation control strategy based on deep fractional order reinforcement learning; s4, optimizing a programmable metasurface reflection coefficient matrix according to the dynamic coded modulation control strategy and a channel state to reconstruct an electromagnetic propagation path; s5, executing power-codebook joint optimization of space-time coding and non-orthogonal multiple access; and S6, the system stability is monitored on line, and a degradation fault-tolerant mechanism is triggered. According to the invention, a Ku / W dual-band radar and meteorological sensor variational Kalman fusion technical scheme is adopted, and compared with a single-band radar or sparse meteorological station isolated observation scheme in the prior art, the problem of signal sudden drop misjudgment in a rainstorm scene is solved.

The invention provides an anti-interference sound signal data extraction method based on energy data perception, and belongs to the technical field of underwater sound signal processing, and the method comprises the steps: carrying out the A / D sampling and digital orthogonal demodulation of a received sound signal, and obtaining a baseband signal; performing low-pass filtering and downsampling on the baseband signal to obtain a preprocessed signal; performing matched filtering on the pre-processed signal by using a reference signal; the key improvement lies in that a local energy estimation function of a preprocessed signal is calculated, and normalization processing is carried out on a matched filtering result and the energy estimation function to obtain a normalized detection signal. The method effectively suppresses the shielding effect of a strong interference signal on a weak target signal under a non-orthogonal reference signal and a strong near-end and weak far-end scene, remarkably reduces the misrecognition probability, and improves the accuracy and reliability of the extraction of a long-distance and low-signal-to-noise-ratio target beacon signal in a complex underwater acoustic environment. The method is suitable for underwater navigation, positioning and communication systems.

The invention relates to an unmanned aerial vehicle cluster autonomous crossing method and system. The method comprises the following steps: expanding channel capacity, carrying out time delay analysis, and introducing a non-orthogonal multiple access technology to carry out interference management and resource allocation so as to complete network deployment; establishing a linear state space model of a multi-unmanned aerial vehicle system for the unmanned aerial vehicle cluster, setting a cooperative control strategy and an obstacle avoidance strategy, and performing model performance analysis; acquiring environment information through each sensor arranged on each unmanned aerial vehicle in the unmanned aerial vehicle cluster to obtain an environment state; an artificial potential field method is adopted to complete a dynamic obstacle avoidance algorithm according to environment state design, and the path of the unmanned aerial vehicle is adjusted in real time according to the dynamic obstacle avoidance algorithm; establishing an unmanned aerial vehicle kinematic model, designing an optimization algorithm of path planning based on the unmanned aerial vehicle kinematic model, and performing real-time dynamic path adjustment according to the optimization algorithm; setting a security and fault-tolerant mechanism; and autonomous crossing of the unmanned aerial vehicle cluster is realized. And the high-efficiency collaboration and stability of the unmanned aerial vehicle cluster are improved.

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 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 discloses a resource allocation method and system for a non-cellular large-scale system, and a storage medium. The method comprises the following steps: constructing a non-orthogonal multiple access-based non-cellular large-scale MIMO system model; determining a downlink data transmission rate model of the cellular-free large-scale MIMO-NOMA system; determining an optimization problem model based on the downlink data transmission rate model, wherein the objective of the optimization problem model is to maximize the rate of the cellular-free large-scale MIMO-NOMA system; based on the optimization problem model, obtaining a layered depth deterministic strategy gradient framework; according to a hierarchical depth deterministic strategy gradient framework, the networks are iteratively and mutually updated to obtain an optimal strategy; and carrying out resource allocation on the non-cellular large-scale MIMO-NOMA system based on the optimal strategy. By adopting the technical scheme provided by the invention, joint optimization is carried out on user pairing and power distribution in the cellular-free large-scale MIMO-NOMA system.

The present disclosure discloses a method and a device in a User Equipment (UE) and a base station for wireless communication. The UE receives a first signaling, the first signaling being used to determine a first time-frequency resource; receives a second signaling, the second signaling being used to determine a second time-frequency resource; and transmits a first bit block in the first time-frequency resource, or, transmits a first bit block in the second time-frequency resource. Time domain resource occupied by the first time-frequency resource and time domain resource occupied by the second time-frequency resource are non-orthogonal; the first signaling carries a first identifier or a second identifier; whether the first signaling carries the first identifier or the second identifier is used to determine whether the first bit block is transmitted in the first time-frequency resource or transmitted in the second time-frequency resource.

The invention discloses a broadband full-Stokes polarization imaging device based on non-orthogonal four-channel polarization beam splitting, which comprises a dielectric substrate, a non-orthogonal polarization beam splitting metasurface and a focal plane detection array, and is characterized in that the non-orthogonal polarization beam splitting metasurface is composed of a plurality of sub-wavelength unit structures; the sub-wavelength unit structure is a single-layer anisotropic medium nano-column array and is configured to perform intrinsic-loss-free non-orthogonal four-channel beam splitting on incident light and form four spatially separated focuses on the same focal plane, and polarization states corresponding to the four channels form a regular tetrahedron measurement base on a Poincare sphere; therefore, full Stokes parameter measurement is completed by four pixels; the sub-wavelength unit structure forms a super-pixel unit, and the super-pixel unit is aligned and integrated with a focal plane detection array in a two-dimensional array form to form a compact polarization camera facing focal plane segmentation. The device is simple in structure, easy to integrate with the CMOS front end, small in device size, low in power consumption and high in mass production feasibility.

Apparatuses, methods, and systems are disclosed for determining a precoder for wireless communications. An apparatus is configured to determine a precoder for a set of modulation symbols representing at least two distinct multiplexed streams of information. The precoder includes a plurality of codewords and is configured to reduce an ensemble interference and a pairwise interference for the plurality of codewords. The apparatus is configured to precode the set of modulation symbols based on the precoder and map the precoded set of modulation symbols to a set of resources. The apparatus is configured to generate a non-orthogonal multiplexed channel for access to the resources by overloading the set of modulation symbols at a transmission rate that is greater than a Nyquist rate and transmit an indication of the precoder and the set of resources.

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 Max plug-in assisted video data transmission method and system, and relates to the technical field of video transmission optimizing.The method comprises the steps that a monitoring video stream is analyzed through a Max plug-in, and video content information containing a plurality of semantic areas, associated position identifiers and importance parameters is obtained; generating multiple paths of coding code streams by using different coding strategies according to the importance parameters, and obtaining a composite code stream through bit field non-orthogonal multiplexing; transmission resources and coding parameters are dynamically adjusted in combination with real-time network states and importance parameters during transmission; and a receiving end decodes and recovers the video data through sequential interference elimination, and finally, the Max plug-in drives the digital twinning scene to realize differentiated three-dimensional rendering presentation according to the recovered data and the associated position identifier and importance parameter, so that efficient transmission of the monitoring video data and differentiated three-dimensional rendering presentation of the digital twinning scene can be realized.

The invention provides a novel hybrid carrier multiple access scheme. According to the scheme provided by the invention, the energy propagation concept of the hybrid carrier is combined with a frequency division multiple access model, and a specific operation method and a processing flow of the hybrid carrier processing and the multiple access processing of the power signal in the sending and receiving processes are provided; and the requirements of signal anti-interference capability, transmission efficiency and multi-user and multi-time-space under an ad hoc network of a power wireless private network are met, and the method is called as hybrid carrier non-orthogonal multiple access (HC-OFDMA). Due to the fact that the energy dispersion capacity is enhanced, a plurality of users can share the same spectrum resource at the same time through non-orthogonal distribution of a power domain, the spectrum utilization rate can be remarkably improved, power distribution can be dynamically adjusted, transmission is optimized according to channel conditions of the users, more users are supported to access at the same time, the system capacity is improved, and the system performance is improved. The method is especially suitable for high-density users and large-scale Internet of Things scenes.

The invention relates to a wireless keyboard pairing switching method and device based on a polar code, and the method comprises the steps: carrying out the channel estimation of each device connected with a wireless keyboard, and obtaining the channel gain of each device; based on the channel gain of each device, performing power distribution on each device in a preset power spectrum pair through non-orthogonal multiple access; coding the sending signal of each device through a polar code, and carrying out joint decoding on the received signals of the plurality of devices; in response to an equipment switching request of a user, separating equipment before and after switching through a constellation rotating method; the beam of each device is optimized based on the real-time channel estimation information. According to the method, dynamic channel distribution, polarization code and rotating constellation technologies are combined, interference and time delay of the wireless keyboard in switching are reduced, and reliability is improved.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products for reference signal (RS) transmission, channel state information (CSI) measurements, and CSI reporting. In an example embodiment, a wireless transmit / receive unit (WTRU) may be configured with multiple CSI-RS resource sets. A CSI-RS resource set may be associated with transmission and / or reception of non-orthogonal CSI-RSs. Neighboring beam groups may share a same CSI-RS resource set. The WTRU may receive CSI-RS transmissions using the CSI-RS resource sets. For example, the WTRU may (e.g., determine to, be indicated to, be configured to) switch from CSI measurement of a first CSI-RS resource set to a second CSI-RS resource set. For example, the WTRU may switch from CSI measurement of the resource sets using a first measurement configuration to a second measurement configuration. For example, the WTRU may switch from applying a first quasi co-located (QCL) configuration to a second QCL configuration to the resource sets.

The invention discloses a depth receiver construction method, an application system, a receiver, equipment and a medium, and the construction method comprises the steps: constructing an MU-MIMO OFDM uplink transmission system, so as to obtain an original training data set; a depth receiver is constructed, and the depth receiver is based on a multi-head self-attention mechanism; and performing multi-time iterative model training and convergence on the depth receiver by using the original training data set. A reliable training data set is obtained by designing a standard-meeting MU-MIMO OFDM uplink transmission system, and model training is carried out by constructing a depth receiver based on a multi-head self-attention mechanism, so that accurate decoding of data streams in a non-orthogonal superposition pilot frequency transmission scheme is effectively realized; therefore, there is no need to design a plurality of independent modules and solve the problem of cooperative work among the modules, and the bit error rate performance is superior to that of a traditional receiver scheme.

The invention provides an information transmission method and device, a terminal and network equipment, and relates to the technical field of communication. The information transmission method is executed by a terminal, and comprises the following steps: determining a transmission resource according to a meta-bit corresponding to uplink data, the meta-bit being a bit stream generated by coding the uplink data; and detecting feedback information of the uplink data sent by network equipment on the transmission resource. According to the scheme, the transmission resource can be accurately determined based on the meta-bit, and accurate transmission of the feedback information of the uplink data in the non-coordinated non-orthogonal multiple access is ensured.

The invention discloses a user scheduling method for an orthogonal and non-orthogonal hybrid multiple access mechanism based on spectrum efficiency management. The method comprises the following steps: step 1, a base station collects channel gain information of users in a network; step 2, the base station adopts a Stackelberg game mechanism to make a decision for multi-user hybrid multiple access, so that effective management of spectrum efficiency in the network is achieved; step 3, the base station updates a threshold value of the spectrum efficiency required by the network, and if the actual spectrum efficiency of the network is greater than or equal to the threshold value, the multiple access decision scheduling strategy of the user in the step 2 is not changed; and if the actual spectrum efficiency of the network is smaller than the threshold value, returning to the step 1 and the step 2, and carrying out user scheduling of the hybrid multiple access mechanism again. According to the method, the Stackelberg game method is adopted to effectively manage the spectrum efficiency of the orthogonal and non-orthogonal hybrid multiple access mechanism, the characteristics of the non-orthogonal multiple access technology and the orthogonal multiple access technology are combined, and the method physically conforms to the scene of practical application and can be effectively applied to engineering practice.

The invention relates to an unmanned aerial vehicle communication and sensing integrated trajectory and beam forming joint optimization method. According to the method, firstly, an unmanned aerial vehicle communication sensing environment is constructed, in the environment, an unmanned aerial vehicle sends superposed signals by using a non-orthogonal multiple access technology, then a bit rate model and a sensing power model are established, and a target function is constructed according to the bit rate model and the sensing power model; and finally, unmanned aerial vehicle flight parameter constraints are set, and under the constraints, the optimal solution of the target function is solved by adopting the improved particle swarm optimization. Compared with the prior art, the method has the advantages that weighted sum maximization of communication user throughput and effective target sensing power is achieved, the spectrum utilization rate is improved, the system application scene is expanded, and the accuracy of unmanned aerial vehicle communication and sensing integrated trajectory and beam forming joint optimization solution is improved.

The embodiment of the invention provides a non-orthogonal multiple access communication system optimization method based on a movable antenna, which is applied to computer equipment, and comprises the following steps: creating a channel model of a movable antenna communication system, creating a decoding strategy, and calculating the minimum reachable rate from a base station end to a plurality of user ends through the decoding strategy. The method comprises the following steps: establishing an optimization model of the minimum reachable rate, splitting an optimization problem of the minimum reachable rate into a plurality of sub-problems, respectively optimizing a pre-coding matrix, a decoding indication matrix and a position vector of a movable antenna of a base station end, and optimizing the pre-coding matrix and the decoding indication matrix of the base station end through an alternate optimization algorithm in an inner cycle, the method comprises the following steps: optimizing a position vector of a movable antenna through an improved Hereum algorithm in external circulation, realizing circulation optimization of a sub-problem through internal and external double circulation, obtaining an optimized decoding indication matrix, a pre-coding matrix of a base station end and the position vector of the movable antenna, and optimizing the performance of a movable antenna communication system. And the minimum reachable rate among the users is improved.

The invention discloses an unmanned aerial vehicle relay route planning method based on photoelectric hybrid switching. The method comprises the following steps: establishing a free space optical channel model, and focusing a flicker effect caused by turbulence and attenuation caused by weather; when a radio frequency channel model is constructed, line-of-sight and non-line-of-sight large-scale fading are fused, and downlink multi-user interference is quantized; establishing a hybrid obstacle model based on a Ray-AABB algorithm, fusing ground static and air dynamic obstacles, and determining a sight distance connection feasible position set; a boundary reflection type random walk model is adopted to describe user movement, and a speed and direction two-parameter updating mechanism and a boundary elastic collision rule are defined; the user throughput is dynamically optimized in combination with fractional order power distribution and non-orthogonal multiple access technologies; a deep reinforcement learning framework is provided, and a three-dimensional track, photoelectric switching and resource allocation are jointly optimized by using a dual deep Q network. According to the invention, the challenge of a low-altitude spectrum rejection environment can be effectively handled, and the robustness and adaptive capacity of the system are ensured.

A transmitter in a wireless communication network includes a bits-to-symbol mapper that produces a plurality of data symbols; and a waveform modulator that receives a first discrete-time waveform and at least a second discrete-time waveform that comprises a cyclic shift of the first discrete-time waveform; modulates a first one of the plurality of data symbols onto the first discrete-time waveform and modulates a second one of the plurality of second data symbol onto the second discrete-time waveform, to produce a plurality of modulated discrete-time waveforms; and sums the plurality of modulated discrete-time waveforms to produce a modulated discrete-time signal to be transmitted in the network. The first discrete-time waveform and at least the second discrete-time waveform are multicarrier signals.

The invention discloses a non-orthogonal waveform MIMO radar imaging method based on deep learning, and the method comprises the following steps: constructing an MIMO radar echo signal model, and obtaining a target echo signal in a whole imaging scene; separating signals of different waveforms in the target echo signal under the condition that the transmitted waveform satisfies an ideal orthogonal condition to obtain waveform vectors corresponding to the different waveforms, and performing azimuth compression to obtain an ideal target image of the MIMO radar; taking frequency domain echo signals at different receiving array elements in an MIMO radar echo signal model and the ideal target image as a training set, and training the constructed deep network model to obtain a trained deep network model; performing target imaging on the actual target echo signal by using the trained deep network model; according to the invention, the echo signal is processed through the trained deep network echo, the coupling interference between waveforms can be effectively suppressed, and the target high-resolution image can be efficiently acquired.

The invention discloses a multi-node concurrent transmission signal superposition diversity method. The method comprises the following steps: S1, generating a Turbo coding sequence by adopting a Turbo encoder; s2, applying phase disturbance to each Turbo coding sequence; s3, performing non-orthogonal superposition in an air channel to form a complex baseband signal; s4, constructing an equivalent observation model; s5, modeling the sending symbol matrix into a sparse matrix to obtain a symbol estimation matrix; s6, inputting the symbol estimation matrix into a Turbo decoder, executing iterative decoding by adopting an improved Max-Log-MAP algorithm, and outputting a bit estimation sequence; s7, completing initial phase estimation by using a Zadoff-Chu lead code, and outputting an estimated phase sequence through a Kalman filter; and S8, dynamically updating the equivalent observation model based on the estimated phase sequence, and completing parallel computing and scheduling. According to the method, Turbo coding, sparse reconstruction and phase disturbance modeling are fused, and multi-node non-orthogonal concurrent transmission is achieved.

The invention discloses a three-channel homodyne interferometer signal processing device and method for suppressing non-orthogonal errors. The device comprises a single-frequency laser, a polarization splitting prism A, a 1 / 4 wave plate A, a first reflector, a 1 / 4 wave plate B, a second reflector and an interference signal resolving module. Wherein the polarization splitting prism A is located at the output end of the single-frequency laser; a 1 / 4 wave plate A and a first reflector are sequentially arranged in parallel in the direction of reflected light; and a 1 / 4 wave plate B and a second reflecting mirror are sequentially arranged in parallel in the transmission light direction. On the premise of repeatedly measuring the non-orthogonal angle, the non-orthogonal error of the interference signal is corrected in the analog operation process by electrically adjusting the amplitude of the interference signal.

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 present application provides a wireless communication method and a communication device. The method comprises: a first device sends a target signal to a second device on a target transmission resource, wherein the target signal comprises a first signal and a second signal that are non-orthogonally transmitted. Embodiments of the present application provide the wireless communication method. In the method, the first signal and the second signal can be non-orthogonally transmitted on the same transmission resource (also referred to as "the target transmission resource"). Compared with a traditional signal transmission scheme that the first signal and the second signal are orthogonally transmitted and occupy different transmission resources, the present application facilitates improvement of the utilization rate of transmission resources.

A communication method and device are used for reducing interference between non-orthogonal demodulation reference signal ports and improving transmission performance. The method may comprise the following steps: a first communication device obtains indication information of a first sequence, the first sequence being a cubic polynomial exponential sequence, a cubic term coefficient of the cubic polynomial being associated with a quadratic term coefficient of the cubic polynomial, the quadratic term coefficient of the cubic polynomial is associated with the frequency domain position of the first sequence; the first communication device can also transmit a first signal, wherein the first signal is obtained by mapping the first sequence through frequency domain resources.