49 results about "Mobile antennas" patented technology

The invention relates to the technical field of wireless communication technology, and provides a rate division multiple access communication method and system assisted by a movable antenna, and the method comprises the steps: firstly constructing a rate division multiple access communication model, the model comprises a base station equipped with a linear movable antenna array and a plurality of users, and the base station communicates with each user; in the model, a user is split into a plurality of clusters, and a beam forming vector corresponding to an inter-cluster public stream, a beam forming vector corresponding to an intra-cluster public stream and a beam forming vector corresponding to a user private stream are formed according to the split clusters; and constructing a maximized minimum user rate optimization model according to the rate segmentation multiple access communication model, disassembling the optimization model into three sub-models, and solving the three sub-models by using an iterative optimization algorithm based on internal and external double loops. According to the invention, through a two-layer rate segmentation multiple access mode, the mobile antenna is introduced to carry out channel reconstruction and the intra-cluster common stream is compensated, so that the maximization of the minimum user rate is realized, and the communication performance is improved.

The invention provides a method for assisting a movable antenna to realize secure communication by STAR-RIS, and relates to the technical field of wireless communication. According to the method, the safety and the rate of the system are maximized by jointly optimizing the beam forming of the base station, the position of the movable antenna and the STAR-RIS coefficient matrix. The method specifically comprises the following steps: constructing a downlink MIMO system and establishing a joint optimization problem; decomposing the joint optimization problem into three sub-problems by adopting an alternate optimization framework; respectively utilizing a particle swarm optimization algorithm and a weighted minimum mean square error method to be combined with a Majoritization-Minimalization algorithm to solve each sub-problem, and respectively utilizing the particle swarm optimization algorithm and the weighted minimum mean square error method to be combined with the Majoritization-Minimalization algorithm to solve each sub-problem; and alternately executing related steps until system security and rate convergence to obtain a solution of the joint optimization problem. By the adoption of the method, the safety communication performance of the system is remarkably improved, full-space coverage and precise beam regulation are achieved, the algorithm convergence is high, the solving efficiency is high, and the method is suitable for a downlink system with multiple users and multiple eavesdropping nodes.

This invention discloses a communication energy efficiency optimization method assisted by a smart metasurface and a movable antenna. This method is applicable to a downlink wireless communication system consisting of a base station, a smart metasurface, and a user terminal equipped with a movable antenna. To improve the energy efficiency of this communication system, this invention proposes a joint optimization method for base station beamforming, RIS reflection coefficient, and MA spatial location. Specifically, considering the energy consumption of base station transmission signals and MA movement, the proposed method constructs a communication system energy efficiency maximization problem under constraints of user communication service quality and MA movement range, and designs an alternating optimization algorithm based on continuous convex approximation. Simulation results show that, compared with traditional fixed antenna schemes and system throughput maximization schemes, the proposed scheme can effectively improve the system's energy efficiency.

The application discloses a kind of wideband signal-oriented distributed movable antenna layout optimization method, comprising: based on swarm intelligence algorithm, antenna layout scheme is iteratively optimized until reaching iteration stop condition, the best fitness of population corresponding antenna layout scheme is regarded as the optimal scheme of antenna layout output;Wherein, the fitness of population is determined according to the wideband cumulative Cramer-Rao bound of its corresponding antenna layout scheme.The present application can directly construct the bottom mapping relationship between continuous position variable and wideband signal direction finding error lower limit by introducing wideband Cramer-Rao bound as fitness function.Because the index itself represents the theoretical minimum direction finding error of antenna layout, it can accurately quantify the spatial spectrum coupling effect of full frequency band;As fitness function, it can make the optimization directly towards the most essential optimization goal, ensure that the output physical array theoretically approximates the wideband direction finding physical limit under this degree of freedom.

The invention particularly relates to an unmanned aerial vehicle covert communication resource optimization method for flexible position antenna enabling. The method comprises the following steps: constructing a joint optimization problem of transmitting beam forming, an unmanned aerial vehicle track and a movable antenna position; a joint optimization problem of transmitting beam forming, an unmanned aerial vehicle track and a movable antenna position is decomposed into three sub-optimization problems, and the three sub-optimization problems include that the transmitting beam forming of the unmanned aerial vehicle is optimized by fixing the unmanned aerial vehicle track and the movable antenna position; the trajectory of the unmanned aerial vehicle is optimized by fixing the transmitting beam forming of the unmanned aerial vehicle and moving the position of the antenna; the position of the movable antenna is optimized by fixing transmitting beam forming of the unmanned aerial vehicle and the track of the unmanned aerial vehicle; and solving the three sub-optimization problems by adopting an alternating optimization algorithm to realize the solving of the joint optimization problem of the transmitted beam forming, the unmanned aerial vehicle track and the movable antenna position. The method provided by the invention has better effectiveness, wider universality and better covert communication performance.

The invention discloses an MA-assisted RSMA-RIS system neutralization rate optimization method, and the method comprises the steps: firstly giving an algorithm for updating the position of a mobile antenna (MA), and then giving an algorithm for obtaining the optimal sum rate of a system based on AO iteration. According to the method, the problems of precoding design, antenna position, RIS reflection matrix design and public rate segmentation scheme design of the multi-user downlink RSMA-RIS system under MA assistance can be solved, the optimal solutions of the system and the rate are obtained through iteration, and the optimal solutions can be rapidly converged.

The application provides a movable antenna array pattern synthesis method based on an improved fish eagle optimization algorithm, converts antenna positions and antenna weights into a joint variable vector, improves an update strategy on the basis of an original fish eagle optimization algorithm, introduces global search exploration based on levy flight in a first stage, and adds an adaptive probability mechanism to dynamically guide a search scheme for selecting between a global optimal value and a same-generation optimal value to strengthen exploration diversity, adopts Gaussian disturbance in a second stage to perform local fine exploration and dynamically attenuate an update step to further optimize a solution in the first stage, prevent premature convergence, and be applied to a pattern synthesis problem in a movable antenna array, consider engineering practical constraints such as a minimum spacing between antenna arrays and a maximum aperture range, and can effectively realize target enhancement, interference suppression and various practical application scenarios such as a shaped beam.

In some implementations, a user equipment (UE) may transmit communication state information for multiple antenna panels of the UE, wherein the multiple antenna panels are mechanically displaceable relative to each other, and wherein the communication state information is based on relative mechanical displacements between the multiple antenna panels. The UE may communicate, via at least one antenna panel of the multiple antenna panels, one or more signals in accordance with the communication state information.

The invention provides a gain phase error calibration DOA (direction of arrival) estimation method for a movable antenna array, and aims to optimize local gain and phase error problems caused by calibration errors in an actual system. On the basis of a two-stage structure, firstly, a rotation-invariant signal subspace is constructed, an estimation problem of a gain phase error is converted into a constrained least square problem, a closed-form solution is obtained by using a Lagrangian multiplier method, and joint estimation and compensation of the error are realized. And then, in the second stage, constructing a noise reduction covariance matrix and introducing an estimated gain phase error for compensation, and finishing high-precision direction-of-arrival estimation in combination with a MUSIC algorithm. A simulation experiment shows that compared with an existing method, the self-calibration method provided by the invention shows more excellent direction of arrival estimation performance in a movable antenna array. The method does not need extra error distribution priori knowledge, has good practicability, and is suitable for application scenes needing accurate DOA estimation, such as wireless sensing and radar.

The invention discloses an active tracking and covering method based on a channel knowledge map in a mobile antenna system, which aims to maximize the total spectrum efficiency in a service period by expressing an active tracking and covering task of mobile user equipment as a long-term trajectory optimization problem of a mobile antenna. Accurately modeling a dependency relationship of a channel on each surface freedom degree of the antenna by using a control parameter obtained based on a Rodrigues rotation matrix; key physical feasibility constraint conditions are systematically integrated, so that the feasibility of an optimization result in engineering is ensured; a channel knowledge map is introduced to realize proactive planning, and traditional reactive control is converted into active planning by utilizing prediction information, so that performance loss caused by channel information lag is reduced; on the basis of a manifold optimization framework, rotation parameters of the movable antenna system are mapped to a special orthogonal group manifold for optimization, rotation constraints are processed through Lie group operation, and singularity and calculation redundancy caused by traditional parameterization are avoided.

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.

A deployable space antenna may include a housing and a first telescoping boom and a second telescoping boom extendable from the housing in opposite directions from a stowed position to a deployed position. Each of the first and second telescoping booms may include telescoping boom segments. Each of a plurality of deployable, steerable antennas is carried by respective telescoping boom segment and movable between a stowed position and a deployed position. An antenna controller is configured to steer the deployable, steerable antennas.

In some implementations, a user equipment (UE) may transmit communication state information for multiple antenna panels of the UE, wherein the multiple antenna panels are mechanically displaceable relative to each other, and wherein the communication state information is based on relative mechanical displacements between the multiple antenna panels. The UE may communicate, via at least one antenna panel of the multiple antenna panels, one or more signals in accordance with the communication state information.

To improve the accuracy of determining the location of wireless tags. [Solution] The communication device of the embodiment includes an antenna, a drive unit, a first acquisition unit, an input unit, and a second acquisition unit. The drive unit moves the position of the antenna. The first acquisition unit acquires tag data for each radio tag based on the radio waves of each radio tag received by the antenna at multiple positions on the antenna. The input unit inputs the tag data for each radio tag at multiple positions on the antenna to a trained model. Based on the input of the tag data for each radio tag to the trained model, the second acquisition unit acquires data from the trained model indicating whether each radio tag falls within a first range or a second range.

This invention discloses a collaborative method for edge sensing and task offloading based on movable antennas, belonging to the field of wireless communication and sensing integration technology. The method is applied to base stations equipped with movable antenna arrays, enabling concurrent downlink environmental sensing and uplink multi-user computation offloading via the movable antenna arrays. It constructs a joint optimization problem centered on optimizing sensing performance while also considering communication constraints. An alternating optimization framework is employed to iteratively optimize receive beamforming, user transmit power, and transmit and receive antenna positions to achieve dynamic collaborative allocation of sensing and communication computing resources. This invention fully leverages spatial freedom, improves sensing accuracy and communication efficiency, and effectively supports the collaborative requirements of high-precision sensing and concurrent multi-task offloading in edge intelligence scenarios.

The invention discloses an integrated perception communication and air computing system based on movable antenna assistance and a joint optimization method, and belongs to the technical field of wireless communication and networks. A traditional large-scale fixed antenna array is replaced by a receiving antenna (MA) of which the position can be dynamically adjusted, so that the hardware cost and the energy consumption are remarkably reduced. Compared with the prior art that the ISCCO system needs to configure a large-scale antenna array to ensure the sensing precision and the communication capacity, so that the equipment cost is sharply increased, and the energy consumption is proportionally increased along with the number of radio frequency chains, the method provided by the invention has the advantages that the characteristics of spatial diversity are enhanced by dynamically adjusting the position by virtue of the MA; compared with the prior art, the sensing-communication performance equivalent to that of a large-scale fixed array can be achieved with fewer antenna elements, the purchase and deployment cost of the antenna and a matched radio frequency chain is reduced, the transmitting power of a fixed transmitting antenna (FPA) can be dynamically adapted based on MA real-time position parameters, redundant energy consumption waste is avoided, and the dual optimization effect of low cost and low energy consumption is achieved.

Methods and systems related to neural networks or other function approximators operate for training a neural network is provided, or another function approximator, for inferring a predetermined time of arrival of a predetermined transmitted signal on the basis of channel-impulse-responses, CIRs, of transmitted signals between a mobile antenna and a fixed antenna, the method having: obtaining a channel impulse response condition characteristic, CIRCC, descriptive of channel impulse responses of transmitted signals associated with mobile antenna positions within a reach of the fixed antenna; generating, by simulation, a training set of simulated CIRs which are associated with different times of arrival in one or more simulated scenes, and which fit to the CIRCC; training the neural network, or other function approximator, using the simulated CIRs and the different associated times of arrivals to obtain a parametrization of the neural network, or other function approximator, associated with the CIRCC.

Methods, systems, and devices for wireless communications are described. A wireless device, such as a customer premises equipment (CPE), may transmit a first capability message indicating a first set of communication parameters associated with one or more mechanically-displaceable antenna panels of the wireless device. The wireless device may then communicate during a first time interval in accordance with the first set of communication parameters. Subsequently, upon identifying a change / degradation in the communication parameters, the wireless device may transmit a second capability message indicating a second set of communication parameters associated with one or more mechanically-displaceable antenna panels. The wireless device may then communicate during a second time interval in accordance with the second set of communication parameters. Thus, the wireless device may dynamically update communication parameters based on the mechanical degradation of the mechanically-displaceable antenna panels.

The invention discloses an edge perception and task unloading cooperation method based on a movable antenna, and belongs to the technical field of wireless communication and perception integration, the method is applied to a base station equipped with a movable antenna array, and downlink environment perception and uplink multi-user calculation unloading are concurrently executed through the movable antenna array; constructing a joint optimization problem which takes optimization perception performance as a core and takes communication constraints into consideration; an alternative optimization framework is adopted, and receiving beam forming, user transmitting power and transmitting and receiving antenna positions are iteratively optimized, so that dynamic collaborative allocation of sensing and communication computing resources is realized. According to the method, the spatial degree of freedom can be fully mined, the sensing precision and the communication efficiency are improved, and the collaborative demand of high-precision sensing and multi-task concurrent unloading in an edge intelligent scene is effectively supported.

A method and apparatus for generating and distributing signal correction data for use by GNSS receivers. In embodiments, a method for performing signal processing in a radio signal receiver and a moving antenna that moves about a known, fixed location, includes: receiving radio signals from a plurality of transmitters using the moving antenna, where the antenna is moving relative to the received radio signals; performing motion compensated correlation of the signals to generate motion compensated correlation results; determining a measured pseudorange from the receiver and each of the plurality of transmitters; determining a difference between the pseudorange and an expected pseudorange for each transmitter, where the difference represents an atmospheric delay experienced by the signals as the signals propagate from each transmitter to the receiver; and transmitting the delay to a correction data server to be used to generate correction data that is distributed to at least one GNSS receiver.

The invention discloses a microwave welding method and a welding device, and relates to the technical field of microwave welding, the welding method comprises the following steps: coating a wave absorbing material on a welding area of two plates needing to be welded, and placing the two plates on a substrate of a workbench; the running direction and speed of the three-dimensional moving frame are planned according to the shape needing to be welded; the antenna array welding module is connected with a microwave source to start welding; the microwave power is adjusted according to the temperature and the welding condition of the two plates, so that the areas, with the wave-absorbing materials, of the two plates are heated to a molten state, and welding is completed; and the microwave source and the workbench are closed, and the two welded plates are taken out. The device is reasonable in design, welding of large-size and complex-structure workpieces is achieved through microwave radiation of the antenna array welding module, the energy focusing place can be changed by moving the position of the antenna array welding module, and local directional welding of the large-size workpieces is achieved.

A system for tracking an underground object. An above-ground tracking device has an antenna array located at a terminal end. The antenna array can determine a location of the underground object based upon the direction and magnitude of a magnetic field emanating from that object. The tracking device is registrable with a rover such that the antenna array may be moved by the rover in response to the magnetic field. A processor onboard the tracking device may communicate commands to the rover to either maintain its position relative to the underground object, or move to a location where the magnetic field can be measured.

The utility model discloses a waveguide slot antenna surface treatment device which comprises a base, a support, a cleaning assembly, a supporting plate and a driving assembly. The support and the driving assembly are fixed to the base. The cleaning assembly is arranged on the support. The supporting plate is provided with the antenna, connected with the driving assembly and driven by the driving assembly to move left and right. The processing assemblies include a first processing assembly and a second processing assembly. The first processing assembly comprises a first connecting shaft, a mounting box, a chain wheel and a chain, one end of the first connecting shaft is connected with the support, the other end of the first connecting shaft is connected with the mounting box, the chain wheel and the chain are arranged in the box and rotate to drive the chain, and a first brush on the chain processes the antenna surface. The second processing assembly comprises a second connecting shaft, one end of the second connecting shaft is rotationally connected with the support, and a lower-end rotating disc is provided with a second brush processing antenna side face. The device automatically moves the antenna, realizes omnibearing processing on the surface of the antenna, and ensures the processing quality.

The invention provides a relay communication control method and device, equipment, a storage medium and a program product, and relates to the technical field of wireless communication. The method comprises the following steps: under the condition that to-be-transmitted data needing to be transmitted through a relay node exists between a source node and a destination node, determining a target antenna position, source node transmitting power and relay node transmitting power which enable the average channel capacity to be maximum based on an average channel capacity model corresponding to a relay communication system, the average channel capacity model represents the relationship between the average channel capacity of the relay communication system and the antenna position, the source node transmitting power and the relay node transmitting power within the preset time length; controlling the movable antenna to move to the target antenna position; according to the transmitting power of the source node, controlling the transmitting power of the source node when transmitting the to-be-transmitted data; and according to the transmitting power of the relay node, controlling the transmitting power of the relay node when transmitting the data to be transmitted. The performance of the relay communication system can be improved.

The invention discloses a method and a system for optimizing a movable antenna in a federated Internet of Vehicles based on differential privacy, and the method comprises the steps: constructing a federated Internet of Vehicles model based on an intelligent movable antenna, including a communication model, a calculation model and a privacy cost model, and building a target function with the minimization of base station compensation cost and communication energy consumption as targets; and further decomposing the target function into two sub-problems, solving a closed-form solution by adopting a Karush-Kuhn-Tucker condition, and solving and optimizing target function distribution of the two sub-problems by adopting a depth Q algorithm in reinforcement learning. The system comprises a construction module, an additive noise distribution module and an antenna position optimization module, the compensation cost of the base station in the Internet of Vehicles is modeled, the compensation cost of the base station in the Internet of Vehicles is minimized, and the communication rate between the vehicle user and the base station is improved and the communication energy consumption is reduced by optimizing the position of the movable antenna.

The invention provides a mobile antenna array directional diagram synthesis method based on an improved eagle optimization algorithm, which comprises the following steps: converting an antenna position and an antenna weight into a joint variable vector, carrying out updating strategy improvement on the basis of an original eagle optimization algorithm, introducing global search exploration based on level flight in a first stage, and carrying out global search exploration based on level flight in a second stage; in the second stage, Gaussian disturbance is adopted to carry out local refined exploration, and the updating step length of dynamic attenuation is adopted to further optimize the solution in the first stage, so that premature convergence is prevented; the method is applied to a directional diagram synthesis problem in a movable antenna array, engineering practical constraints such as the minimum distance between the antenna arrays and the maximum aperture range are considered, and practical application scenes such as target enhancement, interference suppression and various shaped beams can be effectively realized.

Methods, systems, and devices for wireless communications are described. A wireless device, such as a customer premises equipment (CPE), may transmit a first capability message indicating a first set of communication parameters associated with one or more mechanically-displaceable antenna panels of the wireless device. The wireless device may then communicate during a first time interval in accordance with the first set of communication parameters. Subsequently, upon identifying a change / degradation in the communication parameters, the wireless device may transmit a second capability message indicating a second set of communication parameters associated with one or more mechanically-displaceable antenna panels. The wireless device may then communicate during a second time interval in accordance with the second set of communication parameters. Thus, the wireless device may dynamically update communication parameters based on the mechanical degradation of the mechanically-displaceable antenna panels.

Systems are provided for determining location of tags in an environment. The system includes at least one mobile antenna that moves around the environment. The absolute location associated with the mobile antenna is known and it sends and receives messages including at least one of time of arrival, time of departure, signal strength and angle of arrival. A measurement module performs distance measurement between the at least one mobile antenna and at least one tag in the environment to obtain at least. The distance measurements are associated with at least two locations of mobile antenna. A storage module records the distance measurements at the at least two locations and the at least two locations. A location module computes a location of each of the at least one tags based on the recorded distance measurements at the at least two locations and the recorded locations of the mobile antenna.

The invention discloses a resource allocation method for a wireless data and energy simultaneous transmission system assisted by a movable antenna. The method comprises the following steps: designing an IDET system model assisted by the movable antenna; defining an optimization target bit to maximize the minimum reachable throughput of the data user, and obtaining an optimization target expression and constraints thereof; designing an alternating optimization algorithm based on a particle swarm optimization algorithm to solve an optimization problem; a time division multiple access mechanism is adopted to perform unified scheduling on a data transmission time slot and a special energy transmission time slot, and meanwhile, joint optimization is performed on an antenna position, a beam forming vector and time slot allocation; according to the method, an optimization model with the goal of maximizing the minimum reachable throughput of the data receiving end is constructed, and the non-convex multivariable coupling problem is solved through an alternating optimization framework based on the particle swarm optimization under the condition that the energy collection requirements of all energy receiving ends are met; therefore, the system shows excellent throughput performance and energy transmission efficiency under the conditions of different transmitting powers, energy requirements and antenna numbers.