670results about How to "Improve communication quality" patented technology

The invention relates to the technical field of communication optimization, in particular to a wireless communication method and system of a vehicle diagnosis system. The method comprises the following steps: identifying a plurality of signal sources in an environment and three-dimensional space data of a current position of a vehicle; performing scene interference intensity comprehensive evaluation on the plurality of signal sources in the environment to obtain a current scene interference intensity evaluation value of the vehicle; environment obstacle space layout analysis is carried out on the three-dimensional space data of the current position of the vehicle, environment three-dimensional modeling is carried out, and a vehicle environment three-dimensional point cloud model is constructed; signal multi-path propagation evolution is carried out according to the current scene interference intensity evaluation value of the vehicle and the vehicle environment three-dimensional point cloud model, and optimal signal frequency band analysis is carried out, so that optimal signal frequency band parameters are extracted; and carrying out dynamic transmission frequency modulation and signal adaptive coding based on the optimal signal frequency band parameter, and constructing a dynamic signal transmission strategy. According to the invention, efficient and stable wireless communication is realized, and the vehicle-mounted communication performance is improved.

The invention relates to the field of low-altitude economy, in particular to a server communication optimization method and system based on low-altitude economy. The method comprises the following steps: monitoring an unmanned aerial vehicle communication relay node in a low-altitude field; carrying out node space position positioning calculation on the unmanned aerial vehicle communication relay nodes one by one, carrying out distributed relay topology fitting, and constructing a low-altitude relay communication network; collecting low-altitude real-time interaction information based on a low-altitude relay communication network; performing communication link bandwidth calculation on the low-altitude real-time interaction information, performing dynamic communication protocol modulation, and constructing a dynamic low-altitude adaptive communication protocol; identifying real-time communication state parameters of the relay nodes based on the low-altitude relay communication network; performing inter-node communication channel identification on the real-time communication state parameters of the relay nodes, performing optimal channel scheduling decision, and constructing an optimal channel scheduling strategy; current user communication data of the ground server is monitored. According to the invention, low-delay and high-efficiency server communication optimization is realized.

The invention provides a brain parenchyma MRI image-based infarction change prediction method and system, and relates to the technical field of image recognition, and the method comprises the steps: obtaining a brain parenchyma MRI image, constructing a multi-modal image set, carrying out the screening according to a screening standard, carrying out the artifact recognition, calculating a quality score, carrying out the preprocessing, obtaining standard image data, carrying out the feature extraction, and carrying out the prediction of the infarction change of the brain parenchyma MRI image. Obtaining a brain region segmentation mask; performing feature extraction to obtain multi-modal feature data, constructing a topological relation among different brain regions, extracting high-order semantic features, obtaining brain region feature data, and performing selection to obtain high-quality feature data; constructing a time sequence characteristic matrix, distributing weights, generating residual output, performing prediction through a full-connection neural network, generating an infarction change prediction result, generating a prediction prognosis result, and generating a comprehensive prediction report.

The invention discloses an intelligent metasurface channel optimization method and system based on a beam forming algorithm, and relates to the technical field of intelligent metasurfaces, and the method comprises the steps: collecting real-time environment data, monitoring channel state data, and evaluating the influence of the environment and the channel state on a signal; evaluating the gain strategy of the intelligent metasurface, and evaluating the performance of the current beam forming strategy by combining the influence of the environment and the channel state on the signal; and calculating an optimal beam forming parameter by using a gradient descent method to realize channel optimization. According to the method, through comprehensive utilization of real-time environment monitoring, channel state evaluation, an advanced data analysis technology and a mathematical optimization method, dynamic adjustment and real-time optimization of intelligent metasurface channel optimization are achieved, efficient and stable operation of a communication system in a complex environment is ensured, the speed and reliability of data transmission are remarkably improved, and the method is suitable for popularization and application. The invention provides a more efficient, flexible and adaptive beam forming strategy optimization method, and the performance of a wireless communication system is remarkably improved.

The invention relates to a signal interference optimization method and device. The method comprises the following steps: monitoring network parameters in a mobile communication network, and evaluating the interference level of each target frequency band in the mobile communication network according to the network parameters; generating a frequency allocation strategy according to the interference level, the frequency allocation strategy being used for dynamically matching the communication signal to the optimal frequency band; in addition, according to the interference level and the network parameters, a power adjustment strategy is generated, and the power adjustment strategy is used for dynamically adjusting the transmitting power of each base station in the mobile communication network so as to reduce signal interference. According to the application, the collateral dredging parameters are monitored in real time, and the optimal frequency band is dynamically matched for the communication signal according to the network parameters, so that the frequency band with serious interference is avoided, and the communication quality is ensured; meanwhile, according to the power adjustment strategy, the transmitting power of each base station can be dynamically adjusted based on a feedback mechanism, the signal interference is reduced while the communication requirement is met, the communication quality is further improved, and the increasing communication requirement of the user is met.

The invention provides a self-adaptive anti-interference method based on unmanned aerial vehicle communication interference monitoring, and belongs to the technical field of unmanned aerial vehicle communication, and the method comprises the steps: obtaining all signal information in a communication range of an unmanned aerial vehicle, carrying out the spectrum analysis of the signal information, and recognizing a normal communication signal and an interference signal according to a spectrum analysis result; performing interference feature extraction on the interference signals, classifying the interference signals according to interference features, determining an interference source based on a classification result, and positioning the interference source; adjusting the original network topology of the unmanned aerial vehicle based on the positioning result, and performing deployment optimization on the relay node to obtain an updated network topology; the communication parameters and the flight path of the unmanned aerial vehicle are adjusted according to the updated network topology, the communication quality and the system adaptability are improved, and the reliability and the stability of a communication system are improved.

The invention provides an HPLC (High Performance Liquid Chromatography) and micropower wireless dual-mode communication frequency self-adaption method, which belongs to the technical field of dual-mode communication and comprises the following steps: firstly, establishing dual-mode communication by initializing parameters such as carrier frequency, sending power and modulation mode; secondly, electromagnetic interference signals in a power line channel are collected, and a linear superposition noise model containing a time domain weight is established to predict noise characteristics; meanwhile, a zero-crossing point time sequence of the power line signal is analyzed, and a zero-crossing point feature vector is constructed. And in combination with noise spectrum prediction and zero crossing point features, solving a convex optimization problem to obtain an optimal carrier frequency and other communication parameters. For micropower wireless communication, a channel quality evaluation matrix is constructed based on indexes such as signal strength, channel busy degree and bit error rate, an interference prediction model is established, and wireless communication parameters are optimized through quadratic programming. And finally, establishing a switching decision function according to a set communication quality threshold, and realizing self-adaptive switching of dual-mode communication so as to ensure the overall communication quality.

The invention relates to the technical field of carrier communication, in particular to a multichannel power line carrier communication system which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, a selection module, a sending module and a correction module. According to the invention, through an accurate data acquisition and real-time determination mechanism, complex environment changes in a power network can be effectively dealt with, stability and high efficiency of communication are ensured, channels with optimal parameters such as signal strength, noise, delay and the like are optimized through multi-stage screening and determination, channels with relatively large interference and noise are effectively avoided, and the communication efficiency is improved. Meanwhile, the correction module can adjust the intensity threshold value in real time, it is guaranteed that the system still maintains excellent communication performance when the number of channels fluctuates and the network load changes, and the problems that due to the fact that the attention degree of the influence of real-time environment changes on signal quality is low, channel selection is inaccurate, and verification results are deviated are effectively solved.

The invention provides a self-discovery ad-hoc network control method based on a swan-gap operating system, and relates to the technical field of data processing, and the method comprises the steps: based on the swan-gap operating system, extracting the identification information and communication parameters of equipment from all to-be-networked equipment; carrying out compatibility judgment on the communication protocol version and the maximum support bandwidth between the devices; determining a control relationship between the master device and the slave device; dynamically allocating communication resources to each device by adopting a distributed channel allocation algorithm in combination with task requirements of the devices and network bandwidth information; periodically synchronizing the resource state of each device; when the slave device sends a networking quitting request, the master device updates the networking candidate data and re-determines the networking control relationship after releasing the corresponding communication resources; when the master device exits, the device with the highest priority is selected from the slave devices to automatically take over the control role and complete the reconstruction of the networking control relation; according to the invention, the autonomy and accuracy of networking are improved.

The invention provides an OFDM signal receiving and processing system and method suitable for an NAVDAT system. According to the method, the characteristics that NAVDAT system signals have synchronous headers, pilot frequencies and the like are fully considered, firstly, the synchronous headers are used for carrying out correlation operation on received data to search a frame starting point, and a signal frame to be demodulated and decoded is obtained in combination with a constant false alarm detection algorithm; and subsequently, carrying out symbol synchronization to determine the FFT window position. Secondly, in combination with a discrete pilot signal, estimating an integral multiple frequency offset error, namely coarse synchronization, and further realizing estimation of a decimal multiple frequency offset error, namely fine synchronization, so as to realize frequency synchronization. And then, channel estimation is carried out by using the pilot signal and adopting a least square method to obtain the channel frequency response of the pilot, the frequency response of the complete signal is obtained through interpolation, and the rough estimation result is further processed through the designed RCAFCN network to obtain accurate channel estimation, so that the original OFDM signal is recovered. And finally, extracting a data part in the OFDM signal according to a frame structure, realizing soft demodulation through a log-likelihood ratio mode, decoding data of a signaling part by using a polarization code, and decoding data of a service part by using a low-density parity check code, thereby realizing complete demodulation and decoding. The method provided by the invention can effectively reduce inter-symbol interference and inter-carrier interference existing in OFDM signals, compensate channel distortion, reduce noise influence, improve decoding precision, improve communication quality, realize optimization of NAVDAT system baseband processing, and guarantee sailing safety of ships on the sea by combining with an existing marine broadcast system.

The invention provides an intelligent switch networking method and device based on a Bluetooth mesh, and the method comprises the steps: obtaining initial feature data according to the hardware capability information, the power type information and the geographic position information of each intelligent switch connected to a Bluetooth mesh network; according to the initial feature data, performing type analysis on each intelligent switch to obtain switch type data; according to a preset network distribution algorithm and the switch type data, an initial network topology structure is obtained, and the initial network topology structure comprises backbone switches and edge switches; performing networking communication according to the initial network topology structure, collecting single load data in the networking communication process, and performing multi-dimensional evaluation according to the single load data to obtain a comprehensive load index; and when the comprehensive load index exceeds a preset threshold value, performing role upgrade evaluation on the edge switch to obtain a role adjustment decision, and obtaining an optimized network topology structure according to the role adjustment decision and the initial network topology structure.

The invention discloses a signal optimization method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining an initial signal, and dividing an available frequency band of the initial signal into a plurality of sub-frequency bands; according to an interference evaluation model, obtaining interference degrees between different sub-frequency bands, and obtaining an interference evaluation result; dynamically adjusting a frequency range corresponding to each sub-band according to the interference evaluation result; wherein the interference evaluation model is constructed based on a support vector machine and / or a random forest. Therefore, a new signal optimization strategy can be provided, and the signals can be dynamically allocated to adapt to a dynamically changing signal environment.

The invention discloses an Internet of Things data analysis system based on artificial intelligence, and relates to the technical field of telecommunication, the system analyzes the coupling effect in signal propagation through a path selection and prediction module and an AI algorithm, and outputs an environmental influence function TW; and the dimension reduction feature data set F is combined with the environmental influence function TW to calculate and output a prediction path optimization parameter Pout. The intelligent path selection model not only considers factors such as signal intensity attenuation, noise interference and building reflection, but also combines the influence of terrain and weather, so that the prediction accuracy is greatly improved. And the dynamic path adjustment switching module realizes intelligent adjustment of the communication path based on the quality score comparison of the current path Pcurr and the predicted optimal path Pout and the setting of a threshold value M. And the response speed and the decision quality of the system in the case of network condition change are enhanced.

The invention discloses satellite communication transmission equipment, which relates to the field of communication transmission, and comprises a transmission control module used for providing access authority of a signal receiving end and a signal transmitting end and carrying out editing operation of operation instructions of all functional modules; the signal monitoring module is used for monitoring the signal-to-noise ratio, the bit error rate and the received signal strength of signal receiving according to a preset period, calculating a signal quality index in real time, and performing trend analysis and display on the signal quality index; the feedback generation module is used for aggregating the calculation signal quality indexes from the signal monitoring module and generating comprehensive feedback information; the method can quickly respond to the change of signal quality, compares the real-time signal quality with a preset standard threshold, generates a control signal, intelligently adjusts the transmitting power according to the environmental change, generates a missing report according to historical and current data, timely identifies and records a missing data packet, and uses a prediction model to predict the missing data based on the historical data and the real-time signal state. And intelligently analyzing a potential data missing trend, and generating a recovery scheme.

The invention discloses an anti-interference microwave electrically tunable filter regulation and control system and method, and particularly relates to the technical field of communication anti-interference, the interference suppression of microwave signals is realized through the following steps: firstly, based on a preset frequency range, monitoring the frequency spectrum change of the microwave signals in real time, and identifying the type and source of interference signals; when the microwave electrically tunable filter is initially tuned, a single-channel strategy is adopted, a preset suppression measure is executed according to interference frequency characteristics, and interference signals are effectively filtered out; finally, a feedback control mechanism is used, the performance of the filter is monitored in the adjusting process, the strategy is dynamically corrected, and the stability and high efficiency of the anti-interference performance are ensured; according to the method, the performance of the microwave filter is evaluated in real time through the environment change characteristic index and the environment complex characteristic index, the positive feedback or negative feedback signal is generated through the fuzzy reasoning model to serve as the basis for adjusting the work of the filter, and the response capacity to the interference environment is improved by adopting a feedback control mechanism; and the high-efficiency anti-interference performance is ensured.

The invention provides an emergency call method, system and device based on the VONR technology, and relates to the technical field of emergency calls, and the method comprises the steps: determining an initial deployment scheme; quickly deploying the unmanned aerial vehicle base station in the air; n unmanned aerial vehicle base stations are started, and a VONR technology is started; n unmanned aerial vehicle base stations receive and analyze the emergency call data in real time, and output N dynamic resource priority schedules; the 5G core network allocates communication resources; dynamic flow sharing and rescue dynamic task allocation of the unmanned aerial vehicle base station are synchronously executed by adopting N dynamic resource priority scheduling and dynamic resource allocation scheduling, and emergency call guarantee is carried out. According to the invention, the technical problem that the rescue efficiency is affected due to poor emergency communication quality caused by inflexible communication resource allocation in an emergency in the prior art can be solved, and high quality and low delay of emergency communication are ensured through a VONR technology and intelligent resource scheduling, so that the rescue efficiency is improved.

The invention discloses a large-depth pressure-resistant communication antenna of an unmanned underwater vehicle and the underwater vehicle, and belongs to the technical field of underwater vehicles, the antenna comprises an antenna shell, a pressure-resistant cabin body and a fin-shaped component, the pressure-resistant cabin body is a component forming a cabin body segment of the underwater vehicle, and the fin-shaped component is a fin-shaped component. The antenna shell comprises a radial supporting part fixed to the pressure-resistant cabin and a shell part fixed to the top end of the radial supporting part, the fin-shaped component is fixed to the radial supporting part, an antenna unit is installed in the shell part, and a wireless communication function unit connected with the antenna unit is arranged in the pressure-resistant cabin. The large-depth pressure-resistant communication antenna of the unmanned underwater vehicle has the advantages of being excellent in communication quality, high in pressure resistance, optimized in size, high in space utilization rate, stable and reliable for a long time and the like, and can meet operation requirements in a deep sea environment.

The invention discloses a 4G FDD stock terminal direct connection satellite-oriented time synchronization method, which comprises the following steps: firstly, a base station delays a starting point of a preamble sequence detection window and enlarges the window size, the base station receives a preamble sequence in the enlarged window and detects the size of time delay by decoding the preamble sequence, and after the base station determines the size of the time delay, the base station delays the starting point of the preamble sequence detection window; according to the method, time delay is divided into an integer part tau i and a decimal part tau f by taking milliseconds as a unit, terminals are divided into two types according to whether the decimal time delay is greater than 0.66 ms or not, so that an uplink frame structure of a base station is modified, the base station determines an uplink subframe scheduling strategy according to the uplink frame structure, the decimal part tau f of the time delay is used for determining a TA value, and the TA value is used for scheduling the uplink subframe. The integer part tau i is used for delaying receiving of uplink information, and the scheduling strategy is applied to subsequent receiving and transmitting of Msg3, downlink HARQ and other uplink information; the stock 4G terminal is directly connected with the satellite under the condition that only the base station side protocol is modified and the terminal side protocol is not changed, so that the 4G communication system supports larger time delay, and meanwhile, the upgrading cost of an operator and a user is reduced.

The invention is suitable for the technical field of data transmission, and provides an illumination lamp data transmission control method, which comprises the following steps of: acquiring data, state data and physiological health data by an illumination lamp; different priorities are set for each type of data, and different data are processed by adopting corresponding compression strategies; a multi-hop transmission ad hoc network is established between the lighting lamp and other nearby lighting lamps, and a network topology structure is dynamically adjusted; the lighting lamp evaluates an optimal sequence of various transmission paths transmitted to the monitoring center based on real-time information in the ad hoc network, and sets corresponding transmission paths and transmission strategies for different data according to priorities; the lighting lamp transmits the data with different priorities to the monitoring center hop by hop through a selected transmission path according to a set transmission strategy; and the monitoring center receives the data of the lighting lamps and carries out corresponding processing according to the priority of the data. According to the invention, the problems of stability, real-time performance and priority management of data transmission in an existing complex mine environment are solved.

The invention relates to a switching control method, a function network element, a communication system and electronic equipment, and relates to the technical field of satellite communication. The switching control method is executed by a first functional network element, and comprises the following steps: receiving a switching target determination request sent by a second functional network element, the switching target determination request comprising position information of user equipment, a service time range and an identifier of a currently accessed satellite; according to the position information of the user equipment, the identifier of the currently accessed satellite and the change information of the topological structure of the satellite network, determining one or more target satellites for continuous switching of the user equipment within the service time range; and sending a handover target determination response to the second function network element, the handover target determination response comprising the identifiers of the one or more target satellites, so that the second function network element controls handover of the user equipment according to the identifiers of the one or more target satellites.

The invention discloses a secure air implementation method integrating mobile edge computing and block chain technology, and the method constructs a secure edge computing framework integrating block chain assisted unmanned aerial vehicles, in an unmanned aerial vehicle assisted edge computing system, a plurality of unmanned aerial vehicles carrying micro servers serve as air edge servers, and the unmanned aerial vehicles carry micro servers. And a calculation unloading service is provided for the Internet of Things equipment. Meanwhile, block chain tasks are deployed on the edge servers, so that the edge servers also serve as consensus nodes of a block chain model; the system uses a practical Byzantine consensus mechanism to increase fault tolerance of blockchain nodes, an unmanned aerial vehicle edge server needs to mount received calculation tasks and corresponding calculation results on a blockchain platform as transactions, and blocks are packaged into the blockchain system through verification of the consensus nodes, so that privacy of users is protected. According to the method, a more rational and efficient unloading strategy is realized, so that the energy consumption and the time delay of the system are reduced, and the effectiveness of the system is improved.

The invention relates to the technical field of communication beam control, in particular to a beam control algorithm for wireless communication, which comprises the following steps of: selecting an initial beam direction set through a preset beam mode library; constructing a channel state feature map through a deep learning model, and predicting a future channel change trend of the user; according to the future channel change trend of the channel state feature map, preliminarily adjusting the beam direction set to generate a plurality of candidate beam directions; the self-adaptive tuning module based on reinforcement learning adjusts the beam width, so that the beam is concentrated in the target user direction and covers a potential multi-path reflection path; and continuously updating the beam pattern library and the deep learning model. According to the invention, the beam direction can be dynamically adjusted, so that the effectiveness and stability of signal coverage are improved, and the communication quality in a complex propagation environment is ensured.

The invention relates to the technical field of radio communication, and discloses an XL-RIS-assisted near-field multi-beam design method and system, and the method comprises the steps: constructing an XL-RIS-assisted near-field communication multi-user receiving signal model; constructing a near-field multi-beam optimization model; the near-field multi-beam optimization model is solved, so that an XL-RIS beam reflection matrix can be obtained; and iteratively solving the near-field multi-beam optimization model to obtain a reflection matrix of a base station transmitting signal to the XL-RIS, and completing XL-RIS assisted system multi-beam optimization. Compared with the existing calculation, the beam optimization method provided by the invention does not need a complicated calculation problem, overcomes the problems of low convergence speed and high calculation complexity in large-scale array processing of the traditional method, and improves the optimization efficiency. The operation speed can be increased under the condition that the system performance is guaranteed.

The invention discloses a carrier and wireless dual-mode communication link hot standby method, which comprises the following steps of: detecting the communication quality of current network terminal equipment, predicting based on the detected historical communication quality of the terminal, and adjusting the distribution of communication channels in different networks according to the predicted communication quality of the terminal at t + 1 moment, so that the communication quality of the terminal is improved after adjustment. And through network hot standby, the single-point bottleneck of equipment carrier and wireless communication is improved. And dynamic load balancing is further included, and load balancing of the whole network is achieved based on the overall resource occupation condition of the system.

The invention relates to a method for assisting ground user communication by a multi-antenna unmanned aerial vehicle, belongs to the field of unmanned aerial vehicle assisted communication, and solves the limitation of a single-antenna unmanned aerial vehicle in the aspects of signal concentration and directional transmission. Comprising the following steps: constructing a multi-antenna unmanned aerial vehicle assisted multi-ground user communication system, and calculating a steering vector from an unmanned aerial vehicle to each ground user; calculating a channel gain from the unmanned aerial vehicle to each ground user based on the steering vector; calculating a communication rate between the unmanned aerial vehicle and each ground user based on the channel gain; constructing an unmanned aerial vehicle assisted ground user communication optimization model which takes maximization of the average communication rate between the unmanned aerial vehicle and multiple ground users as an optimization objective function and meets user scheduling constraints, unmanned aerial vehicle communication performance constraints, unmanned aerial vehicle transmitting power constraints and unmanned aerial vehicle flight trajectory constraints; and solving the unmanned aerial vehicle assisted ground user communication optimization model to obtain an optimal communication solution of the unmanned aerial vehicle and the multiple ground users. And the signal can accurately reach the ground user.

The invention discloses a distributed task scheduling method and system suitable for a space-based distributed operating system, and the method comprises the steps: monitoring and collecting network communication data of communication links between a satellite-borne computing power unit and other computing power units in real time through a distributed communication tracking system integrated in a space-based system, synchronizing to a ground control system; a distributed task scheduler deployed in a ground control system analyzes network communication data, and an optimal satellite or satellite-borne computing power unit combination is selected for a distributed task for scheduling; and carrying out rescheduling on the operated distributed task under an abnormal condition through a rescheduler deployed in a satellite-borne computing power unit. According to the method, the computing power unit combination with the best communication quality can be intelligently selected for the distributed tasks in a complex space-based system environment, efficient circulation of information interaction between the distributed tasks is ensured, the accuracy and reliability of data exchange are improved, and powerful support is provided for continuity and stability of space-based computing tasks.

The invention relates to the technical field of satellite communication, and discloses a communication method and system for a long-voyage ship based on L frequency band communication, and the method comprises the steps: recognizing the navigation environment and communication demands of the long-voyage ship, recognizing the satellite signals of the long-voyage ship and a communication end through recognizing the frequency band characteristics of a communication frequency band, and carrying out the communication of the long-voyage ship; a signal tracking network of satellite signals is set, signal parameters of the satellite signals are monitored in real time according to the signal tracking network, a quality feedback mechanism of the signal parameters is set, the current signal quality grade is identified, and the signal quality requirements of the long-voyage ship and the communication end are identified based on the current signal quality grade; the method comprises the following steps: setting a multi-beam switching mechanism pointing to beams and a signal locking network of satellite signals, setting a confidential path for transmitting data, and generating a communication result of a long-voyage ship and a communication end in combination with the multi-beam switching mechanism, the signal locking network and the confidential path; according to the invention, the stability and safety of signal transmission can be enhanced, and the communication quality of the long-voyage ship is improved.

The invention relates to a signal device deployment strategy generation method and device, equipment and a storage medium. The method comprises the following steps: acquiring user data of users in a to-be-deployed area and area information of the to-be-deployed area; based on the region information, establishing a signal device deployment model corresponding to the to-be-deployed region, the signal device deployment model comprising a machine learning model; adjusting the signal device deployment model according to the user data; and based on the adjusted signal device deployment model, generating a deployment strategy of to-be-deployed signal devices in the to-be-deployed area, the deployment strategy comprising a deployment number of the signal devices, deployment positions of the signal devices, power parameter configuration of the signal devices and frequency parameter configuration of the signal devices. By adopting the method, the communication quality can be improved.

The invention belongs to the field of LPWAN Internet of Things, discloses a LoRa network adaptive data rate control method and system, and aims to reduce unnecessary energy consumption and prolong the service life of terminal equipment, especially equipment depending on battery power supply, by optimizing the transmitting power and the data rate. By dynamically adjusting the data rate, the terminal can still keep communication under the condition of weak signals, and the overall network coverage range and the signal quality are improved. According to the method, the communication parameters in the link state are optimized, the data packet receiving rate can be improved, and the reliability of data transmission and the stability of the link are ensured. According to the invention, the number of terminals using different data rates in the network can be adaptively adjusted, the network throughput is increased, the transmission efficiency is improved, and good communication quality is maintained.

The invention discloses a reconfigurable metasurface reflective array based on MOS switch chip regulation and control and an implementation method of the reconfigurable metasurface reflective array. The metasurface reflective array comprises a feed source horn and a reconfigurable metasurface reflective array, the reconfigurable metasurface reflective array comprises a plurality of metasurface reflective array units which are periodically arranged; the metasurface reflective array unit sequentially comprises a top metal structure layer, a first dielectric substrate, a metal ground, a metal power supply layer, a second dielectric substrate and a bottom metal feed layer; and the top metal structure is loaded with an MOS switch chip. According to the invention, two states of 0 degree and 180 degrees of the phase of the metasurface reflective array unit are realized by controlling the on-off of the MOS switch chip, the state of each metasurface reflective array unit in the reflective array is controlled by the FPGA, beam scanning can be carried out at + / -45 degrees, and compared with a reflective array using a PIN tube as a tuning element, the design of a complex feed network is avoided, and the cost is reduced. The method has the advantages of high beam scanning speed and low power consumption.