930 results about "Spectral efficiency" patented technology

A wireless communication method and system enabling dynamic multi-path data transmission and reception across heterogeneous radio access networks. The method includes selecting between sequential, concurrent, or redundant multipath transmission strategies based on real-time measurements of link quality parameters, including signal-to-interference-plus-noise ratio (SINR), reference signal received power (RSRP), delay, and spectrum availability. The system further enables adaptive transmission power control, modulation scheme selection, and carrier configuration based on physical layer feedback, minimizing interference and optimizing spectral efficiency. Peer-to-peer communication between terminals is supported without base station mediation, reducing RAN load. Multi-base station connectivity is enabled, allowing terminals to simultaneously transmit through multiple nodes and aggregate at the core network. The architecture supports real-time topology control, dynamic link adaptation, and transmission parameter adjustment based on physical-layer constraints.

The invention discloses an Internet of Vehicles communication resource allocation method based on federal multi-agent deep reinforcement learning, and belongs to the technical field of deep crossing of intelligent transportation, wireless communication and distributed machine learning. According to the technical scheme, in an Internet of Vehicles scene, a vehicle is taken as an agent, and local training is performed through a multi-agent depth deterministic strategy gradient algorithm: each agent decides spectrum access, power control and bandwidth allocation based on a local state; asynchronous federation learning is adopted, each agent uploads local model parameters to a global server, weights are dynamically adjusted based on model updating quality, communication quality and updating frequency, and a global model is generated through weighted aggregation; and issuing the updated global model to an intelligent agent to realize distributed privacy protection and dynamic optimization of communication resources. The method has the beneficial effects that the spectrum efficiency, the transmission success rate and the system adaptability are remarkably improved on the premise of ensuring the data security, and the method has wide application prospects and commercial values.

The invention provides a 5G communication method and system based on environmental adaptation, and the method comprises the steps: fusing electromagnetic field intensity distribution, a terminal density thermodynamic diagram and obstacle reflection data through distributed sensing nodes, and generating a dynamic environment sensing matrix. Based on the matrix, establishing a beam pointing model of the motion trail of the user equipment cluster, dynamically adjusting the radiation direction of a beam main lobe, and creating a null region. And in combination with real-time channel multipath phase characteristics, non-uniform interval subcarrier distribution is reconstructed, and multipath phase compensation is carried out. A main lobe radiation direction and a subcarrier distribution mode are integrated into a physical layer structure, and the spatial multiplexing density of a time-frequency resource block is dynamically adjusted according to a service priority. And iteratively optimizing a collaborative matching threshold value of each parameter through closed-loop interaction of a forward channel response feature and a reverse control instruction. According to the invention, the anti-interference capability and the spectrum efficiency of the communication system are improved.

The invention relates to the technical field of wireless communication, in particular to a joint pilot frequency data transmission authorization-free random access method, which comprises the following steps of: constructing a joint pilot frequency data transmission system model in cellular-free large-scale MIMO (Multiple Input Multiple Output), deducing a user spectrum efficiency closed expression, and establishing a maximum and minimum user power allocation optimization problem; reconstructing an objective function and constraint conditions in the optimization problem, constructing an inter-AP power distribution optimization problem model, converting the inter-AP power distribution optimization problem model into an equivalent convex feasibility problem by adopting a bisection method, and performing optimal power distribution; and constructing a constraint condition by using the optimally allocated spectrum efficiency, and solving by using a successive approximation method and an iterative algorithm model by using a maximum non-conflict user number as a target function to obtain a configuration parameter of maximum user number access of the joint pilot frequency data transmission system model. According to the method, multiple scenes of simultaneous access of large-scale users are met, the signal processing overhead is low, the time delay is low, the signal processing complexity is low, the optimal configuration scheme can be optimized, and the feasibility is good.

The invention discloses a time synchronization method suitable for a satellite communication system, and the method comprises the steps: analyzing a forward broadcast signal, and obtaining the reference time of a network clock; constructing a geometric prediction handle based on satellite orbit data, and predicting one-way propagation time delay between a terminal and a satellite by using the geometric prediction handle; estimating the processing delay of the terminal according to the symbol rate and the equipment working condition of the terminal and the delay calibration data; fusing the network clock reference time with the processing delay estimate to synthesize a terminal local time; and the sending time of the return link is calculated based on the local time and the propagation delay prediction. According to the method, the synchronization precision can be improved to a microsecond level, the convergence speed in a dynamic scene is accelerated, adaptive compression of the guard interval is supported, and the stability and spectrum efficiency of a satellite communication system are effectively improved.

Techniques and apparatuses are described for multiple-input multiple-output transmissions using adaptive phase-changing devices. In aspects, a base station selects one or more adaptive phase-changing devices, APDs, to use in at least one communication path for multiple-input, multiple-output, MIMO, transmissions. The base station can perform a channel characterization process for the at least one communication path using the at least one APD and at least one UE. Based on results of the channel characterization process, the base station configures the at least one APD by which to implement single user-MIMO communication with a UE or multiple user-MIMO communication with multiple UEs. By so doing, the base station may implement MIMO transmissions using APDs to communicate with the at least one UE using same time and frequency resources, which can improve spectral efficiency of a wireless network.

The invention provides a dynamic polarization-beam regulation and control anti-interference method and system based on an intelligent metasurface, and relates to the technical field of wireless communication, and the system comprises an intelligent metasurface array, a controller, a channel sensing module and a joint optimization module. By sensing the channel state and interference characteristics in the wireless environment in real time and dynamically adjusting the polarization state and phase configuration of the intelligent metasurface unit, collaborative optimization of a polarization domain and a space domain is achieved, an enhanced propagation path for expected users is formed, meanwhile, an interference source is restrained, and the anti-interference capacity and communication quality of the system are improved. According to the method, a hybrid optimization strategy combining deep reinforcement learning with model driving is adopted, the calculation complexity is reduced, rapid response to a dynamic interference environment is realized, and meanwhile, the spectrum efficiency and the energy efficiency are improved through polarization-beam joint optimization. Through collaborative optimization of a polarization domain and a spatial domain, adaptive response to a complex interference environment is realized, and meanwhile, energy consumption and implementation cost are reduced.

The invention provides a wireless resource scheduling method and device used in a scene in which a mobile phone is directly connected with a satellite, and relates to the technical field of satellite communication, and the method comprises the steps: constructing an electromagnetic map which represents the corresponding relation of a geographic position, a physical resource block and ground interference power in a satellite beam coverage area; link budgeting is carried out on the multiple user terminals in combination with the real-time orbit geometric parameters of the satellite and the electromagnetic map, and the signal to interference plus noise ratio of each user terminal on each physical resource block is predicted; based on the predicted signal to interference plus noise ratio, adopting a proportional fair marginal gain greedy algorithm to allocate an optimal continuous spectrum resource block for each user terminal; on the allocated spectrum resources, optimizing and reallocating the total transmitting power of the satellites by adopting a water injection algorithm; and a final spectrum-power joint scheduling scheme is generated, and subsequent link self-adaption and data transmission are guided. According to the invention, the spectrum efficiency, throughput and connection stability of the system are obviously improved.

An integrated design method for integrated sensing and communication (ISAC) based on superimposed symbols, which enables the linear superposition of communication signals and sensing signals within the same time-frequency resource block in the symbol domain using a power allocation method by generating and transmitting integrated waveforms of superimposed pilots and data, realizing the increase of environmental sensing without loss of communication performance; comprising: transmitting communication perception in the form of superimposed symbols integrated signals, joint design of environmental parameter extraction and communication data detection based on received signals. Compared with the RIS-assisted communication system without sensing function, various embodiments of the present disclosure can obtain accurate environmental sensing accuracy without additional hardware equipment, and at the same time, it can achieve close to the original communication system's spectral efficiency.

Spectral efficiency aware predictive modulation and coding scheme table selection (e.g., using a computerized tool), is enabled. For example, a method can comprise, based on spectral efficiency key performance indicator data, determining, by network equipment comprising a processor, a predicted spectral efficiency applicable to a user equipment, based on fluctuation key performance indicator data, determining, by the network equipment, predicted spectral efficiency fluctuation applicable to the user equipment, based on the predicted spectral efficiency and the predicted spectral efficiency fluctuation, determining, by the network equipment, a predicted spectral efficiency range, and based on the predicted spectral efficiency range, selecting, by the network equipment, a modulation and coding scheme table, for the user equipment, determined to modify a spectral granularity within the predicted spectral efficiency range to satisfy a spectral granularity criterion within the predicted spectral efficiency range.

Methods, systems, and devices for wireless communications are described. A wireless device may perform a probabilistic shaping procedure using a shaping rate that is selected in accordance with a rule associated with a target spectral efficiency value, a modulation order, or both. Similarly, the wireless device may perform a channel coding procedure whose coding rate is selected in accordance with the rule. The rule may correspond to a relationship between the coding rate and the shaping rate. In some cases, the wireless device may select the shaping rate and the coding rate to be predefined values based on a target spectral efficiency value. In some examples, the wireless device may select the shaping rate and the coding rate based on a threshold coding rate, a quantity of punctured nodes used in the channel coding procedure, a quantity of layers corresponding to a multi-layer transmission, or any combination thereof.

A method and device in a node used for wireless communications. A first node first receives a first signaling, receives a first signal in a first time-frequency resource set, and the first time-frequency resource set belongs to a first time-frequency resource pool; then transmits a first information set in a target time-frequency resource set; the first field in the first signaling is used to indicate the target time-frequency resource set out of the second time-frequency resource set and the third time-frequency resource set; the first information set is used to indicate whether the first signal is correctly received; the second time-frequency resource set is related to a location of the first time-frequency resource set in the first time-frequency resource pool. The application improves the transmission efficiency of the sidelink feedback channel to improve the spectrum efficiency on sidelink.

The invention discloses a perception-assisted vortex electromagnetic wave anti-interference method, device and system, and the method comprises the steps: estimating the position information of an interference source based on an interference signal received by a transmitting end through employing an EMUSIC combined RSS algorithm, and obtaining the state information of an interference channel according to the position information; based on known complete channel state information of a receiving and transmitting end, designing a receiving and transmitting joint phase matrix, and eliminating inter-mode interference; according to the estimated interference channel state information, the sending end decomposes an interference signal to each mode, and selects L modes with the minimum interference influence as carriers for multiplexing transmission of L paths of signals; the transmitting end carries out power distribution on the L-path multiplexing signals so as to realize maximum spectrum efficiency under interference; the receiving end carries out modal solution on the received signal and recovers each modal signal so as to realize interference suppression; the problem that the anti-interference effect of vortex electromagnetic wave communication is poor under the condition that interference channel state information is unknown is solved, and the reliability of a communication system is improved.

The invention discloses a rate division multiple access communication network total rate optimization method and system, and belongs to the technical field of communication. The method comprises the following steps: constructing a downlink rate segmentation multiple access communication system model based on an intelligent reflecting surface; the communication system model comprises a base station, an intelligent reflecting surface and a user side; grouping users in the user side, and constructing a hierarchical rate segmentation multiple access model based on user grouping; the hierarchical rate segmentation multiple access model comprises a corresponding relation between the user group and information flow generated by the base station; and according to the hierarchical rate segmentation multiple access model and the intelligent reflecting surface, assisting downlink communication between the base station and the user side. According to the method and the device, the layered rate division multiple access model is constructed by grouping the users, and the system performance is improved by combining the intelligent reflecting surface passive beam forming and the rate division multiple access active beam forming, so that the problems of spectrum resource shortage and signal interference can be solved, and the spectrum efficiency is greatly improved.

The invention discloses a multiplexing method and system for improving 5G mobile communication spectrum efficiency, and belongs to the technical field of dynamic spectrum multiplexing communication. The method comprises the steps of collecting real-time information, predicting spectrum availability and inter-band interference by utilizing a neural network model, generating a dynamic spectrum multiplexing strategy, issuing the strategy, adjusting parameters and continuously monitoring and optimizing. According to the method, an intelligent prediction model fusing MLP and LSTM networks is adopted, spectrum availability and inter-band interference prediction are provided, and prediction confidence information is generated; a self-adaptive multi-target intelligent optimization algorithm is applied, and the algorithm can dynamically adjust and optimize the weight according to a real-time network; local optimality judgment is carried out by combining local real-time information through the intelligent reconstruction capability of the 5G base station; and continuous monitoring and closed-loop optimization are realized by using an online learning mechanism. According to the invention, dynamic intelligent management of 5G network spectrum resources can be realized, and the 5G mobile communication spectrum efficiency is significantly improved.

The invention provides a signal generation method and device and a communication system, and relates to the technical field of wireless communication and terminals. The method comprises the following steps: scattering a to-be-approximated binary keying signal OOK waveform generated based on a low-power wake-up LP-WUS signal to obtain to-be-processed waveforms with different phases; carrying out DFT (Discrete Fourier Transform) pre-coding or LS (Least Squares) optimization on the waveforms to be processed with different phases to obtain frequency domain signals corresponding to the waveforms to be processed; and obtaining a target frequency domain signal with the same frequency domain bandwidth as the LP-WUS signal based on the frequency domain signal. According to the embodiment of the invention, the method can improve the frequency diversity gain and spectrum efficiency of the LP-WUS signal, improves the detection precision and detection efficiency of the LP-WUS signal, improves the receiving synchronism of NR, and reduces the energy loss.

The invention belongs to the technical field of communication, and discloses a channel optimization method and system applied to a multi-band antenna array, and the method comprises the steps: obtaining channel state information; a generative adversarial network is adopted, physical constraints are combined, and channel state information is optimized; inputting the optimized channel state information into a deep reinforcement learning network, dynamically determining a resource allocation strategy, and outputting resource configuration parameters; the resource configuration parameters are fed back to the front-end signal acquisition and noise reduction module in a closed-loop and real-time manner; wherein the generative adversarial network and the deep reinforcement learning network adopt a joint training mode, and intermediate layer feature information of a discriminator of the generative adversarial network serves as additional state information and is input into a strategy network of the deep reinforcement learning network. According to the method, the reliability and the spectrum efficiency of a wireless communication system are improved, the transmission interruption risk in a high-mobility scene is reduced, and a more stable and more efficient communication guarantee is provided for a millimeter wave and Sub-6GHz hybrid networking scene.

The invention relates to the technical field of automatic control, in particular to a control system for a mosquito killing lamp and a control method thereof, and the control system comprises the following modules: a mosquito behavior analysis module, a spectral efficiency analysis module, a trap lamp parameter configuration module, a voltage parameter adjustment module and an automatic counting module. By analyzing the relationship between the mosquito activity number and various environmental conditions, identifying the mosquito activity mode, combining with real-time monitoring of the environmental conditions, optimizing the start-stop parameters and spectral band selection of the mosquito killer lamp, improving the adaptability and trapping effect of the trap lamp, reducing the invalid working time, and improving the efficiency of the trap lamp. Real-time parameter adjustment of a high-voltage power grid, optimization of the working efficiency of the power grid and reduction of energy consumption are achieved by analyzing voltage parameters needed for killing various mosquitoes, the number of trapped mosquitoes is counted in real time by analyzing current changes, the trapping efficiency is evaluated, the working parameters of a lamp and the power grid are dynamically optimized according to a result, and the trapping effect is improved. And the working efficiency and the resource utilization efficiency are improved.

The invention relates to the technical field of spectrum allocation, and discloses a spectrum allocation method applied to a hybrid optical fiber network and a readable storage medium, and the method comprises the steps: building a plurality of spectrum window planes in a modulation format based on the hybrid optical fiber network topology by taking the number of frequency slots required by a to-be-transmitted service as the spectrum width, selecting the shortest path to construct an optical fiber selection scheme, and calculating the transmission cost to select a candidate scheme; and obtaining candidate schemes according to a sequence of modulation format spectrum efficiency from high to low and spectrum window planes from front to back until available routes exist in the obtained candidate schemes, establishing an optical channel, and performing service transmission on the to-be-transmitted service. According to the method, different optical fibers are selected to establish the optical channels, spectrum allocation is more efficiently carried out, the utilization rate and flexibility of spectrum resources are improved, the influence caused by ultra-low loss optical fibers is fully considered, and under the situation of a hybrid optical fiber network, spectrum fragments are reduced, the network blocking rate is effectively reduced, and the network performance is improved.

The invention discloses a beam focusing optimization method based on dense connection expansion self-coding element learning, and relates to the technical field of super-large-scale IRS assistance, and the method comprises the following steps: S1, analyzing a super-large-scale intelligent reflector-assisted multi-user communication system, and obtaining a problem optimization formula; s2, constructing a beam focusing optimization algorithm network based on dense connection expansion self-coding element learning according to a problem optimization formula, and taking a matrix form of a phase shift matrix and a precoding matrix as the input of the beam focusing optimization algorithm network based on dense connection expansion self-coding element learning, and obtaining an optimized pre-coding matrix and an optimized phase shift matrix, and obtaining the maximum spectrum efficiency value of the super-large scale intelligent reflector assisted near field communication system according to the optimized pre-coding matrix and the optimized phase shift matrix. According to the invention, the spectrum efficiency of the system can be improved and the processing overhead of high-dimensional signals can be reduced.

The invention provides a data transmission method and device, and relates to the field of wireless communication. In the method, a sending end can send a plurality of TBs to a receiving end through one process and receive feedback information aiming at the plurality of TBs from the receiving end. In the process, the transmitting and receiving end can transmit a plurality of TBs through one process to prolong the time length of transmitting the TBs through one process, so that more time domain resources corresponding to the RTT between the transmitting and receiving ends can be occupied. Therefore, the receiving and transmitting end does not need to close the HARQ feedback mechanism, the spectrum efficiency of data transmission can be improved, the data transmission rate can be guaranteed, and the data retransmission delay can be reduced.

The invention provides an intelligent metasurface enabled cellular-free large-scale MIMO (Multiple Input Multiple Output) network resource efficiency optimization method. The method comprises the following steps: establishing an intelligent metasurface enabled cellular-free large-scale MIMO network model under a Rician fading channel; based on the cellular-free large-scale MIMO network model, performing channel estimation by using a linear minimum mean square error method; based on the cellular-free large-scale MIMO network model, constructing a resource efficiency closed expression when a maximum ratio merging receiving scheme is used; constructing an optimization problem formula for maximizing the network resource efficiency according to the resource efficiency closed expression; and according to the optimization problem expression, designing an optimization method for cooperatively controlling a user power control coefficient and intelligent metasurface phase shift. The spectrum efficiency and the energy efficiency of the intelligent metasurface energized cellular-free large-scale MIMO network are improved, the compromise between the spectrum efficiency and the energy efficiency is effectively realized, the optimization of the network performance is realized, and an important theoretical support is provided for the development of a 6G Internet of Things network.

The invention discloses a multi-level coding modulation transmitting method suitable for a hybrid automatic repeat request system, which belongs to the wireless communication technology and comprises the following steps of: performing high-code-rate channel coding on a first information bit sequence of a transmitting end to obtain a first coding bit sequence, and performing low-bit-rate coding on the second information bit sequence to obtain a second coded bit sequence. In the first transmission, the first coded bit sequence and the second coded bit sequence are combined and pass through an interleaver to obtain a first transmission bit sequence, and the first transmission bit sequence is modulated to obtain a first transmission modulation symbol sequence; and if the first transmission fails, performing channel coding with a lower code rate on the second group of information bit sequences to obtain a first retransmission bit sequence, and modulating the first retransmission bit sequence to obtain a first retransmission modulation symbol sequence. Compared with a BICM scheme with the same spectrum efficiency, the transmitting method provided by the invention has the advantages that the demodulation and error correction code decoding complexity is greatly reduced, and meanwhile, the performance similar to that of an incremental redundancy HARQ is obtained.

Methods for scheduling mixed type traffics via multiple Transmission / Reception Points (TRPs) are provided. In embodiments disclosed herein, a base station provides, and a wireless device receives, a scheduling information for scheduling the mixed type traffics with different Quality of Service (QoS) requirements via multiple TRPs. In a non-limiting example, the mixed type traffics include an enhanced Mobile Broadband (eMBB) service and an Ultra-Reliable and Low Latency Communication (URLLC) traffic service, and the scheduling information can be conveyed in a single Downlink Control Information (DCI) or a pair of DCIs. As such, it is possible to enable efficient scheduling of both eMBB traffic and URLLC traffics simultaneously. As a result, it is possible to satisfy a reliability requirement of the URLLC service without sacrificing spectral efficiency and / or throughput of the eMBB service.

The invention provides a communication auxiliary sensing system and method based on an intelligent super surface (RIS). The communication auxiliary sensing system comprises a multi-antenna base station, a multi-user terminal and an active RIS. According to the system, an uplink pilot frequency and a data signal are jointly utilized, an expectation maximization (EM) algorithm is adopted to iteratively recover equivalent channel state information (CSI), and a Cramer-Rao bound (CRB) of sensing performance is deduced. Combined optimization of user precoding and RIS reflection coefficients is innovatively proposed under the uncertainty of CSI, so as to minimize CRB and guarantee user communication rate at the same time. An original problem is converted into a processable form by establishing a traversal MIMO spectrum efficiency compact lower bound, and efficient optimization is realized by combining a WMMSE method with a block coordinate descent (BCD) frame. According to the scheme, the sensing precision and the spectrum efficiency are remarkably improved, the method is suitable for an active RIS-assisted MU-MIMO network, and the technology can also be expanded to a traditional RIS-free system.

The invention provides a signal modulation method and a related device, and the method comprises the steps: obtaining a first symbol sequence, carrying out the single-carrier modulation of the first symbol sequence, enabling the phase difference between two adjacent symbols in the first symbol sequence to be 90 degrees, enabling the single-carrier modulation to comprise the frequency spectrum adjustment based on a first scaling factor and the frequency domain spectrum shaping FDSS, the spectrum adjustment comprises spectrum compression; and determining a signal generated after the first symbol sequence is subjected to single-carrier modulation. According to the method, the first symbol sequence with the phase difference of 90 degrees between two adjacent symbols is subjected to single-carrier modulation, a single-carrier modulation scheme for performing frequency spectrum compression in a frequency domain is provided, the frequency spectrum efficiency is improved, and a single-carrier signal with low PAPR is generated.

Relay-aided intelligent reconfigurable surfaces (IRSs) are provided. A novel relay-aided intelligent surface architecture is described herein that has the potential of achieving the promising gains of IRSs with a much smaller number of elements, opening the door for realizing these surfaces in practice. A half-duplex or full-duplex relay is connected to one or more IRSs. This merges the gains of relays and reconfigurable surfaces and splits the required signal-to-noise ratio (SNR) gain between them. This architecture can then significantly reduce the required number of reconfigurable elements in the IRS(s) while achieving the same spectral efficiencies. Consequently, the proposed relay-aided intelligent surface architecture needs far less channel estimation / beam training overhead and provides enhanced robustness compared to traditional IRS solutions.

The invention discloses an event flow assisted link self-adaption method and system oriented to the Internet of Vehicles, and belongs to the field of link self-adaption of the Internet of Vehicles, and the method comprises the steps: obtaining event flow data; inputting the event stream data into the trained depth estimation model to obtain the environment depth under the current time step; calculating the distance between the base station and the user equipment based on the event stream data and the environment depth under the current time step; and based on the distance between the base station and the user equipment, estimating a channel state and calculating a coding rate under the current time step so as to complete link self-adaption. According to the invention, dynamic sensing of the distance between the BS and the UE is realized by using the space-time correlation of the event stream, the time delay defect of a traditional feedback mechanism is overcome, the problem of inaccurate channel acquisition caused by traditional outdated feedback information is solved through visual information, the model calculation complexity is reduced, the coding rate performance is improved, and the spectrum efficiency is further improved.

The invention provides a satellite communication robust access method based on frequency hopping, and the method comprises the steps: a terminal recognizes interfered frequency points through an outlier detection algorithm, distributes an abandoning probability for the interfered frequency points, and screens a frequency hopping frequency set; calculating a frequency hopping interval according to the number of the users, the interference intensity and channel coherent bandwidth optimization; encoding data to be transmitted by adopting an LT code to generate an LT encoded data packet; the terminal sends an uplink access request to the satellite, if the access fails, the load threshold and the backoff time are optimized according to the priority, and the uplink access request is sent again after waiting for the backoff time; transmitting an LT coded data packet based on the optimized frequency hopping frequency set and the optimized frequency hopping interval; and the satellite receives and analyzes the LT coded data packet. Therefore, reliability and spectrum efficiency can be taken into consideration, meanwhile, self-adaption can be carried out according to the external environment, and the service requirements of different users can be met.

According to the intelligent frequency spectrum prediction system and method with the dynamic anti-interference function, through the lightweight AI prediction model deployed in the embedded terminal, prospective accurate prediction of the future frequency spectrum hole probability is achieved, and the time delay defect of traditional passive detection is overcome; through an interference identification and classification module, fine identification of an interference source is realized, and a basis is provided for a differential anti-interference strategy; dynamic global optimization of communication parameters is realized through fusion of a utility function decision mechanism of a prediction result, interference information and historical quality and GFSK / QPSK adaptive modulation switching, and optimal balance is obtained between noise immunity and spectrum efficiency; through maintenance of the pre-switching channel pool and a microsecond-level rapid switching mechanism, challenges brought by strong interference burst and high-speed moving scenes are effectively dealt with, and continuity and high reliability of communication are ensured.