Tablet computer wireless communication method and device and terminal equipment

Abstract

The invention provides a tablet computer wireless communication method and device and terminal equipment, and is suitable for the technical field of wireless communication.The method comprises the steps that according to tablet computer wireless channel identification information, tablet computer wireless channel space information, wireless communication channel state characterization information and tablet computer wireless communication channel adaptation parameter information, the tablet computer wireless communication channel adaptation parameter information is matched with the tablet computer wireless channel identification information, the tablet computer wireless channel space information and the wireless communication channel state characterization information; generating candidate tablet computer wireless communication channel parameter combination information; screening and optimizing the candidate tablet computer wireless communication channel parameter combination information to generate target tablet computer wireless communication channel parameter combination information; and performing channel search according to the target tablet computer wireless communication channel parameter combination information to obtain target tablet computer wireless communication channel identification information, so that the tablet computer performs wireless communication through a tablet computer wireless communication channel corresponding to the target tablet computer wireless communication channel identification information. The application dynamically adapts to the wireless communication environment change, and improves the stability and efficiency of concurrent communication of the tablet personal computer.

Description

Technical Field

[0001] The present application belongs to the field of wireless communication technology, and in particular relates to a wireless communication method, apparatus, and terminal device for a tablet computer. Background Art

[0002] With the rapid development of the Internet of Things (IoT) and 5G / 6G technologies, multi-device wireless communication scenarios are becoming increasingly complex. High-density deployment of smart devices such as tablets places higher demands on the stability and reliability of wireless channels. Traditional wireless communication technologies primarily rely on fixed channel allocation strategies, such as those based on the Wi-Fi Alliance's Channel Optimization Protocol (WFA COV) or IEEE 802.11ax's Orthogonal Frequency Division Multiple Access (OFDMA). While these technologies improve spectrum utilization to a certain extent, they still struggle to achieve adaptive optimization in the face of dynamically changing interference environments and device spatial distribution.

[0003] Existing technologies use fast Fourier transform and wavelet transform to extract frequency domain features, and use Kalman filtering or long short-term memory networks to capture the temporal correlation of channels.

[0004] However, traditional fast Fourier transform and wavelet transform have difficulty effectively distinguishing weak signal characteristics in strong interference environments, resulting in deviations in channel quality assessment. Faced with rapidly changing interference sources and mobile devices, the existing solutions have high channel switching delays, resulting in increased communication interruption rates and difficulty adapting to the dynamic needs of different application scenarios. Summary of the Invention

[0005] In view of this, embodiments of the present application provide a tablet computer wireless communication method, apparatus, and terminal device, aiming to solve the problems of insufficient frequency domain feature extraction accuracy and poor adaptability to dynamic environments in the prior art.

[0006] A first aspect of an embodiment of the present application provides a wireless communication method for a tablet computer, including:

[0007] Acquire multiple tablet computer wireless communication channel adaptation parameter information, multiple tablet computer wireless channel identification information, multiple tablet computer wireless channel space information, and multiple wireless communication channel state representation information;

[0008] Performing frequency domain feature extraction and spatiotemporal feature extraction on the multiple tablet computer wireless channel spatial information and the multiple wireless communication channel state representation information to obtain multiple tablet computer wireless channel frequency domain feature information and multiple tablet computer wireless channel spatiotemporal feature information; the tablet computer wireless channel frequency domain feature information, the tablet computer wireless channel spatiotemporal feature information, and the tablet computer wireless channel identification information have a one-to-one correspondence;

[0009] Generate multiple candidate tablet computer wireless communication channel parameter combination information according to the multiple tablet computer wireless channel identification information, the multiple tablet computer wireless channel frequency domain characteristic information, the multiple tablet computer wireless channel time and space characteristic information, and the multiple tablet computer wireless communication channel adaptation parameter information;

[0010] Screening and optimizing the plurality of candidate tablet computer wireless communication channel parameter combination information to generate target tablet computer wireless communication channel parameter combination information;

[0011] Channel search is performed according to the target tablet computer wireless communication channel parameter combination information to obtain the target tablet computer wireless communication channel identification information, so that the tablet computer can perform wireless communication through the tablet computer wireless communication channel corresponding to the target tablet computer wireless communication channel identification information.

[0012] A second aspect of the embodiments of the present application provides a tablet computer wireless communication device, including:

[0013] An information acquisition module is used to obtain multiple tablet computer wireless communication channel adaptation parameter information, multiple tablet computer wireless channel identification information, multiple tablet computer wireless channel space information and multiple wireless communication channel state representation information;

[0014] a tablet computer wireless channel characteristic information generation module, configured to perform frequency domain feature extraction and spatiotemporal feature extraction on the plurality of tablet computer wireless channel spatial information and the plurality of wireless communication channel state representation information, to obtain a plurality of tablet computer wireless channel frequency domain feature information and a plurality of tablet computer wireless channel spatiotemporal feature information; the tablet computer wireless channel frequency domain feature information, the tablet computer wireless channel spatiotemporal feature information, and the tablet computer wireless channel identification information in a one-to-one correspondence;

[0015] a candidate tablet computer wireless communication channel parameter combination information generation module, configured to generate a plurality of candidate tablet computer wireless communication channel parameter combination information based on the plurality of tablet computer wireless channel identification information, the plurality of tablet computer wireless channel frequency domain characteristic information, the plurality of tablet computer wireless channel time and space characteristic information, and the plurality of tablet computer wireless communication channel adaptation parameter information;

[0016] a target tablet computer wireless communication channel parameter combination information generation module, configured to screen and optimize the plurality of candidate tablet computer wireless communication channel parameter combination information to generate the target tablet computer wireless communication channel parameter combination information;

[0017] The target tablet computer wireless communication channel identification information generation module is used to perform channel search based on the target tablet computer wireless communication channel parameter combination information to obtain the target tablet computer wireless communication channel identification information so that the tablet computer can perform wireless communication through the tablet computer wireless communication channel corresponding to the target tablet computer wireless communication channel identification information.

[0018] A third aspect of an embodiment of the present application provides a terminal device, which includes a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor executes the computer program, it implements the steps of the tablet computer wireless communication method described in the first aspect above.

[0019] A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, comprising: a computer program stored therein, wherein when the computer program is executed by a processor, the steps of the tablet computer wireless communication method described in the first aspect are implemented.

[0020] Compared with the prior art, the embodiments of the present application have the following beneficial effects: the present application deeply captures and mines the multi-dimensional key features of the wireless channel, retains effective information and suppresses interference, enables the tablet computer to quickly adapt to the optimal wireless communication channel in a complex environment, improves communication stability and efficiency, meets the needs of scenarios such as multi-device collaboration, balances communication quality and equipment energy consumption, and provides reliable communication support for diversified tablet application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0022] Figure 1 This is a schematic diagram of the implementation flow of the wireless communication method for a tablet computer provided in the first embodiment of the present application;

[0023] Figure 2 This is a schematic diagram of the implementation flow of the wireless communication method for a tablet computer provided in the second embodiment of the present application;

[0024] Figure 3 This is a schematic diagram of the implementation flow of the wireless communication method for a tablet computer provided in Example 3 of the present application;

[0025] Figure 4 This is a schematic diagram of the implementation flow of the wireless communication method for a tablet computer provided in the fourth embodiment of the present application;

[0026] Figure 5This is a schematic diagram of the implementation flow of the wireless communication method for a tablet computer provided in Example 5 of the present application;

[0027] Figure 6 This is a schematic diagram of the implementation flow of the wireless communication method for a tablet computer provided in Example 6 of the present application;

[0028] Figure 7 This is a schematic diagram of the implementation flow of the wireless communication method for a tablet computer provided in Example 7 of the present application;

[0029] Figure 8 1 is a schematic structural diagram of a tablet computer wireless communication device provided in an embodiment of the present application;

[0030] Figure 9 It is a schematic diagram of the terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0032] In order to illustrate the technical solution described in this application, specific embodiments are provided below.

[0033] Figure 1 The following is a flowchart of the implementation of the wireless communication method for a tablet computer provided in the first embodiment of the present application, which is described in detail as follows:

[0034] Step S101: Acquire multiple tablet computer wireless communication channel adaptation parameter information, multiple tablet computer wireless channel identification information, multiple tablet computer wireless channel space information, and multiple wireless communication channel state representation information.

[0035] In this embodiment, the tablet computer's wireless communication channel adaptation parameter information may refer to dynamically adjustable wireless communication parameters that directly affect signal transmission quality and efficiency. These parameters may include transmit power, spatial beam direction angle, and power control step size. Transmit power refers to the power intensity of the tablet computer's transmitted signal, measured in dBm. This value can be directly read from the tablet computer's wireless network card driver API, or estimated based on the received signal strength indicator (RSSI) combined with a path loss model. The spatial beam direction angle may be the main lobe radiation angle of a directional antenna used for wireless communication within the tablet computer's multi-antenna array. This value can be calculated from the phase difference of the multi-antenna array and obtained through MIMO channel state information (CSI) feedback. The power control step size refers to the minimum change in transmit power, measured in dB. This value can be read from the tablet computer's wireless configuration file or dynamically learned from historical power adjustment results. Tablet computer wireless channel identification information can be used to uniquely distinguish different wireless channels. This information may include: the physical channel number, such as Wi-Fi 2.4GHz band channels (1-14) or 5GHz band channels (36-165); the center frequency (MHz), which is the central operating frequency of the channel; and the bandwidth (such as 20MHz, 40MHz, or 80MHz). Tablet computer wireless channel identification information can be obtained by scanning the surrounding wireless environment and parsing the channel information field in beacon frames. It can also be determined through negotiation with the access point (AP) through the Probe Request / Response mechanism, or by obtaining the current configuration from the wireless network card driver. Tablet computer wireless channel spatial information can be used to describe the channel's spatial characteristics, including signal arrival angle, signal departure angle, spatial correlation, and path loss exponent. The signal arrival angle refers to the direction of signal propagation from the transmitter to the receiver. The signal departure angle refers to the main direction of signal radiation from the transmitter, which can be estimated by calculating the phase difference of the multi-antenna array using algorithms such as MUSIC (Multiple Signal Classification) or ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques). Spatial correlation refers to the degree of correlation between signals between multiple antennas, which can be calculated using the channel state information (CSI) by analyzing the covariance matrix of the multi-antenna received signals. The path loss index refers to the coefficient that describes the attenuation of signal strength with distance. It is related to the spatial environment and can be obtained by least squares fitting based on the measurement data of RSSI changes with distance.Wireless communication channel state characterization information can refer to comprehensive indicators reflecting the real-time quality and performance of the channel, and can include signal-to-noise ratio (SNR), bit error rate (BER), channel capacity, interference intensity, and multipath fading characteristics. The SNR refers to the ratio of signal power to noise power, which can be distinguished by estimating the power spectral density of the received signal. The BER refers to the ratio of the number of transmitted error bits to the total number of bits, which can be calculated by sending a known test sequence and counting the number of error bits at the receiving end. The channel capacity refers to the maximum transmission rate derived from the Shannon formula, which can be calculated based on the SNR and bandwidth using the Shannon formula. The interference intensity refers to the interference level from other wireless devices or natural noise, which can be estimated by estimating the power spectral density of the received signal. Multipath fading characteristics can include fade depth, coherence bandwidth, etc., which can be measured by the channel impulse response (CIR) and analyzed using the cyclic prefix or dedicated sounding sequence of the OFDM system.

[0036] Step S102: performing frequency domain feature extraction and spatiotemporal feature extraction on the spatial information of the multiple tablet computer wireless channels and the multiple wireless communication channel state representation information to obtain frequency domain feature information of the multiple tablet computer wireless channels and spatiotemporal feature information of the multiple tablet computer wireless channels; the frequency domain feature information of the tablet computer wireless channels, the spatiotemporal feature information of the tablet computer wireless channels, and the tablet computer wireless channel identification information correspond one to one.

[0037] In this embodiment, data preprocessing may be performed first on the wireless channel spatial information of multiple tablet computers and the state characterization information of multiple wireless communication channels. The original data corresponding to the wireless channel identification information of each tablet computer may be divided according to a fixed time window. Each window contains sampling data of multiple consecutive time slots. At the same time, outliers and noise interference are removed to ensure the integrity and stability of the data. In the calculation of frequency domain feature extraction, the time domain signal in the channel state characterization information within each time window can be processed first. The time domain signal is first zero-mean processed to eliminate the influence of the DC component, and then the Hanning window function is applied to perform a windowing operation to reduce spectrum leakage. The time domain signal is then converted into a frequency domain signal through a fast Fourier transform to obtain the amplitude and phase information of each frequency component. The amplitude spectrum is then calculated based on the frequency domain signal to obtain the power spectrum density, which is used to reflect the power distribution of different frequency components. The entire frequency range is then divided into several non-overlapping sub-bands, and the total power in each sub-band is calculated and converted into a proportion of the total power to obtain the frequency band energy feature. At the same time, the global maximum value of the power spectrum density and its corresponding frequency index are extracted. This information is combined to form multiple frequency domain feature information of tablet computer wireless channels, and each frequency domain feature information is associated with the corresponding tablet computer wireless channel identification information. In the calculation of spatiotemporal feature extraction, temporal feature extraction can be performed by first calculating the statistical features within each window of the time window sequence corresponding to each tablet computer wireless channel identification information, including mean, variance, maximum, minimum, first-order difference mean, etc., to capture the change trend and stability of the signal in the time dimension; spatial feature extraction can be performed by first combining the tablet computer wireless channel spatial information, converting the signal arrival angle and signal departure angle into an angle coding vector, combining the path loss index and spatial correlation to construct a spatial feature vector, and then fusing the temporal feature vector with the spatial feature vector. The feature dimension is expanded through a vector outer product operation to capture the interaction between the temporal and spatial dimensions to form the spatiotemporal features corresponding to each time window. The spatiotemporal features of all windows are then arranged in sequence to obtain multiple spatiotemporal feature information of the tablet computer wireless channels. Each spatiotemporal feature information is also associated with the corresponding tablet computer wireless channel identification information, thereby ensuring that each tablet computer wireless channel frequency domain feature information and each tablet computer wireless channel spatiotemporal feature information correspond one-to-one to the corresponding tablet computer wireless channel identification information, providing structured feature data for the subsequent generation of candidate tablet computer wireless communication channel parameter combination information.

[0038] Step S103 : generating a plurality of candidate tablet computer wireless communication channel parameter combination information according to the plurality of tablet computer wireless channel identification information, the plurality of tablet computer wireless channel frequency domain characteristic information, the plurality of tablet computer wireless channel spatiotemporal characteristic information, and the plurality of tablet computer wireless communication channel adaptation parameter information.

[0039] In this embodiment, the tablet computer wireless channel identification information can be first used as a basic dimension, and combined with the transmit power, spatial beam direction angle, and power control step size in the tablet computer wireless communication channel adaptation parameter information to form a parameter set to be combined. Each parameter has a preset value range, such as 5-20dBm for transmit power, 0-360 degrees for spatial beam direction angle, etc., and then, for the frequency domain feature information, the frequency band energy proportion, power spectrum density peak and other indicators corresponding to each tablet computer wireless channel identification information are extracted to screen out channel identifications with low interference intensity and high signal-to-noise ratio; for the spatiotemporal feature information, according to the characteristics of time series stability, spatial correlation and other characteristics, the channel identifications with stable signal quality and small spatial interference are retained to form a preliminary valid tablet computer wireless channel identification information subset, and then each tablet computer wireless channel identification information in the valid subset is selected. Identification information is used to match the corresponding tablet computer wireless communication channel adaptation parameter information for combination. During the combination process, the initial value of the transmission power can be adjusted according to the frequency band energy distribution in the frequency domain feature information. For example, a channel with a high proportion of high-frequency band energy corresponds to a higher transmission power. The spatial beam direction angle is optimized according to the signal arrival angle in the spatiotemporal feature information, such as aligning the beam direction with the main propagation direction of the signal. Multiple gradient values ​​are generated at preset intervals of the power control step to form multiple groups of parameter combinations. Finally, the generated parameter combinations are deduplicated and preliminarily feasibility checked to eliminate combinations that exceed the parameter value range or obviously do not meet the communication standards, such as combinations that do not match the bandwidth and channel identifier. A preset number of combinations are retained as multiple candidate tablet computer wireless communication channel parameter combination information, and each combination is associated with the corresponding tablet computer wireless channel identification information to ensure that the subsequent optimization process is traceable.

[0040] Step S104 : screening and optimizing the plurality of candidate tablet computer wireless communication channel parameter combination information to generate target tablet computer wireless communication channel parameter combination information.

[0041] In this embodiment, a comprehensive score may be assigned to each candidate tablet computer wireless communication channel parameter combination information based on the frequency band energy characteristics and power spectrum density in the frequency domain characteristic information of the wireless channels of multiple tablet computers, and the time series stability and spatial correlation in the spatiotemporal characteristic information of the wireless channels of multiple tablet computers, combined with three core indicators of signal quality, power efficiency, and communication stability. Among them, signal quality is associated with the signal-to-noise ratio and interference intensity, power efficiency is associated with the ratio of transmission power to channel capacity, and communication stability is associated with the degree of signal fluctuation in the spatiotemporal characteristics. Then, an initial screening is performed, and the candidate tablet computer wireless communication channel parameter combination information with a higher comprehensive score is retained as the initial optimization set. For each combination in the initial optimization set, a local fine-tuning is first performed: within the frequency range corresponding to the current channel identifier, the transmit power is fine-tuned according to the gradient change of the power control step, and the spatial beam direction angle is slightly corrected based on the deviation adjustment of the signal arrival angle, while keeping the modulation coding method and bandwidth and other parameters unchanged, generating adjacent fine-tuning combinations, and recalculating the comprehensive score. The combination with improved score is retained, and then a global exploration mechanism is introduced to avoid being limited to the local optimum. This can be for combinations with low scores after local adjustment, re-matching the new tablet computer wireless channel identification information, and regenerating the transmit power, spatial beam direction angle, power control step and other parameters based on the frequency domain feature information and spatiotemporal feature information corresponding to the new identifier. A new candidate combination is formed, added to the optimization set and the comprehensive score is calculated. Subsequently, the local adjustment and global exploration process is repeated. After each round of iteration, several combinations with the highest comprehensive scores are retained, and the combinations with the lowest scores are eliminated to ensure that the optimization set always contains high-quality candidates. During the iteration process, the scope of local adjustment can be gradually narrowed, such as reducing the adjustment amplitude of the transmission power and lowering the correction angle of the beam direction. At the same time, the frequency of global exploration is reduced, so that the focus of optimization shifts from extensive search to fine optimization. When the number of iterations reaches the preset value or the combination with the highest comprehensive score no longer changes in multiple consecutive rounds of iterations, the optimization process is stopped and the combination is used as the target tablet computer wireless communication channel parameter combination information. The parameters contained in it, such as tablet computer wireless channel identification information, transmission power, spatial beam direction angle, power control step size, etc., all meet the requirements of excellent signal quality, high power efficiency and strong communication stability.

[0042] Step S105 , performing channel search according to the target tablet computer wireless communication channel parameter combination information to obtain target tablet computer wireless communication channel identification information, so that the tablet computer can perform wireless communication through the tablet computer wireless communication channel corresponding to the target tablet computer wireless communication channel identification information.

[0043] In this embodiment, the wireless communication channel parameter combination information of the target tablet computer may be parsed first, and key parameters such as the tablet computer wireless channel identification information, transmission power, spatial beam direction angle, power control step size, etc. contained therein may be extracted to clarify the specific scope and constraint conditions of the channel search. Then, based on the extracted tablet computer wireless channel identification information, the channel scanning mechanism of the tablet computer may be started to perform targeted scanning on the frequency band corresponding to the identification information. During the scanning process, the RF module configuration of the tablet computer may be adjusted in combination with the transmission power and spatial beam direction angle in the target parameter combination so that the signal transmission of the tablet computer meets the target parameter requirements. At the same time, multiple wireless communication channel status characterization information of the channel may be collected in real time, including signal-to-noise ratio, interference strength, bit error rate, etc., and then the multiple wireless communication channel status characterization information collected in real time may be combined with the wireless communication channel parameter combination of the target tablet computer. The real-time status characterization information is compared with the historical characteristic information associated with the information. If the real-time status characterization information meets the preset communication quality threshold, such as the signal-to-noise ratio is not less than 90% of the historical optimal value and the interference intensity is not more than 110% of the historical value, the channel corresponding to the tablet computer's wireless channel identification information is confirmed to be currently available. If the real-time status characterization information does not meet the threshold requirements, the transmit power is adjusted according to the power control step size in the target parameter combination, and the spatial beam direction angle is fine-tuned. The channel corresponding to the tablet computer's wireless channel identification information is scanned and status collected again, and the comparison process is repeated. If the threshold requirements are still not met after multiple adjustments, the tablet computer wireless channel identification information with characteristics closest to the target is screened from adjacent channels based on the frequency domain characteristic information and spatiotemporal characteristic information of multiple tablet computer wireless channels associated with the target parameter combination, and the above scanning and comparison steps are repeated. When a channel that meets the communication quality threshold is found, the corresponding tablet computer wireless channel identification information is determined as the target tablet computer wireless communication channel identification information, and the tablet computer can communicate wirelessly through the tablet computer wireless communication channel corresponding to this identification information.

[0044] The tablet computer wireless communication method provided in the embodiment of the present application deeply captures and mines the multi-dimensional key features of the wireless channel, retains effective information and suppresses interference, enables the tablet computer to quickly adapt to the optimal wireless communication channel in a complex environment, improves communication stability and efficiency, meets the requirements of scenarios such as multi-device collaboration, balances communication quality and device energy consumption, and provides reliable communication support for diverse tablet application scenarios.

[0045] Figure 2 The following is a flowchart of a wireless communication method for a tablet computer provided in the second embodiment of the present application. The difference between the second embodiment and the first embodiment is that:

[0046] The tablet computer wireless channel spatial information includes tablet computer wireless channel signal incident angle information and tablet computer wireless channel transmission node position information;

[0047] The wireless communication channel state characterization information includes wireless channel signal strength characterization information, wireless channel interference strength characterization information and wireless channel signal rate characterization information;

[0048] The step S102 specifically includes:

[0049] Step S201, based on the preset wireless channel sampling timing window length and the preset wireless channel information sampling timing window sliding step, the multiple wireless channel signal strength characterization information, the multiple wireless channel interference strength characterization information and the multiple wireless channel signal rate characterization information are time-series sampled to obtain multiple wireless channel signal strength timing information, multiple wireless channel interference strength timing information and multiple wireless channel signal rate timing information.

[0050] In this embodiment, the preset wireless channel sampling timing window length and the preset wireless channel information sampling timing window sliding step size can both be manually set. The preset wireless channel sampling timing window length can be set to 50ms, and the preset wireless channel information sampling timing window sliding step size can be set to 20ms. The continuously collected multiple wireless channel signal strength characterization information, multiple wireless channel interference strength characterization information, and multiple wireless channel signal rate characterization information can be segmented and intercepted. Each time a step size is slid, a time series sequence containing all sampling points within the window is generated, thereby obtaining multiple wireless channel signal strength timing information, multiple wireless channel interference strength timing information, and multiple wireless channel signal rate timing information, thereby preserving the dynamic changes in the channel state. Wireless channel signal strength information can be used to quantify wireless signal strength, typically reflecting signal attenuation during transmission. This information can be obtained through the tablet operating system's built-in interfaces, such as the WifiManager class in Android and the CoreWLAN framework in iOS, which can directly read the RSSI value of Wi-Fi signals. Signal strength measurements can also be directly output by the tablet's wireless network card chip. Wireless channel interference intensity information refers to the impact of other signals in the wireless channel, such as co-channel interference, adjacent channel interference, and noise, on communication. Stronger interference indicates poorer channel quality. A frequency analyzer or a spectrum analysis app on a tablet can be used to measure the strength and frequency distribution of non-target signals within the channel. Some wireless chips support interference detection, and can calculate interference intensity by analyzing components in the received signal that do not match the characteristics of the target signal. Wireless channel signal rate information refers to the data transmission rate of the wireless signal within the channel. This can include both the physical layer rate and the application layer rate, and can be used to reflect the channel's data transmission capacity. The physical layer rate can be the modulation and demodulation rate, while the application layer rate can be the actual download or upload rate. The physical layer rate can be read through the tablet's wireless network card parameters, such as the rate under the Wi-Fi 802.11 protocol (150Mbps, 866Mbps, etc.), which can be viewed in the device connection information. The application layer rate can be measured using speed test software to measure the actual data transmission rate, or by viewing the current network's real-time upload / download speed through the system task manager. Wireshark packet capture analysis can also be used to calculate the size of the data packet transmitted per unit time and convert it into a rate value.

[0051] Step S202: Calculate the mean, variance, maximum, and first-order difference mean of the multiple wireless channel signal strength time series information to obtain wireless channel signal strength time series mean information, wireless channel signal strength time series variance information, wireless channel signal strength time series maximum information, and wireless channel signal strength time series difference mean information.

[0052] In this embodiment, for each wireless channel signal strength timing information, the arithmetic mean of all sampling points can be calculated to obtain the wireless channel signal strength timing mean information, the average of the sum of the squares of the deviations of each sampling point from the mean can be calculated to obtain the wireless channel signal strength timing variance information, the maximum and minimum values ​​in the sequence can be extracted as the wireless channel signal strength timing maximum value information, and the average of the differences between adjacent sampling points can be calculated to obtain the wireless channel signal strength timing difference mean information, thereby characterizing the timing characteristics of the channel signal strength from four dimensions: overall level, degree of fluctuation, extreme value, and rate of change.

[0053] Step S203 , performing splicing processing on the wireless channel signal strength time series mean information, the wireless channel signal strength time series variance information, the wireless channel signal strength time series maximum value information, and the wireless channel signal strength time series difference mean information to generate wireless channel signal strength time series feature information.

[0054] In this embodiment, the wireless channel signal strength time series mean information, the wireless channel signal strength time series variance information, the wireless channel signal strength time series maximum value information (maximum value in front, minimum value in the back), and the wireless channel signal strength time series difference mean information can be sequentially spliced ​​into a continuous feature vector to form the wireless channel signal strength time series feature information, thereby realizing the structured integration of the signal strength time series characteristics.

[0055] Step S204, calculate the mean, variance, maximum and first-order difference mean of the multiple wireless channel interference strength time series information to obtain the wireless channel interference strength time series mean information, wireless channel interference strength time series variance information, wireless channel interference strength time series maximum information and wireless channel interference strength time series difference mean information.

[0056] In this embodiment, for each wireless channel interference intensity time series information, the wireless channel interference intensity time series mean information can be obtained respectively to reflect the average interference level; the wireless channel interference intensity time series variance information can be obtained to reflect the degree of interference fluctuation; the wireless channel interference intensity time series maximum value information can be obtained to reflect the interference peak and valley values; the wireless channel interference intensity time series difference mean information can be obtained to reflect the interference change trend), thereby comprehensively quantifying the time series characteristics of the interference.

[0057] Step S205 , performing splicing processing on the wireless channel interference strength time series mean information, the wireless channel interference strength time series variance information, the wireless channel interference strength time series maximum value information, and the wireless channel interference strength time series difference mean information to generate wireless channel interference strength time series feature information.

[0058] In this embodiment, the wireless channel interference intensity time series mean information, the wireless channel interference intensity time series variance information, the wireless channel interference intensity time series maximum value information (maximum value in front, minimum value in the back), and the wireless channel interference intensity time series differential mean information can be spliced ​​into a single feature vector in a fixed order to generate wireless channel interference intensity time series feature information, thereby realizing centralized characterization of interference time series characteristics.

[0059] Step S206, calculate the mean, variance, maximum and first-order difference mean of the multiple wireless channel signal rate timing information to obtain wireless channel signal rate timing mean information, wireless channel signal rate timing variance information, wireless channel signal rate timing maximum information and wireless channel signal rate timing difference mean information.

[0060] In this embodiment, the wireless channel signal rate timing mean information is obtained by calculating the average of all sampling points, the fluctuation degree is calculated to obtain the wireless channel signal rate timing variance information, the maximum rate and the minimum rate are extracted as the wireless channel signal rate timing maximum value information, and the average of the adjacent rate differences is calculated to obtain the wireless channel signal rate timing difference mean information, thereby characterizing the channel performance from the perspective of transmission capacity stability.

[0061] Step S207 , performing concatenation processing on the wireless channel signal rate time series mean information, the wireless channel signal rate time series variance information, the wireless channel signal rate time series maximum information, and the wireless channel signal rate time series difference mean information to generate wireless channel signal rate time series feature information.

[0062] In this embodiment, the wireless channel signal rate timing mean information, the wireless channel signal rate timing variance information, the wireless channel signal rate timing maximum information (maximum value in front, minimum value in the back), and the wireless channel signal rate timing difference mean information can be sequentially spliced ​​into a feature vector to generate wireless channel signal rate timing feature information and integrate the multi-dimensional timing attributes of the signal rate.

[0063] Step S208, perform attenuation smoothing processing on the wireless channel signal strength timing information, wireless channel signal strength timing mean information, wireless channel interference strength timing information, wireless channel interference strength timing mean information, wireless channel signal rate timing information, and wireless channel signal rate timing mean information to obtain wireless channel signal strength timing attenuation smoothing information, wireless channel interference strength timing attenuation smoothing information, and wireless channel signal rate timing attenuation smoothing information.

[0064] In this embodiment, an exponential decay smoothing method can be used to process the wireless channel signal strength time series information, the wireless channel signal strength time series mean information, the wireless channel interference strength time series information, the wireless channel interference strength time series mean information, the wireless channel signal rate time series information, and the wireless channel signal rate time series mean information, giving higher weight to recent data, weakening the impact of long-term data, and filtering out high-frequency noise, to obtain the smoothed wireless channel signal strength time series attenuation smoothed information, the wireless channel interference strength time series attenuation smoothed information, and the wireless channel signal rate time series attenuation smoothed information, respectively, highlighting the long-term change trend.

[0065] Step S209, performing time-frequency domain conversion processing on the wireless channel signal strength time-series attenuation smoothing information, the wireless channel interference strength time-series attenuation smoothing information, and the wireless channel signal rate time-series attenuation smoothing information to obtain wireless channel signal strength frequency domain information, wireless channel interference strength frequency domain information, and wireless channel signal rate frequency domain information.

[0066] In this embodiment, the time-frequency domain conversion processing can be implemented by using fast Fourier transform, and time-frequency domain conversion is performed on the wireless channel signal strength time-series attenuation smoothing information, the wireless channel interference strength time-series attenuation smoothing information, and the wireless channel signal rate time-series attenuation smoothing information. The amplitude-time relationship in the time domain can be converted into the amplitude-frequency relationship in the frequency domain to obtain the wireless channel signal strength frequency domain information, which is used to reflect the signal strength distribution at different frequencies; the wireless channel interference strength frequency domain information, which is used to reflect the frequency component of the interference; and the wireless channel signal rate frequency domain information, which is used to reflect the correlation characteristics between the rate and the frequency.

[0067] Step S210 , performing structured feature extraction on the wireless channel signal strength frequency domain information, the wireless channel interference strength frequency domain information, and the wireless channel signal rate frequency domain information to obtain frequency domain feature information of wireless channels of a plurality of tablet computers.

[0068] In this embodiment, the power and bandwidth ratio of the main frequency component can be extracted from the wireless channel signal strength frequency domain information, the interference peak frequency and interference bandwidth can be extracted from the wireless channel interference strength frequency domain information, and the rate-sensitive frequency interval can be extracted from the wireless channel signal rate frequency domain information. These parameters are grouped according to the channel identifier to form multiple tablet computer wireless channel frequency domain feature information, and each feature information is bound to the corresponding tablet computer wireless channel identifier information.

[0069] Step S211, obtaining multiple tablet computer wireless channel spatiotemporal characteristic information based on the tablet computer wireless channel signal incident angle information, tablet computer wireless channel transmission node location information, wireless channel signal strength temporal characteristic information, wireless channel interference strength temporal characteristic information, and wireless channel signal rate temporal characteristic information.

[0070] In this embodiment, the tablet computer wireless channel signal incident angle information may refer to the incident direction angle of a wireless signal, such as a Wi-Fi or Bluetooth signal, when it reaches the tablet computer antenna, including both horizontal and vertical angles. This information may be used to reflect the spatial positional relationship of a signal source, such as a router, relative to the tablet computer. The incident angle may be calculated using algorithms such as signal arrival time difference and phase difference using a built-in multi-antenna array, such as a MIMO antenna. Some tablet computers support beamforming technology, and the incident angle may be inferred by analyzing the strength differences of signals received by different antennas. The tablet computer wireless channel transmission node location information may refer to the physical location coordinates of nodes participating in wireless channel transmission, such as a router or base station at the transmitting end, the tablet computer itself at the receiving end, or relay nodes. For nodes such as routers, the location may be obtained through their built-in GPS modules, or the user may manually enter the location information in the device management interface. For the tablet computer itself, its location may be obtained through satellite positioning systems such as GPS and Beidou, or through Wi-Fi fingerprint positioning or base station positioning. For relay nodes, if they are mobile relays, their location may generally be transmitted back in real time through their built-in positioning modules. If they are fixed relays, their location information may be preset. The tablet computer wireless channel signal incident angle information can be first converted into an angle vector, and the tablet computer wireless channel transmission node position information can be converted into a coordinate vector; then the wireless channel signal strength timing characteristic information, the wireless channel interference strength timing characteristic information, and the wireless channel signal rate timing characteristic information are horizontally spliced ​​to obtain a time characteristic vector; finally, the angle vector, coordinate vector and time characteristic vector are fused through vector splicing to form multiple tablet computer wireless channel spatiotemporal characteristic information, each characteristic information corresponds to unique tablet computer wireless channel identification information, realizing the correlation and integration of spatiotemporal dimension features.

[0071] The tablet computer wireless communication method provided in the embodiment of the present application uses the tablet computer wireless channel signal incident angle information and the tablet computer wireless channel transmission node position information to accurately locate the signal propagation path, distinguish direct waves from reflected waves, and reduce spatial overlapping interference in multi-device dense scenarios. It uses frequency domain analysis to identify interference sources of specific frequencies from the wireless channel signal strength frequency domain information and the wireless channel interference strength frequency domain information. Feature fusion processing makes feature representation more comprehensive and enhances robustness in dynamic wireless communication environments, thereby quickly matching optimal channel parameters for each device. It reduces interference between devices by adjusting the spatial beam direction angle, optimizes transmission power based on frequency domain characteristics, reduces energy consumption while ensuring communication quality, and improves wireless communication efficiency and stability.

[0072] Figure 3 The flowchart of the implementation of the wireless communication method for a tablet computer provided in the third embodiment of the present application is shown. The difference between the third embodiment and the second embodiment is that the step S208 specifically includes:

[0073] Step S301: Obtain wireless channel signal strength time series denoising information according to the plurality of wireless channel signal strength time series information and wireless channel signal strength time series mean information.

[0074] In this embodiment, the deviation between each sampling point in the multiple wireless channel signal strength time series information and the corresponding wireless channel signal strength time series mean information can be calculated to set a reasonable deviation threshold, such as ±1.5 times the standard deviation of the wireless channel signal strength time series mean information. Sampling points exceeding the threshold are determined as noise points, and linear interpolation is used to replace the noise points with the average value of adjacent valid sampling points, thereby obtaining smooth wireless channel signal strength time series denoising information and eliminating the interference of burst noise on the signal strength time series characteristics.

[0075] Step S302 : obtaining wireless channel signal strength time series attenuation smoothing information according to the wireless channel signal strength time series denoising information and a preset wireless channel signal strength time series attenuation smoothing function.

[0076] In this embodiment, the preset smoothing function for the time-series attenuation of the wireless channel signal strength can be manually set, such as an exponential attenuation smoothing function. By setting an attenuation coefficient, a higher weight is assigned to recent sampling points, while the weights of more distant sampling points decrease exponentially. The smoothed value at each moment is calculated to form smoothed information on the time-series attenuation of the wireless channel signal strength, highlighting the long-term trend of signal strength and suppressing high-frequency fluctuations. The attenuation coefficient can be set to 0.3.

[0077] Step S303: Obtain wireless channel interference intensity time series denoising information according to the plurality of wireless channel interference intensity time series information and wireless channel interference intensity time series mean information.

[0078] In this embodiment, the absolute difference between each sampling point and the time series mean information of the wireless channel interference strength can be calculated, and the denoising threshold can be set according to the statistical characteristics of the interference signal. For example, the denoising threshold can be ±2 times the standard deviation of the time series mean information of the wireless channel interference strength. For abnormal interference values ​​exceeding the threshold, the median replacement within the sliding window is used to obtain the time series denoising information of the wireless channel interference strength, thereby reducing the impact of sudden strong interference on the time series characteristics.

[0079] Step S304 : obtaining wireless channel interference intensity time series attenuation smoothing information according to the wireless channel interference intensity time series denoising information and a preset wireless channel interference intensity time series attenuation smoothing function.

[0080] In this embodiment, the preset smoothing function for the time-series attenuation of the wireless channel interference intensity can be manually set, such as an exponential attenuation smoothing function. By adjusting the smoothing coefficient to balance the real-time performance and stability of the interference signal, a weighted calculation is performed on the denoised time-series information to generate smoothed information on the time-series attenuation of the wireless channel interference intensity. This clearly presents the changing trend of the interference intensity and provides more reliable input for subsequent frequency domain analysis.

[0081] Step S305 : Obtain wireless channel signal rate timing denoising information according to the plurality of wireless channel signal rate timing information and wireless channel signal rate timing mean information.

[0082] In this embodiment, the rate timing information of multiple wireless channel signals is combined with the average rate timing information of the wireless channel signals. The relative deviation between the rate sampling point and the average is calculated, and a rate fluctuation threshold is set. For sampling points with excessive deviation, the average rate of the preceding and following moments is used to correct the deviation. This results in denoised wireless channel signal rate timing information, thereby eliminating characteristic distortion caused by instantaneous rate jumps. The rate fluctuation threshold can be ±15%.

[0083] Step S306 : obtaining wireless channel signal rate time series attenuation smoothing information according to the wireless channel signal rate time series denoising information and a preset wireless channel signal rate time series attenuation smoothing function.

[0084] In this embodiment, the preset smoothing function for the time-series attenuation of the wireless channel signal rate can be an exponential attenuation smoothing function, with an attenuation coefficient set to 0.4. This function can be used to process the time-series denoised information of the wireless channel signal rate. This function assigns a high weight to recent denoised rate values, gradually reducing the weight over time. Through weighted calculation, a smoothed sequence is generated to obtain smoothed information on the time-series attenuation of the wireless channel signal rate, effectively suppressing rate fluctuations and highlighting its long-term variation patterns.

[0085] The tablet computer wireless communication method provided in the embodiment of the present application can filter out burst noise and retain the true change pattern of the channel state by first denoising and then attenuating and smoothing the wireless channel signal strength timing information, the wireless channel interference strength timing information, and the wireless channel signal rate timing information, providing reliable input for subsequent time-frequency domain conversion and feature extraction, so that the wireless channel signal strength frequency domain information and the wireless channel interference strength frequency domain information more accurately reflect the frequency characteristics, thereby improving the accuracy of the tablet computer's perception of the channel dynamic characteristics. While ensuring the quality of wireless signal communication, the transmission power is adjusted according to the frequency domain characteristics to reduce energy consumption, thereby enhancing the stability and energy efficiency of wireless communication.

[0086] Figure 4 The flowchart of the implementation of the wireless communication method for a tablet computer provided in the fourth embodiment of the present application is shown. The difference between the fourth embodiment and the second embodiment is that the step S210 specifically includes:

[0087] Step S401, calculate the amplitude spectrum information of the wireless channel signal strength frequency domain information, the wireless channel interference strength frequency domain information and the wireless channel signal rate frequency domain information to obtain the wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information and the wireless channel signal rate amplitude spectrum information.

[0088] In this embodiment, the absolute values ​​of the amplitudes of the wireless channel signal strength frequency domain information, the wireless channel interference strength frequency domain information, and the wireless channel signal rate frequency domain information can be calculated respectively to obtain the wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information, and the wireless channel signal rate amplitude spectrum information with frequency as the horizontal axis and amplitude as the vertical axis, which intuitively reflect the amplitude distribution characteristics of the signal strength, interference strength, and signal rate at different frequencies.

[0089] Step S402: Calculate the wireless channel signal strength power spectrum density information, the wireless channel interference strength power spectrum density information, and the wireless channel signal rate power spectrum density information based on the wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information, and the wireless channel signal rate amplitude spectrum information.

[0090] In this embodiment, the amplitude value of each frequency point in the wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information, and the wireless channel signal rate amplitude spectrum information can be squared and then divided by the corresponding frequency resolution to obtain the wireless channel signal strength power spectrum density information, the wireless channel interference strength power spectrum density information, and the wireless channel signal rate power spectrum density information, respectively, which are used to characterize the power distribution within the unit frequency and quantify the energy strength of different frequencies.

[0091] Step S403: Perform frequency decomposition processing on the wireless channel signal strength frequency domain information, the wireless channel interference strength frequency domain information, and the wireless channel signal rate frequency domain information to obtain multiple wireless channel signal strength frequency sub-band information, multiple wireless channel interference strength frequency sub-band information, and multiple wireless channel signal rate frequency sub-band information.

[0092] In this embodiment, the frequency domain information of wireless channel signal strength, wireless channel interference strength, and wireless channel signal rate can be segmented according to a preset subband division rule to obtain multiple continuous and non-overlapping frequency subband information of wireless channel signal strength, multiple frequency subband information of wireless channel interference strength, and multiple frequency subband information of wireless channel signal rate, thereby achieving refined segmentation of the frequency domain information. The preset subband division rule can be to evenly divide the entire frequency range into 16 subbands.

[0093] Step S404: Calculate multiple wireless channel signal strength frequency sub-band energy information, multiple wireless channel interference strength frequency sub-band energy information, and multiple wireless channel signal rate frequency sub-band energy information based on the wireless channel signal strength power spectrum density information, the wireless channel interference strength power spectrum density information, and the wireless channel signal rate power spectrum density information.

[0094] In this embodiment, the wireless channel signal strength frequency sub-band information, the wireless channel interference strength frequency sub-band information, and the integral value of the wireless channel signal rate power spectrum density information within the sub-band range of the wireless channel signal strength frequency sub-band information, the wireless channel interference strength frequency sub-band information, and the wireless channel signal rate frequency sub-band information can be calculated respectively to obtain the total energy of each sub-band, that is, multiple wireless channel signal strength frequency sub-band energy information, multiple wireless channel interference strength frequency sub-band energy information, and multiple wireless channel signal rate frequency sub-band energy information to characterize the energy distribution of the channel in different sub-bands.

[0095] Step S405: Calculate the wireless channel signal strength energy information, wireless channel interference strength energy information, and wireless channel signal rate energy information based on the multiple wireless channel signal strength frequency sub-band energy information, the multiple wireless channel interference strength frequency sub-band energy information, and the multiple wireless channel signal rate frequency sub-band energy information.

[0096] In this embodiment, the wireless channel signal strength frequency sub-band energy information may be summed to obtain the wireless channel signal strength energy information; similarly, the wireless channel interference strength frequency sub-band energy information and the wireless channel signal rate frequency sub-band energy information may be summed to obtain the wireless channel interference strength energy information and the wireless channel signal rate energy information.

[0097] Step S406: The wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information, the wireless channel signal rate amplitude spectrum information, the wireless channel signal strength power spectrum density information, the wireless channel interference strength power spectrum density information, the wireless channel signal rate power spectrum density information, the wireless channel signal strength energy information, the wireless channel interference strength energy information, and the wireless channel signal rate energy information are spliced ​​to obtain frequency domain feature information of wireless channels of multiple tablet computers.

[0098] In this embodiment, the wireless channel identification information may be grouped, and the key parameters of the wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information, and the wireless channel signal rate amplitude spectrum information corresponding to each group, the peak and mean values ​​of the wireless channel signal strength power spectrum density information, the wireless channel interference strength power spectrum density information, and the wireless channel signal rate power spectrum density information, as well as the wireless channel signal strength energy information, the wireless channel interference strength energy information, and the wireless channel signal rate energy information corresponding to each group may be spliced ​​into feature vectors in a fixed order to form a plurality of tablet computer wireless channel frequency domain feature information, thereby binding each feature information to the corresponding tablet computer wireless channel identification information.

[0099] The tablet computer wireless communication method provided in the embodiments of the present application performs amplitude spectrum analysis, power spectrum density calculation, sub-band decomposition, and energy quantization on frequency domain information to achieve multi-dimensional and refined extraction of wireless channel frequency domain characteristics. This allows the tablet computer wireless channel frequency domain characteristic information to more comprehensively reflect the channel's frequency characteristics and energy distribution patterns, enabling the subsequently generated candidate tablet computer wireless communication channel parameter combination information to more accurately adapt to the channel's frequency domain characteristics. By targetedly adjusting the transmit power and spatial beam direction angle, the method further improves the anti-interference capability and transmission efficiency of wireless communication in complex frequency domain environments, providing reliable technical support for stable communication in diverse scenarios.

[0100] Figure 5 The flowchart of the implementation of the wireless communication method for a tablet computer provided in the fifth embodiment of the present application is shown. The difference between the fifth embodiment and the second embodiment is that the step S211 specifically includes:

[0101] Step S501: Based on a preset tablet computer wireless channel spatial information coding rule, the tablet computer wireless channel signal incident angle information and the tablet computer wireless channel transmission node position information are coded and processed to obtain tablet computer wireless channel signal incident angle coding feature information and tablet computer wireless channel transmission node position feature information.

[0102] In this embodiment, the preset spatial information encoding rules for the tablet computer wireless channel can be manually set, and can be implemented by normalizing angle and position information into fixed-dimensional vectors. For the tablet computer wireless channel signal incident angle information, the horizontal and vertical angles can be mapped to normalized values ​​between 0 and 1, forming a two-dimensional angle encoding vector, i.e., the tablet computer wireless channel signal incident angle encoding feature information. For the tablet computer wireless channel transmission node location information, the coordinate values ​​can be normalized and converted into a three-dimensional coordinate encoding vector, i.e., the tablet computer wireless channel transmission node location feature information. This ensures a uniform numerical range for the spatial information, facilitating subsequent feature fusion.

[0103] Step S502 : performing splicing processing on the tablet computer wireless channel signal incident angle coding feature information and the tablet computer wireless channel transmission node position feature information to generate tablet computer wireless channel spatial feature information.

[0104] In this embodiment, the tablet computer's wireless channel signal incident angle encoding feature information and the tablet computer's wireless channel transmission node location feature information are sequentially concatenated horizontally to form a five-dimensional vector, namely, the tablet computer's wireless channel spatial feature information. This achieves structured integration of spatial dimension information and lays the foundation for spatiotemporal feature fusion. It is understandable that the tablet computer's wireless channel signal incident angle encoding feature information is a two-dimensional vector, and the tablet computer's wireless channel transmission node location feature information is a three-dimensional vector.

[0105] Step S503 : performing dimension expansion calculation on the temporal characteristic information of the wireless channel signal strength according to the spatial characteristic information of the tablet computer wireless channel to obtain the temporal and spatial characteristic information of the wireless channel signal strength.

[0106] In this embodiment, dimensionality expansion can be achieved through a vector outer product operation. The outer product of the tablet computer's wireless channel spatial feature information and the wireless channel signal strength temporal feature information can be calculated to obtain a higher-dimensional feature vector, namely, the wireless channel signal strength spatiotemporal feature information. This feature information can simultaneously include spatial features and signal strength temporal features, capturing the interaction between the two. The tablet computer's wireless channel spatial feature information is a five-dimensional vector, and the wireless channel signal strength temporal feature information is a four-dimensional vector. The outer product of the tablet computer's wireless channel spatial feature information and the wireless channel signal strength temporal feature information can result in a 20-dimensional feature vector.

[0107] Step S504 : performing dimension expansion calculation on the temporal characteristic information of the wireless channel interference intensity according to the spatial characteristic information of the tablet computer wireless channel to obtain the temporal and spatial characteristic information of the wireless channel interference intensity.

[0108] In this embodiment, a vector outer product operation can be performed on the spatial characteristic information of the tablet computer's wireless channel and the temporal characteristic information of the wireless channel interference intensity to generate the spatial and temporal characteristic information of the wireless channel interference intensity after dimension expansion, so that the temporal characteristics and spatial characteristics of the interference intensity are deeply integrated to reflect the interference change law at different spatial positions.

[0109] Step S505 : performing dimension expansion calculation on the wireless channel signal rate temporal characteristic information according to the tablet computer wireless channel spatial characteristic information to obtain the wireless channel signal rate temporal and spatial characteristic information.

[0110] In this embodiment, the spatial characteristic information of the tablet computer's wireless channel and the temporal characteristic information of the wireless channel signal rate can be dimensionally expanded through a vector outer product operation to obtain the spatiotemporal characteristic information of the wireless channel signal rate. This characteristic information includes both the spatial characteristics and the temporal characteristics of the signal rate, characterizing the dynamic changes of the channel rate at different spatial positions.

[0111] Step S506 , performing splicing processing on the wireless channel signal strength spatiotemporal characteristic information, the wireless channel interference strength spatiotemporal characteristic information, and the wireless channel signal rate spatiotemporal characteristic information to obtain a plurality of tablet computer wireless channel spatiotemporal characteristic information.

[0112] In this embodiment, the tablet computer wireless channel identification information can be grouped, and the corresponding wireless channel signal strength spatiotemporal characteristic information, wireless channel interference strength spatiotemporal characteristic information, and wireless channel signal rate spatiotemporal characteristic information of each group can be horizontally spliced ​​in a fixed order to form a comprehensive high-dimensional feature vector, that is, multiple tablet computer wireless channel spatiotemporal characteristic information, each feature information is bound one by one to the corresponding tablet computer wireless channel identification information, thereby realizing the comprehensive integration of spatiotemporal characteristics.

[0113] The tablet computer wireless communication method provided in the embodiment of the present application achieves a deep fusion of spatial features and temporal features through standardized coding and dimensional expansion, so that the spatiotemporal feature information of the tablet computer wireless channel more accurately reflects the dynamic correlation characteristics of the channel in the spatiotemporal dimension, and provides more comprehensive feature support for the generation of candidate tablet computer wireless communication channel parameter combination information, thereby improving the adaptability of the target tablet computer wireless communication channel parameter combination information, further enhancing the stability and efficiency of wireless communication in complex spatial environments and dynamic channel conditions, thereby meeting the wireless communication needs of tablet computers in multiple scenarios.

[0114] Figure 6 The flowchart of the implementation of the wireless communication method for a tablet computer provided in the sixth embodiment of the present application is shown. The difference between the sixth embodiment and the first embodiment is that the step S103 specifically includes:

[0115] Step S601 : performing splicing processing on the frequency domain feature information of the plurality of tablet computer wireless channels and the spatiotemporal feature information of the plurality of tablet computer wireless channels to obtain a plurality of comprehensive feature vectors of the tablet computer wireless channels.

[0116] In this embodiment, the tablet computer wireless channel identification information may be grouped, and the frequency domain feature information of multiple tablet computer wireless channels and the spatiotemporal feature information of multiple tablet computer wireless channels corresponding to each group are horizontally spliced ​​in sequence to form a high-dimensional vector containing frequency domain and spatiotemporal dimension features, that is, a comprehensive feature vector of multiple tablet computer wireless channels, thereby realizing the integration of features of different dimensions and providing a unified input for subsequent weight calculation.

[0117] Step S602 : obtaining a plurality of tablet computer wireless channel comprehensive feature weights according to the plurality of tablet computer wireless channel comprehensive feature vectors, preset tablet computer wireless channel comprehensive feature transformation coefficients, and preset tablet computer wireless channel comprehensive feature transformation biases.

[0118] In this embodiment, the preset tablet computer wireless channel comprehensive feature transformation coefficients and the preset tablet computer wireless channel comprehensive feature transformation biases can be manually set or obtained through historical data training. Multiple tablet computer wireless channel comprehensive feature vectors can be subjected to matrix multiplication by the preset tablet computer wireless channel comprehensive feature transformation coefficients, and then the preset tablet computer wireless channel comprehensive feature transformation biases are added. After activation function processing, multiple tablet computer wireless channel comprehensive feature weights are obtained to quantify the impact of different comprehensive features on channel parameter adaptation.

[0119] Step S603 : performing weighted processing on the adaptation parameter information of the multiple tablet computer wireless communication channels according to the comprehensive feature weights of the multiple tablet computer wireless channels to obtain the adaptation parameter optimization information of the multiple tablet computer wireless communication channels.

[0120] In this embodiment, the transmission power, spatial beam direction angle, and power control step length in the adaptation parameter information of the wireless communication channels of multiple tablet computers may be weighted and summed with the corresponding comprehensive characteristic weights of the wireless channels of multiple tablet computers to obtain the adjusted transmission power, spatial beam direction angle, and power control step length, i.e., the adaptation parameter optimization information of the wireless communication channels of multiple tablet computers, so that the adaptation parameters are more in line with the comprehensive characteristics of the channels.

[0121] Step S604 : performing splicing processing on the plurality of tablet computer wireless channel identification information and the plurality of tablet computer wireless communication channel adaptation parameter optimization information to generate a plurality of candidate tablet computer wireless communication channel parameter combination information.

[0122] In this embodiment, the wireless channel identification information of each tablet computer and the corresponding multiple tablet computer wireless communication channel adaptation parameter optimization information can be spliced ​​in a fixed format. For example, the channel identification information is first bound, and then the optimized transmission power, spatial beam direction angle, and power control step size are sequentially attached to form multiple candidate tablet computer wireless communication channel parameter combination information. Each combination information contains a complete channel identification and optimization parameters to ensure the precise association between the parameters and the channel.

[0123] The tablet computer wireless communication method provided in the embodiment of the present application generates a comprehensive feature vector by fusing frequency domain features and spatiotemporal features, and optimizes adaptation parameters based on feature weights. This makes the parameter combination information of multiple candidate tablet computer wireless communication channels more consistent with the multidimensional characteristics of the channel, improves the matching accuracy between the parameter combination and the actual communication scenario, facilitates the subsequent screening and optimization process to more efficiently locate the optimal parameter combination, enhances the adaptability and reliability of the tablet computer wireless communication, and achieves a dynamic balance between communication quality and energy consumption in complex environments.

[0124] Figure 7 The flowchart of the implementation of the wireless communication method for a tablet computer provided in the seventh embodiment of the present application is shown. The difference between the seventh embodiment and the second embodiment is that:

[0125] The plurality of tablet computer wireless communication channel adaptation parameter information includes tablet computer wireless signal transmission power information, tablet computer wireless signal power control step length information and tablet computer wireless signal spatial beam direction angle information;

[0126] The step S104 specifically includes:

[0127] Step S701 : extract parameter information from the wireless communication channel parameter combination information of the plurality of candidate tablet computers to obtain candidate tablet computer wireless signal transmission power information, candidate tablet computer wireless signal power control step length information, and candidate tablet computer wireless signal spatial beam direction angle information.

[0128] In this embodiment, the wireless communication channel parameter combination information of each candidate tablet computer may be parsed to extract the corresponding transmission power, power control step and spatial beam direction angle, which are used as the candidate tablet computer wireless signal transmission power information, the candidate tablet computer wireless signal power control step information and the candidate tablet computer wireless signal spatial beam direction angle information, respectively.

[0129] Step S702 : Calculate the signal-to-noise ratio information of the wireless signals of the candidate tablet computers according to the wireless signal transmission power information of the candidate tablet computers, the wireless signal power control step length information of the candidate tablet computers, and the wireless channel interference strength characterization information.

[0130] In this embodiment, the noise power may be determined based on the wireless channel interference intensity characterization information, and then combined with the signal power in the wireless signal transmission power information of the candidate tablet computer, the signal-to-noise ratio information of the wireless signals of multiple candidate tablet computers may be calculated using the signal-to-noise ratio calculation formula (signal-to-noise ratio = signal power / noise power). At the same time, the signal power may be dynamically adjusted based on the power control step size information of the wireless signals of the candidate tablet computer, and the signal-to-noise ratio calculation result may be corrected to make the signal-to-noise ratio information more consistent with the impact of power changes on signal quality in actual communication scenarios.

[0131] Step S703 : calculating the matching degree between the spatial beam direction angle information of the wireless signals of the plurality of candidate tablet computers and the incident angle information of the wireless channel signals of the tablet computer, and obtaining the spatial alignment degree information of the wireless signals of the plurality of candidate tablet computers.

[0132] In this embodiment, the angle difference between the spatial beam direction angle information of the candidate tablet computer wireless signal and the incident angle information of the tablet computer wireless channel signal can be calculated, and the complementary angle of the angle difference (such as 180 degrees minus the angle difference) is used as a quantitative indicator of spatial alignment. The smaller the angle difference, the larger the complementary angle, indicating a higher spatial alignment. That is, the spatial alignment information of multiple candidate tablet computer wireless signals is obtained, which is used to characterize the degree of matching between the beam direction and the signal incident direction.

[0133] Step S704 , calculating tablet computer wireless channel adaptation degree information of multiple candidate tablet computer wireless communication channel parameter combination information based on the multiple candidate tablet computer wireless signal signal-to-noise ratio information, multiple candidate tablet computer wireless signal spatial alignment information, and a preset tablet computer wireless channel adaptation weight coefficient.

[0134] In this embodiment, the preset tablet computer wireless channel adaptation weight coefficient can be manually set to distinguish the importance of signal-to-noise ratio information and spatial alignment information. This can be accomplished by multiplying the signal-to-noise ratio information of multiple candidate tablet computer wireless signals by the corresponding weight coefficient, then multiplying the spatial alignment information of multiple candidate tablet computer wireless signals by the remaining weight coefficient. The two results are then added together to obtain the tablet computer wireless channel adaptation information for the multiple candidate tablet computer wireless communication channel parameter combinations, thereby comprehensively evaluating the adaptation effect of the parameter combination and the channel.

[0135] Step S705 , determining whether the maximum value of the plurality of tablet computer wireless channel adaptation degree information is greater than a preset tablet computer wireless channel adaptation degree threshold; if so, proceeding to step S706 ; if not, proceeding to step S707 .

[0136] In this embodiment, a preset tablet computer wireless channel adaptation threshold can be set based on historical communication data or actual application requirements to determine whether an optimal solution exists among the current candidate parameter combinations. If the maximum value among multiple tablet computer wireless channel adaptation information exceeds the threshold, it indicates that a parameter combination with good adaptation results exists; otherwise, further optimization of the parameter combination is required.

[0137] Step S706 : The candidate tablet computer wireless communication channel parameter combination information corresponding to the maximum value of the plurality of tablet computer wireless channel adaptation degree information is used as the target tablet computer wireless communication channel parameter combination information.

[0138] In this embodiment, when the maximum value of the wireless channel adaptation degree information of multiple tablet computers is greater than a preset threshold, it indicates that the candidate tablet computer wireless communication channel parameter combination information corresponding to the maximum value can better adapt to the current channel in terms of signal-to-noise ratio and spatial alignment. Therefore, it is directly determined as the target tablet computer wireless communication channel parameter combination information without further optimization.

[0139] Step S707 : taking the candidate tablet computer wireless communication channel parameter combination information corresponding to the maximum value of the plurality of tablet computer wireless channel adaptation degree information as the reference tablet computer wireless communication channel parameter combination information.

[0140] In this embodiment, when the maximum value of the adaptation degree information of multiple tablet computer wireless channels does not reach the preset threshold, it means that the adaptation effect of the current candidate parameter combination has not yet met the requirements. The parameter combination corresponding to the maximum value is used as the reference tablet computer wireless communication channel parameter combination information to provide a benchmark for subsequent parameter optimization, so that adjustments and improvements can be made based on the reference combination.

[0141] Step S708 : Based on the preset tablet computer wireless communication channel parameter optimization step size, multiple intermediate tablet computer wireless communication channel parameter combination information are generated according to the multiple candidate tablet computer wireless communication channel parameter combination information and the reference tablet computer wireless communication channel parameter combination information.

[0142] In this embodiment, the preset tablet computer wireless communication channel parameter optimization step size can be manually set, such as a transmit power optimization step size of 1 dB, a spatial beam direction angle optimization step size of 5 degrees, etc. Based on the reference tablet computer wireless communication channel parameter combination information, parameters such as transmit power and spatial beam direction angle in the candidate tablet computer wireless communication channel parameter combination information can be fine-tuned according to the preset optimization step size to generate multiple new intermediate tablet computer wireless communication channel parameter combination information, thereby expanding the parameter search range.

[0143] Step S709 : Using the plurality of intermediate tablet computer wireless communication channel parameter combination information as a plurality of candidate tablet computer wireless communication channel parameter combination information, and returning to step S701 .

[0144] In this embodiment, the generated multiple intermediate tablet computer wireless communication channel parameter combination information can replace the original multiple candidate tablet computer wireless communication channel parameter combination information, and the adaptability of the parameter combination can be gradually improved through iterative optimization until the target parameter combination that meets the preset threshold is found.

[0145] The tablet computer wireless communication method provided in the embodiment of the present application achieves accurate evaluation of candidate parameter combinations by separating parameters and combining the signal-to-noise ratio and spatial alignment metric to quantify the degree of adaptation. At the same time, an iterative optimization mechanism is used to ensure the adaptation effect of the parameter combination, so that the target tablet computer wireless communication channel parameter combination information can more accurately match the channel characteristics, improve the signal quality and stability of wireless communication, and maintain efficient communication performance in complex spatial environments and dynamic interference scenarios.

[0146] Corresponding to the method of the above embodiment, Figure 8 A structural block diagram of a tablet computer wireless communication device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 8 The exemplary tablet computer wireless communication device may be an execution subject of the tablet computer wireless communication method provided in the aforementioned first embodiment.

[0147] Reference Figure 8 , the tablet computer wireless communication device includes:

[0148] An information acquisition module 810 is configured to acquire multiple tablet computer wireless communication channel adaptation parameter information, multiple tablet computer wireless channel identification information, multiple tablet computer wireless channel space information, and multiple wireless communication channel state representation information;

[0149] The tablet computer wireless channel characteristic information generation module 820 is configured to perform frequency domain feature extraction and spatiotemporal feature extraction on the plurality of tablet computer wireless channel spatial information and the plurality of wireless communication channel state representation information to obtain a plurality of tablet computer wireless channel frequency domain feature information and a plurality of tablet computer wireless channel spatiotemporal feature information; the tablet computer wireless channel frequency domain feature information, the tablet computer wireless channel spatiotemporal feature information, and the tablet computer wireless channel identification information correspond one-to-one.

[0150] The candidate tablet computer wireless communication channel parameter combination information generating module 830 is configured to generate a plurality of candidate tablet computer wireless communication channel parameter combination information based on the plurality of tablet computer wireless channel identification information, the plurality of tablet computer wireless channel frequency domain characteristic information, the plurality of tablet computer wireless channel spatiotemporal characteristic information, and the plurality of tablet computer wireless communication channel adaptation parameter information;

[0151] The target tablet computer wireless communication channel parameter combination information generating module 840 is configured to screen and optimize the plurality of candidate tablet computer wireless communication channel parameter combination information to generate the target tablet computer wireless communication channel parameter combination information;

[0152] The target tablet computer wireless communication channel identification information generation module 850 is used to perform channel search based on the target tablet computer wireless communication channel parameter combination information to obtain the target tablet computer wireless communication channel identification information so that the tablet computer can perform wireless communication through the tablet computer wireless communication channel corresponding to the target tablet computer wireless communication channel identification information.

[0153] The process of each module in the tablet computer wireless communication device provided in the embodiment of the present application realizing its own function can be specifically referred to the aforementioned Figure 1 The description of the first embodiment is omitted here.

[0154] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0155] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0156] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0157] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0158] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish descriptions and should not be understood as indicating or implying relative importance. It should also be understood that although the terms "first", "second", etc. are used in the text to describe various elements in some embodiments of the present application, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first table can be named a second table, and similarly, a second table can be named a first table without departing from the scope of the various described embodiments. Both the first table and the second table are tables, but they are not the same table.

[0159] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0160] The tablet computer wireless communication method provided in the embodiments of the present application can be applied to terminal devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptop computers, ultra-mobile personal computers (UMPCs), netbooks, and personal digital assistants (PDAs). The embodiments of the present application do not impose any restrictions on the specific types of terminal devices.

[0161] For example, the terminal device can be a station (STAION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a TV set-top box (STB), customer premise equipment (CPE) and / or other devices for communicating on a wireless system and a next-generation communication system, such as a mobile terminal in a 5G network or a mobile terminal in a future evolved Public Land Mobile Network (PLMN) network.

[0162] Figure 9 This is a schematic diagram of the structure of a terminal device provided by an embodiment of the present application. Figure 9 As shown, the terminal device 9 of this embodiment includes: at least one processor 90 ( Figure 9 Only one is shown), a memory 91, wherein the memory 91 stores a computer program 92 that can be run on the processor 90. When the processor 90 executes the computer program 92, the steps in the above-mentioned embodiments of the tablet computer wireless communication method are implemented, such as Figure 1 Alternatively, when the processor 90 executes the computer program 92, the functions of the modules / units in the above-mentioned device embodiments are realized, for example, Figure 8 Functions of modules 810 to 850 are shown.

[0163] The terminal device 9 can be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device can include, but is not limited to, a processor 90 and a memory 91. It can be understood by those skilled in the art that Figure 9 It is only an example of the terminal device 9 and does not constitute a limitation on the terminal device 9. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include an input and sending device, a network access device, a bus, etc.

[0164] The processor 90 may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0165] In some embodiments, the memory 91 may be an internal storage unit of the terminal device 9, such as a hard drive or memory of the terminal device 9. The memory 91 may also be an external storage device of the terminal device 9, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the memory 91 may include both an internal storage unit of the terminal device 9 and an external storage device. The memory 91 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 91 may also be used to temporarily store data that has been sent or is about to be sent.

[0166] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0167] An embodiment of the present application also provides a terminal device, which includes at least one memory, at least one processor, and a computer program stored in the at least one memory and executable on the at least one processor. When the processor executes the computer program, the terminal device implements the steps of any of the above-mentioned method embodiments.

[0168] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0169] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0170] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A tablet computer wireless communication method, characterized in that: include: Acquire multiple tablet computer wireless communication channel adaptation parameter information, multiple tablet computer wireless channel identification information, multiple tablet computer wireless channel space information, and multiple wireless communication channel state representation information; Performing frequency domain feature extraction and spatiotemporal feature extraction on the multiple tablet computer wireless channel spatial information and the multiple wireless communication channel state representation information to obtain multiple tablet computer wireless channel frequency domain feature information and multiple tablet computer wireless channel spatiotemporal feature information; the tablet computer wireless channel frequency domain feature information, the tablet computer wireless channel spatiotemporal feature information, and the tablet computer wireless channel identification information have a one-to-one correspondence; Generate multiple candidate tablet computer wireless communication channel parameter combination information according to the multiple tablet computer wireless channel identification information, the multiple tablet computer wireless channel frequency domain characteristic information, the multiple tablet computer wireless channel time and space characteristic information, and the multiple tablet computer wireless communication channel adaptation parameter information; Screening and optimizing the plurality of candidate tablet computer wireless communication channel parameter combination information to generate target tablet computer wireless communication channel parameter combination information; Channel search is performed according to the target tablet computer wireless communication channel parameter combination information to obtain the target tablet computer wireless communication channel identification information, so that the tablet computer can perform wireless communication through the tablet computer wireless communication channel corresponding to the target tablet computer wireless communication channel identification information.

2. The tablet computer wireless communication method according to claim 1, wherein: The tablet computer wireless channel spatial information includes tablet computer wireless channel signal incident angle information and tablet computer wireless channel transmission node position information; The wireless communication channel state characterization information includes wireless channel signal strength characterization information, wireless channel interference strength characterization information and wireless channel signal rate characterization information; The step of performing frequency domain feature extraction and spatiotemporal feature extraction on the spatial information of the wireless channels of the multiple tablet computers and the state representation information of the multiple wireless communication channels to obtain frequency domain feature information of the wireless channels of the multiple tablet computers and spatiotemporal feature information of the wireless channels of the multiple tablet computers specifically includes: Based on a preset wireless channel sampling timing window length and a preset wireless channel information sampling timing window sliding step size, time-series sampling is performed on the multiple wireless channel signal strength characterization information, the multiple wireless channel interference strength characterization information, and the multiple wireless channel signal rate characterization information to obtain multiple wireless channel signal strength timing information, multiple wireless channel interference strength timing information, and multiple wireless channel signal rate timing information; Calculate the mean, variance, maximum, and first-order difference mean of the multiple wireless channel signal strength time series information to obtain wireless channel signal strength time series mean information, wireless channel signal strength time series variance information, wireless channel signal strength time series maximum value information, and wireless channel signal strength time series difference mean information; Performing splicing processing on the wireless channel signal strength time series mean information, the wireless channel signal strength time series variance information, the wireless channel signal strength time series maximum value information, and the wireless channel signal strength time series difference mean information to generate wireless channel signal strength time series feature information; Calculating the mean, variance, maximum, and first-order difference mean of the multiple wireless channel interference strength time series information to obtain wireless channel interference strength time series mean information, wireless channel interference strength time series variance information, wireless channel interference strength time series maximum information, and wireless channel interference strength time series difference mean information; Performing splicing processing on the wireless channel interference intensity time series mean information, the wireless channel interference intensity time series variance information, the wireless channel interference intensity time series maximum value information, and the wireless channel interference intensity time series difference mean information to generate wireless channel interference intensity time series feature information; Calculating the mean, variance, maximum, and first-order difference mean of the plurality of wireless channel signal rate timing series information to obtain wireless channel signal rate timing series mean information, wireless channel signal rate timing series variance information, wireless channel signal rate timing series maximum information, and wireless channel signal rate timing series difference mean information; Performing splicing processing on the wireless channel signal rate time series mean information, the wireless channel signal rate time series variance information, the wireless channel signal rate time series maximum value information, and the wireless channel signal rate time series difference mean information to generate wireless channel signal rate time series feature information; Performing attenuation and smoothing processing on the wireless channel signal strength time series information, the wireless channel signal strength time series mean information, the wireless channel interference strength time series information, the wireless channel interference strength time series mean information, the wireless channel signal rate time series information, and the wireless channel signal rate time series mean information to obtain wireless channel signal strength time series attenuation smoothed information, wireless channel interference strength time series attenuation smoothed information, and wireless channel signal rate time series attenuation smoothed information; Performing time-frequency domain conversion processing on the wireless channel signal strength time-series attenuation smoothed information, the wireless channel interference strength time-series attenuation smoothed information, and the wireless channel signal rate time-series attenuation smoothed information to obtain wireless channel signal strength frequency domain information, wireless channel interference strength frequency domain information, and wireless channel signal rate frequency domain information; Performing structured feature extraction on the wireless channel signal strength frequency domain information, the wireless channel interference strength frequency domain information, and the wireless channel signal rate frequency domain information to obtain frequency domain feature information of wireless channels of multiple tablet computers; Multiple tablet computer wireless channel spatiotemporal characteristic information are obtained based on the tablet computer wireless channel signal incident angle information, tablet computer wireless channel transmission node position information, wireless channel signal strength time series characteristic information, wireless channel interference strength time series characteristic information and wireless channel signal rate time series characteristic information.

3. The tablet computer wireless communication method according to claim 2, wherein: The step of performing attenuation and smoothing processing on the wireless channel signal strength time series information, the wireless channel signal strength time series mean information, the wireless channel interference strength time series information, the wireless channel interference strength time series mean information, the wireless channel signal rate time series information, and the wireless channel signal rate time series mean information to obtain the wireless channel signal strength time series attenuation smoothed information, the wireless channel interference strength time series attenuation smoothed information, and the wireless channel signal rate time series attenuation smoothed information specifically includes: Obtaining wireless channel signal strength time series denoising information according to the plurality of wireless channel signal strength time series information and wireless channel signal strength time series mean information; Obtaining wireless channel signal strength time series attenuation smoothing information according to the wireless channel signal strength time series denoising information and a preset wireless channel signal strength time series attenuation smoothing function; Obtaining wireless channel interference strength time series denoising information according to the multiple wireless channel interference strength time series information and wireless channel interference strength time series mean information; Obtaining wireless channel interference intensity time series attenuation smoothing information according to the wireless channel interference intensity time series denoising information and a preset wireless channel interference intensity time series attenuation smoothing function; Obtaining wireless channel signal rate timing denoising information according to the plurality of wireless channel signal rate timing information and wireless channel signal rate timing mean information; The wireless channel signal rate timing attenuation smoothing information is obtained according to the wireless channel signal rate timing denoising information and a preset wireless channel signal rate timing attenuation smoothing function.

4. The tablet computer wireless communication method according to claim 2, wherein: The step of performing structured feature extraction on the wireless channel signal strength frequency domain information, the wireless channel interference strength frequency domain information, and the wireless channel signal rate frequency domain information to obtain frequency domain feature information of wireless channels of multiple tablet computers specifically includes: Calculate the amplitude spectrum information of the wireless channel signal strength frequency domain information, the wireless channel interference strength frequency domain information, and the wireless channel signal rate frequency domain information to obtain the wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information, and the wireless channel signal rate amplitude spectrum information; Calculate the wireless channel signal strength power spectrum density information, the wireless channel interference strength power spectrum density information, and the wireless channel signal rate power spectrum density information based on the wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information, and the wireless channel signal rate amplitude spectrum information; Performing frequency decomposition processing on the wireless channel signal strength frequency domain information, the wireless channel interference strength frequency domain information, and the wireless channel signal rate frequency domain information to obtain a plurality of wireless channel signal strength frequency sub-band information, a plurality of wireless channel interference strength frequency sub-band information, and a plurality of wireless channel signal rate frequency sub-band information; Calculate, based on the wireless channel signal strength power spectrum density information, the wireless channel interference strength power spectrum density information, and the wireless channel signal rate power spectrum density information, a plurality of wireless channel signal strength frequency sub-band energy information, a plurality of wireless channel interference strength frequency sub-band energy information, and a plurality of wireless channel signal rate frequency sub-band energy information; Calculate wireless channel signal strength energy information, wireless channel interference strength energy information, and wireless channel signal rate energy information based on the multiple wireless channel signal strength frequency sub-band energy information, the multiple wireless channel interference strength frequency sub-band energy information, and the multiple wireless channel signal rate frequency sub-band energy information; The wireless channel signal strength amplitude spectrum information, the wireless channel interference strength amplitude spectrum information, the wireless channel signal rate amplitude spectrum information, the wireless channel signal strength power spectrum density information, the wireless channel interference strength power spectrum density information, the wireless channel signal rate power spectrum density information, the wireless channel signal strength energy information, the wireless channel interference strength energy information and the wireless channel signal rate energy information are spliced ​​to obtain frequency domain feature information of wireless channels of multiple tablet computers.

5. The tablet computer wireless communication method according to claim 2, wherein: The step of obtaining a plurality of spatiotemporal characteristic information of the tablet computer wireless channels according to the tablet computer wireless channel signal incident angle information, the tablet computer wireless channel transmission node position information, the wireless channel signal strength time series characteristic information, the wireless channel interference strength time series characteristic information, and the wireless channel signal rate time series characteristic information specifically includes: Based on a preset tablet computer wireless channel spatial information coding rule, encoding the tablet computer wireless channel signal incident angle information and the tablet computer wireless channel transmission node position information to obtain tablet computer wireless channel signal incident angle coding feature information and tablet computer wireless channel transmission node position feature information; Performing splicing processing on the tablet computer wireless channel signal incident angle coding feature information and the tablet computer wireless channel transmission node position feature information to generate tablet computer wireless channel spatial feature information; Performing dimension expansion calculation on the wireless channel signal strength temporal characteristic information according to the tablet computer wireless channel spatial characteristic information to obtain wireless channel signal strength spatiotemporal characteristic information; Performing dimension expansion calculation on the temporal characteristic information of the wireless channel interference intensity according to the spatial characteristic information of the tablet computer wireless channel to obtain the temporal and spatial characteristic information of the wireless channel interference intensity; Performing dimension expansion calculation on the wireless channel signal rate temporal characteristic information according to the tablet computer wireless channel spatial characteristic information to obtain the wireless channel signal rate spatiotemporal characteristic information; The spatiotemporal characteristic information of the wireless channel signal strength, the spatiotemporal characteristic information of the wireless channel interference strength, and the spatiotemporal characteristic information of the wireless channel signal rate are spliced ​​to obtain a plurality of spatiotemporal characteristic information of the wireless channels of the tablet computer.

6. The tablet computer wireless communication method according to claim 1, wherein: The step of generating a plurality of candidate tablet computer wireless communication channel parameter combination information based on the plurality of tablet computer wireless channel identification information, the plurality of tablet computer wireless channel frequency domain characteristic information, the plurality of tablet computer wireless channel spatiotemporal characteristic information, and the plurality of tablet computer wireless communication channel adaptation parameter information specifically includes: Performing splicing processing on the frequency domain feature information of the multiple tablet computer wireless channels and the spatiotemporal feature information of the multiple tablet computer wireless channels to obtain a plurality of comprehensive feature vectors of the tablet computer wireless channels; Obtaining a plurality of tablet computer wireless channel comprehensive feature weights according to the plurality of tablet computer wireless channel comprehensive feature vectors, preset tablet computer wireless channel comprehensive feature transformation coefficients, and preset tablet computer wireless channel comprehensive feature transformation biases; performing weighted processing on the adaptation parameter information of the multiple tablet computer wireless communication channels according to the comprehensive feature weights of the multiple tablet computer wireless channels to obtain the adaptation parameter optimization information of the multiple tablet computer wireless communication channels; The plurality of tablet computer wireless channel identification information and the plurality of tablet computer wireless communication channel adaptation parameter optimization information are spliced ​​to generate a plurality of candidate tablet computer wireless communication channel parameter combination information.

7. The tablet computer wireless communication method according to claim 2, wherein: The plurality of tablet computer wireless communication channel adaptation parameter information includes tablet computer wireless signal transmission power information, tablet computer wireless signal power control step length information and tablet computer wireless signal spatial beam direction angle information; The step of screening and optimizing the wireless communication channel parameter combination information of the plurality of candidate tablet computers to generate the wireless communication channel parameter combination information of the target tablet computer specifically includes: Extracting parameter information from the wireless communication channel parameter combination information of the plurality of candidate tablet computers to obtain wireless signal transmission power information of the candidate tablet computers, power control step length information of the wireless signal of the candidate tablet computers, and spatial beam direction angle information of the wireless signal of the candidate tablet computers; Calculating signal-to-noise ratio information of wireless signals of the plurality of candidate tablet computers according to the wireless signal transmission power information of the plurality of candidate tablet computers, the wireless signal power control step length information of the plurality of candidate tablet computers, and the wireless channel interference strength characterization information; Calculating the matching degree of the spatial beam direction angle information of the wireless signals of the multiple candidate tablet computers and the incident angle information of the wireless channel signals of the tablet computers to obtain the spatial alignment information of the wireless signals of the multiple candidate tablet computers; Calculate tablet computer wireless channel adaptation degree information of the plurality of candidate tablet computer wireless communication channel parameter combination information based on the plurality of candidate tablet computer wireless signal signal-to-noise ratio information, the plurality of candidate tablet computer wireless signal spatial alignment information, and a preset tablet computer wireless channel adaptation weight coefficient; Determining whether a maximum value of the plurality of pieces of tablet computer wireless channel adaptation information is greater than a preset tablet computer wireless channel adaptation degree threshold; If so, taking the candidate tablet computer wireless communication channel parameter combination information corresponding to the maximum value of the plurality of tablet computer wireless channel adaptation degree information as the target tablet computer wireless communication channel parameter combination information; If not, taking the candidate tablet computer wireless communication channel parameter combination information corresponding to the maximum value of the plurality of tablet computer wireless channel adaptation degree information as the reference tablet computer wireless communication channel parameter combination information; Based on a preset tablet computer wireless communication channel parameter optimization step size, generating a plurality of intermediate tablet computer wireless communication channel parameter combination information according to the plurality of candidate tablet computer wireless communication channel parameter combination information and the reference tablet computer wireless communication channel parameter combination information; The wireless communication channel parameter combination information of the multiple intermediate tablet computers is used as the wireless communication channel parameter combination information of the multiple candidate tablet computers, and the process returns to the step of extracting parameter information from the wireless communication channel parameter combination information of the multiple candidate tablet computers to obtain the wireless signal transmission power information of the candidate tablet computers, the power control step length information of the wireless signal of the candidate tablet computers, and the spatial beam direction angle information of the wireless signal of the candidate tablet computers.

8. A tablet computer wireless communication device, characterized in that: include: An information acquisition module is used to obtain multiple tablet computer wireless communication channel adaptation parameter information, multiple tablet computer wireless channel identification information, multiple tablet computer wireless channel space information and multiple wireless communication channel state representation information; a tablet computer wireless channel characteristic information generation module, configured to perform frequency domain feature extraction and spatiotemporal feature extraction on the plurality of tablet computer wireless channel spatial information and the plurality of wireless communication channel state representation information, to obtain a plurality of tablet computer wireless channel frequency domain feature information and a plurality of tablet computer wireless channel spatiotemporal feature information; the tablet computer wireless channel frequency domain feature information, the tablet computer wireless channel spatiotemporal feature information, and the tablet computer wireless channel identification information in a one-to-one correspondence; a candidate tablet computer wireless communication channel parameter combination information generation module, configured to generate a plurality of candidate tablet computer wireless communication channel parameter combination information based on the plurality of tablet computer wireless channel identification information, the plurality of tablet computer wireless channel frequency domain characteristic information, the plurality of tablet computer wireless channel time and space characteristic information, and the plurality of tablet computer wireless communication channel adaptation parameter information; a target tablet computer wireless communication channel parameter combination information generation module, configured to screen and optimize the plurality of candidate tablet computer wireless communication channel parameter combination information to generate the target tablet computer wireless communication channel parameter combination information; The target tablet computer wireless communication channel identification information generation module is used to perform channel search based on the target tablet computer wireless communication channel parameter combination information to obtain the target tablet computer wireless communication channel identification information so that the tablet computer can perform wireless communication through the tablet computer wireless communication channel corresponding to the target tablet computer wireless communication channel identification information.

9. A terminal device, characterized in that: The terminal device includes a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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