Array optimization-based 6G / 5GWiFi MiMo antenna system and control method

Abstract

The invention discloses a MiMo antenna system of 6G / 5G WiFi based on array optimization, and the system comprises an antenna array unit which comprises at least two sub-arrays which are different in at least one of a working frequency band, an array element geometric spacing, an array form, a polarization mode or a physical space distribution position; the channel sensing unit is used for acquiring spatial propagation characteristic parameters related to a current wireless channel; the array configuration control unit is used for determining a target array configuration mode in a plurality of predefined array configuration modes and generating array configuration control information; and the radio frequency signal processing unit is used for controlling at least one sub-array to participate in communication or adjusting the signal weight of the sub-array so as to reconstruct the equivalent spatial characteristics of the antenna array, so that the channel capacity or the space coverage performance is optimized in different communication environments. According to the invention, adaptive reconstruction of the antenna array is realized from the array structure and function level, the spatial correlation can be reduced, and the communication performance can be improved.

Description

Technical Field

[0001] This application relates to the field of MiMo antenna equipment technology, specifically to a 6G / 5G WiFi MiMo antenna system and control method based on array optimization. Background Technology

[0002] Multiple-input multiple-output (MIMO) antenna technology, as an important means to improve the spectrum efficiency and spatial multiplexing capability of wireless communication systems, has been widely used in various wireless communication scenarios such as 5G / 6G WiFi.

[0003] In existing technologies, for ease of design and implementation, MIMO antenna systems typically employ a completely isomorphic regular array structure. This means that each antenna element maintains consistency in operating frequency band, geometric spacing, array shape, and polarization, and is arranged in a fixed array topology. Such isomorphic regular arrays can achieve relatively stable performance under ideal or static communication environments, and are therefore widely used in base stations, wireless access points, and terminal devices.

[0004] However, in practical applications, wireless communication environments are often highly dynamic. For example, there may be switching between indoor and outdoor environments, changes in direct propagation and multipath propagation conditions, and changes in terminal posture due to user operations. Under these complex environmental conditions, a fixed array topology can easily lead to increased spatial correlation between different array elements or different antenna ports in the antenna array, thereby reducing the effective degrees of freedom of the MIMO channel and limiting the spatial multiplexing capability and channel capacity of the system.

[0005] To address the aforementioned issues, existing array optimization methods primarily focus on radio frequency parameter adjustment or beamforming techniques. For example, adjusting the feed phase, amplitude weighting, or employing digital precoding algorithms can improve beam directivity and coverage performance. However, these optimization methods typically adjust parameters based on a given array structure, failing to reconstruct the array system from the perspective of antenna array structure and its functional allocation. Consequently, the array optimization effect is somewhat limited when facing complex and ever-changing communication environments.

[0006] Therefore, there is an urgent need for a MiMo antenna system that can achieve adaptive reconfiguration of the MiMo antenna array under different communication environments from the perspective of array structure and function, so as to reduce spatial correlation, make full use of array degrees of freedom and improve overall communication performance. Summary of the Invention

[0007] Purpose of the invention: In order to overcome the above shortcomings, the purpose of this application is to provide a 6G / 5G WiFi MiMo antenna system and control method based on array optimization. It can realize the adaptive reconfiguration of the MiMo antenna array in different communication environments from the perspective of array structure and function, without significantly increasing system complexity and hardware cost, so as to reduce spatial correlation, make full use of array degrees of freedom and improve overall communication performance.

[0008] To address the aforementioned technical problems, this application provides a 6G / 5G WiFi MIMO antenna system based on array optimization, comprising: An antenna array unit includes at least two subarrays, wherein the at least two subarrays differ in at least one of the following: operating frequency band configuration, element geometric spacing, array morphology, polarization mode, or physical spatial distribution location, thereby forming a heterogeneous subarray with functional partitioning characteristics. A channel sensing unit is configured to acquire spatial propagation characteristic parameters related to the current wireless channel during communication. The spatial propagation characteristic parameters include at least channel state information, received signal strength, multipath propagation characteristics, or spatial direction statistics. An array configuration control unit, communicatively connected to the channel sensing unit, is configured to determine a target array configuration mode from multiple predefined array configuration modes based on the spatial propagation characteristic parameters and generate corresponding array configuration control information; and... The radio frequency signal processing unit is configured to determine the corresponding array control strategy for the current communication environment based on the array configuration control information generated by the array configuration control unit, and then control at least one subarray to participate in communication or adjust its signal weight according to the array control strategy, thereby reconstructing the equivalent spatial characteristics of the antenna array unit, thereby optimizing the MiMo channel capacity or spatial coverage performance under different communication environments.

[0009] In some preferred embodiments of this application, the antenna array unit includes: The first subarray, which is configured as a wideband or low-band communication subarray, is used to improve spatial coverage and multipath adaptability. The second subarray is configured as a highly directional or high-frequency communication subarray to form a high-gain beam or enhance spatial multiplexing capability. This allows the antenna array unit to switch performance priorities by selecting different subarrays in different communication scenarios.

[0010] In some preferred embodiments of this application, the at least two subarrays are respectively disposed on different physical regions, different height positions or different curved surface structures of the terminal device or communication node to form a non-coplanar spatial distribution structure, thereby reducing electromagnetic mutual coupling between arrays through physical spatial dispersion.

[0011] In some preferred embodiments of this application, the channel sensing unit is configured to acquire one or more of the following spatial propagation characteristic parameters: correlation index of the channel matrix, multipath delay spread, main energy arrival direction distribution, signal power spatial distribution characteristics, and communication terminal attitude change information, and input the spatial propagation characteristic parameters to the array configuration control unit.

[0012] In some preferred embodiments of this application, the array configuration control unit is configured to define and support multiple array operating modes, which at least include a coverage enhancement mode, a capacity priority mode, and a low-power stable communication mode; wherein, The array configuration control information generated in coverage enhancement mode is used to activate spatially dispersed subarrays or reduce the spatial correlation between subarrays. The array configuration control information generated in capacity-first mode is used to activate highly directional subarrays or enhance the cooperative work between subarrays. The array configuration control information generated in the low-power stable communication mode is used to reduce the number of subarrays participating in communication or to reduce signal weights in order to reduce power consumption and maintain stable communication.

[0013] In some preferred embodiments of this application, the array configuration control unit is further configured to enable cooperative operation between subarrays through a digital precoding matrix, a radio frequency switch network, or a reconfigurable feed network when at least two subarrays are activated simultaneously, so that multiple subarrays can form an equivalent large-scale array structure or a low-correlation array structure in space.

[0014] This application also provides a MIMO antenna control method for 6G / 5G WiFi based on array optimization using the above system, the method comprising: S1: Obtain spatial propagation characteristic parameters related to the wireless channel during the current communication process. The spatial propagation characteristic parameters include at least channel state information, received signal strength, multipath propagation characteristics, or spatial direction statistics. S2: Based on the obtained spatial propagation characteristic parameters, analyze the spatial propagation state of the current communication environment and select the target array configuration mode that matches the spatial propagation state from multiple predefined array configuration modes; S3: Generate corresponding array configuration control information based on the selected target array configuration mode; S4: Select the corresponding array control strategy for the current communication environment according to the array configuration control information, and control at least one subarray to participate in communication or adjust its signal weight according to the array control strategy, so as to reconstruct the equivalent spatial characteristics of the antenna array element, thereby optimizing the MIMO channel capacity or spatial coverage performance under different communication environments.

[0015] In some preferred embodiments of this application, in step S1, the method for obtaining spatial propagation characteristic parameters includes: S11: During uplink or downlink communication, the received signal is measured to obtain channel matrix information; S12: Calculate the channel correlation matrix based on the channel matrix information and generate the spatial correlation parameters of the channel matrix information based on the size of the off-diagonal elements of the correlation matrix; S13: Calculate the mean delay based on the channel matrix information: Then, the root mean square delay spread is calculated: ,in For the number of multipaths, For the first Complex gain of a multipath, For the first The propagation delay of each multipath path is used to generate multipath delay spread parameters; S14: Calculate the spatial spectrum function based on the channel matrix information and using the direction-of-arrival estimation method through the scanning angle: ,in The direction indicates the scanning angle. Spatial power spectrum over time This is the channel correlation matrix at the MiMo antenna receiver. This refers to the array guidance amount in the corresponding direction. For the channel matrix; then by... Perform a search to generate the distribution parameters of the main energy arrival direction; S15: Calculate the spatial distribution characteristics of signal power based on the channel matrix information: ,in Let be the received power corresponding to the i-th MiMo antenna receiver. Let be the element in the i-th row and j-th column of the channel matrix. This refers to the number of transmitting antennas at the MIMO antenna transmitter. S16: Calculate the communication terminal attitude change information based on the channel matrix information; S17: The obtained channel correlation parameters, multipath delay spread parameters, main energy arrival direction distribution parameters, signal power spatial distribution characteristics, or communication terminal attitude change parameters are used as the spatial propagation characteristic parameters.

[0016] In some preferred embodiments of this application, in step S2, the method for determining the target array configuration mode among multiple predefined array configuration modes includes: S21: Match the acquired spatial propagation feature parameters with the pre-stored array configuration mode decision conditions; S22: When the communication environment characterized by the spatial propagation characteristic parameters is multipath dominant or has high coverage requirements, the first subarray configured as a wideband or low-frequency band communication subarray is selected as the main communication subarray to participate in communication, thereby improving spatial coverage and multipath adaptability. S23: When the communication environment characterized by the spatial propagation characteristic parameters is direct-light dominant or there is a high throughput requirement, the second subarray configured as a high-directivity or high-frequency band communication subarray is selected as the main communication subarray to participate in communication, thereby forming a high-gain beam or improving spatial multiplexing capability, and realizing the performance focus switching under different communication scenarios.

[0017] In some preferred embodiments of this application, the method for controlling the subarray to participate in communication according to the array control strategy in step S4 includes: Step S41: Based on the selected target array configuration mode, select at least one subarray from at least two subarrays as the current communication subarray; Step S42: Deactivate or reduce the signal weight of unselected subarrays; Step S43: Assign corresponding power supply paths or signal weights to the selected subarrays so that the selected subarrays form the desired array equivalent spatial structure in the current communication environment.

[0018] The technical solution described in this application has the following advantages over the prior art: 1. By constructing heterogeneous subarrays with functional partitioning characteristics and combining them with spatial propagation characteristic parameters obtained by the channel sensing unit, the system can dynamically select or combine subarrays to participate in communication under different communication environments, so that the equivalent spatial characteristics of the antenna array are highly matched with the actual channel conditions, thereby effectively improving the MiMo channel capacity or spatial coverage performance.

[0019] 2. By setting up wideband / low-frequency subarrays and high-directivity / high-frequency subarrays, and supporting the switching of multiple array working modes, the system prioritizes coverage capabilities in scenarios with abundant multipath, severe obstruction, or long-distance communication, and prioritizes improving spatial reuse and link capacity in scenarios with line-of-sight dominance or high throughput requirements, significantly enhancing the adaptability of the MiMo system to complex application scenarios.

[0020] 3. By setting multiple subarrays on different physical regions, different heights, or different curved surfaces, a non-coplanar spatial distribution structure is formed. Combined with array configuration control strategies, the spatial correlation between subarrays is reduced, effectively suppressing electromagnetic mutual coupling between arrays.

[0021] 4. The channel sensing unit not only acquires traditional channel state information, but also introduces multi-dimensional parameters such as channel correlation, multipath delay spread, main energy arrival direction distribution, power spatial distribution, and terminal attitude change, providing a more comprehensive and refined environmental characterization for the array configuration control unit, thereby significantly improving the accuracy of array mode selection and control strategy generation.

[0022] 5. This application achieves dynamic optimization of array performance by selectively activating and coordinating the subarrays, avoiding dependence on a single large-scale high-density array. While improving communication performance, it does not require additional RF links or hardware complexity, thus offering a significant cost advantage. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0024] Figure 1 This is a schematic diagram of the module connection of the MiMo antenna system provided in the embodiments of this application.

[0025] Figure 2 This is a schematic diagram of the MiMo antenna system provided in the embodiments of this application.

[0026] Figure 3 This is a schematic diagram of the architecture of the MiMo antenna system provided in the embodiments of this application.

[0027] Figure 4 This is a flowchart illustrating the MiMo antenna control method provided in the embodiments of this application.

[0028] Figure 5 This is a flowchart illustrating the method for obtaining spatial propagation characteristic parameters provided in an embodiment of this application.

[0029] Figure 6 This is a flowchart illustrating the method for determining the target array configuration mode provided in an embodiment of this application.

[0030] Figure 7 This is a flowchart illustrating the communication method for the control subarray provided in an embodiment of this application. Detailed Implementation

[0031] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0032] With the continuous evolution of 5G / 6G WiFi, wireless communication systems are placing higher demands on transmission rates, system capacity, and spatial coverage performance, and are constantly developing towards higher frequency bands, larger bandwidths, and more antenna ports. Multiple Input Multiple Output (MIMO) antenna technology, as an important means to improve the spectral efficiency and spatial multiplexing capability of wireless communication systems, has been widely used in various wireless communication scenarios such as 5G / 6G WiFi.

[0033] In existing technologies, for ease of design and implementation, MIMO antenna systems typically employ a completely isomorphic regular array structure. This means that each antenna element maintains consistency in operating frequency band, geometric spacing, array shape, and polarization, and is arranged in a fixed array topology. Such isomorphic regular arrays can achieve relatively stable performance under ideal or static communication environments, and are therefore widely used in base stations, wireless access points, and terminal devices.

[0034] However, in practical applications, wireless communication environments often exhibit significant dynamic characteristics. For example, different usage scenarios may involve switching between indoor and outdoor environments, changes in direct and multipath propagation conditions, and changes in terminal posture due to user operations. Under these complex environmental conditions, a fixed array topology can easily lead to increased spatial correlation between different array elements or antenna ports, thereby reducing the effective degrees of freedom of the MIMO channel and limiting the system's spatial multiplexing capability and channel capacity. Furthermore, as terminal device size becomes increasingly limited and the number of antennas continues to increase, the electromagnetic coupling problem within the antenna array becomes increasingly prominent. In a completely isomorphic regular array structure, the relative positions between array elements are fixed, making it difficult to flexibly adjust the spatial distribution characteristics of the array for different communication environments, further exacerbating array correlation and performance degradation problems.

[0035] To address the aforementioned issues, existing array optimization methods primarily focus on radio frequency parameter adjustment or beamforming techniques. For example, adjusting the feed phase, amplitude weighting, or employing digital precoding algorithms can improve beam directivity and coverage performance. However, these optimization methods typically adjust parameters based on a given array structure, failing to reconstruct the array system from the perspective of antenna array structure and its functional allocation. Consequently, the array optimization effect has certain limitations when facing complex and ever-changing communication environments.

[0036] Therefore, in order to solve the aforementioned existing technical problems, [reference needed]. Figures 1 to 3 As shown, in some embodiments, this application relates to a MiMo antenna system for 6G / 5G WiFi based on array optimization, wherein the MiMo antenna system includes at least an antenna array unit, a channel sensing unit, an array configuration control unit, and a radio frequency signal processing unit.

[0037] An antenna array unit includes at least two subarrays that differ from each other in structural parameters and electromagnetic characteristics. Specifically, the at least two subarrays differ in at least one of the following: operating frequency band configuration, element geometric spacing, array morphology, polarization mode, or physical spatial distribution location, thereby forming a heterogeneous subarray system with functional partitioning characteristics.

[0038] Specifically, by dividing the antenna array unit into multiple subarrays with different communication characteristics, the same antenna array unit can participate in communication under different communication environments and service requirements by selecting different subarrays or combinations of different subarrays, thereby achieving dynamic switching of array performance focus; the antenna array unit can introduce diverse array characteristics at the physical level, effectively reduce array spatial correlation, improve array utilization freedom, and provide a foundation for MIMo system performance optimization from a structural level.

[0039] In some examples of this application, the antenna array unit includes a first subarray and a second subarray, and the first subarray and the second subarray differ in their operating frequency band configuration; specifically: The first subarray is configured to cover a lower frequency band or a wider bandwidth. Its element size is relatively large, and its bandwidth characteristics are wide, making it suitable for low-frequency 5G WiFi communication scenarios to improve spatial coverage and multipath adaptability. The second subarray is configured to cover a higher frequency band. Its element size is relatively small, making it suitable for high-frequency 5G and 6G WiFi communication scenarios to form more directional beams or improve spatial multiplexing capabilities.

[0040] Therefore, during the communication process, the corresponding subarray can be selected to participate in the communication based on the current operating frequency band or service requirements, thus avoiding the problem of the same array having limited performance in multiple frequency bands.

[0041] In some examples of this application, the antenna array element includes a first subarray and a second subarray, and the first subarray and the second subarray differ in the geometric spacing between their elements; specifically: The geometric spacing of the elements in the first subarray is set to a non-compact spacing greater than half a wavelength to reduce electromagnetic mutual coupling between elements and enhance spatial dispersion, thus making it suitable for communication environments with complex multipath or high spatial correlation; the geometric spacing of the elements in the second subarray is set to a spacing close to half a wavelength or more regular to facilitate the formation of highly directional beams, making it suitable for communication environments with direct beam dominance or high throughput requirements.

[0042] Thus, by differentiating the geometric spacing of the array elements, different subarrays can have different focuses in terms of spatial correlation suppression and beamforming capabilities.

[0043] In some examples of this application, the antenna array unit includes a first subarray and a second subarray, and the first subarray and the second subarray differ in their array morphology and structure; specifically: The first subarray adopts a linear or area array structure to achieve more uniform spatial coverage; the second subarray adopts a ring array, irregular array, or three-dimensional array structure to enhance the signal gain in a certain direction or a certain spatial region.

[0044] The combination of different array shapes and structures makes the entire antenna array unit more flexible in terms of spatial radiation characteristics, thereby improving its adaptability to different communication scenarios.

[0045] In some examples of this application, the antenna array unit includes a first subarray and a second subarray, and the first subarray and the second subarray differ in their polarization; specifically: The first subarray uses a single linear polarization to achieve simple and stable communication; the second subarray uses dual polarization or cross polarization to improve polarization diversity and reduce polarization correlation, thereby enhancing the spatial multiplexing capability of the MiMo system.

[0046] Therefore, by differentiating the polarization configuration, the array's degrees of freedom can be further expanded without increasing the number of additional physical antennas.

[0047] In some examples of this application, the antenna array unit includes a first subarray and a second subarray, which differ in different physical spatial locations; specifically, the first subarray and the second subarray are respectively arranged on different sides, different height positions or different curved surface structures of the device housing, thereby forming a non-coplanar spatial distribution structure.

[0048] This reduces electromagnetic coupling between subarrays by physically distributing them, and increases the spatial diversity of the arrays. Furthermore, when the terminal device changes its orientation, subarrays in different spatial locations can exhibit different radiation characteristics, thus ensuring that at least some subarrays are always in a better communication state.

[0049] In any of the above example embodiments, the subarrays differ not only in structural parameters but also in functional roles, thus forming a heterogeneous subarray system with functional partitioning characteristics. For example, some subarrays may be configured to prioritize coverage enhancement or multipath adaptation, while others may be configured to prioritize capacity improvement or highly directional communication. During actual communication, the array configuration control unit can select one or more subarrays to participate in communication based on the current communication environment, or adjust the signal weights of different subarrays to achieve dynamic optimization of array performance.

[0050] The channel sensing unit is configured to acquire spatial propagation characteristic parameters related to the current wireless channel during communication and to provide an environmental awareness basis for the adaptive configuration of the antenna array unit. The spatial propagation characteristic parameters include at least channel state information, received signal strength, multipath propagation characteristics, or spatial direction statistics.

[0051] Specifically, the channel sensing unit is located in the wireless communication link and can measure, analyze or estimate the received signal during uplink communication, downlink communication or bidirectional communication to extract multi-dimensional feature parameters that reflect the spatial propagation state of the wireless channel, and then output the acquired spatial propagation feature parameters to the array configuration control unit.

[0052] It should be noted that the channel sensing unit can be implemented as a hardware module, a software module, or a combination of hardware and software, and its specific implementation does not constitute a limitation of this application.

[0053] In some examples of this application, the channel sensing unit is configured to acquire channel state information (CSI).

[0054] Specifically, during communication, the channel sensing unit can perform channel estimation on the received signal based on pilot signals, reference signals, or known training sequences to obtain a channel matrix representing the channel characteristics between the transmitter and receiver. Then, based on the channel matrix, the channel sensing unit further calculates correlation indices, such as spatial correlation coefficients or eigenvalue distributions between different antenna ports, to reflect the degree of spatial independence between different array elements or subarrays in the array. These channel matrix correlation indices can serve as one of the important parameters for evaluating whether the current array structure is suitable for the current communication environment.

[0055] In some examples of this application, the channel sensing unit is configured to measure received signal strength information.

[0056] Specifically, the channel sensing unit can obtain the power distribution of the signal on different antenna ports or different subarrays by measuring the received signal strength indication (RSSI) or equivalent power value of each receiving antenna port; then, by statistically or normally processing the above power information, the spatial distribution characteristics of the signal power can be further obtained, which can reflect the degree of concentration or dispersion of the signal in space, and help to determine whether there is an obvious main propagation direction or blockage in the current communication environment.

[0057] In some examples of this application, the channel sensing unit is configured to acquire multipath propagation characteristics.

[0058] Specifically, the channel sensing unit performs time-domain or frequency-domain analysis on the received signal to extract the delay distribution of multipath components and calculate multipath delay spread parameters to reflect the severity of multipath in the current communication environment. The multipath delay spread parameters can be used to determine whether the current communication environment is a multipath-rich scenario, thereby providing a basis for the array configuration control unit to select between coverage enhancement mode and capacity priority mode. The spatial distribution characteristics of the signal power help to determine whether there is a significant main propagation direction or blockage in the current communication environment.

[0059] In some examples of this application, the channel sensing unit is configured to acquire spatial orientation statistics.

[0060] Specifically, the channel sensing unit can calculate the signal arrival direction distribution based on the phase difference or amplitude difference of the received signals from the array using a direction estimation method, thereby determining the main energy arrival direction or multiple significant propagation directions; the spatial direction statistics can be used to characterize the directional concentration or dispersion of signals in the current communication environment. Furthermore, when a clear main energy arrival direction exists, the array configuration control unit can preferentially select subarrays with high directivity characteristics to participate in communication.

[0061] In some examples of this application, the channel sensing unit is also configured to acquire attitude change information of the communication terminal.

[0062] Specifically, the channel sensing unit can obtain the attitude change during communication by interacting with the attitude sensor, accelerometer or gyroscope inside the MiMo antenna; the attitude change information can be used as part of the spatial propagation characteristic parameters to help determine the relative relationship between the antenna array and the external propagation environment.

[0063] Therefore, the channel sensing unit can input one or more of the acquired channel matrix correlation index, multipath delay spread parameter, main energy arrival direction distribution, signal power spatial distribution characteristics, and communication terminal attitude change information as spatial propagation characteristic parameters to the array configuration control unit.

[0064] An array configuration control unit is communicatively connected to the channel sensing unit. The array configuration control unit is configured to determine a target array configuration mode from multiple predefined array configuration modes and generate corresponding array configuration control information based on the spatial propagation characteristic parameters.

[0065] Specifically, the array configuration control unit is configured to receive spatial propagation characteristic parameters output by the channel sensing unit and analyze and judge the current communication environment based on the spatial propagation characteristic parameters. After analyzing the current communication environment, the array configuration control unit determines a target array configuration mode that matches the current communication environment from multiple predefined array configuration modes and generates array configuration control information corresponding to the target array configuration mode. The array configuration control unit can be implemented using a processor, control logic circuit, programmable logic device, or software control module, and its specific implementation does not constitute a limitation of this invention.

[0066] In some examples of this application, the array configuration control unit is configured to define and support multiple array operating modes, which include at least a coverage enhancement mode, a capacity priority mode, and a low-power stable communication mode, specifically: In coverage enhancement mode, the array configuration control information generated by the array configuration control unit is used to improve the spatial coverage capability and multipath adaptability of the antenna array. For example, the array configuration control unit can determine whether the current communication environment is a multipath-rich or insufficient coverage scenario based on multipath delay spread, signal power spatial distribution characteristics, or channel correlation indicators in the spatial propagation characteristic parameters. In the coverage enhancement mode, the array configuration control information can be used to activate spatially distributed subarrays or apply differentiated signal weight configurations to different subarrays to reduce the spatial correlation between subarrays, thereby improving the coverage range.

[0067] In capacity-first mode, the array configuration control information generated by the array configuration control unit is used to improve the channel capacity and spatial multiplexing capability of the MiMo system. Specifically, in capacity-first mode, the array configuration control unit can determine whether the current communication environment is suitable for high spatial multiplexing communication based on spatial direction statistics, main energy arrival direction distribution, or eigenvalue distribution of the channel matrix. Correspondingly, the array configuration control information can be used to activate subarrays with high directivity or high element density, or to enable multiple subarrays to work together in space by jointly controlling the signal weights of multiple subarrays to form an equivalent large-scale array structure or a low-correlation array structure, thereby maximizing the utilization efficiency of array degrees of freedom in a communication environment with good spatial resource conditions.

[0068] In the low-power stable communication mode, the array configuration control information generated by the array configuration control unit is used to reduce system power consumption while ensuring communication stability. For example, when the spatial propagation characteristic parameters indicate that the current channel conditions are stable, the channel changes slowly, or the service data rate requirement is low, the array configuration control unit may choose to enter the low-power stable communication mode. In the low-power stable communication mode, the array configuration control information can be used to reduce the number of subarrays participating in communication or reduce the signal weight of some subarrays, thereby reducing the power consumption of the radio frequency link and signal processing module.

[0069] Therefore, in any of the above array operating modes, the array configuration control information generated by the array configuration control unit includes at least one of the following: subarray activation or shutdown indication information, signal weight allocation strategy for each subarray, cooperative working parameters between subarrays, or array equivalent geometric structure parameters.

[0070] It should be noted that the above-mentioned array operating modes can be preset by the designer during the system design phase, or can be expanded or adjusted by the designer during operation through software upgrades or parameter configurations. The specific number and name of these modes do not constitute a limitation of this invention.

[0071] The radio frequency signal processing unit is configured to determine the corresponding array control strategy for the current communication environment based on the array configuration control information generated by the array configuration control unit, and then control at least one subarray to participate in communication or adjust its signal weight according to the array control strategy, thereby reconstructing the equivalent spatial characteristics of the antenna array unit, thereby optimizing the MiMo channel capacity or spatial coverage performance under different communication environments.

[0072] Specifically, the radio frequency (RF) signal processing unit is used to process the transmitted and received signals at the RF level and to perform the physical control functions of the antenna array. The RF signal processing unit includes one or more of the following: an RF transceiver link, a power amplification module, a low-noise amplification module, a variable gain amplifier, a phase control module, an RF switching network, or a reconfigurable feed network; its specific structural form is not limited by this invention. Therefore, the RF signal processing unit is configured to receive array configuration control information output by the array configuration control unit and parse this information into specific array control strategies.

[0073] In practical implementation, the radio frequency (RF) signal processing unit determines the array control strategy under the current communication environment based on the array configuration control information. This array control strategy instructs the RF signal processing unit to select, combine, or adjust the weights of multiple subarrays. For example, the array control strategy may include subarray activation or deactivation commands, subarray signal weight allocation schemes, subarray cooperative working parameters, or array equivalent geometric structure control parameters. Therefore, after parsing the array configuration control information, the RF signal processing unit executes corresponding RF control operations according to the array control strategy.

[0074] In some examples of this application, the radio frequency signal processing unit controls at least one subarray to participate in communication according to the array control strategy. Specifically, in coverage enhancement mode or low-power stable communication mode, the radio frequency signal processing unit can activate only some subarrays and put the other subarrays into standby or off state, thereby reducing power consumption while ensuring communication quality; in capacity priority mode, the radio frequency signal processing unit can activate multiple subarrays simultaneously to increase the degree of freedom of the arrays participating in communication. Thus, by dynamically controlling the communication participation state of the subarrays, the usage of array resources can be flexibly adjusted.

[0075] In some examples of this application, the radio frequency signal processing unit applies different signal weights to the subarrays participating in communication according to the array control strategy. These signal weights may include signal amplitude weights, phase weights, or a combination thereof, used to change the contribution ratio of different subarrays to the overall array radiation. The radio frequency signal processing unit can dynamically adjust the subarray signal weights through a variable gain amplifier, a phase control module, or a digital precoding module. Therefore, by configuring the subarray signal weights, the equivalent radiation characteristics of the antenna array can be dynamically reconstructed without changing the physical structure.

[0076] In any of the examples described above in this application, by jointly controlling the communication state and signal weights of the subarrays, the radio frequency signal processing unit can reconstruct the equivalent spatial characteristics of the antenna array elements. Specifically, by activating spatially distributed subarrays and applying differentiated weights, array correlation can be reduced and spatial diversity improved. By activating highly directional subarrays and enhancing their signal weights, narrow beams can be formed to improve array gain and spatial multiplexing capability. The equivalent spatial characteristics include, but are not limited to, array aperture size, beamwidth, main lobe direction, sidelobe level, and array correlation level.

[0077] In some examples of this application, the radio frequency signal processing unit can also dynamically adjust the array control strategy according to the real-time update instructions of the array configuration control unit during communication. Specifically, when the communication environment changes or the spatial propagation characteristic parameters are updated, the radio frequency signal processing unit can smoothly switch the participation status or signal weight configuration of the subarrays without interrupting communication.

[0078] In some embodiments of this application, at least two subarrays in the antenna array unit are simultaneously activated under specific communication scenarios and participate in communication in a cooperative manner under the control of the array configuration control unit, so as to achieve joint utilization of the spatial characteristics of the subarrays, thereby constructing an equivalent array structure and optimizing MiMo communication performance.

[0079] Specifically, in this embodiment, the array configuration control unit determines whether the current communication environment meets the triggering conditions for subarray collaborative operation based on the spatial propagation characteristic parameters obtained by the channel sensing unit. For example, when it is detected that the current communication environment has high requirements for channel capacity or spatial multiplexing capability, or that a single subarray is difficult to meet coverage and capacity requirements at the same time, the array configuration control unit generates array configuration control information for multi-subarray collaborative operation.

[0080] The array configuration control information is used to instruct the radio frequency signal processing unit to establish a cooperative relationship among multiple subarrays. Specifically, the radio frequency signal processing unit can jointly configure the signal phase, amplitude, or feed path of different subarrays through a digital precoding matrix, a radio frequency switch network, or a reconfigurable feed network, so that multiple subarrays can form an equivalent large-scale array structure or a low-correlation array structure in space.

[0081] In one example of this application, the first subarray and the second subarray are arranged at different physical locations or heights of the device, with a large spatial spacing between their array elements. In cooperative operation, the array configuration control unit simultaneously applies predetermined signal weights to the first and second subarrays, causing the two subarrays to jointly form an expanded array aperture in space, thereby improving the array's angular resolution or beam directivity.

[0082] In another example of this application, the first subarray is configured as a low-frequency or broadband subarray, and the second subarray is configured as a high-frequency or highly directional subarray. In cooperative operation, by differentially configuring the signal weights of the subarrays, the low-frequency subarray primarily undertakes spatial coverage functions, while the high-frequency subarray primarily undertakes capacity enhancement functions, thereby achieving coordinated optimization of coverage and capacity.

[0083] It should be noted that during the aforementioned subarray collaborative operation, the physical spatial positions of each subarray remain unchanged, and the collaborative effect of the array is achieved through joint control at the signal layer. This allows for dynamic changes to the equivalent geometry and spatial degrees of freedom of the antenna array without increasing the number of antennas or introducing complex mechanical structures.

[0084] Through the above implementation methods, this application can flexibly enable multiple heterogeneous subarrays to work together in different communication environments, so that the antenna array unit can achieve comprehensive performance improvement in terms of spatial coverage, channel capacity and spatial correlation suppression, and further enhance the adaptability of the MiMo antenna system in wireless communication scenarios such as 5G / 6G WiFi.

[0085] In some embodiments of this application, the array configuration control unit is further configured to enable cooperative operation between subarrays through a digital precoding matrix, a radio frequency switch network, or a reconfigurable feed network when at least two subarrays are activated simultaneously, so that multiple subarrays can form an equivalent large-scale array structure or a low-correlation array structure in space.

[0086] Specifically, after determining the target array configuration mode, the array configuration control unit further determines whether the current array configuration mode requires multiple subarrays to cooperate in communication. For example, when the array configuration control unit determines, based on spatial propagation characteristic parameters, that the current communication environment has high requirements for channel capacity, angular resolution, or spatial multiplexing capability, the array configuration control unit can trigger a multi-subarray cooperative working mechanism. The triggering condition can be comprehensively determined based on one or more of the following: channel matrix correlation index, main energy arrival direction distribution, multipath propagation characteristics, or service requirement parameters. The specific determination rules do not constitute a limitation of this invention.

[0087] In one example of this application, the array configuration control unit enables collaborative operation among multiple subarrays by generating a digital precoding matrix.

[0088] Specifically, the array configuration control unit constructs a joint digital precoding matrix for multiple subarrays based on the spatial distribution location, array morphology, and current spatial propagation characteristic parameters of each subarray. The digital precoding matrix is ​​used to apply joint phase and amplitude control to the transmitted or received signals of different subarrays, so that multiple subarrays appear as a unified equivalent array in space. As a result, multiple physically dispersed subarrays form an equivalent large-scale array aperture at the signal level, thereby improving the spatial resolution and channel capacity of the array.

[0089] In one example of this application, the array configuration control unit enables collaborative operation between subarrays through a radio frequency switch network.

[0090] Specifically, the array configuration control unit can control the radio frequency switch network to dynamically switch the radio frequency link connection relationship between different subarrays, so that multiple subarrays can share the radio frequency signal processing path at different times or on different subcarrier resources. By reasonably configuring the connection status of the radio frequency switch network, time-domain or frequency-domain collaboration between subarrays can be achieved while keeping the hardware complexity low.

[0091] In one example of this application, the array configuration control unit enables collaborative operation between subarrays through a reconfigurable power supply network.

[0092] Specifically, the reconfigurable power supply network can dynamically change the power supply path, power supply phase, or power supply amplitude distribution between different subarrays based on the control information generated by the array configuration control unit, so that multiple subarrays can form different equivalent array structures in space. For example, when it is necessary to reduce array correlation, the power supply network can be adjusted to make different subarrays form a low-correlation array structure; when it is necessary to improve directivity or capacity, the power supply network can be adjusted to make different subarrays form an equivalent large-scale array structure.

[0093] Thus, in any of the above examples of the cooperative approach, multiple subarrays can form equivalent array structures of different types in space through joint control of the subarray signals.

[0094] For example, multiple subarrays can spatially form an equivalent large-scale array structure, improving beam directivity and angular resolution by expanding the array aperture and the number of array elements. Alternatively, multiple subarrays can spatially form a low-correlation array structure, reducing array correlation and enhancing the spatial multiplexing capability of the MIMo system by increasing array spatial dispersion or polarization diversity. Thus, the equivalent array structure can dynamically switch between different types according to the current communication environment.

[0095] Therefore, for reference Figure 4As shown. This application also relates to an array-optimized 6G / 5G WiFi MiMo antenna control method using the system described in any of the above embodiments, the method comprising: S1: Obtain spatial propagation characteristic parameters related to the wireless channel during the current communication process. The spatial propagation characteristic parameters include at least channel state information, received signal strength, multipath propagation characteristics, or spatial direction statistics.

[0096] Specifically, during communication, the channel sensing unit measures and analyzes the uplink or downlink received signals to obtain one or more of the following: channel state information, received signal strength, multipath propagation characteristics, or spatial direction statistics.

[0097] refer to Figure 5 As shown. In some examples of this application, in step S1, the method for obtaining spatial propagation characteristic parameters includes: S11: During uplink or downlink communication, the channel sensing unit measures the received signal to obtain the channel matrix information corresponding to the MiMo system.

[0098] Specifically, the channel sensing unit can use pilot signals, reference signals, or training sequences to estimate the wireless channel between the transmitter and receiver, thereby obtaining a channel matrix H representing the complex channel gain relationship between the transmit and receive antennas. The dimension of the channel matrix H is... ,in Indicates the number of antennas at the receiving end. This indicates the number of antennas at the transmitting end.

[0099] S12: The channel sensing unit calculates the channel correlation matrix based on the channel matrix information and generates the spatial correlation parameters of the channel matrix information based on the size of the off-diagonal elements of the correlation matrix.

[0100] Specifically, the receiver channel correlation matrix can be calculated based on the channel matrix H: ,in The receiver channel correlation matrix is... Let E be the conjugate transpose of the channel matrix and E be the statistical expectation. By analyzing the magnitude of the off-diagonal elements in the correlation matrix, a spatial correlation parameter is generated to characterize the degree of spatial correlation between different receiving antennas or subarrays. Specifically, the larger the magnitude of the off-diagonal element, the higher the correlation between arrays; conversely, the smaller the magnitude, the better the spatial independence.

[0101] S13: Calculate the mean delay based on the channel matrix information: Then, the root mean square delay spread is calculated: ,in For the number of multipaths, For the first Complex gain of a multipath, For the first The propagation delay of each multipath path is used to generate multipath delay extension parameters.

[0102] S14: Calculate the spatial spectrum function based on the channel matrix information and using the direction-of-arrival estimation method through the scanning angle: ,in The direction indicates the scanning angle. Spatial power spectrum over time This is the channel correlation matrix at the MiMo antenna receiver. This refers to the array guidance amount in the corresponding direction. For the channel matrix; then by... A search is performed to determine the peak position of the spatial power spectrum, thereby generating the main energy arrival direction distribution parameters, which are used to characterize the main propagation direction of the wireless signal in space.

[0103] S15: Calculate the spatial distribution characteristics of signal power based on the channel matrix information: ,in Let be the received power corresponding to the i-th MiMo antenna receiver. Let be the element in the i-th row and j-th column of the channel matrix. This represents the number of transmitting antennas at the MIMO antenna transmitter; by comparing the received power of different receiving antennas, the spatial distribution characteristics of the signal power can be obtained.

[0104] S16: Calculate the communication terminal attitude change information based on the channel matrix information.

[0105] Specifically, by analyzing the changes in the characteristic parameters of the channel matrix at consecutive time intervals, the rotation, tilt, or displacement of the communication terminal in space can be inferred, thereby generating terminal attitude change information to reflect the spatial relationship changes of the antenna array relative to the propagation environment.

[0106] S17: The obtained channel correlation parameters, multipath delay spread parameters, main energy arrival direction distribution parameters, signal power spatial distribution characteristics, or communication terminal attitude change parameters are used as the spatial propagation characteristic parameters.

[0107] S2: Based on the obtained spatial propagation characteristic parameters, analyze the spatial propagation state of the current communication environment and select the target array configuration mode that matches the spatial propagation state from multiple predefined array configuration modes.

[0108] Specifically, the array configuration control unit determines whether the current communication environment exhibits characteristics such as multipath enrichment, directional concentration, high spatial correlation, or channel stability based on the spatial propagation characteristic parameters. After analyzing the spatial propagation state, the array configuration control unit selects a target array configuration mode that matches the current spatial propagation state from multiple predefined array configuration modes. The array configuration modes include at least a coverage enhancement mode, a capacity priority mode, and a low-power stable communication mode. Specifically, when the spatial propagation characteristic parameters indicate insufficient coverage or complex multipath propagation, the coverage enhancement mode is selected; when the spatial directional characteristics are obvious and the channel conditions are good, the capacity priority mode is selected; and when the channel state is stable and the service demand is low, the low-power stable communication mode is selected.

[0109] refer to Figure 6 As shown. In some examples of this application, in step S2, the method for determining the target array configuration mode among multiple predefined array configuration modes includes: S21: Match the acquired spatial propagation feature parameters with the pre-stored array configuration mode decision conditions; S22: When the communication environment characterized by the spatial propagation characteristic parameters is multipath dominant or has high coverage requirements, the first subarray configured as a wideband or low-frequency band communication subarray is selected as the main communication subarray to participate in communication, thereby improving spatial coverage and multipath adaptability. S23: When the communication environment characterized by the spatial propagation characteristic parameters is direct-light dominant or there is a high throughput requirement, the second subarray configured as a high-directivity or high-frequency band communication subarray is selected as the main communication subarray to participate in communication, thereby forming a high-gain beam or improving spatial multiplexing capability, and realizing the performance focus switching under different communication scenarios.

[0110] S3: Generate corresponding array configuration control information based on the selected target array configuration mode.

[0111] Specifically, the array configuration control information is used to describe the control method of the antenna array in the current communication environment. The control information includes one or more of the following: activation or shutdown indication information of subarrays, signal weight allocation strategy of each subarray, cooperative working parameters between subarrays, and array equivalent geometric structure related parameters. The array configuration control information is then sent to the radio frequency signal processing unit for subsequent execution of the array control strategy.

[0112] S4: Select the corresponding array control strategy for the current communication environment according to the array configuration control information, and control at least one subarray to participate in communication or adjust its signal weight according to the array control strategy, so as to reconstruct the equivalent spatial characteristics of the antenna array element, thereby optimizing the MIMO channel capacity or spatial coverage performance under different communication environments.

[0113] Specifically, the radio frequency signal processing unit controls at least one subarray to participate in communication according to the array control strategy, or applies different signal weights to the subarrays participating in communication; the radio frequency signal processing unit can reduce array correlation by activating spatially distributed subarrays, or form a high-gain beam by enhancing the signal weight of highly directional subarrays; when it is necessary to reduce power consumption, the number of subarrays participating in communication can be reduced or the signal weight of some subarrays can be reduced.

[0114] refer to Figure 7 As shown. In some examples of this application, in step S4, the method of controlling the subarray to participate in communication according to the array control strategy includes: Step S41: Select at least one subarray from at least two subarrays as the current communication subarray, based on the selected target array configuration mode.

[0115] Specifically, the array configuration control information generated in step S3 explicitly indicates the subarray selection strategy corresponding to the current array configuration mode. For example, in coverage enhancement mode, subarrays with physical spatial dispersion, large element spacing, or low frequency or wide frequency band operation are preferred; in capacity priority mode, subarrays with high element density, high directivity, or high frequency operation capability are preferred; in low power stable communication mode, only some subarrays that meet basic communication requirements are selected.

[0116] Therefore, the radio frequency signal processing unit filters multiple subarrays according to the above subarray selection strategy, and selects at least one subarray as the current communication subarray to participate in the transmission and / or reception of wireless signals.

[0117] Step S42: Deactivate or reduce the signal weight of the unselected subarrays.

[0118] Specifically, for subarrays not selected to participate in the current communication, the radio frequency signal processing unit may process them in at least one of the following ways: By disconnecting the radio frequency link of the corresponding subarray through the radio frequency switch network, the subarray is prevented from participating in signal transmission or reception. By using a reconfigurable feed network or digital precoding method, the signal weight corresponding to the subarray is set to zero or below a preset threshold. The subarray is put into a low-power or sleep state to reduce the overall power consumption of the system.

[0119] This avoids unnecessary interference or resource consumption of the unselected subarrays in the current communication, while improving the matching degree between the array structure and the current communication environment.

[0120] Step S43: Assign corresponding power supply paths or signal weights to the selected subarrays so that the selected subarrays form the desired array equivalent spatial structure in the current communication environment.

[0121] Specifically, the radio frequency signal processing unit assigns corresponding feed paths or signal weights to the selected communication subarray, enabling the selected subarray to form the desired array equivalent spatial structure in the current communication environment; specifically, the radio frequency signal processing unit performs at least one of the following operations on the selected communication subarray according to the array configuration control information: Configure the corresponding RF feed path for the selected subarray to establish an effective connection with the RF transceiver link; Different amplitude and phase weights are assigned to different subarrays or different array elements within a subarray. When multiple subarrays participate in communication simultaneously, collaborative work between subarrays can be achieved through digital precoding matrices or radio frequency reconfiguration networks.

[0122] This allows the selected communication subarray to form an equivalent large-scale array structure or a low-correlation array structure in space, thereby reconstructing the equivalent spatial characteristics of the antenna array elements to adapt to the current wireless propagation environment.

[0123] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0124] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A 6G / 5G WiFi based MiMo antenna system optimized based on array, characterized in that, The application relates to a communication method and device, and relates to the technical field of communication. The application comprises: An antenna array unit, which comprises at least two subarrays, the at least two subarrays are different in at least one of the following aspects: working frequency band configuration, array element geometric spacing, array form structure, polarization mode or physical space distribution position, so as to form a heterogeneous subarray with a functional division characteristic; A channel sensing unit, which is configured to obtain a spatial propagation characteristic parameter related to a current wireless channel in a communication process, the spatial propagation characteristic parameter at least comprises channel state information, received signal strength, multipath propagation characteristic or spatial direction statistical information; An array configuration control unit, which is in communication connection with the channel sensing unit, the array configuration control unit is configured to determine a target array configuration mode from a plurality of predefined array configuration modes and generate corresponding array configuration control information according to the spatial propagation characteristic parameter; And, 2. The 6G / 5G WiFi based MiMo antenna system of claim 1, wherein, A radio frequency signal processing unit, which is configured to determine a corresponding array control strategy of a current communication environment according to the array configuration control information generated by the array configuration control unit, and control at least one subarray to participate in communication or adjust the signal weight thereof according to the array control strategy. The antenna array unit comprises: A first subarray, which is configured as a wideband or low-frequency communication subarray, is used to improve spatial coverage and multipath adaptation capability; A second subarray, which is configured as a high directivity or high-frequency communication subarray, is used to form a high-gain beam or improve spatial multiplexing capability; 3. The 6G / 5G WiFi based MiMo antenna system of claim 1 or 2, wherein, So that the antenna array unit can realize performance-oriented switching by selecting different subarrays in different communication scenarios.

4. The 6G / 5G WiFi based MiMo antenna system of claim 1 or 2, wherein, The at least two subarrays are respectively arranged on different physical regions, different height positions or different curved structures of a terminal device or a communication node, so as to form a non-coplanar spatial distribution structure, thereby reducing electromagnetic coupling between arrays through physical space dispersion.

5. The array-optimized 6G / 5G WiFi MiMo antenna system of claim 4, wherein, The channel sensing unit is configured to obtain one or more of the following: correlation index of a channel matrix of a spatial propagation characteristic parameter, multipath time delay spread, main energy arrival direction distribution, signal power spatial distribution characteristic and communication terminal posture change information, and input the spatial propagation characteristic parameter into the array configuration control unit. The array configuration control unit is configured to define and support a plurality of array working modes, the array working modes at least comprise a coverage enhancement mode, a capacity priority mode and a low-power stable communication mode; wherein, The array configuration control information generated in the coverage enhancement mode is used for activating spatially dispersed subarrays or reducing the spatial correlation between subarrays; The array configuration control information generated in the capacity priority mode is used for activating subarrays with high directivity or enhancing the cooperative work between subarrays; 6. The 6G / 5G WiFi MiMo antenna system based on array optimization of claim 5, wherein, The array configuration control information generated in the low-power stable communication mode is used for reducing the number of subarrays participating in communication or reducing the signal weight, so as to reduce power consumption and maintain stable communication.

7. A method for controlling a 6G / 5G WiFi MiMo antenna based on array optimization using the system of any one of claims 1-6. The array configuration control unit is further configured to realize the cooperative work between subarrays through a digital precoding matrix, a radio frequency switch network or a reconfigurable feeding network when at least two subarrays are activated at the same time, so that a plurality of subarrays form an equivalent large-scale array structure or a low-correlation array structure in space. The method comprises: S1: obtaining spatial propagation characteristic parameters related to a wireless channel in a current communication process, the spatial propagation characteristic parameters including at least channel state information, received signal strength, multipath propagation characteristic, or spatial direction statistical information; S2: analyzing a spatial propagation state of a current communication environment according to the obtained spatial propagation characteristic parameters, and selecting a target array configuration mode matching the spatial propagation state from a plurality of predefined array configuration modes; S3: generating corresponding array configuration control information according to the selected target array configuration mode; S4: selecting a corresponding array control strategy of the current communication environment according to the array configuration control information, and controlling at least one subarray to participate in communication or adjusting a signal weight thereof according to the array control strategy.

8. The MiMo antenna control method based on array optimization of 6G / 5G WiFi according to claim 7, characterized in that, In step S1, the method for obtaining spatial propagation characteristic parameters includes: S11: measuring a received signal to obtain channel matrix information in an uplink or downlink communication process; S12: calculating a channel correlation matrix according to the channel matrix information, and generating a spatial correlation parameter of the channel matrix information according to a size of a non-diagonal element of the correlation matrix; S13: calculating a mean delay according to the channel matrix information: and then the root mean square delay spread is calculated: wherein is the number of multipaths, is the complex gain of the th multipath, is the propagation delay of the th multipath, to generate a multipath delay spread parameter; S14: Calculate the spatial spectrum function based on the channel matrix information and using the direction-of-arrival estimation method through the scanning angle: ,in The direction indicates the scanning angle. Spatial power spectrum over time This is the channel correlation matrix at the MiMo antenna receiver. This refers to the array guidance amount in the corresponding direction. For the channel matrix; then by... Perform a search to generate the distribution parameters of the main energy arrival direction; S15: calculating a signal power spatial distribution characteristic according to the channel matrix information: wherein is the received power corresponding to the i-th MIMO antenna receiving end, is the element in the i-th row and j-th column of the channel matrix, is the number of transmitting antennas of the MIMO antenna transmitting end; S16: calculating a communication terminal posture change information according to the channel matrix information; S17: taking the obtained channel correlation parameter, multipath delay spread parameter, main energy arrival direction distribution parameter, signal power spatial distribution characteristic, or communication terminal posture change parameter as the spatial propagation characteristic parameter.

9. The MiMo antenna control method based on array optimization of 6G / 5G WiFi according to claim 7 or 8, characterized in that, In step S2, the method for determining a target array configuration mode from a plurality of predefined array configuration modes includes: S21: matching the obtained spatial propagation characteristic parameter with a previously stored array configuration mode decision condition; S22: when the communication environment represented by the spatial propagation characteristic parameter is dominated by multipath or has a high coverage requirement, selecting a first subarray configured as a wide-band or low-band communication subarray as a main communication subarray to participate in communication, so as to improve spatial coverage range and multipath adaptation capability; S23: when the communication environment represented by the spatial propagation characteristic parameter is dominated by direct radiation or has a high throughput requirement, selecting a second subarray configured as a high-directivity or high-band communication subarray as a main communication subarray to participate in communication.

10. The MiMo antenna control method based on array optimization of 6G / 5G WiFi according to claim 7, characterized in that, In step S4, the method for controlling a subarray to participate in communication according to the array control strategy includes: Step S41: selecting at least one subarray from at least two subarrays as a current communication subarray according to the selected target array configuration mode; Step S42: deactivating or reducing a signal weight of a subarray that is not selected; Step S43: allocating a corresponding feeding path or signal weight to the selected subarray, so that the selected subarray forms an expected array equivalent spatial structure in the current communication environment.

Images