A holographic beamforming antenna array control system and method based on the internet of things

Abstract

The application discloses a holographic beamforming antenna array control system and method based on an internet of things, and belongs to the technical field of wireless communication.The system provided by the application forms a unified internet of things for users, operators, holographic beamforming antenna arrays and cloud servers, multiple terminals can intervene and adjust the system, and the degree of freedom of adjustment and control is increased.Internet of things communication is realized based on integration of internet of things modules, the internet of things modules have wide coverage, low power consumption, low cost and good communication quality, and can be connected with specific operators, so that the market application value of the above-mentioned control system is increased, and the executability of popularization and use is improved.The system can integrate the internet of things through the cloud server and the mobile terminal, so as to realize integration of communication objects and communication systems, realize internet of things cooperation, enhance expandability, and has good technical effects.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication technology, and more specifically, relates to a holographic beamforming antenna array control system and method based on the Internet of Things. Background Technology

[0002] Holographic Beam Forming (HBF) is a novel dynamic beamforming technology that includes a holographic MIMO antenna array hardware system and an array amplitude and phase parameter distribution algorithm. The holographic MIMO antenna array and related hardware system use software-defined antennas (SDAs) and employ a minimal C-SWaP (cost, size, weight, and power) architecture. Digital circuitry is used to adjust the electromagnetic wave phase of each holographic element, and a large number of holographic elements form an ultra-dense array, thereby directing wireless capacity to any location within the cellular coverage area where demand is needed. This technology is called holographic because the element density of the antenna array can far exceed that of ordinary MIMO antenna arrays, enabling miniaturization, easy deployment, low power consumption, and low cost. Holographic beamforming technology is a novel wireless communication technology that promises to address the high cost and high energy consumption challenges faced in the post-5G era.

[0003] In existing monitoring and control systems, key communication evaluation indicators such as transmit power and signal strength can only be monitored and adjusted based on reports from base stations and user terminals, making real-time communication between base stations, antenna arrays, users, and operators impossible. Furthermore, the data acquired in existing detection and control systems is ephemeral, discarded after use, and cannot be stored long-term for data analysis and system steady-state maintenance. In the future era of the "Internet of Everything," the demand for IoT collaboration will increase dramatically. Traditional control systems cannot fully utilize multi-party information resources, have limited scalability, and are not conducive to applying communication networks to a wider range of scenarios. Summary of the Invention

[0004] To address the shortcomings and improvement needs of existing beamforming antenna systems, this invention provides a holographic beamforming antenna array control system and method based on the Internet of Things. This system has signal enhancement capabilities, low-cost network implementation, and a real-time information processing platform, enabling both user terminals and operator platforms to monitor, share, and adjust communication systems and data in real time, thereby improving the quality of communication services. Furthermore, it stores communication service data for long-term maintenance and management.

[0005] To achieve the above objectives, in a first aspect, the present invention provides a holographic beamforming antenna array control system based on the Internet of Things, comprising: an operator monitoring-control platform, a user monitoring-feedback module, an antenna array, and a cloud server;

[0006] The user monitoring-feedback module connects to the cloud server via the Internet to obtain the current communication status and data of the antenna array, and provides feedback on the communication service quality to the cloud server based on the obtained communication status and data.

[0007] The operator monitoring and control platform connects to the cloud server via the Internet to obtain the current communication service quality, and when the communication service quality is poor, it determines the optimal transmission coefficient of the antenna array through optimization and transmits it to the cloud server.

[0008] The antenna array integrates an Internet of Things (IoT) module, which connects and communicates with a cloud server via a wireless network. The IoT module reports the current communication status and data of the antenna array, receives communication service quality feedback from the user monitoring-feedback module and operation instructions issued by the operator monitoring-control platform, and thereby changes the physical control quantity of each holographic unit in the antenna array to change the beam pointing.

[0009] In a second aspect, the present invention provides a control method for a holographic beamforming antenna array control system based on the Internet of Things as described in the first aspect, wherein the antenna array serves as the main controller, and the method includes:

[0010] S1, the IoT module reads the antenna array attributes and transmits the current communication status and data of the antenna array to the cloud server; after the cloud server converts and saves the information, it transmits the converted information to the user monitoring-feedback module;

[0011] S2, the user monitoring-feedback module provides feedback on the communication service quality based on the received information, and the feedback information is transmitted to the antenna array through the cloud server;

[0012] S3, the antenna array receives the communication service quality feedback from the user monitoring-feedback module, and when the communication service quality is poor, it determines the optimal transmission coefficient of the antenna array through optimization, and thereby changes the physical control quantity of each holographic unit in the antenna array to change the beam pointing.

[0013] Further, S2 includes:

[0014] S21, The user monitoring-feedback module judges the communication service quality by comparing the currently displayed signal strength value with a preset threshold. If the communication service quality is poor, it reports the status to the cloud server.

[0015] S22, the cloud server converts the information fed back by the user into a different format and transmits it to the antenna array.

[0016] Furthermore, signal strength values ​​are represented by CQI, SNR, SINR, RSRP, RSRQ, or RSSI.

[0017] Thirdly, the present invention provides a control method for a holographic beamforming antenna array control system based on the Internet of Things as described in the first aspect, wherein a base station acts as the master controller, and the method includes:

[0018] S1' The IoT module reads the antenna array attributes and transmits the current communication status and data of the antenna array to the cloud server; after the cloud server converts and saves the information, it transmits the converted information to the user monitoring-feedback module.

[0019] S2', The user monitoring-feedback module provides feedback on the communication service quality based on the received information, and the feedback information is transmitted to the operator monitoring-control platform through the cloud server;

[0020] S3' The operator monitoring-control platform obtains the current communication service quality, and when the communication service quality is poor, it determines the optimal transmission coefficient of the antenna array through optimization and transmits it to the cloud server, thereby changing the physical control quantity of each holographic unit in the antenna array to change the beam pointing.

[0021] Further, S2' includes:

[0022] S21' The user monitoring-feedback module judges the communication service quality by comparing the currently displayed signal strength value with a preset threshold. If the communication service quality is poor, it reports the status to the cloud server.

[0023] S22' The cloud server converts the information fed back by the user into a new format and transmits it to the antenna array.

[0024] Furthermore, signal strength values ​​are represented by CQI, SNR, SINR, RSRP, RSRQ, or RSSI.

[0025] Fourthly, the present invention provides a holographic beamforming antenna array control system based on the Internet of Things, comprising: an operator monitoring-control platform, a user monitoring-feedback module, a first antenna array, a second antenna array, and a cloud server;

[0026] The user monitoring-feedback module connects to the cloud server via the Internet to obtain the current communication status and data of the first antenna array, and provides feedback on the communication service quality to the cloud server based on the currently obtained communication status and data.

[0027] The first antenna array integrates a first Internet of Things (IoT) module. The first IoT module connects and communicates with the cloud server via a wireless network. It reports the current communication status and data of the first antenna array, receives the communication service quality feedback from the user monitoring-feedback module, and when the communication service quality is poor, it determines the optimal transmission coefficient of the first antenna array through optimization and thereby changes the physical control quantity of each holographic unit in the first antenna array to change the beam pointing.

[0028] The operator monitoring-control platform connects to the cloud server via the Internet to obtain the current communication service quality. When the communication service quality is poor, it optimizes and determines the best transmission coefficient of the second antenna array and transmits it to the second antenna array. This changes the physical control quantity of each holographic unit in the second antenna array to change the beam pointing.

[0029] The second antenna array integrates a second Internet of Things (IoT) module, which is connected to the operator's monitoring and control platform via a wireless network.

[0030] Fifthly, the present invention provides a control method for an Internet of Things-based holographic beamforming antenna array control system as described in the fourth aspect, the method comprising:

[0031] S1'', The first IoT module completes the reading of the attributes of the first antenna array and transmits the current communication status and data of the first antenna array to the cloud server; After the cloud server completes the conversion and saving of the information, it transmits the converted information to the user monitoring-feedback module;

[0032] S2'', The user monitoring-feedback module provides feedback on the communication service quality based on the received information, and the feedback information is transmitted to the first antenna array through the cloud server;

[0033] S3'', the first antenna array receives the communication service quality feedback from the user monitoring-feedback module, and when the communication service quality is poor, it determines the optimal transmission coefficient of the first antenna array through optimization, and thereby changes the physical control quantity of each holographic unit in the first antenna array to change the beam pointing.

[0034] Furthermore, when the user monitoring-feedback module reports that the communication service quality is still poor, the method further includes:

[0035] S4'', the operator monitoring-control platform determines the optimal transmission coefficient of the second holographic array through optimization and transmits it to the second holographic array, thereby changing the physical control quantity of each holographic unit in the second holographic array to further change the beam pointing.

[0036] In summary, compared with the prior art, the above technical solutions proposed by this invention can achieve the following beneficial effects:

[0037] The system provided by this invention enables users, operators, holographic beamforming antenna arrays, and cloud servers to form a unified "Internet of Things" (IoT). Multiple terminals can intervene and adjust the system, increasing the degree of control freedom. IoT communication is based on the integration of IoT modules. IoT modules have wide coverage, low power consumption, low cost, and excellent communication quality, and can interface with specific operators, thereby increasing the market application value and feasibility of the aforementioned control system. This system can integrate the "Internet of Things" through cloud servers and mobile terminals to achieve the integration of communication objects and communication systems, realize IoT collaboration, enhance scalability, and achieve good technical results. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the Internet of Things-based holographic beamforming antenna array control system provided by the present invention;

[0039] Figure 2 This is a simplified structural diagram of the Internet of Things-based holographic beamforming antenna array control system provided in Embodiment 1 of the present invention;

[0040] Figure 3 This is one of the schematic diagrams of the control method provided in Embodiment 1 of the present invention;

[0041] Figure 4 This is the second schematic diagram of the control method provided in Embodiment 1 of the present invention;

[0042] Figure 5 This is a simplified structural diagram of the Internet of Things-based holographic beamforming antenna array control system provided in Embodiment 2 of the present invention. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0044] like Figure 1 As shown, this invention combines holographic beamforming technology with Internet of Things (IoT) technology, providing reliable, timely, and detailed reference information for system adjustments; reducing the hardware costs of achieving high-quality communication services, laying a solid foundation for the widespread adoption of 5G and future 6G; and providing valuable data and basic preparation for the intelligent construction of holographic beamforming communication systems, accelerating the construction process of 5G / 6G intelligent communication systems.

[0045] Example 1

[0046] like Figure 2The diagram shown is a simplified structural schematic of a holographic beamforming antenna array control system based on the Internet of Things. The control system includes: an operator monitoring-control platform, a user monitoring-feedback module, an antenna array, and a cloud server.

[0047] The user monitoring-feedback module connects to the cloud server via the Internet to obtain the current communication status and data of the antenna array, and provides feedback on the communication service quality to the cloud server based on the obtained communication status and data.

[0048] The operator monitoring and control platform connects to the cloud server via the Internet to obtain the current communication service quality, and when the communication service quality is poor, it determines the optimal transmission coefficient of the antenna array through optimization and transmits it to the cloud server.

[0049] The antenna array integrates an Internet of Things (IoT) module, which connects and communicates with a cloud server via a wireless network. The IoT module reports the current communication status and data of the antenna array, receives communication service quality feedback from the user monitoring-feedback module and operation instructions issued by the operator monitoring-control platform, and thereby changes the physical control quantity of each holographic unit in the antenna array to change the beam pointing.

[0050] The communication status indicates whether the device is powered on and operating, and whether the optimization algorithm has been started. The communication data indicates the current signal strength, such as RSRP, and also includes beam pointing.

[0051] This embodiment provides two control methods for this control system.

[0052] 1. Antenna array as the main control

[0053] like Figure 3 As shown, the main operation flow of the above control system is as follows:

[0054] Step S1: The cloud server connects to the user's mobile phone and antenna array;

[0055] Step S2: The IoT module reads the antenna array attributes and transmits the information to the cloud server's cloud data center; the cloud server converts, saves, and sends the information to the user's mobile application software.

[0056] The information refers to the current communication status and data of the antenna array, and may also include prompts and initial status when the IoT module starts up. These are stored in the server logs for easy device status queries later (this is only available each time the module is powered on and started; normally, only the communication status and data are reported periodically).

[0057] Step S3: The user provides feedback based on the received information, and the feedback information is transmitted to the antenna array through the cloud server;

[0058] Step S4: The antenna array will convert the information obtained from the cloud server into physical parameter values ​​for controlling the antenna array, and rerun the array distribution parameter optimization algorithm.

[0059] Specifically, the cloud server connects to the mobile phone via the Internet and to the antenna array via an IoT module, using the cloud server as a bridge to achieve two-way communication. The IoT module reads relevant attributes of the antenna array via serial communication, namely the status of each holographic element and the running status of the array distribution parameter optimization algorithm. The antenna array transmits the above information to the cloud server's cloud data center through the IoT module, simultaneously completing the conversion, storage, and transmission of this information, and then transmitting the information to the mobile application software via the Internet. Based on the signal strength value obtained by the user's custom application software, the user can use RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality), SINR (Signal-to-Interference-plus-Noise Ratio), CQI (Channel Quality Indicator) and other metrics to determine the quality of communication services.

[0060] In a preferred example, step S3 includes:

[0061] Step S31: The user judges the communication service quality by comparing the currently displayed signal strength value with a preset threshold. If the communication service quality is poor, the user reports the status to the cloud server; otherwise, no action is taken.

[0062] In step S32, the cloud server converts the format of the information fed back by the user and transmits it to the antenna array.

[0063] Step S4 includes:

[0064] The antenna array converts the acquired information into trigger parameters for the array distribution parameter optimization algorithm, starts the array distribution parameter optimization algorithm, obtains the optimal transmission coefficient distribution, sets the state of each holographic unit, and makes the beam direction point to the user terminal.

[0065] Specifically, under normal circumstances, an RSRP of -80dBm to -90dBm indicates a weak signal. Therefore, the RSRP threshold is set to -80 here. When the RSRP is less than -80, it can be determined that the communication service quality is poor, and the antenna array needs to be adjusted to change the beamforming direction.

[0066] The antenna array, acting as the master controller, allows users to easily adjust it, improving communication service quality within a small area. For example, if a user moves a distance away from the original beamforming position, the signal weakens. The user reports this status via a custom mobile application. The cloud server converts the user's feedback into a different format and transmits it to the antenna array. The antenna array then converts this information into trigger parameters for an array distribution parameter optimization algorithm and initiates the algorithm. This algorithm can employ various optimization methods, such as greedy algorithms and genetic algorithms. After the algorithm completes, it obtains the optimal transmission coefficient distribution for the current user location and sets the state of each holographic unit to ensure the beam direction points towards the user's new location.

[0067] 2. Base station as master controller

[0068] Similar to antenna arrays acting as the main controller, the difference lies in that when the base station acts as the main controller, the array distribution parameter optimization algorithm runs at the base station, and the operator monitors the base station to achieve a wide range of communication quality improvement.

[0069] like Figure 4 As shown, the main operation flow of the above control system is as follows:

[0070] Step S1: The cloud server connects to the operator's monitoring-control platform and antenna array;

[0071] Step S2: The operator determines the quality of cell communication service by comparing the signal strength value with a preset threshold;

[0072] Step S3: The base station initiates the array distribution parameter optimization algorithm to obtain the optimal transmission coefficient distribution;

[0073] Step S4: The optimal transmission coefficient distribution is uploaded to the server by the operator and transmitted to the antenna array. The state of each antenna element in the antenna array is reset, and the beam direction is changed.

[0074] Example 2

[0075] like Figure 5 The diagram shown is a simplified structural schematic of another IoT-based holographic beamforming antenna array control system, which includes: an operator monitoring-control platform, a user monitoring-feedback module, a first antenna array, a second antenna array, and a cloud server.

[0076] The user monitoring-feedback module connects to the cloud server via the Internet to obtain the current communication status and data of the first antenna array, and provides feedback on the communication service quality to the cloud server based on the currently obtained communication status and data.

[0077] The first antenna array integrates a first Internet of Things (IoT) module. The first IoT module connects and communicates with the cloud server via a wireless network. It reports the current communication status and data of the first antenna array, receives the communication service quality feedback from the user monitoring-feedback module, and when the communication service quality is poor, it determines the optimal transmission coefficient of the first antenna array through optimization and thereby changes the physical control quantity of each holographic unit in the first antenna array to change the beam pointing.

[0078] The operator monitoring-control platform connects to the cloud server via the Internet to obtain the current communication service quality. When the communication service quality is poor, it optimizes and determines the best transmission coefficient of the second antenna array and transmits it to the second antenna array. This changes the physical control quantity of each holographic unit in the second antenna array to change the beam pointing.

[0079] The second antenna array integrates a second Internet of Things (IoT) module, which is connected to the operator's monitoring and control platform via a wireless network.

[0080] The difference from Embodiment 1 is that this embodiment also deploys an antenna array at the base station. Users report whether adjustments to the first antenna array are needed based on the currently acquired communication status data. When user communication quality is poor, the user reports the status, and the optimization algorithm for the first antenna array is activated. If the service obtained by the user is still unsatisfactory, the operator learns the current status through the base station report and obtains background data from the cloud server, including user signal strength and beam pointing. The optimization algorithm is then activated on the second antenna array at the base station to further optimize and improve the communication service quality. Specifically:

[0081] S1'', The first IoT module completes the reading of the attributes of the first antenna array and transmits the current communication status and data of the first antenna array to the cloud server; After the cloud server completes the conversion and saving of the information, it transmits the converted information to the user monitoring-feedback module;

[0082] S2'', The user monitoring-feedback module provides feedback on the communication service quality based on the received information, and the feedback information is transmitted to the first antenna array through the cloud server;

[0083] S3'', the first antenna array receives the communication service quality feedback from the user monitoring-feedback module, and when the communication service quality is poor, it determines the optimal transmission coefficient of the first antenna array through optimization, and thereby changes the physical control quantity of each holographic unit in the first antenna array to change the beam pointing.

[0084] Furthermore, when the user monitoring-feedback module reports that the communication service quality is still poor, the method further includes:

[0085] S4'', the operator monitoring-control platform determines the optimal transmission coefficient of the second holographic array through optimization and transmits it to the second holographic array, thereby changing the physical control quantity of each holographic unit in the second holographic array to further change the beam pointing.

[0086] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A holographic beamforming antenna array control system based on the Internet of Things, characterized in that, include: Operator monitoring-control platform, user monitoring-feedback module, antenna array and cloud server; The user monitoring-feedback module connects to the cloud server via the Internet to obtain the current communication status and data of the antenna array, and provides feedback on the communication service quality to the cloud server based on the obtained communication status and data. The operator monitoring and control platform connects to the cloud server via the Internet to obtain the current communication service quality, and when the communication service quality is poor, it determines the optimal transmission coefficient of the antenna array through optimization and transmits it to the cloud server. The antenna array integrates an Internet of Things (IoT) module, which connects and communicates with a cloud server via a wireless network. The IoT module reports the current communication status and data of the antenna array, receives communication service quality feedback from the user monitoring-feedback module and operation instructions issued by the operator monitoring-control platform, and thereby changes the physical control quantity of each holographic unit in the antenna array to change the beam pointing. When the antenna array acts as the main controller, it improves the quality of communication services within a small area. The user monitoring-feedback module provides feedback on the quality of communication services based on the received information, and the feedback information is transmitted to the antenna array through the cloud server. The antenna array receives the quality of communication services feedback from the user monitoring-feedback module, and when the quality of communication services is poor, it determines the optimal transmission coefficient of the antenna array through optimization, and thereby changes the physical control quantity of each holographic unit in the antenna array to change the beam pointing. When the base station acts as the master controller, the array distribution parameter optimization algorithm runs at the base station. The operator monitors the base station to achieve a wide-area improvement in communication quality. The user monitoring-feedback module provides feedback on the communication service quality based on the received information. The feedback information is transmitted to the operator monitoring-control platform through the cloud server. The operator monitoring-control platform obtains the current communication service quality and, when the communication service quality is poor, determines the optimal transmission coefficient of the antenna array through optimization and transmits it to the cloud server. This changes the physical control quantity of each holographic element in the antenna array to change the beam pointing. The quality of communication service is determined by comparing the currently displayed signal strength value with a preset threshold.

2. A control method for a holographic beamforming antenna array control system based on the Internet of Things as described in claim 1, characterized in that, The antenna array serves as the main controller, and the method includes: S1, the IoT module reads the antenna array attributes and transmits the current communication status and data of the antenna array to the cloud server; after the cloud server converts and saves the information, it transmits the converted information to the user monitoring-feedback module; S2, the user monitoring-feedback module provides feedback on the communication service quality based on the received information, and the feedback information is transmitted to the antenna array through the cloud server; S3, the antenna array receives the communication service quality feedback from the user monitoring-feedback module, and when the communication service quality is poor, it determines the optimal transmission coefficient of the antenna array through optimization, and thereby changes the physical control quantity of each holographic unit in the antenna array to change the beam pointing.

3. The control method according to claim 2, characterized in that, S2 includes: S21, The user monitoring-feedback module judges the communication service quality by comparing the currently displayed signal strength value with a preset threshold. If the communication service quality is poor, it reports the status to the cloud server. S22, the cloud server converts the information fed back by the user into a different format and transmits it to the antenna array.

4. The control method according to claim 3, characterized in that, Signal strength values ​​are represented by CQI, SNR, SINR, RSRP, RSRQ, or RSSI.

5. A control method for a holographic beamforming antenna array control system based on the Internet of Things as described in claim 1, characterized in that, The base station acts as the master controller, and the method includes: S1' The IoT module reads the antenna array attributes and transmits the current communication status and data of the antenna array to the cloud server; after the cloud server converts and saves the information, it transmits the converted information to the user monitoring-feedback module. S2', The user monitoring-feedback module provides feedback on the communication service quality based on the received information, and the feedback information is transmitted to the operator monitoring-control platform through the cloud server; S3' The operator monitoring-control platform obtains the current communication service quality, and when the communication service quality is poor, it determines the optimal transmission coefficient of the antenna array through optimization and transmits it to the cloud server, thereby changing the physical control quantity of each holographic unit in the antenna array to change the beam pointing.

6. The control method according to claim 5, characterized in that, The S2' includes: S21' The user monitoring-feedback module judges the communication service quality by comparing the currently displayed signal strength value with a preset threshold. If the communication service quality is poor, it reports the status to the cloud server. S22' The cloud server converts the information fed back by the user into a new format and transmits it to the antenna array.

7. The control method according to claim 6, characterized in that, Signal strength values ​​are represented by CQI, SNR, SINR, RSRP, RSRQ, or RSSI.

8. A holographic beamforming antenna array control system based on the Internet of Things, characterized in that, include: Operator monitoring-control platform, user monitoring-feedback module, first antenna array, second antenna array and cloud server; The user monitoring-feedback module connects to the cloud server via the Internet to obtain the current communication status and data of the first antenna array, and provides feedback on the communication service quality to the cloud server based on the currently obtained communication status and data. The first antenna array integrates a first Internet of Things (IoT) module. The first IoT module connects and communicates with the cloud server via a wireless network. It reports the current communication status and data of the first antenna array, receives the communication service quality feedback from the user monitoring-feedback module, and when the communication service quality is poor, it determines the optimal transmission coefficient of the first antenna array through optimization and thereby changes the physical control quantity of each holographic unit in the first antenna array to change the beam pointing. The operator monitoring-control platform connects to a cloud server via the Internet to obtain the current communication service quality, and when users monitor... When the feedback module reports that the communication service quality is still poor, the second holographic array at the base station activates an optimization algorithm to further optimize and improve the communication service quality. The optimal transmission coefficient of the second holographic array is determined through optimization and transmitted to the second holographic array, thereby changing the physical control quantity of each holographic unit in the second holographic array to change the beam pointing. The second antenna array integrates a second Internet of Things (IoT) module, which is connected to the operator's monitoring and control platform via a wireless network. The quality of communication service is determined by comparing the currently displayed signal strength value with a preset threshold.

9. A control method for a holographic beamforming antenna array control system based on the Internet of Things as described in claim 8, characterized in that, The method includes: S1'', The first IoT module completes the reading of the attributes of the first antenna array and transmits the current communication status and data of the first antenna array to the cloud server; After the cloud server completes the conversion and saving of the information, it transmits the converted information to the user monitoring-feedback module; S2'', The user monitoring-feedback module provides feedback on the communication service quality based on the received information, and the feedback information is transmitted to the first antenna array through the cloud server; S3'', the first antenna array receives the communication service quality feedback from the user monitoring-feedback module, and when the communication service quality is poor, it determines the optimal transmission coefficient of the first antenna array through optimization, and thereby changes the physical control quantity of each holographic unit in the first antenna array to change the beam pointing.

10. The control method according to claim 9, characterized in that, When the user monitoring-feedback module reports that the communication service quality is still poor, the method further includes: S4'', the operator monitoring-control platform determines the optimal transmission coefficient of the second holographic array through optimization and transmits it to the second holographic array, thereby changing the physical control quantity of each holographic unit in the second holographic array to further change the beam pointing.

Images