Indoor visible light communication perception integrated wave beam design method and device

Abstract

The embodiment of the invention provides an indoor visible light communication perception integrated wave beam design method and device. The method comprises the following steps: constructing an indoor visible light communication perception integrated system, wherein the system comprises a plurality of visible light communication access points and user equipment; establishing a visible light signal model, wherein the visible light signal model is used for describing transmitting and receiving processes of a visible light communication signal and a visible light sensing signal in a multi-user environment; based on performance optimization requirements, the visible light communication beams and / or the visible light sensing beams are optimized, an optimized beam forming matrix is obtained, and the performance optimization requirements comprise visible light communication priority, visible light sensing priority and joint optimization; and performing signal transmission based on the optimized beam forming matrix. According to the technical scheme of the embodiment of the invention, visible light communication and visible light sensing beams can be effectively optimized, and the performance of an indoor visible light communication and sensing integrated system is improved.

Description

Technical Field

[0001] This application relates to the field of communication technologies, and in particular, to an integrated beam design method and device for indoor visible light communication and sensing. Background Art

[0002] With the rapid development of Internet of Things technologies, the demands for indoor positioning and communication are increasing day by day. As a new emerging wireless communication technology, visible light communication (VLC) shows great application potential in indoor environments due to its advantages such as high speed, high security, and low energy consumption. At the same time, visible light perception (VLP) technology has also received attention in the field of indoor positioning due to its high precision and low cost. However, existing visible light communication and visible light perception systems are often designed independently, without fully utilizing the dual functions of visible light signals, resulting in resource waste and limited performance. In the prior art, visible light communication systems mainly focus on the transmission rate and quality of signals, while visible light perception systems focus on the positioning accuracy of signals. There are conflicts in beamforming design between the two, and it is difficult to achieve the optimal joint performance. Thus, how to effectively optimize visible light communication and visible light perception beams and improve the performance of the integrated visible light communication and sensing system has become an urgent technical problem to be solved. Summary of the Invention

[0003] Embodiments of this application provide an integrated beam design method and device for indoor visible light communication and sensing, which can thus effectively optimize visible light communication and visible light perception beams to at least some extent and improve the performance of the integrated visible light communication and sensing system.

[0004] Other features and advantages of this application will become apparent through the following detailed description, or be learned in part through the practice of this application.

[0005] According to one aspect of the embodiments of this application, an integrated beam design method for indoor visible light communication and sensing is provided, including:

[0006] Construct an integrated system for indoor visible light communication and sensing, where the system includes multiple visible light communication access points and user equipment;

[0007] Establish a visible light signal model for describing the transmission and reception processes of visible light communication signals and visible light perception signals in a multi-user environment;

[0008] Based on performance optimization requirements, optimize the visible light communication beam and / or the visible light perception beam to obtain an optimized beamforming matrix, where the performance optimization requirements include visible light communication priority, visible light perception priority, and joint optimization;

[0009] Perform signal transmission based on the optimized beamforming matrix.

[0010] According to one aspect of the embodiments of the present application, there is provided an indoor visible light communication and sensing integrated beam design device, including:

[0011] A construction module, configured to construct an indoor visible light communication and sensing integrated system, the system including a plurality of visible light communication access points and user equipment; establish a visible light signal model, the visible light signal model being used to describe the transmission and reception processes of visible light communication signals and visible light sensing signals in a multi-user environment;

[0012] A beam optimization module, configured to optimize the visible light communication beam and / or the visible light sensing beam based on performance optimization requirements to obtain an optimized beamforming matrix, the performance optimization requirements including visible light communication priority, visible light sensing priority, and joint optimization;

[0013] A processing module, configured to perform signal transmission based on the optimized beamforming matrix.

[0014] According to one aspect of the embodiments of the present application, there is provided a computer-readable medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the indoor visible light communication and sensing integrated beam design method as described in the above embodiments.

[0015] According to one aspect of the embodiments of the present application, there is provided an electronic device, including: one or more processors; a storage device, configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the indoor visible light communication and sensing integrated beam design method as described in the above embodiments.

[0016] According to one aspect of the embodiments of the present application, there is provided a computer program product or a computer program, the computer program product or the computer program including computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the indoor visible light communication and sensing integrated beam design method provided in the above embodiments.

[0017] In the technical solutions provided by some embodiments of the present application, by constructing an indoor visible light communication and sensing integrated system, the system includes multiple visible light communication access points and user equipment, and a visible light signal model is established. The visible light signal model is used to describe the transmission and reception processes of visible light communication signals and visible light sensing signals in a multi-user environment. Then, based on the performance optimization requirements, the visible light communication beam and / or the visible light sensing beam are optimized to obtain an optimized beamforming matrix, where the performance optimization requirements include visible light communication priority, visible light sensing priority, and joint optimization. Then, signal transmission is performed based on the optimized beamforming matrix. Thereby, the problem of beamforming conflict between visible light communication and visible light sensing can be avoided, and the performance and efficiency of visible light communication and visible light sensing in indoor Internet of Things application scenarios can be improved.

[0018] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. In the drawings:

[0020] Figure 1 A flowchart showing the process of an indoor visible light communication and sensing integrated beam design method according to an embodiment of the present application;

[0021] Figure 2 A block diagram showing an indoor visible light communication and sensing integrated beam design device according to an embodiment of the present application;

[0022] Figure 3 A schematic structural diagram of a computer system of an electronic device suitable for implementing the embodiments of the present application is shown. DETAILED DESCRIPTION

[0023] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more complete and comprehensive, and will fully convey the concept of the example embodiments to those skilled in the art.

[0024] In addition, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of the embodiments of the present application. However, those skilled in the art will realize that the technical solutions of the present application may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be employed. In other cases, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the present application.

[0025] The block diagrams shown in the drawings are only functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0026] The flowcharts shown in the drawings are only illustrative and do not necessarily include all the content and operations / steps, nor are they necessarily executed in the described order. For example, some operations / steps may be decomposed, while some operations / steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0027] Figure 1 A schematic flowchart of an indoor visible light communication and sensing integrated beam design method according to an embodiment of the present application is shown.

[0028] This method can be applied to a terminal device or a server. Among them, the terminal device may include one or more of a smart phone, a tablet computer, a portable computer, and a desktop computer, and it may also be other electronic devices with functions such as data transmission and processing; the server may be a physical server or a cloud server.

[0029] As Figure 1 shown, the indoor visible light communication and sensing integrated beam design method at least includes steps S110 to S140, which are introduced in detail as follows:

[0030] In step S110, an indoor visible light communication and sensing integrated system is constructed, and the system includes a plurality of visible light communication access points and user equipment.

[0031] In this embodiment, according to the characteristics of indoor Internet of Things application scenarios, an integrated indoor visible light communication and sensing system model is constructed, which includes multiple visible light communication access points and user devices. Specifically, the integrated indoor visible light communication and sensing system may include multiple LEDs as the transmitting end and photoelectric detectors as the receiving end, and the MIMO technology is used to improve the performance of visible light communication and visible light sensing. The LED array is used as the transmitting antenna array in the MIMO system, and the PD (Photoelectric Detector) array is used as the receiving antenna array.

[0032] In step S120, a visible light signal model is established, which is used to describe the transmission and reception processes of visible light communication signals and visible light sensing signals in a multi-user environment.

[0033] In this embodiment, the visible light signal model can be established according to the following formula:

[0034]

[0035] where U = {1, 2, …, u, …, U} is the index set of VLC users, S = {1, 2, …, s, …, S} is the index set of VLS streams, f b,u and f b,s are the beamforming vectors of VLC and VLS streams respectively, x u and x s correspond to the VLC stream and the VLS stream respectively. By establishing the visible light signal model as described above, the visible light signal model can simulate the signal transmission and reception characteristics in a multi-user environment, which includes the transmission and reception processes of visible light communication signals and visible light sensing signals in a multi-user environment. Thus, the visible light signal model can be used to generate necessary input parameters for the visible light communication and visible light sensing signal data to be optimized for subsequent use.

[0036] In step S130, based on the performance optimization requirements, the visible light communication beam and / or the visible light sensing beam are optimized to obtain an optimized beamforming matrix. The performance optimization requirements include visible light communication priority, visible light sensing priority, and joint optimization.

[0037] In this embodiment, by pre - constructing beam design algorithms corresponding to different performance optimization requirements, in actual use, according to different performance optimization requirements, the corresponding beam design algorithms are executed to achieve beam optimization. Specifically, when there is no sensing target in the system, the corresponding performance optimization requirement can be that visible light communication is prioritized. On the premise that the visible light communication beam has been designed, the visible light sensing beam is optimized to minimize the interference of the visible light sensing beam design on the visible light communication performance. In one example, the regularized zero - forcing beamforming method can be used to design the visible light communication beam to maximize the communication performance and reduce the interference between multiple users.

[0038] When there is a sensing target in the system, the corresponding performance optimization requirement is that visible light sensing is prioritized, that is, on the premise that the visible light sensing beam has been optimized, the visible light communication beam is designed to minimize the interference to the visible light sensing beam. In one example, the visible light communication beam can be optimized to ensure the maximization of the SINR (Signal to Interference plus Noise Ratio) of communication users while ensuring the visible light sensing performance.

[0039] When joint optimization is required, the visible light communication and visible light sensing performances need to be comprehensively considered. In one example, the max - min optimization algorithm can be used to optimize the beams of visible light sensing and visible light communication to maximize the visible light sensing SNR (Signal to Noise Ratio) and visible light communication SINR of the system and achieve the best performance balance of the system.

[0040] By executing the above - mentioned beam design algorithms, an optimized beamforming matrix can be obtained, and subsequent signal transmission can be carried out according to this optimized beamforming matrix.

[0041] Therefore, the requirement of prioritizing visible light communication is to optimize the communication performance, especially to improve the communication throughput and signal quality of the system, reduce interference, and ensure the reliability of the communication link. The requirement of prioritizing visible light sensing is to optimize the sensing performance, especially to improve the quality and positioning accuracy of the sensing signal, and ensure the reliability of the sensing system. The requirement of joint optimization is to find a balance between visible light communication and visible light sensing, and optimize the performance indicators of both at the same time to make the overall efficiency of the system optimal.

[0042] In step S140, signal transmission is carried out based on the optimized beamforming matrix.

[0043] That is to say, the transmitted signal can be pre - processed according to the optimized beamforming matrix for signal transmission, so as to perform visible light communication and visible light sensing tasks.

[0044] In some embodiments of the present application, when the performance optimization requirement is that visible light communication is prioritized, the visible light communication beam and / or the light perception beam are optimized to obtain an optimized beamforming matrix, including:

[0045] Set the number of visible light communication users U, the transmit power channel matrix H, and the regularization parameter λ;

[0046] Calculate the corresponding beamforming matrix W according to the following formula:

[0047] W = (H H H + λI) -1 H H

[0048] where H is the channel matrix, H H is the conjugate transpose matrix of H, I is the identity matrix, and λ is the regularization parameter.

[0049] It should be noted that the regularization parameter λ is used to balance the interference and noise in the system.

[0050] In this embodiment, when visible light communication is prioritized, the semi - definite programming method is used to optimize the visible light perception beam to ensure that the communication performance is not affected, and by designing reasonable constraint conditions, the beam conflict is minimized.

[0051] In some embodiments of the present application, when the performance optimization requirement is that visible light perception is prioritized, the visible light communication beam and / or the light perception beam are optimized to obtain an optimized beamforming matrix, including:

[0052] Set the positions of the sensing targets to be randomly distributed within the ground range, and set the reflection coefficient ρ to establish a visible light perception model for describing the characteristics of the sensing targets;

[0053] Based on the visible light perception parameter g, an optimization algorithm is used to ensure that the visible light perception SNR is within a predetermined range while maximizing the visible light communication SINR to obtain an optimized beamforming matrix.

[0054] In this embodiment, when visible light perception is prioritized, the regularized zero - forcing beamforming method is used to flexibly adjust the regularization parameter based on the system noise and interference conditions to improve the quality of the visible light perception signal.

[0055] In some embodiments of the present application, when the performance optimization requirement is joint optimization, the visible light communication beam and / or the light perception beam are optimized to obtain an optimized beamforming matrix, including:

[0056] Set the objective function for joint optimization. The optimization variables of this objective function should include the beamforming matrices for visible light communication and visible light sensing respectively, so as to take into account the performance indicators of visible light communication and visible light sensing. At the same time, algorithms such as max-min optimization can be used to iteratively optimize the beamforming matrix. In each iteration, update the beamforming matrix by calculating the gradient to increase the function value of the objective function until convergence.

[0057] When the objective function for jointly optimizing visible light communication and visible light sensing beams in this embodiment is a non-convex optimization problem, the original non-convex optimization problem can be transformed into a convex optimization problem by introducing slack variables and semidefinite programming techniques, realizing the simplification of the solution process and the improvement of efficiency.

[0058] In some embodiments of the present application, after signal transmission based on the optimized beamforming matrix, the method further includes:

[0059] Perform performance evaluation according to the SINR of visible light communication and the SNR of visible light sensing to obtain the corresponding evaluation results.

[0060] In this embodiment, the performance of different visible light beam design schemes can be evaluated by establishing an indoor visible light channel model and a simulation environment, mainly using the SINR of visible light communication and the SNR of visible light sensing as evaluation indicators. Specifically, the model simulates factors such as the positions of light sources and receivers, wall reflections, and environmental occlusions, and collects performance data for communication and sensing, such as the bit error rate and signal-to-noise ratio of the communication system, and parameters such as the detection accuracy and response time of the sensing system, so as to evaluate the comprehensive effect and efficiency of the system in the actual environment. The beamforming scheme design can adopt optimal beamforming based on channel state information or position control beam adjustment to generate the best beam direction and power distribution. After statistical analysis of the collected performance data, combined with indicators such as the average received power, bit error rate distribution, and standard deviation of sensing accuracy, determine the stability and adaptability of the system. Finally, perform feedback optimization according to the performance evaluation results, and ensure the balance and optimal performance of visible light communication and sensing functions by adjusting the beamforming direction, power distribution, or adding auxiliary reflection devices, improving the coverage and reliability of the system, so as to achieve efficient dual-functional visible light beamforming, enabling the visible light communication and sensing integrated system to better adapt to the dynamically changing indoor environment.

[0061] The following introduces the device embodiments of the present application, which can be used to execute the indoor visible light communication and sensing integrated beam design method in the above embodiments of the present application. For the details not disclosed in the device embodiments of the present application, please refer to the embodiments of the indoor visible light communication and sensing integrated beam design method above.

[0062] Figure 2The block diagram of an indoor visible light communication and sensing integrated beam design device according to an embodiment of the present application is shown.

[0063] Referring to Figure 2 As shown, an indoor visible light communication and sensing integrated beam design device according to an embodiment of the present application includes:

[0064] A construction module, configured to construct an indoor visible light communication and sensing integrated system, where the system includes a plurality of visible light communication access points and user equipment; establish a visible light signal model, and the visible light signal model is used to describe the transmission and reception processes of visible light communication signals and visible light sensing signals in a multi-user environment;

[0065] A beam optimization module, configured to optimize the visible light communication beam and / or the visible light sensing beam based on performance optimization requirements to obtain an optimized beamforming matrix, where the performance optimization requirements include visible light communication priority, visible light sensing priority, and joint optimization;

[0066] A processing module, configured to perform signal transmission based on the optimized beamforming matrix.

[0067] In some embodiments of the present application, after performing signal transmission based on the optimized beamforming matrix, the processing module is further configured to:

[0068] Perform performance evaluation according to the visible light communication SINR and the visible light sensing SNR to obtain corresponding evaluation results.

[0069] Figure 3 The structural schematic diagram of a computer system of an electronic device suitable for implementing the embodiments of the present application is shown.

[0070] It should be noted that Figure 3 The computer system of the electronic device shown is only an example and should not impose any limitations on the functions and usage scopes of the embodiments of the present application.

[0071] As Figure 3As shown, the computer system includes a Central Processing Unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the Read-Only Memory (ROM) 302 or the program loaded from the storage section 308 into the Random Access Memory (RAM) 303, such as executing the method described in the above embodiments. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An Input / Output (I / O) interface 305 is also connected to the bus 304.

[0072] The following components are connected to the I / O interface 305: an input section 306 including a keyboard, a mouse, etc.; an output section 307 including, for example, a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc. and a speaker, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read from it can be installed into the storage section 308 as needed.

[0073] Specifically, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network via the communication section 309, and / or installed from the removable medium 311. When the computer program is executed by the Central Processing Unit (CPU) 301, various functions defined in the system of the present application are executed.

[0074] It should be noted that the computer-readable medium shown in the embodiments of the present application can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. In the present application, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable computer program is carried. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and this computer-readable medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted by any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0075] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. Among them, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code, and the above module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0076] The units involved in the embodiments described in this application can be implemented in software or in hardware, and the described units can also be provided in a processor. Among them, the names of these units do not, in some cases, constitute a limitation on the unit itself.

[0077] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the methods described in the above embodiments.

[0078] It should be noted that although several modules or units of a device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of the two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0079] From the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described herein can be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solutions according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (such as a personal computer, a server, a touch terminal, or a network device, etc.) to execute the methods according to the embodiments of the present application.

[0080] After considering the specification and practicing the disclosed embodiments herein, those skilled in the art will readily conceive of other embodiments of the present application. The present application is intended to cover any variations, uses, or adaptations of the present application, which follow the general principles of the present application and include known common knowledge or conventional technical means in the technical field not disclosed in the present application.

[0081] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present application is only limited by the appended claims.

Claims

1. A method for designing an indoor visible light communication sensing integrated beam, characterized in that: include: Constructing an indoor visible light communication perception integrated system, the system comprising a plurality of visible light communication access points and user equipment; Establishing a visible light signal model, wherein the visible light signal model is used to describe the transmission and reception process of visible light communication signals and visible light perception signals in a multi-user environment; Based on performance optimization requirements, the visible light communication beam and / or the visible light sensing beam are optimized to obtain an optimized beamforming matrix, wherein the performance optimization requirements include visible light communication priority, visible light sensing priority, and joint optimization; Signal transmission is performed based on the optimized beamforming matrix.

2. The method according to claim 1, characterized in that When the performance optimization requirement is that visible light communication is prioritized, the visible light communication beam and / or the optical sensing beam may be optimized to obtain an optimized beamforming matrix, including: Set the number of visible light communication users, transmit power channel matrix and regularization parameters; The corresponding beamforming matrix W is calculated according to the following formula: W=(H H H+λI) -1 H H Where H is the channel matrix, H H is the conjugate transposed matrix of H, I is the identity matrix, and λ is the regularization parameter.

3. The method according to claim 1, characterized in that When the performance optimization requirement is to prioritize visible light perception, the visible light communication beam and / or the visible light perception beam may be optimized to obtain an optimized beamforming matrix, including: The positions of the perceived targets are set to be randomly distributed within the ground range, and the reflection coefficient is set to establish a visible light perception model for describing the characteristics of the perceived targets; Based on the visible light perception parameters, an optimization algorithm is used to ensure that the visible light perception SNR is within a predetermined range on the basis of maximizing the visible light communication SINR, and an optimized beamforming matrix is ​​obtained.

4. The method according to claim 1, characterized in that When the performance optimization requirement is joint optimization, the visible light communication beam and / or the optical sensing beam may be optimized to obtain an optimized beamforming matrix, including: Set the joint optimization objective function to take into account the performance indicators of visible light communication and visible light sensing; The maximum-minimum optimization algorithm is used to iteratively optimize the beamforming matrix. In each iteration, the beamforming matrix is ​​updated by calculating the gradient to improve the function value of the objective function until convergence.

5. The method according to any one of claims 1 to 4, characterized in that After performing signal transmission based on the optimized beamforming matrix, the method further includes: A performance evaluation is performed based on the visible light communication SINR and the visible light perception SNR to obtain the corresponding evaluation results.

6. An indoor visible light communication perception integrated beam design device, characterized in that: include: A building module, used to build an indoor visible light communication perception integrated system, the system comprising a plurality of visible light communication access points and user equipment; Establishing a visible light signal model, wherein the visible light signal model is used to describe the transmission and reception process of visible light communication signals and visible light perception signals in a multi-user environment; A beam optimization module, configured to optimize a visible light communication beam and / or a visible light sensing beam based on performance optimization requirements to obtain an optimized beamforming matrix, wherein the performance optimization requirements include visible light communication priority, visible light sensing priority, and joint optimization; A processing module is used to perform signal transmission based on the optimized beamforming matrix.

7. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the indoor visible light communication perception integrated beam design method as described in any one of claims 1 to 5 is implemented.

8. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to implement the indoor visible light communication perception integrated beam design method as described in any one of claims 1 to 5.

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