Ris-based enterprise intranet global coverage method and system

Abstract

The application discloses an enterprise intranet global coverage method and system based on RIS, relates to the technical field of wireless communication, and comprises the following steps: setting RIS units of a multi-layer metamaterial structure according to an adaptive phase adjustment algorithm, optimizing frequency response, realizing all-around signal receiving and transmitting, constructing a channel model, and realizing cooperative work of a base station and the RIS units; identifying a mountainous area communication blind area through an RIS phased array, changing the direction of a transmission path, covering a user base station, and realizing blind area chain building communication; and dynamically adjusting the position and angle of the RIS units in combination with a city signal area and the mountainous area communication blind area, and realizing enterprise intranet global coverage. The application optimizes RIS configuration through a federal learning framework, makes the base station and the RIS units work cooperatively, and improves the communication efficiency of a coverage area; the RIS phased array identifies and covers the mountainous area communication blind area, realizes blind area chain building communication; and the position and angle of the RIS units are dynamically adjusted in combination with the city signal area and the mountainous area communication blind area, and enterprise intranet global coverage is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless communication, in particular to a RIS-based enterprise intranet global coverage method and system. BACKGROUND

[0002] With the rapid development of wireless communication technology, the demand for network coverage within enterprises is increasing. Traditional wireless local area networks (WLAN) and cellular networks are widely used in enterprise environments, but in complex building structures, dense office environments, and special geographic conditions, these traditional network technologies face many challenges. For example, in high-rise buildings, signal attenuation and multipath effects seriously affect signal quality; in mountainous or other complex terrain areas, signal coverage has blind spots, making it difficult to achieve global coverage. In addition, traditional networks are prone to congestion and interference when facing high-density user demand, and cannot guarantee efficient communication services. In order to overcome these problems, in recent years, Reconfigurable Intelligent Surface (RIS) technology has gradually become a research hotspot. RIS can significantly improve signal coverage range and quality by intelligently regulating wireless signals at the physical layer, and is considered an important part of future wireless communication systems.

[0003] Currently, research and application of RIS technology mainly focuses on optimizing signal propagation paths, improving communication efficiency, and reducing interference. Although existing RIS technology has solved the problem of signal coverage and quality to some extent, there are still some shortcomings. First, most RIS systems use fixed configurations and cannot dynamically adapt to environmental changes, resulting in unsatisfactory performance in complex scenarios. Second, existing technology has limitations in the design of multi-layer metamaterial structures and the integration of phase adjustment algorithms, making it difficult to achieve optimal frequency response and omnidirectional signal control. In addition, there is a lack of effective optimization framework for the cooperative work of base stations and RIS units, which cannot fully exploit the potential of RIS. Especially in complex environments such as urban dense areas and mountainous areas, the existing RIS technology has limited blind area identification and coverage capability, making it difficult to meet the demand for enterprise intranet global coverage.

[0004] Therefore, a RIS-based enterprise intranet global coverage method and system are proposed to solve the problem of poor dynamic environmental adaptability, optimize RIS configuration and coverage capability through a federated learning framework and dynamic adjustment algorithm, and have important practical application value and innovation. SUMMARY

[0005] In view of the problems existing in the existing RIS technology, the present application is proposed.

[0006] Therefore, the problem to be solved by the present application is how to optimize the frequency response by using the adaptive phase adjustment algorithm and the RIS unit of the multi-layer metamaterial structure, realize all-around signal receiving and transmitting, dynamically adjust the position and angle of the RIS unit, and realize the global coverage of the enterprise intranet.

[0007] To solve the above technical problems, the present application provides the following technical solutions.

[0008] In a first aspect, the present application provides a method for global coverage of enterprise intranet based on RIS, which comprises: setting the RIS unit of the multi-layer metamaterial structure according to the adaptive phase adjustment algorithm, optimizing the frequency response, and realizing all-around signal receiving and transmitting; analyzing the signal coverage and propagation characteristics of the urban signal area according to the all-around signal, constructing a channel model, and realizing the cooperative work of the base station and the RIS unit; identifying the mountainous area communication blind area through the RIS phased array, changing the direction of the transmission path, covering the user base station, and realizing the blind area chain communication; combining the urban signal area and the mountainous area communication blind area, dynamically adjusting the position and angle of the RIS unit, and realizing the global coverage of the enterprise intranet.

[0009] As a preferred scheme of the method for global coverage of enterprise intranet based on RIS, the adaptive phase adjustment algorithm comprises the following steps: setting the multi-layer metamaterial structure by calculating the reflection coefficient and the coupling coefficient; adaptively adjusting the phase of the RIS unit according to the environmental change and the signal characteristics by using the genetic algorithm; and optimizing the reflection characteristics of the RIS unit in the wideband frequency band by adjusting the metamaterial structure parameters, and the related formula is as follows:

[0010]

[0011] Wherein, Q is the quality factor of the wideband frequency band, f0 is the center frequency, f H is the upper cutoff frequency, and f L is the lower cutoff frequency.

[0012] The omnidirectional antenna array is set to form a beam to meet the requirements of all-around signal receiving and transmitting, and the specific formula is as follows:

[0013]

[0014] Wherein, AF(θ,φ) is the array factor of the direction φ polar coordinate angle θ, y is the output signal of the formed beam, w n is the complex conjugate weight of the nth antenna element, x n is the signal received by the nth antenna element, N is the total number of omnidirectional antenna array elements, and k is the wave number.

[0015] As a preferred scheme of the method for global coverage of enterprise intranet based on RIS, the specific formula of the reflection coefficient is as follows:

[0016]

[0017] where Γ is the reflection coefficient, Z L is the load impedance, and Z0 is the characteristic impedance.

[0018] The specific formula of the coupling coefficient is as follows:

[0019]

[0020] where k is the coupling coefficient, Z m is the mutual impedance, and Z1 and Z2 are the self-impedances of the two layers.

[0021] The specific formula of the phase is as follows:

[0022]

[0023] where, is the phase of the unit (i,j) at the t+1th iteration, η is the learning rate, and L is the negative signal-to-noise ratio.

[0024] As a preferred solution of the enterprise intranet global coverage method of the RIS, wherein: based on the omnidirectional signal to establish a channel model, predict the propagation characteristics of the signal; the propagation characteristics include the propagation path and the propagation loss; the construction process of the channel model includes the following steps: collecting signal coverage data in urban environment, identifying signal strength distribution; according to the initial signal coverage data and the propagation characteristics, configuring the initial state of the RIS unit, and dynamically adjusting the configuration of the RIS unit by using the channel model; based on the prediction result of the channel model, adjusting the reflection coefficient Γ and the phase of the RIS unit; realize the cooperative work of the base station and the RIS, maximize the coverage area and the signal quality; the related formula of the omnidirectional signal is as follows:

[0025]

[0026] where Z(s0) is the signal strength of the point to be estimated, N is the total number of known points, λ i is the weight of the i-th known point, and Z(s i ) is the signal strength of the i-th known point.

[0027] The specific formula of the channel model is as follows:

[0028]

[0029] where PL(d) is the path loss between the transmitter and the receiver at a distance d, PL(d0) is the path loss at a reference distance d0, n is the path loss exponent, and X σL is a Gaussian random variable with mean value of shadow fading RIS The additional path loss introduced by RIS.

[0030] As a preferred solution of the RIS enterprise intranet global coverage method, wherein: the mountainous area communication blind area comprises the following steps: using terrain data and signal strength measurement, positioning the communication blind area, evaluating the coverage difficulties through the channel model; according to the prediction result of the blind area prediction model, configuring the RIS phased array to change the transmission path, using the optimization algorithm to dynamically adjust the reflection coefficient Γ and phase of the RIS unit Realize the signal coverage of the blind area; according to the user distribution, optimize the directivity and power distribution of the RIS unit, realize the point-to-point coverage, maximize the signal strength and quality; through the adaptive routing algorithm, integrate the communication resources of the urban signal area and the mountainous area communication blind area, realize multi-hop transmission and chain communication.

[0031] As a preferred solution of the RIS enterprise intranet global coverage method, wherein: the related formula of the user distribution is as follows:

[0032]

[0033] Where, P i is the power allocated to the i-th user, α i is the channel gain of the i-th user, γ i is the target SINR of the i-th user, P total is the total available power, and N is the total number of omnidirectional antenna array elements.

[0034] The specific formula of the chain communication is as follows:

[0035] P r = P t + G t + G r - PL(d)

[0036] Where, P r is the received power, P t is the transmitted power, G t is the transmit antenna gain, G r is the receive antenna gain, and PL(d) is the path loss between the transmitter and the receiver at a distance d.

[0037] As a preferred solution of the enterprise intranet global coverage method of the RIS, wherein: the multi-hop transmission comprises the following steps: adjusting the coverage area through the mobile RIS platform, and evaluating the network state in real time; the network state comprises coverage, signal quality and load balancing degree; the particle swarm optimization algorithm is used to optimize the RIS unit position, and the node angle is adjusted through the beam forming technology to adapt to the complex terrain; the communication demand is predicted through the channel model and the RIS unit is configured; according to the evaluation result, the position and angle of the RIS unit are dynamically adjusted to realize the enterprise intranet global coverage.

[0038] In the second aspect, the embodiments of the present application provide an enterprise intranet global coverage system based on RIS, which comprises: a receiving module for setting RIS units of a multi-layer metamaterial structure according to an adaptive phase adjustment algorithm, optimizing frequency response, and realizing omnidirectional signal reception and transmission; a building module for analyzing signal coverage and propagation characteristics of a city signal area according to omnidirectional signals, constructing a channel model, and realizing cooperative work of a base station and RIS units; a coverage module for identifying a mountainous area communication blind area through an RIS phased array, changing the direction of a transmission path, covering a user base station, and realizing blind area chain building communication; and an adjusting module for dynamically adjusting the position and angle of the RIS unit in combination with the city signal area and the mountainous area communication blind area, and realizing enterprise intranet global coverage.

[0039] In the third aspect, the embodiments of the present application provide a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program instructions are executed by the processor, the steps of the enterprise intranet global coverage method of the RIS are realized.

[0040] In the fourth aspect, the embodiments of the present application provide a computer readable storage medium having a computer program stored thereon, wherein when the computer program instructions are executed by the processor, the steps of the enterprise intranet global coverage method of the RIS are realized.

[0041] The present application has the following beneficial effects: through the adaptive phase adjustment algorithm and the RIS unit of the multi-layer metamaterial structure, the frequency response is optimized, and omnidirectional signal reception and transmission are realized; through the federal learning framework, the RIS configuration is optimized, the base station and the RIS unit are cooperatively worked, and the communication efficiency of the coverage area is improved; through the RIS phased array, the mountainous area communication blind area is identified and covered, and blind area chain building communication is realized; in combination with the city signal area and the mountainous area communication blind area, the position and angle of the RIS unit are dynamically adjusted, the enterprise intranet global coverage is realized, and the adaptability and coverage efficiency of the communication network are improved. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort. Among them:

[0043] Figure 1 Flow chart of the enterprise intranet global coverage method of the RIS of embodiment 1.

[0044] Figure 2 RIS phased array feature chart of the enterprise intranet global coverage method of the RIS of embodiment 1.

[0045] Figure 3 RIS city coverage application chart of the enterprise intranet global coverage method of the RIS of embodiment 1.

[0046] Figure 4 RIS phased array mountain coverage application of the enterprise intranet global coverage method of the RIS of embodiment 1. DETAILED DESCRIPTION

[0047] In order to make the above-mentioned objects, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings.

[0048] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, but the present application can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the connotation of the present application, therefore the present application is not limited to the specific embodiments disclosed below.

[0049] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In one embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an independent or alternative embodiment that excludes other embodiments.

[0050] Embodiment 1

[0051] Reference Figures 1-4 For the first embodiment of the present application, the embodiment provides a RIS-based enterprise intranet global coverage method, which comprises,

[0052] S1: setting the RIS unit of the multi-layer metamaterial structure according to the adaptive phase adjustment algorithm, optimizing the frequency response, and realizing omnidirectional signal receiving and transmitting.

[0053] Specifically, the adaptive phase adjustment algorithm includes the following steps: setting the multi-layer metamaterial structure by calculating the reflection coefficient and the coupling coefficient; the specific formula of the reflection coefficient is as follows:

[0054]

[0055] Where Γ is the reflection coefficient, Z L is the load impedance, and Z0 is the characteristic impedance.

[0056] The specific formula of the coupling coefficient is as follows:

[0057]

[0058] Where k is the coupling coefficient, Z m is the mutual impedance, and Z1 and Z2 are the self-impedances of the two layers.

[0059] Further, the genetic algorithm is used to adaptively adjust the phase of the RIS unit according to the environmental changes and signal characteristics, and the specific formula is as follows:

[0060]

[0061] Where, is the phase of unit (i, j) at the t+1th iteration, η is the learning rate, and L is the negative signal-to-noise ratio.

[0062] Further, by adjusting the metamaterial structure parameters, the reflection characteristics of the RIS unit in the wideband frequency range are optimized, and the related formula is as follows:

[0063]

[0064] Where Q is the quality factor of the wideband frequency range, f0 is the center frequency, f H is the upper cutoff frequency, and f L is the lower cutoff frequency.

[0065] Specifically, an omnidirectional antenna array is set to form a beam to meet the requirements of omnidirectional signal reception and transmission, and the specific formula is as follows:

[0066]

[0067] Where AF(θ, φ) is the array factor of the direction φ polar coordinate angle θ, y is the output signal of the formed beam, w n is the complex conjugate weight of the nth antenna element, x n is the signal received by the nth antenna element, N is the total number of omnidirectional antenna array elements, and k is the wave number.

[0068] It should be noted that the reflection coefficient formula is used to calculate the reflection of electromagnetic waves at the interface of the medium, which helps to design the multi-layer metamaterial structure; the coupling coefficient formula describes the strength of electromagnetic interaction between adjacent layers, which is crucial for optimizing the multi-layer structure; the phase adjustment formula uses genetic algorithm to dynamically adjust the phase of RIS unit according to environmental changes and signal characteristics, improving system adaptability; the quality factor formula of wideband frequency band is used to evaluate and optimize the reflection characteristics of RIS unit in a wide frequency range, ensuring good performance in a wider frequency range; the array factor formula describes the directional radiation characteristics of the omnidirectional antenna array, which is used to form the required beam pattern to realize omnidirectional signal reception and transmission.

[0069] Further, as shown in Figure 2 , the technical characteristics of RIS phased array, as can be seen from the figure, RIS phased array receives signal network with high gain directional beam in a wide range; emit in any direction, thereby changing the propagation path of the signal, and effectively avoiding the situation that communication cannot be carried out due to shielding.

[0070] S2: According to the omnidirectional signal analysis of the signal coverage and propagation characteristics of the city, a channel model is constructed to realize the cooperative work of the base station and the RIS unit.

[0071] Specifically, the construction process of the channel model includes the following steps: based on the omnidirectional signal, a channel model is established to predict the propagation characteristics of the signal; the propagation characteristics include the propagation path and the propagation loss; collect signal coverage data in the urban environment, identify signal strength distribution; the relevant formula of the omnidirectional signal is as follows:

[0072]

[0073] Wherein, Z(s0) is the signal strength of the point to be estimated, N is the total number of known points, λ i is the weight of the i-th known point, Z(s i ) is the signal strength of the i-th known point.

[0074] The specific formula of the channel model is as follows:

[0075]

[0076] Wherein, PL(d) is the path loss between the transmitter and the receiver at a distance d, PL(d0) is the path loss at a reference distance d0, n is the path loss exponent, X σ is the average value of the shadow fading Gaussian random variable, L RIS is the additional path loss introduced by RIS.

[0077] It should be noted that the omnidirectional signal formula is used to estimate the signal strength of any point in the urban environment, and the signal strength of unknown points is predicted by weighted average of known points, which helps to build comprehensive coverage signal; the channel model formula describes the loss of signal in the propagation process, considering the factors of distance, path loss index, shadow fading and additional loss introduced by RIS, which provides a theoretical basis for predicting signal propagation characteristics.

[0078] Further, according to the initial signal coverage data and propagation characteristics, the initial state of the RIS unit is configured, and the configuration of the RIS unit is dynamically adjusted by using the channel model; based on the prediction result of the channel model, the reflection coefficient Γ and the phase of the RIS unit are adjusted The cooperative work of base station and RIS is realized, and the coverage area and signal quality are maximized.

[0079] Further, as shown in Figure 3 , the base station signals of BS1 and BS2 cannot be directly sent to User1, 2, 3, 4 in many cases of urban network, and need to change the signal propagation direction through RIS1, 2, 3, so as to realize the communication between base station and coverage area.

[0080] S3: Identify the mountain communication blind area through RIS phased array, change the direction of transmission path, cover to user base station, and realize the blind area chain communication.

[0081] Specifically, the mountain communication blind area includes the following steps: positioning the communication blind area by using the terrain data and signal strength measurement, and evaluating the coverage difficulty by the channel model; according to the prediction result of the blind area prediction model, the RIS phased array is configured to change the transmission path, and the reflection coefficient Γ and the phase of the RIS unit are dynamically adjusted by using the optimization algorithm The signal coverage of the blind area is realized.

[0082] Further, according to the user distribution, the directivity and power distribution of the RIS unit are optimized to realize point-to-point coverage and maximize the signal strength and quality; the related formula of user distribution is as follows:

[0083]

[0084] Where, P i is the power allocated to the i-th user, α i is the channel gain of the i-th user, γ i is the target SINR of the i-th user, P total is the total available power, and N is the total number of omnidirectional antenna array elements.

[0085] Further, through the adaptive routing algorithm, the communication resources of the urban signal area and the mountain communication blind area are integrated to realize multi-hop transmission and chain communication; the specific formula of chain communication is as follows:

[0086] P r = P t + G t + G r - PL(d)

[0087] where P r is the received power, P t is the transmitted power, G t is the transmitted antenna gain, G r is the received antenna gain, and PL(d) is the path loss between the transmitter and receiver at a distance d.

[0088] It should be noted that the power allocation formula allocates optimal power to each user under the constraint of total available power based on the user's channel gain and target signal-to-noise ratio, in order to achieve point-to-point coverage and maximize signal strength and quality, which helps to achieve more efficient resource utilization in complex terrain; the link establishment communication formula describes the relationship between received power, transmitted power, antenna gain and path loss, providing a theoretical basis for evaluating communication link quality and determining the optimal configuration of RIS phased array to change the transmission path, bypass terrain obstacles and achieve effective coverage of blind area users. The two formulas work together to optimize the deployment and configuration of RIS units and improve the coverage capability and performance of the entire communication system in complex terrain.

[0089] Specifically, as shown in Figure 4 , the RIS phased array makes full use of the characteristics of RIS in the signal-free blind area of the mountainous area, changes the direction of the transmission path, bypasses the shielding of the mountainous area to the signal, and finally covers the user base station, completing the link establishment communication in the blind area.

[0090] S4: Combining the signal area in the city and the communication blind area in the mountainous area, dynamically adjusting the position and angle of the RIS unit to achieve global coverage of the enterprise intranet.

[0091] Specifically, the multi-hop transmission includes the following steps: adjusting the coverage area by moving the RIS platform, real-time evaluating the network state; the network state includes coverage, signal quality and load balancing degree; using particle swarm optimization algorithm to optimize the position of RIS unit, and adjusting the node angle through beamforming technology to adapt to complex terrain; predicting communication demand through channel model and configuring RIS unit; according to the evaluation result, dynamically adjusting the position and angle of RIS unit to realize global coverage of enterprise intranet.

[0092] Further, when the coverage is below the preset threshold, the coverage area is expanded by moving the RIS platform; if the signal quality is poor, the particle swarm optimization algorithm is used to recalculate and adjust the optimal position of the RIS unit; when the load distribution is unbalanced, the RIS node angle is adjusted by beamforming technology to balance the network load; when the communication demand changes, the RIS unit is reconfigured according to the prediction results of the channel model; when the terrain complexity increases, the position and angle of the RIS unit are adjusted by combining particle swarm optimization and beamforming technology to adapt to complex terrain.

[0093] It should be noted that the preset threshold is the minimum acceptable standard of network performance, which is determined according to the specific needs of enterprises and industry standards, and is not a fixed universal value; the threshold may include coverage, signal strength, data transmission rate and network delay. For example, 95% of the enterprise area requires signal reception, the minimum received signal strength is -90dBm, the minimum download speed is 10Mbps, and the network delay is within 50ms.

[0094] Further, the embodiment also provides an RIS-based enterprise intranet global coverage system, which comprises: a receiving module for setting RIS units of a multi-layer metamaterial structure according to an adaptive phase adjustment algorithm, optimizing frequency response, and realizing omnidirectional signal reception and transmission; an establishing module for analyzing signal coverage and propagation characteristics in the city according to omnidirectional signal analysis, constructing a channel model, and realizing cooperative work of base stations and RIS units; a coverage module for identifying mountainous area communication blind areas through RIS phased array, changing the direction of the transmission path, covering the user base station, and realizing blind area chain communication; and an adjusting module for dynamically adjusting the position and angle of the RIS unit in combination with the signal area in the city and the mountainous area communication blind area, and realizing enterprise intranet global coverage.

[0095] The embodiment also provides a computer device suitable for the RIS-based enterprise intranet global coverage method, which comprises a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to realize the RIS-based enterprise intranet global coverage method proposed in the above embodiment.

[0096] The computer device can be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected by a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved by WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0097] The embodiment also provides a storage medium having a computer program stored thereon, the program being executed by a processor to implement the following steps: setting RIS units of a multi-layer metamaterial structure according to an adaptive phase adjustment algorithm, optimizing frequency response, and realizing omnidirectional signal reception and transmission; analyzing coverage and propagation characteristics of a signal area in a city according to omnidirectional signals, constructing a channel model, and realizing cooperative work of a base station and the RIS units; identifying a communication blind area in a mountainous area through a RIS phased array, changing the direction of a transmission path, covering a user base station, and realizing blind area chain building communication; and dynamically adjusting the position and angle of the RIS units in combination with the signal area in the city and the communication blind area in the mountainous area, and realizing global coverage of an enterprise intranet.

[0098] To sum up, the adaptive phase adjustment algorithm and the RIS units of the multi-layer metamaterial structure are used to optimize frequency response, realize omnidirectional signal reception and transmission, optimize RIS configuration through a federal learning framework, make the base station and the RIS units work cooperatively, improve the communication efficiency of a coverage area, identify and cover a communication blind area in a mountainous area through a RIS phased array, realize blind area chain building communication, dynamically adjust the position and angle of the RIS units in combination with the signal area in the city and the communication blind area in the mountainous area, realize global coverage of an enterprise intranet, and improve the adaptability and coverage efficiency of a communication network.

[0099] Embodiment 2

[0100] Referring to Table 1, a second embodiment of the present application is provided, which provides a method for global coverage of an enterprise intranet based on RIS. In order to verify the beneficial effects of the present application, economic benefit calculation and simulation experiments are used for scientific demonstration.

[0101] Specifically, the test area covers a 5-square-kilometer commercial center, including multiple high-rise buildings, underground shopping malls, and open squares. The test environment simulates the various challenges faced by enterprise intranets in complex urban environments, such as signal shielding, multipath effects, and interference issues. Ten RIS phased array units are deployed in the test area, each containing 256 independently controllable reflecting units; the RIS units are strategically placed at key locations on building exterior walls, central squares, and underground passages. Meanwhile, three traditional base stations are installed as a control group. To comprehensively evaluate system performance, 100 test points are evenly distributed within the test area, covering different scenarios such as indoor, outdoor, and underground.

[0102] Further, the test process is divided into three stages: the first stage uses traditional base stations for coverage; the second stage activates RIS phased arrays but does not perform intelligent optimization; the third stage fully activates the intelligent optimization algorithm of RIS phased arrays; in each stage, signal strength, data throughput, coverage, and user experience quality are tested at 100 test points.

[0103] Furthermore, as shown in Table 1, in terms of average signal strength, the RIS intelligent optimization scheme improves by 23.53% compared to traditional base station coverage, reaching -65dBm, resulting from the RIS phased array's ability to accurately control signal reflection direction, effectively reducing signal attenuation and the impact of multipath effects. Stronger signal strength directly translates to better user experience and higher data transmission reliability. Coverage improvement is particularly significant, increasing from 82% for traditional base stations to 98% for RIS intelligent optimization, an increase of 19.51%, almost eliminating network coverage blind spots and providing seamless network experience for enterprise users.

[0104] Table 1 Test Data Table

[0105] Test parameters Conventional base station coverage RIS without optimization RIS with intelligent optimization Percentage of improvement Average signal strength (dBm) -85 -78 -65 23.53％ Coverage rate (%) 82 91 98 51％ Average throughput (Mbps) 15 25 40 166.67％ Quality of user experience (1-10 points) 6.5 7.8 9.2 41.54％ Number of signal blind spots 18 7 2 88.89％

[0106] Specifically, in terms of average throughput, the RIS intelligent optimization scheme achieves a 166.67% increase, from 15Mbps for traditional base stations to 40Mbps. In terms of user experience quality, it increases from 6.5 points to 9.2 points, an increase of 41.54%. Reflecting network stability, response speed, and service quality.

[0107] Further, the reduction in the number of signal blind spots is one of the most prominent aspects of the RIS system. From 18 blind spots under traditional base station coverage to only 2, a reduction of 88.89%, reflecting the unique advantages of RIS technology in solving signal coverage problems in complex environments.

[0108] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced, without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A method for RIS-based enterprise intranet global coverage, characterized in that: Comprising, According to the adaptive phase adjustment algorithm, the RIS unit of the multi-layer metamaterial structure is set, the frequency response is optimized, and omnidirectional signal reception and transmission are realized; According to the omnidirectional signal analysis of the signal coverage and propagation characteristics of the urban signal area, a channel model is constructed, and the base station and the RIS unit work cooperatively; The construction process of the channel model includes establishing a channel model based on the omnidirectional signal and predicting the propagation characteristics of the signal; The propagation characteristics include the propagation path and the propagation loss; Collect signal coverage data in the urban environment and identify signal strength distribution; According to the initial signal coverage data and the propagation characteristics, the initial state of the RIS unit is configured, and the configuration of the RIS unit is dynamically adjusted using the channel model; Adjusting reflection coefficients Γ and phases of RIS units based on prediction results of channel model Realize the cooperative work of base station and RIS, maximize the coverage area and signal quality; By identifying the mountainous area communication blind area through the RIS phased array, the direction of the transmission path is changed, the user base station is covered, and the blind area chain communication is realized; Combining the urban signal area and the mountainous area communication blind area, the position and angle of the RIS unit are dynamically adjusted to realize the global coverage of the enterprise intranet.

2. The method for enterprise intranet global coverage of RIS according to claim 1, characterized in that: The adaptive phase adjustment algorithm includes the following steps: By calculating the reflection coefficient and the coupling coefficient, a multi-layer metamaterial structure is set; Using a genetic algorithm, the phase of the RIS unit is adaptively adjusted according to environmental changes and signal characteristics; By adjusting the metamaterial structure parameters, the reflection characteristics of the RIS unit in the wideband frequency range are optimized, and the related formulas are as follows: where Q is the quality factor of the wideband frequency band, f0is the center frequency, f H is the upper cutoff frequency, and f L is the lower cutoff frequency. An omnidirectional antenna array is set to form a beam to meet the omnidirectional signal reception and transmission requirements, and the specific formula is as follows: where AF(θ, φ) is the array factor for direction φ polar angle θ, y is the output signal forming a beam, w n is the complex conjugate weight of the nth antenna element, x n is the signal received by the nth antenna element, N is the total number of omnidirectional antenna array elements, and k1 is the wave number.

3. The method for enterprise intranet global coverage of RIS according to claim 2, characterized in that: The specific formula of the reflection coefficient is as follows: where Γ is the reflection coefficient, Z L is the load impedance, and Z0is the characteristic impedance. The specific formula of the coupling coefficient is as follows: where k2 is a coupling coefficient, Z m is the mutual impedance, and Z1 and Z2 are the self impedances of the two layers. The specific formula of the phase is as follows: wherein, is the phase of cell (i,j) at iteration t+1, η is the learning rate, and L is the negative signal-to-noise ratio.

4. The method for enterprise intranet global coverage of RIS according to claim 1, characterized in that: The related formula of the omnidirectional signal is as follows: Wherein, Z(s0) is the signal strength of the point to be estimated, N is the total number of known points, λ i is the weight of the ith known point, Z(s i ) is the signal strength of the ith known point; The specific formula of the channel model is as follows: where PL(d) is the path loss at distance d between the transmitter and receiver, PL(d0) is the path loss at a reference distance d0, n is the path loss exponent, X σ is a shadowed fading mean Gaussian random variable, L RIS is the additional path loss introduced by the RIS.

5. The method for enterprise intranet global coverage of RIS according to claim 1, characterized in that: The identification of the mountainous area communication blind area includes the following steps: Using terrain data and signal strength measurement, the communication blind area is located, and the coverage difficulty is evaluated through the channel model; According to the prediction result of the blind area prediction model, the RIS phased array changes the transmission path, and the reflection coefficient Γ and the phase of the RIS unit are dynamically adjusted by using an optimization algorithm Signal coverage of the blind area is realized; According to the user distribution, the directivity and power distribution of the RIS unit are optimized to realize point-to-point coverage and maximize signal strength and quality; Through an adaptive routing algorithm, the communication resources of the urban signal area and the mountainous area communication blind area are integrated to realize multi-hop transmission and chain communication.

6. The method for enterprise intranet global coverage of RIS according to claim 5, characterized in that: The related formula of the user distribution is as follows: where P i is the power allocated to the i-th user, a i is the channel gain of the i-th user, γ i is the target SINR of the i-th user, P total is the total available power, and N is the total number of omni-directional antenna array elements. The specific formula of the chain communication is as follows: P r = P t + G t + G r - PL(d) where P r is the received r power, P t is the transmitted t power, G t is the transmitted t antenna gain, G r is the received r antenna gain, and PL(d) is the path loss for the distance d between the transmitter and receiver.

7. The method for enterprise intranet global coverage of RIS according to claim 5, characterized in that: The multi-hop transmission includes the following steps: By adjusting the coverage area through the mobile RIS platform, the network state is evaluated in real time; The network state includes coverage rate, signal quality, and load balancing degree; Using a particle swarm optimization algorithm, the position of the RIS unit is optimized, and the node angle is adjusted through beamforming technology to adapt to complex terrain; The communication demand is predicted through the channel model and the RIS unit is configured; According to the evaluation results, the position and angle of the RIS unit are dynamically adjusted to realize the global coverage of the enterprise intranet.

8. The RIS-based enterprise intranet global coverage system based on the RIS-based enterprise intranet global coverage method of any one of claims 1-7, characterized in that: Comprising, The receiving module is used to set the RIS unit of the multi-layer metamaterial structure according to the adaptive phase adjustment algorithm, optimize the frequency response, and realize omnidirectional signal reception and transmission; The establishing module is used to analyze the signal coverage and propagation characteristics of the urban signal area according to the omnidirectional signal, construct a channel model, and realize the cooperative work of the base station and the RIS unit. The covering module is used for identifying a mountainous area communication blind area through the RIS phased array, changing a direction of a transmission path, covering a user base station, and realizing blind area link establishment communication. The adjusting module is used for dynamically adjusting positions and angles of the RIS units in combination with the urban signal area and the mountainous area communication blind area, and realizing enterprise intranet global coverage. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is characterized in that: The processor executes the computer program to realize the steps of the RIS enterprise intranet global coverage method in any one of claims 1-7.

10. A computer readable storage medium having stored thereon a computer program, characterized in that: The computer program is executed by the processor to realize the steps of the RIS enterprise intranet global coverage method in any one of claims 1-7.

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