High-speed data transmission antenna system based on millimeter waves

Abstract

The invention belongs to the technical field of wireless communication, and particularly relates to a high-speed data transmission antenna system based on millimeter waves, which integrates an environment sensing assembly, a dynamic positioning assembly, a path planning assembly, a tracking adjustment assembly, an optimized millimeter wave transmitting and receiving array assembly, a feedback monitoring assembly, a self-adaptive gain control assembly, an intelligent energy management assembly and the like. The mobile user can be dynamically tracked in a rapidly changing environment, the antenna direction is adjusted in real time, the optimal signal path is calculated, the signal intensity is finely adjusted to deal with signal attenuation, and meanwhile efficient operation of the system is ensured. Through the combined action of the components which work cooperatively, the purpose of maintaining stable high-speed data connection in a complex environment is achieved, and the communication experience of a user is remarkably improved, so that the problem of how to dynamically track a mobile user and maintain stable high-speed data connection in a rapidly changing environment in the prior art is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless communications, and in particular relates to a millimeter wave-based high-speed data transmission antenna system. Background Art

[0002] In the current wireless communication field, with the growing demand for high-speed data transmission and the increasing popularity of mobile devices, traditional microwave-based data transmission systems have gradually exposed shortcomings such as limited bandwidth and susceptibility to interference. In order to meet the growing data transmission rate requirements and provide more stable services, the industry has begun to turn to higher-frequency millimeter wave (mmWave) bands. The millimeter wave band has a larger available bandwidth and can support higher data transmission rates, but it also brings new challenges, such as small signal coverage, weak penetration and diffraction capabilities, etc.

[0003] In the existing technology, some solutions attempt to improve the performance of millimeter wave communication systems by increasing base station density or adopting large-scale multiple-input multiple-output (MIMO) antenna arrays. However, these methods have difficulty maintaining stable connections in rapidly changing environments, especially when users are highly mobile. Traditional systems cannot dynamically track the user's mobile location and adjust the antenna pointing according to environmental changes in real time, resulting in unstable connections and reduced user experience. Summary of the invention

[0004] The purpose of the present invention is to provide a millimeter-wave based high-speed data transmission antenna system, which can significantly improve the connection stability in a rapidly changing environment while maintaining a high data transmission rate, thereby providing users with a more reliable and smooth communication experience, so as to solve the problem in the prior art of how to dynamically track mobile users in a rapidly changing environment and maintain a stable high-speed data connection.

[0005] To achieve the above object, the present invention adopts the following technical solution: a millimeter wave-based high-speed data transmission antenna system, comprising:

[0006] A main control unit for processing and coordinating the interactions between all internal components, the main control unit is connected to the environmental perception module to continuously monitor changes in the surrounding physical space and collect relevant information;

[0007] The output end of the environment perception module is connected to a dynamic positioning component, and the dynamic positioning component determines the real-time position of the mobile user based on the received information;

[0008] The dynamic positioning component is connected to the path planning structure, which is responsible for calculating the optimal signal path to ensure connection stability. The path planning structure is followed by a tracking adjustment component, which instantly corrects the antenna pointing angle according to the calculated optimal path;

[0009] The tracking and adjustment component operates a pair of millimeter wave transmitting and receiving arrays, which are optimized for high-frequency band communications, and the millimeter wave transmitting and receiving arrays are connected to a feedback monitoring link to continuously evaluate the current connection quality and report to the main control unit;

[0010] The feedback monitoring link is also coupled to an adaptive gain control interface, which is used to fine-tune signal strength to cope with signal attenuation under different environmental conditions. The adaptive gain control interface is associated with an energy management platform, which allocates power resources.

[0011] Preferably, the main control unit performs the following operation flow:

[0012] Receive the spatial variation information stream X provided by the environment perception module, where the spatial variation information stream X is represented as a series of numerical sequences, each of which corresponds to a measurement result at a time point τ: X(τ) = {x1, x2, ..., xn};

[0013] Using the received information stream X(τ), the user location coordinate Y is calculated and obtained by the formula Y=T(X(τ)), where T represents the conversion process and the location coordinate Y used directly depends on the previously collected spatial change information X;

[0014] Based on the determined position coordinates Y, an optimal signal path Z is generated. The path consists of a series of nodes, and the expression is Z = G (Y), where G is the process of constructing the path based on the coordinates;

[0015] Under the action of the tracking adjustment component, the antenna pointing angle Θ is adjusted according to the path Z generated above, so that Θ=H(Z), where H represents the angle adjustment rule, to ensure that the antenna is always aimed at the node on the optimal path.

[0016] Preferably, the environment perception module performs the following operation flow:

[0017] Analyze the captured information flow X(τ) and extract the feature set V, which is realized through the transformation process V = T'(X(τ)). T' ensures that the original data is transformed into a feature set with representational significance. The feature set V is directly derived from the information flow X;

[0018] The potential interference factor W is evaluated using the feature set V. The calculation formula is W = E(V), where E represents the evaluation process.

[0019] Generate optimization recommendations U based on the evaluation results W, according to the rule U = R (W), where R represents the process of formulating optimization strategies.

[0020] Preferably, the dynamic positioning component performs the following operation flow:

[0021] By analyzing the information flow X(τ), the position coordinates P of the mobile user are calculated using the formula P=F(X(τ)), where F represents the conversion process from the captured spatial change information to the position coordinates. The position coordinates P directly depend on the input information flow X;

[0022] Based on the location coordinates P, predict the new location Q that the user may reach at the next moment, using the formula Q = G(P), where G represents the process of predicting the future location based on the current location;

[0023] Using the predicted new position Q, an adjustment parameter S is determined to guide subsequent actions of the antenna system. According to the formula S=H(Q), H represents the process of formulating an adjustment strategy based on the predicted position.

[0024] Preferably, the path planning structure performs the following operation flow:

[0025] Receive the user location coordinates P provided by the dynamic positioning component, which are composed of data at the time point τ: P(τ) = {p1, p2, ..., pn};

[0026] According to the position coordinates P(τ), the environment model M is constructed using the formula M = B(P(τ)), where B represents the process of converting the position information into an environment representation;

[0027] Based on the environment model M, the signal path candidate set L is calculated by the formula L = C(M), where C represents the process of generating potential paths from the environment model;

[0028] Evaluate the quality index I of each path in the candidate set L, using the formula I = D(L), where D represents the process of quantifying the path quality;

[0029] The optimal path O is selected according to the formula O=E(I), where E represents the process of selecting the best path based on quality indicators, ensuring that the final selected path O provides the most stable connection. This selection is strictly based on the quality evaluation I in the previous step.

[0030] Preferably, the tracking and adjusting component performs the following operation flow:

[0031] Receive an optimal path O provided by the path planning structure, where the optimal path O consists of a series of nodes: O = {o1, o2, ..., on};

[0032] According to the optimal path O, the initial pointing angle Θ0 of the antenna is calculated using the formula Θ0 = A(O), where A represents the process of converting the path information into the initial angle, ensuring that the angle Θ0 corresponds to the starting point in the path O;

[0033] During the movement, the antenna pointing angle is updated to θ1 according to the user's position change ΔP, using the formula θ1 = B(θ0, ΔP), where B represents the process of adjusting the angle according to the position change, ensuring that the new angle θ1 reflects the user's latest position;

[0034] Continuously monitor the signal strength S. When the signal strength drops by more than the preset standard T, start the fine-tuning process, using the formula S'=C(S,T), where C represents the process of evaluating whether fine-tuning is needed;

[0035] If it is determined that fine-tuning is required, the fine-tuning increment δ is calculated using the formula δ=D(S',O), where D represents the process of adjusting the increment based on the current signal strength and the optimal path, ensuring that the fine-tuning increment δ restores the signal strength to an ideal state.

[0036] Preferably, the millimeter wave transmitting and receiving array performs the following operation process:

[0037] Receiving a pointing angle θ provided by a tracking and adjustment component, the pointing angle θ is used to guide the direction adjustment of the array: θ = {θ1, θ2, ..., θn};

[0038] According to the pointing angle Θ, the phase difference Φ of each unit in the millimeter wave transmitting and receiving array is set, and the formula Φ=F(Θ) is used, where F represents the process of converting the angle information into the corresponding phase difference, ensuring that the phase difference Φ corresponds to the angle Θ;

[0039] After setting the phase difference Φ, the radiation pattern G of the array is calculated, through the formula G = H (Φ), where H represents the process of generating the radiation pattern according to the phase difference;

[0040] Using the radiation pattern G, the data transmission rate R is evaluated and adjusted, using the formula R = I (G), where I represents the process of determining the optimal transmission rate based on the radiation pattern;

[0041] Monitor the connection quality Q and dynamically adjust the phase difference Φ according to the connection quality Q, using the formula Φ'=J(Q,Φ), where J represents the process of adjusting the phase difference according to the connection quality feedback.

[0042] Preferably, the feedback monitoring link performs the following operation flow:

[0043] Receive the real-time signal strength S provided by the millimeter wave transmitting and receiving array, where the real-time signal strength S is composed of data at time point τ: S(τ) = {s1, s2, ..., sn};

[0044] Based on the received signal strength S(τ), the connection quality indicator Q is calculated using the formula Q=A(S(τ)), where A represents the process of converting signal strength into a quality indicator;

[0045] Using the connection quality index Q, a performance evaluation report R is generated. The formula R = B(Q), where B represents the process of generating an evaluation report based on the quality index, ensures that the report R fully reflects the connection performance.

[0046] The performance evaluation report R is transmitted to the main control unit, and at the same time, based on the information in the report R, it is determined whether the parameter U needs to be adjusted, using the formula U = C (R), where C represents the process of formulating an adjustment plan based on the evaluation report to ensure that the adjustment parameter U optimizes the connection performance;

[0047] If it is determined that adjustment is required, a specific adjustment value V is calculated using the formula V=D(U), where D represents the process of calculating a specific value based on the adjustment parameter.

[0048] Preferably, the adaptive gain control interface performs the following operation flow:

[0049] Receive the connection quality indicator Q provided by the feedback monitoring link, where the connection quality indicator Q is composed of data at time point τ: Q(τ) = {q1, q2, ..., qn};

[0050] Based on the connection quality index Q(τ), the signal attenuation degree D under the current environmental conditions is evaluated using the formula D=A'(Q(τ)), where A' represents the process of converting the quality index into the attenuation degree;

[0051] The initial gain adjustment amount G0 is determined by using the estimated signal attenuation degree D, and the formula G0=B(, where B represents the process of calculating the initial gain adjustment amount according to the attenuation degree;

[0052] The actual signal strength S' after adjustment is continuously monitored. When it is detected that the strength S' does not reach the preset standard T, the fine-tuning process is started, and the formula S" = C(S', T) is used, where C represents the process of evaluating whether adjustment is needed, S' is the signal strength after adjustment, and S" is the signal strength after further adjustment.

[0053] If it is determined that adjustment is required, an additional gain adjustment amount ΔG is calculated using the formula ΔG=K(S", G0), where K represents the process of calculating the additional adjustment amount based on the current signal strength and the initial gain adjustment amount.

[0054] Preferably, the energy management platform performs the following operation flow:

[0055] An additional gain adjustment amount ΔG provided by the receiving adaptive gain control interface is used to compensate for signal attenuation under different environmental conditions: ΔG = {g1, g2, ..., gn};

[0056] According to the additional gain adjustment ΔG, the system power demand E is evaluated, and the formula E=A(ΔG) is used, where A represents the process of converting the gain adjustment into the power demand, ensuring that the power demand E accurately reflects the increased power consumption due to the signal adjustment and directly depends on the additional gain adjustment ΔG;

[0057] Using the estimated electricity demand E, an electricity distribution plan is developed.

[0058] Technical effects and advantages of the present invention: Compared with the prior art, the millimeter wave-based high-speed data transmission antenna system proposed in the present invention has the following advantages:

[0059] The present invention integrates environmental perception, dynamic positioning, path planning, tracking adjustment, optimized millimeter wave transmitting and receiving arrays, feedback monitoring, adaptive gain control and intelligent energy management components, and can dynamically track mobile users in a rapidly changing environment, instantly adjust antenna pointing, calculate the optimal signal path, fine-tune signal strength to cope with signal attenuation, and ensure efficient operation of the system. These collaborative components work together to achieve the goal of maintaining a stable high-speed data connection in a complex environment, significantly improving the user's communication experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a block diagram of the millimeter wave-based high-speed data transmission antenna system of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0062] The present invention provides Figure 1 The millimeter-wave-based high-speed data transmission antenna system shown in the figure integrates environmental perception, dynamic positioning, path planning, tracking adjustment, optimized millimeter-wave transmit and receive arrays, feedback monitoring, adaptive gain control, and intelligent energy management. It can dynamically track mobile users in a rapidly changing environment, instantly adjust the antenna direction, calculate the optimal signal path, and fine-tune the signal strength to cope with signal attenuation, while ensuring the efficient operation of the system. These collaborative components work together to achieve the goal of maintaining a stable high-speed data connection in a complex environment, significantly improving the user's communication experience. The details are as follows:

[0063] Exemplarily, the main control unit is used to process and coordinate the interactions among all internal components, and the main control unit is connected to the environment perception module to continuously monitor the changes in the surrounding physical space and collect relevant information;

[0064] Furthermore, the main control unit can understand the changes in the surrounding physical environment in real time by receiving the spatial change information flow X provided by the environment perception module, and provide basic data for subsequent user position calculation and path planning. The main control unit performs the following operation flow:

[0065] The spatial variation information stream X provided by the receiving environment perception module is represented as a series of numerical sequences, each of which corresponds to the measurement result at a time point τ: X(τ) = {x1, x2, ..., xn}; these numerical sequences reflect the state changes at each moment in the environment.

[0066] Using the received information stream X(τ), the user location coordinate Y is calculated and obtained through the formula Y=T(X(τ)), where T represents the conversion process and the used location coordinate Y directly depends on the previously collected spatial change information X; by converting the received spatial change information stream X(τ) into the user location coordinate Y, the system can accurately determine the user's real-time location, which is a key step in achieving dynamic tracking.

[0067] Based on the determined position coordinates Y, the optimal signal path Z is generated. The path consists of a series of nodes, and the expression is Z = G (Y). G is the process of building a path based on coordinates; this formula ensures that the path selection is based on the latest user location, which improves the stability of the connection. Based on the determined position coordinates Y, the optimal signal path Z is generated to ensure that the most stable transmission path can be found even in complex and changing environments.

[0068] Under the action of the tracking and adjustment component, according to the aforementioned generated path Z, the antenna pointing angle θ is adjusted so that θ=H(Z), where H represents the angle adjustment rule, ensuring that the antenna is always aligned with the node on the optimal path. This formula ensures that the antenna pointing angle closely follows the path, enhancing the response speed and accuracy of the system. According to the generated optimal path Z, the antenna pointing angle θ is adjusted so that the antenna is always aligned with the node on the optimal path, ensuring the efficiency and stability of signal transmission.

[0069] Furthermore, the environment perception module performs the following operation flow:

[0070] Analyze the captured information flow X(τ) and extract the feature set V, which is realized through the transformation process V=T'(X(τ)). T' ensures that the original data is converted into a feature set with representational significance. The feature set V is directly derived from the information flow X. This formula realizes the conversion from raw data to feature data and enhances the efficiency of data processing. By analyzing the captured information flow X(τ), the feature set V with representational significance is extracted, which provides detailed data support for the subsequent evaluation of potential interference factors.

[0071] The potential interference factor W is evaluated using the feature set V, and the calculation formula is W = E(V), where E represents the evaluation process; this formula ensures a comprehensive evaluation of potential interference factors and directly depends on the feature set V. Using the feature set V to evaluate the potential interference factor W enables the system to identify and respond to factors that may affect data transmission, thereby optimizing signal quality.

[0072] Generate optimization suggestions U, based on the evaluation results W, according to the rule U = R (W), R represents the process of formulating optimization strategies. This formula ensures the pertinence and effectiveness of the optimization suggestions, which directly depends on the evaluation results W. Based on the evaluation results W, generate optimization suggestions U, formulate specific optimization strategies to improve system performance and ensure the stability and reliability of data transmission.

[0073] Example

[0074] Assume that in an urban environment, there are multiple mobile users who need to maintain a stable high-speed data connection. The specific implementation steps are as follows:

[0075] The environment perception module continuously monitors the changes in the surrounding physical space and collects relevant information, such as the impact of buildings, obstacles, etc. on the millimeter wave signal. The spatial variation information stream X(τ) records the measurement results at a series of time points τ, such as reflection intensity, distance, etc.

[0076] The main control unit receives the spatial change information stream X(τ) provided by the environment perception module, and calculates the user's position coordinate Y through the formula Y=T(X(τ)). Assume that at a certain time t1, the user is at the coordinate (10, 20, 30).

[0077] Based on the position coordinate Y, the master control unit uses the formula Z=G(Y) to generate the optimal signal path Z. Assume that the path consists of a series of nodes, such as Z={(10,20,30),(15,25,35),(20,30,40)}.

[0078] According to the generated path Z, the main control unit adjusts the antenna pointing angle θ through the formula θ=H(Z) so that the antenna is always aimed at the node on the optimal path. Assume that the initial angle is θ0=(45°,60°), and the adjusted angle is θ1=(50°,65°).

[0079] The environment perception module further analyzes the captured information flow X(τ) and extracts the feature set V. For example, the feature set V may contain information such as reflection intensity and direction.

[0080] Using the feature set V, the environment perception module evaluates potential interference factors W through the formula W = E(V). Suppose new construction is detected nearby, which may reflect or block the signal.

[0081] Finally, based on the evaluation result W, the environmental perception module generates an optimization suggestion U through the formula U=R(W), such as increasing the transmission power or changing the frequency to cope with potential interference factors and ensure the stability of signal transmission.

[0082] The above embodiments demonstrate how the present invention achieves the goal of maintaining a stable high-speed data connection in a rapidly changing environment by integrating multiple components to work together.

[0083] Exemplarily, the output end of the environment perception module is connected to a dynamic positioning component, and the dynamic positioning component determines the real-time location of the mobile user based on the received information;

[0084] Furthermore, the dynamic positioning component performs the following operation flow:

[0085] By analyzing the information flow X(τ), the position coordinates P of the mobile user are calculated using the formula P=F(X(τ)), where F represents the conversion process from the captured spatial change information to the position coordinates. The position coordinates P directly depend on the input information flow X; this is the basis for achieving dynamic tracking and ensuring that the system always knows the user's specific location.

[0086] Based on the location coordinates P, the new location Q that the user may reach at the next moment is predicted using the formula Q=G(P), where G represents the process of predicting the future location based on the current location. This formula ensures the accuracy and foresight of the predicted location, closely following the user's movement trajectory.

[0087] Using the predicted new position Q, the adjustment parameter S is determined to guide the subsequent actions of the antenna system, according to the formula S = H (Q), where H represents the process of formulating an adjustment strategy based on the predicted position. This step ensures that the antenna is always aimed at the node on the optimal path, improving the system's response speed and accuracy.

[0088] Example

[0089] Assume that in an urban environment, there is a mobile user who needs to maintain a stable high-speed data connection. The specific implementation steps are as follows:

[0090] The environment perception module continuously monitors the changes in the surrounding physical space and collects relevant information, such as the impact of buildings, obstacles, etc. on the millimeter wave signal. The spatial variation information stream X(τ) records the measurement results at a series of time points τ, such as reflection intensity, distance, etc.

[0091] The dynamic positioning component receives the spatial change information stream X(τ) provided by the environment perception module and calculates the user's position coordinates P through the formula P=F(X(τ)). Assume that at a certain time t1, the user is at the coordinates P=(10,20,30).

[0092] Based on the position coordinates P, the dynamic positioning component uses the formula Q = G (P) to predict the new position Q that the user may reach at the next moment. Assuming that the user is moving in a certain direction at a constant speed, the predicted position at the next moment t2 is Q = (15, 25, 35).

[0093] Using the predicted new position Q, the dynamic positioning component determines the adjustment parameters S through the formula S = H (Q), which are used to guide the subsequent actions of the antenna system. Assuming that the adjustment parameters include the antenna pointing angle θ and the transmission power P, the adjusted parameters are S = {θ = (50°, 65°), P = 10dBm}.

[0094] Through the above embodiments, it is demonstrated how the present invention can achieve the goal of dynamically tracking mobile users and maintaining stable high-speed data connections in a rapidly changing environment by integrating multiple components to work together. Specifically, the dynamic positioning component receives information from the environment perception module, accurately calculates the user's location, predicts its future location, and formulates an adjustment strategy based on the prediction results to ensure that the antenna system is always aligned with the node on the best path, thereby providing stable data transmission services.

[0095] Exemplarily, the dynamic positioning component is connected to a path planning structure, which is responsible for calculating the optimal signal path to ensure connection stability, and the path planning structure is followed by a tracking adjustment component, which instantly corrects the antenna pointing angle according to the calculated optimal path;

[0096] Furthermore, the path planning structure performs the following operations:

[0097] Receive the user location coordinates P provided by the dynamic positioning component. This coordinate consists of data at time point τ: P(τ) = {p1, p2, ..., pn}; these data reflect the specific location of the user at different time points. The path planning structure receives the user location coordinates P provided by the dynamic positioning component to ensure that the system can understand the user's current location in real time, which is the basis for calculating the optimal signal path.

[0098] Based on the position coordinate P(τ), an environmental model M is constructed using the formula M = B(P(τ)). This formula ensures the accuracy and real-time nature of the environmental model M, which directly depends on the user's position coordinate P. B represents the process of converting position information into an environmental representation; based on the received position coordinate P(τ), the path planning structure constructs the environmental model M, which is used to represent the current physical environment and provide a basis for subsequent path selection.

[0099] Based on the environmental model M, a signal path candidate set L is calculated using the formula L = C(M). C represents the process of generating potential paths from the environmental model; this formula ensures that the selection of candidate paths is based on the latest environmental conditions, improving the flexibility of path selection. Based on the environmental model M, the path planning structure generates a series of possible signal path candidate sets L, providing multiple options for subsequent evaluation.

[0100] The quality index I of each path in the candidate set L is evaluated using the formula I = D(L). D represents the process of quantifying the path quality; this formula ensures that each path has a corresponding stability index I, which directly depends on the candidate path L. The quality of each path in the candidate set L is evaluated, and the quality index I is calculated to ensure the selection of the most stable and efficient transmission path.

[0101] The optimal path O is selected according to the formula O = E(I). E represents the process of selecting the best path based on the quality index, ensuring that the finally selected path O provides the most stable connection. This selection is strictly based on the quality evaluation I in the previous steps. This formula ensures that the selection of the optimal path is strictly based on the previous quality evaluation I, enhancing the scientific nature and reliability of path selection. According to the evaluation result I, the path planning structure selects the optimal path O to ensure that the finally selected path provides the most stable connection.

[0102] Furthermore, the tracking and adjustment component performs the following operation process:

[0103] Receive the optimal path O provided by the path planning structure. The optimal path O consists of a series of nodes: O = {o1, o2,..., on}; these nodes define the best path for the antenna pointing. The tracking and adjustment component receives the optimal path O provided by the path planning structure to ensure that the antenna system can be adjusted according to the best path.

[0104] According to the optimal path O, calculate the initial antenna pointing angle Θ0 using the formula Θ0 = A(O). A represents the process of converting path information into an initial angle, ensuring that the angle Θ0 corresponds to the starting point in the path O; this formula ensures that the initial antenna angle corresponds to the path starting point, improving the accuracy of adjustment. According to the optimal path O, calculate the initial antenna pointing angle Θ0 to ensure that the antenna pointing is consistent with the path starting point, laying a foundation for subsequent adjustment.

[0105] During the movement, according to the change of user position ΔP, the antenna pointing angle is updated to θ1. Through the formula θ1=B(θ0,ΔP), B represents the process of adjusting the angle according to the position change, ensuring that the new angle θ1 reflects the user's latest position; this formula ensures that the new angle θ1 reflects the user's latest position, enhancing the system's response speed. During the movement, according to the change of user position ΔP, the antenna pointing angle is updated to θ1 to ensure that the antenna is always pointed to the user's latest position.

[0106] Continuously monitor the signal strength S. When the signal strength drops by more than the preset standard T, start the fine-tuning process. The formula S'=C(S,T) is used. C represents the process of evaluating whether fine-tuning is needed. This formula ensures that the system can respond to changes in signal strength in a timely manner and maintain a stable connection. Continuously monitor the signal strength S. When the signal strength drops by more than the preset standard T, start the fine-tuning process to ensure that the signal quality always remains at an ideal level.

[0107] If it is determined that fine-tuning is required, the fine-tuning increment δ is calculated, and the formula δ=D(S',O) is used. D represents the process of adjusting the increment according to the current signal strength and the optimal path, ensuring that the fine-tuning increment δ restores the signal strength to the ideal state. This formula ensures that the fine-tuning increment δ can effectively improve the signal strength and enhance the system's adaptive ability. If it is determined that fine-tuning is required, the fine-tuning increment δ is calculated to restore the signal strength to the ideal state and further optimize the signal transmission quality.

[0108] Example

[0109] Assume that in an urban environment, there is a mobile user who needs to maintain a stable high-speed data connection. The specific implementation steps are as follows:

[0110] The dynamic positioning component continuously monitors changes in the surrounding physical space and collects relevant information, such as the impact of buildings, obstacles, etc. on millimeter wave signals. The spatial variation information stream X(τ) records the measurement results at a series of time points τ, such as reflection intensity, distance, etc.

[0111] The dynamic positioning component obtains the user's location coordinates P through the formula P(τ)={p1,p2,...,pn}. Assume that at a certain time t1, the user is located at the coordinates P(τ)=(10,20,30).

[0112] The path planning structure receives the user position coordinates P(τ) and constructs an environment model M through the formula M=B(P(τ)). It is assumed that the environment model M reflects the buildings and other obstacles in the current environment.

[0113] Based on the environment model M, the path planning structure uses the formula L=C(M) to generate a signal path candidate set L. Assume that the candidate set L contains multiple possible paths, such as L={L1, L2, L3}.

[0114] The quality of each path in the candidate set L is evaluated, and the quality index I is calculated using the formula I = D(L). Assume that the evaluation result shows that the quality of path L2 is the highest, that is, I 2>I 1,I 3.

[0115] According to the evaluation result I, the path planning structure selects the optimal path O through the formula O = E(I). Assume that the optimal path finally selected is O = L2, which consists of a series of nodes, such as O = {(10, 20, 30), (15, 25, 35), (20, 30, 40)}.

[0116] The tracking and adjustment component receives the optimal path O provided by the path planning structure, and calculates the initial pointing angle Θ0 of the antenna by the formula Θ0=A(O). Assume that the initial angle is Θ0=(45°, 60°).

[0117] During the movement, according to the user's position change ΔP, the tracking adjustment component uses the formula θ1=B(θ0,ΔP) to update the antenna pointing angle to θ1. Assume that the new position of the user after movement is ΔP=(5,5,5), and the adjusted angle is θ1=(50°,65°).

[0118] The signal strength S is continuously monitored. When the signal strength drops below the preset standard T, the fine-tuning process is initiated, and the formula S'=C(S,T) is used to evaluate whether fine-tuning is needed. Assume that the signal strength S drops below the preset threshold, the fine-tuning process is triggered.

[0119] If it is determined that fine-tuning is required, the fine-tuning increment δ is calculated, and the formula δ=D(S',O) is used to restore the signal strength to the ideal state. Assume that the fine-tuning increment is δ=(2°,3°), so that the signal strength is restored to the ideal level.

[0120] The above embodiments show how the present invention can achieve the goal of dynamically tracking mobile users and maintaining stable high-speed data connections in a rapidly changing environment by integrating multiple components to work together. Specifically, the path planning structure receives user location information, builds an environmental model, generates candidate paths, evaluates path quality, and selects the optimal path to ensure the efficiency and stability of signal transmission; while the tracking and adjustment component instantly corrects the antenna pointing angle according to the optimal path to ensure that the antenna is always aligned with the node on the optimal path, and at the same time fine-tunes by monitoring the signal strength to further optimize the signal transmission quality.

[0121] Exemplarily, the tracking and adjusting component operates a pair of millimeter wave transmitting and receiving arrays, the millimeter wave transmitting and receiving arrays are used to optimize for high frequency band communication, and the millimeter wave transmitting and receiving arrays are connected to a feedback monitoring link to continuously evaluate the current connection quality and report to the main control unit;

[0122] Furthermore, the millimeter wave transmitting and receiving array performs the following operation process:

[0123] The pointing angle Θ provided by the tracking and adjustment component is received, and the pointing angle Θ is used to guide the direction adjustment of the array: Θ = {θ1, θ2, ..., θn}; these data guide the direction adjustment of the array. The millimeter wave transmitting and receiving array receives the pointing angle Θ provided by the tracking and adjustment component to ensure that the antenna system can adjust the direction according to the optimal path.

[0124] According to the pointing angle Θ, the phase difference Φ of each unit in the millimeter wave transmitting and receiving array is set, and the formula Φ=F(Θ) is used, where F represents the process of converting the angle information into the corresponding phase difference, ensuring that the phase difference Φ corresponds to the angle Θ; this formula ensures that the phase difference Φ corresponds to the angle Θ accurately, thereby improving the signal transmission efficiency. According to the pointing angle Θ, the phase difference Φ of each unit in the millimeter wave transmitting and receiving array is set to ensure that the signal has the best radiation characteristics when transmitted in the high frequency band.

[0125] After setting the phase difference Φ, the radiation pattern G of the array is calculated, and the formula G = H (Φ), H represents the process of generating the radiation pattern according to the phase difference; this formula ensures that the radiation pattern G accurately reflects the performance of the array in the current configuration, and enhances the adaptability of the system. After setting the phase difference Φ, the radiation pattern G of the array is calculated to evaluate the signal propagation characteristics in the current configuration.

[0126] Using the radiation pattern G, the data transmission rate R is evaluated and adjusted, and the formula R = I (G) is used, where I represents the process of determining the optimal transmission rate based on the radiation pattern; this formula ensures that the transmission rate R adapts to the current radiation characteristics and improves the quality and stability of data transmission. Using the radiation pattern G, the data transmission rate R is evaluated and adjusted to ensure the most efficient data transmission under different environmental conditions.

[0127] Monitor the connection quality Q and dynamically adjust the phase difference Φ based on the connection quality Q, using the formula Φ'=J(Q,Φ), where J represents the process of adjusting the phase difference based on the connection quality feedback. This formula ensures that the new phase difference Φ' can effectively respond to changes in connection quality and enhances the system's adaptive capabilities. Monitor the connection quality Q and dynamically adjust the phase difference Φ' based on the connection quality feedback to ensure that the antenna system is always aligned with the node on the best path and maintain a stable connection.

[0128] Furthermore, the feedback monitoring link performs the following operations:

[0129] The real-time signal strength S provided by the millimeter wave transmitting and receiving array is received. The real-time signal strength S consists of the data at the time point τ: S(τ) = {s1, s2, ..., sn}; these data reflect the real-time status of the connection. The feedback monitoring link receives the real-time signal strength S provided by the millimeter wave transmitting and receiving array to ensure that the system can understand the current connection status in real time.

[0130] Based on the received signal strength S(τ), the connection quality indicator Q is calculated using the formula Q=A(S(τ)), where A represents the process of converting signal strength into a quality indicator; this formula ensures that the connection quality indicator Q accurately reflects the current connection performance and is directly dependent on the real-time signal strength S. This formula ensures that the connection quality indicator Q accurately reflects the current connection performance and is directly dependent on the real-time signal strength S.

[0131] Using the connection quality index Q, a performance evaluation report R is generated. The formula R = B (Q), where B represents the process of generating an evaluation report based on the quality index, ensures that the report R fully reflects the connection performance. This formula ensures that the evaluation report R records the various indicators of the connection performance in detail, providing a basis for optimization. Using the connection quality index Q, a performance evaluation report R is generated to fully reflect the connection performance of the system.

[0132] The performance evaluation report R is passed to the main control unit. At the same time, based on the information in the report R, it is determined whether the parameter U needs to be adjusted. The formula U=C(R) is used. C represents the process of formulating an adjustment plan based on the evaluation report to ensure that the adjustment parameter U optimizes the connection performance. This formula ensures that the adjustment parameter U can optimize the connection performance and directly depends on the evaluation report R. Based on the information in the evaluation report R, it is determined whether the parameter U needs to be adjusted and a specific optimization plan is formulated.

[0133] If it is determined that adjustment is required, the specific adjustment value V is calculated using the formula V = D(U), where D represents the process of calculating the specific value based on the adjustment parameter. This formula ensures that the specific adjustment value V can effectively improve the connection quality and enhance the response speed and accuracy of the system. If it is determined that adjustment is required, the specific adjustment value V is calculated and optimization measures are implemented to improve the overall performance of the system.

[0134] Example

[0135] Assume that in an urban environment, there is a mobile user who needs to maintain a stable high-speed data connection. The specific implementation steps are as follows:

[0136] The tracking adjustment component calculates the initial pointing angle Θ of the antenna according to the optimal path O, assuming that the initial angle is Θ=(45°, 60°).

[0137] The millimeter wave transmitting and receiving array receives the pointing angle Θ provided by the tracking and adjusting component, and sets the phase difference Φ of each unit in the array by the formula Φ=F(Θ). Assume that the phase difference Φ=(30°, 45°).

[0138] After setting the phase difference Φ, the millimeter wave transmitting and receiving array uses the formula G=H(Φ) to calculate the radiation pattern G of the array. It is assumed that the radiation pattern G reflects the best signal propagation characteristics under the current configuration.

[0139] Using the radiation pattern G, the millimeter wave transmitting and receiving array evaluates and adjusts the data transmission rate R through the formula R=I(G). Assume that the evaluation result shows that the current optimal transmission rate is R=1 Gbps.

[0140] The feedback monitoring link continuously monitors the connection quality Q and dynamically adjusts the phase difference Φ' according to the connection quality Q. Assuming that the connection quality is detected to be degraded, the phase difference adjustment is triggered, and the new phase difference is Φ' = (32°, 47°).

[0141] The feedback monitoring link receives the real-time signal strength S provided by the millimeter wave transmitting and receiving array. Assume that at a certain time t1, the signal strength is S(τ)={90dBm, 88dBm, 92dBm}.

[0142] Based on the received signal strength S(τ), the feedback monitoring link calculates the connection quality index Q through the formula Q=A(S(τ)). Assume that the calculation result is Q=0.95 (close to the ideal state).

[0143] Using the connection quality indicator Q, the feedback monitoring link generates a performance evaluation report R through the formula R = B (Q). Assume that the evaluation report shows that the current connection performance is good and no adjustment is required.

[0144] The performance evaluation report R is transmitted to the main control unit, and based on the information in the report R, it is determined whether the parameter U needs to be adjusted. Assume that the evaluation result shows that the current configuration is optimized and no further adjustment is required.

[0145] If it is determined that adjustment is required, the specific adjustment value V is calculated using the formula V = D(U). Assuming that optimization measures such as increasing the transmit power or changing the frequency are required, the specific adjustment value is V = 2dBm.

[0146] The above embodiments demonstrate how the present invention can achieve the goal of dynamically tracking mobile users and maintaining stable high-speed data connections in a rapidly changing environment by integrating multiple components to work together. Specifically, the millimeter wave transmitting and receiving array receives pointing angle information, sets phase difference, calculates radiation pattern, evaluates and adjusts data transmission rate, and dynamically adjusts phase difference to ensure high efficiency and stability of signal transmission.

[0147] Exemplarily, the feedback monitoring link is also coupled to an adaptive gain control interface, which is used to fine-tune signal strength to cope with signal attenuation under different environmental conditions. The adaptive gain control interface is associated with an energy management platform, which allocates power resources.

[0148] Furthermore, the adaptive gain control interface performs the following operation flow:

[0149] The connection quality indicator Q provided by the feedback monitoring link is received. The connection quality indicator Q is composed of data at time point τ: Q(τ) = {q1, q2, ..., qn}; these data reflect the real-time status of the connection. The adaptive gain control interface receives the connection quality indicator Q provided by the feedback monitoring link to ensure that the system can understand the current connection status in real time.

[0150] Based on the connection quality indicator Q(τ), the signal attenuation degree D under the current environmental conditions is evaluated using the formula D=A'(Q(τ)), where A' represents the process of converting the quality indicator into the attenuation degree; this formula ensures accurate evaluation of the signal attenuation degree and directly depends on the connection quality indicator Q. Based on the received connection quality indicator Q(τ), the adaptive gain control interface evaluates the signal attenuation degree D under the current environmental conditions, providing a basis for subsequent adjustments.

[0151] The initial gain adjustment amount G0 is determined by using the evaluated signal attenuation degree D, and the formula G0=B (, B represents the process of calculating the initial gain adjustment amount according to the attenuation degree); this formula ensures that the initial gain adjustment amount G0 can preliminarily compensate for the signal attenuation, thereby improving the response speed of the system.

[0152] The actual signal strength S' after adjustment is continuously monitored. When it is detected that the strength S' does not reach the preset standard T, the fine-tuning process is started, using the formula S" = C(S', T), where C represents the process of evaluating whether adjustment is needed, S' is the signal strength after adjustment, and S" is the signal strength after further adjustment. This formula ensures that the system can respond to changes in signal strength in a timely manner and maintain a stable connection.

[0153] If it is determined that adjustment is required, the additional gain adjustment ΔG is calculated using the formula ΔG=K(S”, G0), where K represents the process of calculating the additional adjustment based on the current signal strength and the initial gain adjustment. This formula ensures that the additional adjustment ΔG can effectively improve the signal strength and enhance the system's adaptive capability. If it is determined that further adjustment is required, the additional gain adjustment ΔG is calculated to restore the signal strength to an ideal state, further optimizing the signal transmission quality.

[0154] Furthermore, the energy management platform performs the following operations:

[0155] The additional gain adjustment ΔG provided by the receiving adaptive gain control interface is used to compensate for the signal attenuation under different environmental conditions: ΔG = {g1, g2, ..., gn}; these data reflect the increased power consumption due to the signal adjustment.

[0156] According to the additional gain adjustment ΔG, the system power demand E is evaluated using the formula E=A(ΔG), where A represents the process of converting the gain adjustment into power demand, ensuring that the power demand E accurately reflects the increased power consumption due to the signal adjustment and is directly dependent on the additional gain adjustment ΔG. This formula ensures that the power demand E accurately reflects the increased power consumption due to the signal adjustment and is directly dependent on the additional gain adjustment ΔG.

[0157] Using the estimated power demand E, the energy management platform formulates a power distribution plan to ensure efficient operation of the system and extend the working time of the equipment.

[0158] Example

[0159] Assume that in an urban environment, there is a mobile user who needs to maintain a stable high-speed data connection. The specific implementation steps are as follows:

[0160] The feedback monitoring link continuously monitors the connection quality and provides a connection quality indicator Q. Assume that at a certain time t1, the connection quality indicator is Q(τ) = {0.95, 0.92, 0.98}.

[0161] The adaptive gain control interface receives the connection quality indicator Q(τ) provided by the feedback monitoring link, and evaluates the signal attenuation degree D under the current environmental conditions through the formula D=A'(Q(τ)). Assume that the evaluation result shows that the signal attenuation degree is D=0.05dB (slight attenuation).

[0162] Using the estimated signal attenuation level D, the adaptive gain control interface determines the initial gain adjustment amount G0 through the formula G0=B(D). Assume that the initial gain adjustment amount is G0=2dBm, which is used to preliminarily compensate for signal attenuation.

[0163] After adjustment, the adaptive gain control interface continuously monitors the actual signal strength S', assuming that the adjusted signal strength is S' = 90dBm. When it is detected that the signal strength S' does not reach the preset standard T (for example, 95dBm), the fine-tuning process is started, and the formula S" = C (S', T) is used to evaluate whether further adjustment is needed. Assuming that the evaluation result shows that further adjustment is needed, the fine-tuning process is triggered.

[0164] If it is determined that adjustment is required, the adaptive gain control interface calculates the additional gain adjustment amount ΔG through the formula ΔG=K(S",G0). Assuming the calculation result is ΔG=3dBm, it is used to further compensate for signal attenuation and restore the signal strength to the ideal state S"=95dBm.

[0165] The energy management platform receives the additional gain adjustment ΔG provided by the adaptive gain control interface, and evaluates the system power demand E through the formula E=A(ΔG). Assume that the evaluation result shows that the additional gain adjustment ΔG=3dBm results in an increase in power demand E=5W.

[0166] Using the estimated power demand E, the energy management platform formulates a power distribution plan through the formula P = H (E). Assume that the formulated power distribution plan is P = {increase the transmission power by 3dBm, allocate additional power by 5W}, which ensures the efficient operation of the system and extends the working time of the equipment.

[0167] The above embodiments show how the present invention can achieve the goal of dynamically tracking mobile users and maintaining stable high-speed data connections in a rapidly changing environment by integrating multiple components to work together. Specifically, the adaptive gain control interface receives the connection quality indicator, evaluates the degree of signal attenuation, determines the initial gain adjustment, continuously monitors the adjusted signal strength, and calculates the additional gain adjustment to ensure that the signal strength is always maintained at an ideal level; while the energy management platform receives the additional gain adjustment, evaluates the system power demand, and formulates a power distribution plan to ensure efficient operation of the system and extend the working time of the equipment.

[0168] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A millimeter-wave-based high-speed data transmission antenna system, characterized in that: include: A main control unit for processing and coordinating the interactions between all internal components, the main control unit is connected to the environmental perception module to continuously monitor changes in the surrounding physical space and collect relevant information; The output end of the environment perception module is connected to a dynamic positioning component, and the dynamic positioning component determines the real-time location of the mobile user based on the received information; The dynamic positioning component is connected to the path planning structure, which is responsible for calculating the optimal signal path to ensure connection stability. The path planning structure is followed by a tracking adjustment component, which instantly corrects the antenna pointing angle according to the calculated optimal path; The tracking and adjustment component operates a pair of millimeter wave transmitting and receiving arrays, which are optimized for high-frequency band communications, and the millimeter wave transmitting and receiving arrays are connected to a feedback monitoring link to continuously evaluate the current connection quality and report to the main control unit; The feedback monitoring link is also coupled to an adaptive gain control interface, which is used to fine-tune signal strength to cope with signal attenuation under different environmental conditions. The adaptive gain control interface is associated with an energy management platform, which allocates power resources.

2. The millimeter wave-based high-speed data transmission antenna system according to claim 1, characterized in that: The main control unit performs the following operations: Receive the spatial variation information stream X provided by the environment perception module, where the spatial variation information stream X is represented as a series of numerical sequences, each of which corresponds to a measurement result at a time point τ: X(τ) = {x1, x2, ..., xn}; Using the received information stream X(τ), the user location coordinate Y is calculated and obtained by the formula Y=T(X(τ)), where T represents the conversion process and the location coordinate Y used directly depends on the previously collected spatial change information X; Based on the determined position coordinates Y, an optimal signal path Z is generated. The path consists of a series of nodes, and the expression is Z = G (Y), where G is the process of constructing the path based on the coordinates; Under the action of the tracking adjustment component, the antenna pointing angle Θ is adjusted according to the path Z generated above, so that Θ=H(Z), where H represents the angle adjustment rule, to ensure that the antenna is always aimed at the node on the optimal path.

3. The millimeter wave-based high-speed data transmission antenna system according to claim 2, characterized in that: The environment perception module performs the following operations: Analyze the captured information flow X(τ) and extract the feature set V, which is realized through the transformation process V = T'(X(τ)). T' ensures that the original data is transformed into a feature set with representational significance. The feature set V is directly derived from the information flow X; The potential interference factor W is evaluated using the feature set V. The calculation formula is W = E(V), where E represents the evaluation process. Generate optimization recommendations U based on the evaluation results W, according to the rule U = R (W), where R represents the process of formulating optimization strategies.

4. The millimeter wave-based high-speed data transmission antenna system according to claim 3, characterized in that: The dynamic positioning component performs the following operations: By analyzing the information flow X(τ), the position coordinates P of the mobile user are calculated using the formula P=F(X(τ)), where F represents the conversion process from the captured spatial change information to the position coordinates. The position coordinates P directly depend on the input information flow X; Based on the location coordinates P, predict the new location Q that the user may reach at the next moment, using the formula Q = G(P), where G represents the process of predicting the future location based on the current location; Using the predicted new position Q, an adjustment parameter S is determined to guide subsequent actions of the antenna system. According to the formula S=H(Q), H represents the process of formulating an adjustment strategy based on the predicted position.

5. The millimeter wave-based high-speed data transmission antenna system according to claim 4, characterized in that: The path planning structure performs the following operations: Receive the user location coordinates P provided by the dynamic positioning component, which are composed of data at the time point τ: P(τ) = {p1, p2, ..., pn}; According to the position coordinates P(τ), the environment model M is constructed using the formula M = B(P(τ)), where B represents the process of converting the position information into an environment representation; Based on the environment model M, the signal path candidate set L is calculated by the formula L = C(M), where C represents the process of generating potential paths from the environment model; Evaluate the quality index I of each path in the candidate set L, using the formula I = D(L), where D represents the process of quantifying the path quality; The optimal path O is selected according to the formula O=E(I), where E represents the process of selecting the best path based on quality indicators, ensuring that the final selected path O provides the most stable connection. This selection is strictly based on the quality evaluation I in the previous step.

6. The millimeter wave-based high-speed data transmission antenna system according to claim 5, characterized in that: The tracking and adjustment component performs the following operations: Receive an optimal path O provided by the path planning structure, where the optimal path O consists of a series of nodes: O = {o1, o2, ..., on}; According to the optimal path O, the initial pointing angle Θ0 of the antenna is calculated using the formula Θ0 = A(O), where A represents the process of converting the path information into the initial angle, ensuring that the angle Θ0 corresponds to the starting point in the path O; During the movement, the antenna pointing angle is updated to θ1 according to the user's position change ΔP, using the formula θ1 = B(θ0, ΔP), where B represents the process of adjusting the angle according to the position change, ensuring that the new angle θ1 reflects the user's latest position; Continuously monitor the signal strength S. When the signal strength drops by more than the preset standard T, start the fine-tuning process, using the formula S'=C(S,T), where C represents the process of evaluating whether fine-tuning is needed; If it is determined that fine-tuning is required, the fine-tuning increment δ is calculated using the formula δ=D(S',O), where D represents the process of adjusting the increment based on the current signal strength and the optimal path, ensuring that the fine-tuning increment δ restores the signal strength to an ideal state.

7. The millimeter wave-based high-speed data transmission antenna system according to claim 6, characterized in that: The millimeter wave transmitting and receiving array performs the following operations: Receiving a pointing angle θ provided by a tracking and adjustment component, the pointing angle θ is used to guide the direction adjustment of the array: θ = {θ1, θ2, ..., θn}; According to the pointing angle Θ, the phase difference Φ of each unit in the millimeter wave transmitting and receiving array is set, and the formula Φ=F(Θ) is used, where F represents the process of converting the angle information into the corresponding phase difference, ensuring that the phase difference Φ corresponds to the angle Θ; After setting the phase difference Φ, the radiation pattern G of the array is calculated, through the formula G = H (Φ), where H represents the process of generating the radiation pattern according to the phase difference; Using the radiation pattern G, the data transmission rate R is evaluated and adjusted, using the formula R = I (G), where I represents the process of determining the optimal transmission rate based on the radiation pattern; Monitor the connection quality Q and dynamically adjust the phase difference Φ according to the connection quality Q, using the formula Φ'=J(Q,Φ), where J represents the process of adjusting the phase difference according to the connection quality feedback.

8. The millimeter wave-based high-speed data transmission antenna system according to claim 7, characterized in that: The feedback monitoring link performs the following operations: Receive the real-time signal strength S provided by the millimeter wave transmitting and receiving array, where the real-time signal strength S is composed of data at time point τ: S(τ) = {s1, s2, ..., sn}; Based on the received signal strength S(τ), the connection quality indicator Q is calculated using the formula Q=A(S(τ)), where A represents the process of converting signal strength into a quality indicator; Using the connection quality index Q, a performance evaluation report R is generated. The formula R = B(Q), where B represents the process of generating an evaluation report based on the quality index, ensures that the report R fully reflects the connection performance. The performance evaluation report R is transmitted to the main control unit, and at the same time, based on the information in the report R, it is determined whether the parameter U needs to be adjusted, using the formula U = C (R), where C represents the process of formulating an adjustment plan based on the evaluation report to ensure that the adjustment parameter U optimizes the connection performance; If it is determined that adjustment is required, a specific adjustment value V is calculated using the formula V=D(U), where D represents the process of calculating a specific value based on the adjustment parameter.

9. The millimeter wave-based high-speed data transmission antenna system according to claim 8, characterized in that: The adaptive gain control interface performs the following operations: Receive the connection quality indicator Q provided by the feedback monitoring link, where the connection quality indicator Q is composed of data at time point τ: Q(τ) = {q1, q2, ..., qn}; Based on the connection quality index Q(τ), the signal attenuation degree D under the current environmental conditions is evaluated using the formula D=A'(Q(τ)), where A' represents the process of converting the quality index into the attenuation degree; The initial gain adjustment amount G0 is determined by using the estimated signal attenuation degree D, and the formula G0=B(, where B represents the process of calculating the initial gain adjustment amount according to the attenuation degree; The actual signal strength S' after adjustment is continuously monitored. When it is detected that the strength S' does not reach the preset standard T, the fine-tuning process is started, and the formula S" = C(S', T) is used, where C represents the process of evaluating whether adjustment is needed, S' is the signal strength after adjustment, and S" is the signal strength after further adjustment. If it is determined that adjustment is required, an additional gain adjustment amount ΔG is calculated using the formula ΔG=K(S", G0), where K represents the process of calculating the additional adjustment amount based on the current signal strength and the initial gain adjustment amount.

10. The millimeter wave-based high-speed data transmission antenna system according to claim 9, characterized in that: The energy management platform performs the following operations: An additional gain adjustment amount ΔG provided by the receiving adaptive gain control interface is used to compensate for signal attenuation under different environmental conditions: ΔG = {g1, g2, ..., gn}; According to the additional gain adjustment ΔG, the system power demand E is evaluated, and the formula E=A(ΔG) is used, where A represents the process of converting the gain adjustment into the power demand, ensuring that the power demand E accurately reflects the increased power consumption due to the signal adjustment and directly depends on the additional gain adjustment ΔG; Using the estimated electricity demand E, an electricity distribution plan is developed.

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