Wireless communication private network and management system thereof

Abstract

The invention discloses a wireless communication private network, which comprises one or more core network devices, a wireless communication device and a wireless communication device, wherein the one or more core network devices are used for dynamically adjusting bandwidth allocation, selecting channels and planning routes; modularized base stations: each base station is configured with a plurality of wireless communication modules and supports multi-system and multi-band operation; the microwave transceiver adjusts the beam direction of the antenna and the gain of an amplifier in the microwave transceiver; a wireless private network terminal module is arranged in each service terminal; wherein a wireless link is established between the core network equipment and the modular base station through the microwave transceiving equipment, data transmission is carried out by utilizing a microwave frequency band, and high-bandwidth and low-delay communication under line-of-sight propagation is provided; and the base station uses the configured wireless communication module to communicate with the wireless private network terminal module on the service terminal through the electromagnetic wave signal. According to the invention, high-bandwidth, low-delay and high-security communication service is realized, and the method is particularly suitable for scenes with extremely high requirements on network performance and data security.

Description

Technical Field

[0001] The present invention relates to the field of wireless communications, and more particularly to a wireless communications private network and a management system thereof. Background Art

[0002] With the rapid development of information technology, wireless communication technology is increasingly used in all walks of life, especially in the fields of smart cities, Industry 4.0, emergency communications and military communications. These fields have extremely high performance requirements for wireless communication networks, requiring not only high bandwidth, low latency and stable transmission capabilities, but also the need to cope with complex and changing communication environments to ensure the security and reliability of data transmission.

[0003] Currently, wireless communication networks are facing many challenges while providing basic communication services:

[0004] Existing wireless communication networks often use static or semi-static methods for resource allocation, which makes it difficult to dynamically adjust bandwidth and channel resources according to real-time network status and user behavior, resulting in low network resource utilization and easy congestion.

[0005] At the same time, the traditional base station design is relatively fixed and difficult to adapt to the changes in multi-band and multi-standard communication needs. When it is necessary to support new frequency bands or standards, it is often necessary to replace or upgrade the entire base station equipment, which increases operating costs and complexity.

[0006] In addition, current wireless communication networks mainly use traditional encryption technology to ensure data transmission security, and these encryption methods are at risk of being cracked. Once the encryption key is cracked, sensitive information will be at risk of being leaked. It is also difficult to achieve cross-domain connection and information sharing, which limits the effective use of resources and collaborative combat capabilities, and cannot meet the needs of complex and changing communication environments.

[0007] Therefore, how to design a wireless communication private network to meet the growing communication needs of high performance, high security, and flexible expansion is an urgent problem that technical personnel in this field need to solve. Summary of the invention

[0008] In view of this, the present invention provides a wireless communication private network, which significantly improves communication performance, security and flexibility through intelligent resource optimization, flexible support for multiple standards and multiple frequency bands, quantum encryption security protection and cross-domain collaboration capabilities.

[0009] In order to achieve the above object, the present invention adopts the following technical solution:

[0010] In a first aspect, the present invention provides a wireless communication private network, comprising:

[0011] One or more core network devices: monitor and analyze network traffic, user behavior, device status, and environmental data in real time, predict network congestion trends, and dynamically adjust bandwidth allocation, channel selection, and route planning;

[0012] Modular base station: Each base station is equipped with multiple wireless communication modules to support multiple standards and multi-band operations;

[0013] Microwave transceiver equipment: including a beam direction adjustment module and a gain control module, which respectively adjust the beam direction of the antenna and the gain of the amplifier in the microwave transceiver equipment;

[0014] One or more service terminals: Each service terminal has a built-in wireless private network terminal module;

[0015] Among them, the core network equipment and modular base stations establish wireless links through microwave transceiver equipment, use microwave frequency bands for data transmission, and provide high-bandwidth and low-latency communication under line-of-sight propagation; the base station uses the configured wireless communication module to communicate with the wireless private network terminal module on the service terminal through electromagnetic wave signals.

[0016] Preferably, a quantum secure communication sub-link is established in the wireless link, and a specific frequency band or time gap in the microwave frequency band is used to transmit quantum keys for encrypting or verifying data transmitted through the wireless link.

[0017] Preferably, the core network device includes:

[0018] Data collection module: used to collect real-time data from network traffic, user behavior, device status and environmental data;

[0019] Prediction and analysis module: used to analyze the data collected by the data collection unit, generate network status and network topology information, and predict network congestion trends;

[0020] Bandwidth allocation module: used to dynamically adjust the allocation of network bandwidth according to the prediction results in the prediction analysis module;

[0021] Channel selection module: used to select the optimal channel for data transmission based on the network status information and prediction results in the prediction analysis module;

[0022] Routing planning module: used to plan the optimal routing path based on the network topology information and prediction results in the prediction analysis module;

[0023] Decision-making and execution module: used to make decisions and perform corresponding operations according to the optimization strategies of the bandwidth allocation unit, channel selection unit and routing planning unit.

[0024] Preferably, in the prediction and analysis module, predicting the network congestion trend includes:

[0025] Calculate the moving average flow rate MA(t):

[0026]

[0027] Where W is the window size of the moving average; T(t-i+1) is the network traffic data at time (t-i+1); i is an index variable, which is used to traverse all values ​​from 1 to W during the summation process;

[0028] Calculate the flow growth rate GR(t):

[0029]

[0030] Predicting future traffic:

[0031] PT(t+P)=MA(t)×(1+GR(t)) P

[0032] Determine whether congestion may occur:

[0033]

[0034] Among them, C(t) is the congestion prediction result in the future time window P at time t, and Th is the traffic threshold that triggers congestion.

[0035] Preferably, in the channel selection module, selecting the optimal channel for data transmission includes:

[0036] Based on the network congestion trend and network status information, available channels are evaluated; the evaluation includes: bandwidth calculation, delay calculation and interference level calculation;

[0037] Based on the evaluation result, an optimal channel is selected for data transmission; the optimal channel includes: a minimum delay channel, a maximum bandwidth channel and a minimum interference channel.

[0038] Preferably, in the routing planning module, planning the optimal routing path includes:

[0039] Based on the network congestion trend and network topology information, available routing paths are evaluated; the evaluation includes: bandwidth calculation, delay calculation and congestion degree calculation;

[0040] Based on the evaluation result, an optimal routing path is selected for data transmission; the optimal routing path includes: a minimum delay path, a maximum bandwidth path, and a minimum congestion path.

[0041] Preferably, the core network device further includes a cross-domain collaboration module;

[0042] The cross-domain collaboration module is used to support cross-domain connection and information sharing with multiple independently operated wireless private network systems, and combined with a unified resource management platform to achieve global resource view and intelligent scheduling.

[0043] Preferably, in the beam direction adjustment module, adjusting the beam direction of the antenna includes:

[0044] For the i-th signal source, its direction is θ i , construct the array response vector Where d is the distance between adjacent sensors in the array, N is the number of sensors in the array, and j is the imaginary unit;

[0045] Based on the array response vector a(θ i ), calculate the covariance matrix of signal and noise R = E[XX H ]; where E[·] is the statistical expectation; X is the received signal vector, s i is the signal strength of the i-th signal source, K is the number of signal sources, and n is the noise vector; X H is the conjugate transpose of X;

[0046] Perform eigenvalue decomposition on the covariance matrix R to obtain eigenvectors V1, V2, ... V N and the corresponding eigenvalues ​​λ1,λ2,...λ N ;

[0047] Select NK eigenvectors with the smallest eigenvalues ​​to form the noise subspace V n ;

[0048] For all possible angles θ, calculate the spatial spectrum function Where |·| is the magnitude of the vector;

[0049] The angle corresponding to the maximum value of the traversal spatial spectrum function p(θ) The signal arrival direction is used as an estimate, and the antenna beam direction is adjusted based on the signal arrival direction.

[0050] Preferably, in the gain control module, adjusting the gain of an amplifier in the microwave transceiver device includes:

[0051] Set the reference level V ref , combined with the actual level V out , calculate the error signal E = V ref -V out ;

[0052] The amplifier gain G is adjusted according to the error signal until the error signal E meets a preset condition; wherein G=G+kE, k is a proportionality coefficient.

[0053] In the second aspect, the present invention provides a management system, which is applied to the above-mentioned wireless communication private network, and is used to comprehensively monitor and manage core network equipment, modular base stations, service terminals and wireless links, display network topology, equipment status and performance indicator information through a visual interface, and perform fault warning and fault location.

[0054] It can be seen from the above technical solution that compared with the prior art, the technical solution of the present invention has the following advantages:

[0055] Beneficial effects:

[0056] 1. The wireless communication private network realizes dynamic bandwidth allocation, channel selection and route planning through the real-time monitoring and analysis function of the core network equipment, which greatly improves the utilization efficiency of network resources, reduces the risk of network congestion, and also reduces the delay of data transmission, thereby improving the overall performance and service quality of the network.

[0057] 2. By establishing a quantum secure communication sub-link in the wireless link and using quantum key distribution technology to ensure the security of data transmission, it provides unparalleled security protection for critical communications, which is especially suitable for fields with extremely high data security requirements.

[0058] 3. The modular base station design supports multiple standards and frequency band operations, which means that the network can be quickly adjusted and expanded according to different application scenarios and needs. At the same time, the cross-domain collaboration module enables information sharing and resource collaboration between networks of different operators, further enhancing the flexibility and scalability of the network.

[0059] 4. The beam direction adjustment module of the microwave transceiver can accurately adjust the beam direction according to the location of the signal source, improving the signal quality and anti-interference ability. The gain control module can automatically adjust the gain of the amplifier according to the actual signal strength, ensuring a stable and reliable communication link, especially in a complex environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0061] Figure 1 A structural framework diagram of a wireless communication private network provided by an embodiment of the present invention;

[0062] Figure 2A core network device structure framework diagram provided for an embodiment of the present invention;

[0063] Figure 3 This is a structural framework diagram of the management system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the 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, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] Embodiment 1:

[0066] like Figure 1 As shown, this embodiment provides a wireless communication private network, including:

[0067] One or more core network devices: monitor and analyze network traffic, user behavior, device status, and environmental data in real time, predict network congestion trends, and dynamically adjust bandwidth allocation, channel selection, and route planning;

[0068] Modular base station: Each base station is equipped with multiple wireless communication modules to support multiple standards and multi-band operations;

[0069] Microwave transceiver equipment: including a beam direction adjustment module and a gain control module, which respectively adjust the beam direction of the antenna and the gain of the amplifier in the microwave transceiver equipment;

[0070] One or more service terminals: Each service terminal has a built-in wireless private network terminal module;

[0071] Among them, the core network equipment and modular base stations establish wireless links through microwave transceiver equipment, use microwave frequency bands for data transmission, and provide high-bandwidth and low-latency communication under line-of-sight propagation; the base station uses the configured wireless communication module to communicate with the wireless private network terminal module on the service terminal through electromagnetic wave signals.

[0072] A quantum secure communication sub-link is established in the wireless link, and a specific frequency band or time gap in the microwave frequency band is used to transmit quantum keys for encrypting or verifying data transmitted through the wireless link.

[0073] This wireless communication private network achieves dynamic resource management through real-time monitoring and analysis, uses quantum secure communication sub-links to ensure the security of data transmission, and adopts modular base stations and intelligent beam management technology to improve network flexibility and signal quality. It ultimately realizes high-bandwidth, low-latency and highly secure communication services, which is particularly suitable for scenarios with extremely high requirements for network performance and data security.

[0074] The following is a further detailed description of each component of the above wireless communication private network:

[0075] In this embodiment, Figure 2 As shown, the core network equipment includes:

[0076] Data collection module: used to collect real-time data from network traffic, user behavior, device status and environmental data;

[0077] Prediction and analysis module: used to analyze the data collected by the data collection unit, generate network status and network topology information, and predict network congestion trends;

[0078] Bandwidth allocation module: used to dynamically adjust the allocation of network bandwidth according to the prediction results in the prediction analysis module;

[0079] Channel selection module: used to select the optimal channel for data transmission based on the network status information and prediction results in the prediction analysis module;

[0080] Routing planning module: used to plan the optimal routing path based on the network topology information and prediction results in the prediction analysis module;

[0081] Decision-making and execution module: used to make decisions and perform corresponding operations according to the optimization strategies of the bandwidth allocation unit, channel selection unit and routing planning unit.

[0082] Furthermore, in the prediction and analysis module, predicting the network congestion trend includes:

[0083] Calculate the moving average flow rate MA(t):

[0084]

[0085] Where W is the window size of the moving average; T(t-i+1) is the network traffic data at time (t-i+1); i is an index variable, which is used to traverse all values ​​from 1 to W during the summation process;

[0086] Calculate the flow growth rate GR(t):

[0087]

[0088] Predicting future traffic:

[0089] PT(t+P)=MA(t)×(1+GR(t)) P

[0090] Determine whether congestion may occur:

[0091]

[0092] Among them, C(t) is the congestion prediction result in the future time window P at time t, and Th is the traffic threshold that triggers congestion.

[0093] Furthermore, in the channel selection module, selecting an optimal channel for data transmission includes:

[0094] Based on the network congestion trend and network status information, available channels are evaluated; the evaluation includes: bandwidth calculation, delay calculation and interference level calculation;

[0095] Based on the evaluation result, an optimal channel is selected for data transmission; the optimal channel includes: a minimum delay channel, a maximum bandwidth channel and a minimum interference channel.

[0096] Furthermore, in the routing planning module, planning the optimal routing path includes:

[0097] Based on the network congestion trend and network topology information, available routing paths are evaluated; the evaluation includes: bandwidth calculation, delay calculation and congestion degree calculation;

[0098] Based on the evaluation result, an optimal routing path is selected for data transmission; the optimal routing path includes: a minimum delay path, a maximum bandwidth path, and a minimum congestion path.

[0099] In addition, the core network device also includes a cross-domain collaboration module;

[0100] The cross-domain collaboration module is used to support cross-domain connection and information sharing with multiple independently operated wireless private network systems, and combined with a unified resource management platform to achieve global resource view and intelligent scheduling.

[0101] Further, in the beam direction adjustment module, adjusting the beam direction of the antenna includes:

[0102] For the i-th signal source, its direction is θ i , construct the array response vector Where d is the distance between adjacent sensors in the array, N is the number of sensors in the array, and j is the imaginary unit;

[0103] Based on the array response vector a(θ i), calculate the covariance matrix of signal and noise R = E[XX H ]; where E[·] is the statistical expectation; X is the received signal vector, s i is the signal strength of the i-th signal source, K is the number of signal sources, and n is the noise vector; X H is the conjugate transpose of X;

[0104] Perform eigenvalue decomposition on the covariance matrix R to obtain eigenvectors V1, V2, ... V N and the corresponding eigenvalues ​​λ1,λ2,...λ N ;

[0105] Select NK eigenvectors with the smallest eigenvalues ​​to form the noise subspace V n ;

[0106] For all possible angles θ, calculate the spatial spectrum function Where |·| is the magnitude of the vector;

[0107] The angle corresponding to the maximum value of the traversal spatial spectrum function p(θ) The signal arrival direction is used as an estimate, and the antenna beam direction is adjusted based on the signal arrival direction.

[0108] Furthermore, in the gain control module, adjusting the gain of the amplifier in the microwave transceiver device includes:

[0109] Set the reference level V ref , combined with the actual level V out , calculate the error signal E = V ref -V out ;

[0110] The amplifier gain G is adjusted according to the error signal until the error signal E meets a preset condition; wherein G=G+kE, k is a proportionality coefficient.

[0111] This wireless communication private network realizes intelligent management and optimization of network resources by integrating modules such as data collection, prediction analysis, bandwidth allocation, channel selection, routing planning, and decision execution. Specifically, it can collect network operation data in real time and predict the network status, and dynamically adjust bandwidth allocation, select the best channel, and plan the optimal routing path, so as to effectively prevent and alleviate network congestion and improve data transmission efficiency. At the same time, the cross-domain collaboration module supports the interconnection and resource sharing of multiple systems, enhancing the overall performance and flexibility of the network. In addition, the beam direction adjustment and gain control mechanism further improve the quality and stability of wireless communications and ensure efficient transmission in complex environments. This series of measures work together to significantly improve the quality of network services and user experience.

[0112] Embodiment 2;

[0113] In this embodiment, the communication process of the wireless communication private network includes:

[0114] 1) System initialization;

[0115] Core network equipment startup: After the core network equipment is powered on, it first performs a self-check to ensure that all modules (including data collection, prediction analysis, bandwidth allocation, channel selection, routing planning, etc.) are working properly.

[0116] Modular base station deployment: According to network planning, modular base stations are deployed at designated locations, and various wireless communication modules are configured to support the required communication standards and frequency bands.

[0117] Microwave transceiver equipment configuration: Configure the beam direction adjustment module and gain control module of the microwave transceiver equipment to ensure that the antenna can accurately point to the target direction and adjust the gain according to the environment to obtain the best communication effect.

[0118] Business terminal access: After the business terminal is turned on, it automatically searches and connects to the nearest modular base station through the built-in wireless private network terminal module.

[0119] 2) Data collection and analysis;

[0120] Real-time data collection: The data collection module of the core network equipment begins to collect real-time data from network traffic, user behavior, device status and environmental data.

[0121] Data analysis and prediction: The prediction analysis module analyzes the collected data, generates network status and network topology information, and predicts network congestion trends in the future.

[0122] 3) Resource optimization and allocation;

[0123] Bandwidth allocation: Based on the results of the prediction and analysis module, the bandwidth allocation module dynamically adjusts the allocation of network bandwidth to ensure that key businesses have sufficient bandwidth resources.

[0124] Channel selection: The channel selection module selects the optimal channel for data transmission based on network status information and prediction results to reduce interference and delay.

[0125] Route planning: The route planning module plans the optimal route path based on network topology information and prediction results to ensure that data packets can be transmitted to the destination efficiently and reliably.

[0126] 4) Communication process;

[0127] Quantum secure communication sub-link establishment: In the wireless link between the core network equipment and the modular base station, the quantum key is transmitted using a specific frequency band or time gap in the microwave frequency band. Through quantum key distribution (QKD) technology, secure keys are generated and shared at both ends.

[0128] Data encryption and transmission: The generated quantum key is used to encrypt the data to be transmitted. The encrypted data is transmitted on a wireless link through a microwave transceiver.

[0129] Data reception and decryption: After receiving the encrypted data, the modular base station uses the same quantum key to decrypt and restore the original data. Then, the base station sends the decrypted data to the service terminal via electromagnetic wave signals through the configured wireless communication module.

[0130] Business terminal processing: After receiving the data, the business terminal processes it through the built-in wireless private network terminal module, such as displaying information, executing commands, etc.

[0131] It ensures the normal operation of the core network equipment and its modular base stations through system initialization, and configures microwave transceiver equipment to optimize communication effects; then, the core network equipment continues to collect and analyze data to predict network congestion trends; based on these analysis results, the system dynamically adjusts bandwidth allocation, selects optimal channels and plans routing paths to achieve optimal resource allocation; on this basis, it uses quantum key distribution technology to establish a secure communication link to ensure the security of data encryption transmission, and finally the business terminal completes data reception and processing to provide efficient and secure communication services.

[0132] Embodiment 3;

[0133] like Figure 3 As shown, this embodiment provides a management system for comprehensively monitoring and managing core network equipment, modular base stations, service terminals and wireless links, displaying network topology, equipment status and performance indicator information through a visual interface, and performing fault warning and fault location.

[0134] Specifically include:

[0135] The collection module is used to collect network traffic, user behavior, device status and environmental data in real time;

[0136] Visualization module, used to display network topology, device status and performance indicator information;

[0137] Fault warning module, used to detect potential problems in the network based on real-time data and generate warning reports;

[0138] Fault location module, used to determine the specific location of the problem and provide solutions when an anomaly is detected;

[0139] Remote configuration module, which allows remote adjustment of network device configuration to optimize performance or solve problems;

[0140] The software update module is used to provide the latest software updates to network devices to enhance security or add new functions.

[0141] The management system collects network traffic, user behavior, device status, and environmental data in real time, and displays network topology and performance indicators on a visual interface to help administrators understand network status intuitively. The system's built-in fault warning module can detect potential problems in a timely manner and generate warning reports, while the fault location module can quickly locate the source of the problem and propose solutions when an anomaly is detected. In addition, remote configuration and software update functions support the optimization and security reinforcement of network devices to ensure stable and efficient network operation.

[0142] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0143] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A wireless communication private network, characterized in that: include: One or more core network devices: monitor and analyze network traffic, user behavior, device status, and environmental data in real time, predict network congestion trends, and dynamically adjust bandwidth allocation, channel selection, and route planning; Modular base station: Each base station is equipped with multiple wireless communication modules to support multiple standards and multi-band operations; Microwave transceiver equipment: including a beam direction adjustment module and a gain control module, which respectively adjust the beam direction of the antenna and the gain of the amplifier in the microwave transceiver equipment; One or more service terminals: Each service terminal has a built-in wireless private network terminal module; Among them, the core network equipment and modular base stations establish wireless links through microwave transceiver equipment, use microwave frequency bands for data transmission, and provide high-bandwidth and low-latency communication under line-of-sight propagation; the base station uses the configured wireless communication module to communicate with the wireless private network terminal module on the service terminal through electromagnetic wave signals.

2. A wireless communication private network according to claim 1, characterized in that: A quantum secure communication sub-link is established in the wireless link, and a specific frequency band or time gap in the microwave frequency band is used to transmit quantum keys for encrypting or verifying data transmitted through the wireless link.

3. A wireless communication private network according to claim 1, characterized in that: The core network device includes: Data collection module: used to collect real-time data from network traffic, user behavior, device status and environmental data; Prediction and analysis module: used to analyze the data collected by the data collection unit, generate network status and network topology information, and predict network congestion trends; Bandwidth allocation module: used to dynamically adjust the allocation of network bandwidth according to the prediction results in the prediction analysis module; Channel selection module: used to select the optimal channel for data transmission based on the network status information and prediction results in the prediction analysis module; Routing planning module: used to plan the optimal routing path based on the network topology information and prediction results in the prediction analysis module; Decision-making and execution module: used to make decisions and perform corresponding operations according to the optimization strategies of the bandwidth allocation unit, channel selection unit and routing planning unit.

4. A wireless communication private network according to claim 3, characterized in that: In the prediction analysis module, predicting the network congestion trend includes: Calculate the moving average flow rate MA(t): Where W is the window size of the moving average; T(t-i+1) is the network traffic data at time (t-i+1); i is an index variable, which is used to traverse all values ​​from 1 to W during the summation process; Calculate the flow growth rate GR(t): Predicting future traffic: PT(t+P)=MA(t)×(1+GR(t)) P Determine whether congestion may occur: Among them, C(t) is the congestion prediction result in the future time window P at time t, and Th is the traffic threshold that triggers congestion.

5. A wireless communication private network according to claim 3, characterized in that: In the channel selection module, selecting the optimal channel for data transmission includes: Based on the network congestion trend and network status information, available channels are evaluated; the evaluation includes: bandwidth calculation, delay calculation and interference level calculation; Based on the evaluation result, an optimal channel is selected for data transmission; the optimal channel includes: a minimum delay channel, a maximum bandwidth channel and a minimum interference channel.

6. A wireless communication private network according to claim 3, characterized in that: In the routing planning module, planning the optimal routing path includes: Based on the network congestion trend and network topology information, available routing paths are evaluated; the evaluation includes: bandwidth calculation, delay calculation and congestion degree calculation; Based on the evaluation result, an optimal routing path is selected for data transmission; the optimal routing path includes: a minimum delay path, a maximum bandwidth path, and a minimum congestion path.

7. A wireless communication private network according to claim 1, characterized in that: The core network device also includes a cross-domain collaboration module; The cross-domain collaboration module is used to support cross-domain connection and information sharing with multiple independently operated wireless private network systems, and combined with a unified resource management platform to achieve global resource view and intelligent scheduling.

8. A wireless communication private network according to claim 1, characterized in that: In the beam direction adjustment module, adjusting the beam direction of the antenna includes: For the i-th signal source, its direction is θ i , construct the array response vector Where d is the distance between adjacent sensors in the array, N is the number of sensors in the array, and j is the imaginary unit; Based on the array response vector a(θ i ), calculate the covariance matrix of signal and noise R = E[XX H ]; where E[·] is the statistical expectation; X is the received signal vector, si is the signal strength of the ith signal source, K is the number of signal sources, n is the noise vector; X H is the conjugate transpose of X; Perform eigenvalue decomposition on the covariance matrix R to obtain eigenvectors V1, V2, ... V N and the corresponding eigenvalues ​​λ1, λ2, ...λ N ; Select NK eigenvectors with the smallest eigenvalues ​​to form the noise subspace V n ; For all possible angles θ, calculate the spatial spectrum function Where |·| is the magnitude of the vector; The angle corresponding to the maximum value of the traversal spatial spectrum function p(θ) The signal arrival direction is used as an estimate, and the antenna beam direction is adjusted based on the signal arrival direction.

9. A wireless communication private network according to claim 1, characterized in that: In the gain control module, adjusting the gain of the amplifier in the microwave transceiver device includes: Set the reference level V ref , combined with the actual level V out , calculate the error signal E = V ref -V out ; The amplifier gain G is adjusted according to the error signal until the error signal E meets a preset condition; wherein G=G+kE, k is a proportionality coefficient.

10. A management system, applied to the wireless communication private network as claimed in claims 1 to 9, characterized in that: It is used to comprehensively monitor and manage core network equipment, modular base stations, service terminals and wireless links, display network topology, equipment status and performance indicator information through a visual interface, and perform fault warning and fault location.

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