Active power distribution network HPLC and HRF dual-mode model unloading method, system, device and medium

Abstract

The application discloses an active power distribution network HPLC and HRF dual-mode model unloading method, system, device and medium, comprising: constructing an active power distribution Internet of Things HPLC and HRF uplink transmission signal model, and acquiring signals received by a MEC server; based on the signals received by the MEC server, acquiring a safe unloading rate and a safe unloading information age; based on the safe unloading rate, acquiring a MEC server processing unloading data calculation delay; constructing an active power distribution Internet of Things HPLC and HRF downlink dual-mode communication model, and acquiring signals received by equipment; based on the signals received by the equipment, acquiring the safe transmission rate and the safe information age of uplink data and downlink data; and finally acquiring the transmission optimal solution of the uplink and downlink HPLC and HRF dual-mode communication of the system. Through the cooperation of the HPLC and the HRF dual mode, the physical layer safe transmission unloading can effectively balance the information security and timeliness.

Description

Technical Field

[0001] This invention belongs to the field of active power distribution Internet of Things, and relates to a method, system, device and medium for unloading an active power distribution network dual-mode model using HPLC and HRF. Background Technology

[0002] With the continuous development of communication technology, the active power distribution Internet of Things (IoT), with its advantages of extensive information collection, intelligent decision-making, and precise control, will become the main form of operation and maintenance of future active power distribution networks. Among these, communication issues are crucial for the extensive information collection, intelligent decision-making, and precise control of active power distribution networks. Due to the wide coverage and complex communication conditions of active power distribution networks, relying solely on High-speed Power Line Communication (HPLC) cannot achieve reliable and efficient communication. High-speed low-power wireless communication (HRF) is simple to deploy, but its reliable communication is susceptible to electromagnetic interference from electrical equipment. Therefore, dual-mode communication combining HPLC and HRF becomes an effective solution for communication in active power distribution networks. However, in the active power distribution IoT, not only is information transmission necessary, but information offloading is also required. However, in traditional information offloading processes, many communication schemes focus on offloading efficiency without addressing information security. Yet, secure information offloading directly relates to the operation, maintenance, and safe operation of active power distribution networks.

[0003] In traditional power Internet of Things (IoT) systems, security offloading is addressed solely through application-layer encryption and decryption, or by employing blockchain technology to resolve information security issues. While physical layer security technologies in HRF can improve offloading security without increasing computational overhead, they cannot be directly applied to the dual-mode communication offloading scheme of HPLC and HRF.

[0004] To address the offloading issue in dual-mode communication using HPLC and HRF, a physical layer-secure transmission offloading method is achieved through the combined use of HPLC and HRF, thereby effectively improving the information security performance of computational offloading in active power distribution IoT. However, existing research and methods only focus on the system's secure offloading rate, neglecting the timeliness of information. A secure offloading method that balances both information security and timeliness urgently needs to be developed. Summary of the Invention

[0005] The purpose of this invention is to address the problem that existing technologies using HPLC and HRF dual-mode for physical layer secure transmission and offloading only focus on the system's secure offloading rate and do not pay much attention to the timeliness of information. The invention provides a method, system, device, and medium for unloading data using a dual-mode HPLC and HRF model in active power distribution networks.

[0006] To achieve the above objectives, the present invention employs the following technical solution:

[0007] The unloading method for the HPLC and HRF dual-mode model of active power distribution networks includes:

[0008] Construct an uplink transmission signal model for active power distribution IoT using HPLC and HRF, and acquire the signals received by the MEC server;

[0009] Based on the signals received by the MEC server, the safe unloading rate and the age of safe unloading information are obtained.

[0010] Based on the safe unloading rate, calculate the latency of the MEC server processing unloading data.

[0011] Construct a dual-mode communication model for active power distribution IoT using HPLC and HRF downlink, and acquire the signals received by the devices;

[0012] Based on the signals received by the device, obtain the secure transmission rate and security information age of uplink and downlink data;

[0013] Based on the MEC server, the calculation of unloading data latency, safe unloading information age, safe transmission rate and safe information age of uplink and downlink data are determined; the optimization objective is identified, and the optimal solution for transmission of uplink and downlink HPLC and HRF dual-mode communication in the system is obtained;

[0014] The optimal solution for transmission of the system's uplink HPLC and HRF dual-mode communication was obtained, specifically: the weighted safety timeliness coefficient is:

[0015]

[0016] The beamforming matrix is ​​obtained by measuring the transmit power of uplink HPLC and HRF, and the optimal solution is then derived. and Perform a convex approximation transformation to transform it into a representation of , , and The convex function, and the constraint terms Also perform convex optimization transformation;

[0017] Based on the convex function approximation, the Lagrange fastest optimization algorithm is used to obtain the optimal solution, where... , , and These are the Lagrange multipliers corresponding to the constraint terms; through the analysis of... , , , , , , and Find the corresponding extreme points by taking the partial derivative. , , , ;in , for The conjugate transpose of . To perform the matrix inversion operation, The normalization parameter is as follows:

[0018]

[0019] in, Represents the square of the second moment of a matrix; , ; , ;

[0020] based on , , , ,calculate and ; to conduct on it regarding The derivative operation ultimately yields... optimal value ;

[0021] based on To obtain the optimal ;

[0022] The optimal transmission solution for the system's downlink HPLC and HRF dual-mode communication was obtained, specifically as follows:

[0023] The beamforming matrix is ​​obtained by measuring the transmit power of downlink HPLC and HRF, and the optimal solution is obtained. First, the beamforming matrix is ​​obtained by measuring the transmit power of downlink HPLC and HRF. and Perform a convex approximation transformation to transform it into a representation of , , and The convex function, and the constraint terms and Also perform convex optimization transformation;

[0024] Based on the convex function approximation, the Lagrange's fastest optimization algorithm is used to find the optimal solution; through the analysis of... , , , Find the corresponding extreme points by taking the partial derivative. , , , ;

[0025] , for The conjugate transpose of . To perform the matrix inversion operation, For normalization parameters, i.e.

[0026]

[0027] in, Represents the square of the second moment of a matrix; , ; , ;

[0028] based on , , , ,calculate and ; to conduct on it regarding The derivative operation ultimately yields... optimal value ;

[0029] in, For the total downlink secure transmission rate, For the total safe unloading rate, To handle the computational latency of unloading data for the MEC server, The information age unloaded by HPLC, Information age for HRF offloading The total downlink information age AoI, The MEC server uses HRF to communicate with the device. Beamforming matrix, To achieve this through HPLC, the equipment... Beamforming matrix, It is done through HPLC, equipment The transmission power, The device is connected via HRF. The transmission power, The MEC server uses HRF to communicate with the device. The extreme points of the beamforming matrix, To achieve this through HPLC, the equipment... Extreme points of the beamforming matrix Using HPLC, the equipment The extreme point of the transmission power, To use HRF, the device The extreme point of the transmission power, For the threshold time, For equipment Signal-to-noise ratio by offloading data using HRF method The characteristic function representing the information age. For equipment Signal-to-noise ratio of data unloaded by HPLC The characteristic function representing the information age. The first method is through HPLC The time it takes for each data status to arrive at the MEC server. The first method is through HRF The time it takes for each data status to arrive at the MEC server. for, Assign MEC server to device The server's main frequency, The amount of data processed per unit clock frequency of an MEC server; For equipment HRF channel to MEC server; For equipment HPLC transmission channel to the MEC server; To allow eavesdroppers to access the device via HRF. The channel; To allow the eavesdropper to access the device via HPLC The channel;

[0030] For equipment The received signal is safely offloaded at the HRF physical layer rate. For equipment The received signal is safely unloaded via the physical layer of the HPLC system. The MEC server transmits data to the device via HPLC. Beamforming matrix, The MEC server transmits data to the device via HPLC. The transmission power; The MEC server communicates with the device via HRF. The transmission power, The MEC server transmits data to the device via HPLC. The extreme points of the beamforming matrix, The MEC server transmits data to the device via HPLC. The extreme point of the transmission power; The MEC server communicates with the device via HRF. The extreme point of the transmission power; MEC server to device HRF channel; MEC server to device HPLC transmission channel; To pass HRF, the device The channel to the eavesdropper; To achieve HPLC, the equipment The channel to the eavesdropper; MEC is delivered to the equipment via HPLC. The signal-to-interference-plus-noise ratio of the calculated results. The MEC server is the first to use HPLC method The time when each data status arrives. For equipment Signal-to-interference-plus-noise ratio (SIR) of data offloaded by HRF method The MEC server uses HRF to... The time when each data status arrives.

[0031] The active power distribution IoT HPLC and HRF uplink transmission signal model includes Each device has one MEC server; each device offloads data to the MEC server via both HPLC and HRF methods, and the MEC server receives the offloaded data via both HPLC and HRF communication methods.

[0032] Preferably, the step of acquiring the signal received by the MEC server specifically includes:

[0033] equipment and equipment The signal unloaded by HPLC is

[0034]

[0035] equipment and equipment The signal that is offloaded via HRF is

[0036]

[0037] in, This represents the signal received by the MEC server after unloading via HPLC. This represents the signal received by the MEC server after offloading via HRF. For equipment HPLC transfer channel to MEC server For equipment Information unloaded to the MEC server via HPLC; It is equipment HPLC transmission channel to MEC server For equipment Information unloaded to the MEC server via HPLC; For equipment HRF channel to MEC server For equipment Information offloaded to the MEC server via HRF; It is equipment HRF transmission channel to MEC server For equipment Information offloaded to the MEC server via HRF; It is noise in the HPLC transmission channel. It is noise in the HRF channel; The value range is 1, 2…M; The value range of is 1, 2…M; and ;

[0038] To eliminate interference from multiple devices, the equipment and equipment The transmitted signals undergo beamforming design during HPLC and HRF transmission; equipment and equipment The signal transmitted via HPLC is

[0039]

[0040] equipment and equipment The signal sent via HRF is

[0041]

[0042] in It is done through HPLC, equipment Beamforming matrix, It is done through HPLC, equipment The transmission power; It is done through HPLC, equipment The transmission power, To achieve this through HPLC, the equipment... The beamforming matrix; The device is connected via HRF. Beamforming matrix, The device is connected via HRF. The transmission power; To use HRF, the device The transmission power; To use HRF, the device The beamforming matrix.

[0043] Preferably, the acquisition of the safe offloading rate and the age of safe offloading information based on the signals received by the MEC server specifically involves:

[0044] Based on the signals received by the MEC server, the physical layer secure offloading rate of the signals received by the MEC server through HRF is obtained.

[0045]

[0046] in, To allow eavesdroppers to access the device via HRF. The channel; For physical layer safe offloading rate via HRF;

[0047] The physical layer safe unloading rate of the signal received by the MEC server via HPLC is [value missing].

[0048]

[0049] in, To allow the eavesdropper to access the equipment via HPLC The channel; The physical layer safe unloading rate via HPLC;

[0050] The information age calculated by HPLC unloading is:

[0051]

[0052] in For the threshold time, Indicates time, For equipment Signal-to-noise ratio of data unloaded by HPLC Information age unloaded by HPLC; This represents a characteristic function in the information age obtained using HPLC.

[0053] The age of the information unloaded via HRF is

[0054]

[0055] in For the threshold time, For equipment Signal-to-noise ratio by offloading data using HRF method The age of information unloaded via HRF; This represents the characteristic function in the information age under the HRF method.

[0056] Preferably, the step of obtaining the calculation latency for the MEC server to process unloading data based on the safe unloading rate is specifically as follows:

[0057] The safe offloading rate of total data transmitted by the MEC server is obtained based on the physical layer safe offloading rate of the signal through HRF and the physical layer safe offloading rate through HPLC.

[0058] Obtain the amount of computational data generated by the MEC server per unit time;

[0059] Based on the amount of computational data per unit time of the MEC server and the safe offloading rate of the total data transmitted by the MEC server, the computational latency of the MEC server in processing offloaded data is obtained.

[0060] The specific details of obtaining the secure offloading rate of the total data transmitted by the MEC server are as follows:

[0061]

[0062] To ensure safe offloading rate via the physical layer of HRF, The physical layer safe unloading rate via HPLC; The total safe unloading rate;

[0063] The amount of computational data obtained from the MEC server per unit time specifically refers to:

[0064]

[0065] in, Assign MEC server to device Server clock speed The amount of data processed per unit clock frequency of an MEC server;

[0066] The calculation latency for obtaining MEC server data unloading is specifically as follows:

[0067] .

[0068] Preferably, the construction of the active power distribution IoT HPLC and HRF downlink dual-mode communication model involves acquiring the signal received by the device based on the constructed active power distribution IoT HPLC and HRF downlink dual-mode communication model; specifically:

[0069] Acquire equipment and equipment The signal received by HPLC is

[0070]

[0071] Acquire equipment and equipment The signal received via HRF is

[0072]

[0073] in, Represented as device and equipment Signals received via HPLC transmission; Represented as device and equipment Signals received via HRF transmission; MEC server to device HPLC transmission channel, For MEC servers, HPLC is used to supply power to the devices. The calculation results; It is a MEC server to device HPLC transmission channel, For MEC servers, HPLC is used to supply power to the devices. The transmitted calculation results; MEC server to device HRF channel, For MEC servers to communicate with devices via HRF The calculation results are transmitted; It is a MEC server to device HRF transmission channel, For MEC servers to communicate with devices via HRF The calculation results are transmitted; It is noise in the downlink channel of HPLC transmission. It is noise in the HRF downlink channel;

[0074] To eliminate interference from multiple devices, the MEC server incorporated beamforming during both HPLC and HRF transmission processes. The signals received from the HPLC were respectively...

[0075]

[0076] The signals it received via HRF were respectively

[0077]

[0078] in The MEC server transmits data to the device via HPLC. Beamforming matrix, The MEC server transmits data to the device via HPLC. The transmission power; The MEC server transmits data to the device via HPLC. The transmission power, The MEC server transmits data to the device via HPLC. The beamforming matrix; The MEC server uses HRF to communicate with the device. Beamforming matrix, The MEC server communicates with the device via HRF. Transmission power; The MEC server communicates with the device via HRF. The transmission power; The MEC server communicates with the device via HRF. The beamforming matrix.

[0079] Preferably, the step of obtaining the secure transmission rate and security information age of uplink and downlink data based on the signals received by the device specifically involves:

[0080] Based on device Received signal, acquisition device The received signal is safely offloaded through the physical layer of the HRF at a rate of [missing information].

[0081]

[0082] in To pass HRF, the device The channel to the eavesdropper; For equipment The received signal is safely offloaded at the physical layer rate of the HRF;

[0083] Based on device Received signal, acquisition device The received signal has a physical layer safe unloading rate of [value missing] via HPLC.

[0084]

[0085] in To achieve HPLC, the equipment The channel to the eavesdropper; For equipment The received signal is safely unloaded via the physical layer of the HPLC.

[0086] The age was obtained from the HPLC calculation results.

[0087]

[0088] in, For the threshold time, MEC is delivered to the equipment via HPLC. The signal-to-interference-plus-noise ratio of the calculated results. The information age is calculated using HPLC results; This represents a characteristic function in the information age obtained using HPLC.

[0089] The age of the information unloaded via HRF is

[0090]

[0091] in For the threshold time, For equipment Signal-to-interference-plus-noise ratio (SIR) of data offloaded by HRF method The information age is calculated using HRF; This represents the feature function in the age information obtained through HRF (Hypertext Representation Function).

[0092] The total downlink secure transmission rate is Overall downward information age .

[0093] An active power distribution network HPLC and HRF dual-mode model unloading system includes:

[0094] The first construction module constructs an active power distribution IoT HPLC and HRF uplink transmission signal model and acquires the signals received by the MEC server.

[0095] The first acquisition module acquires the safe unloading rate and the safe unloading information age based on the signals received by the MEC server.

[0096] The second acquisition module acquires the calculation latency of the MEC server processing unloading data based on the safe unloading rate.

[0097] The second construction module constructs an active power distribution IoT HPLC and HRF downlink dual-mode communication model and acquires the signals received by the device.

[0098] The third acquisition module acquires the secure transmission rate and security information age of uplink and downlink data based on the signals received by the device.

[0099] The optimization module determines the optimization target based on the MEC server's processing delay for unloading data, the age of safe unloading information, the safe transmission rate of uplink and downlink data, and the age of safe information, and obtains the optimal solution for transmission of uplink and downlink HPLC and HRF dual-mode communication in the system.

[0100] A terminal device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described above.

[0101] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method.

[0102] Compared with the prior art, the present invention has the following beneficial effects:

[0103] This invention utilizes a dual-mode beamforming and power allocation method combining HPLC and HRF to maximize secure transmission rates under conditions of limited uplink and downlink information age. The limitations are approximated through convex optimization and employ an alternating iterative algorithm to obtain the uplink offloading beamforming matrix and power allocation scheme, while also providing the optimal uplink time threshold. Furthermore, the optimal computational delay, as well as the downlink beamforming matrix and power allocation scheme, are obtained. This invention, through the combined use of HPLC and HRF dual-mode methods, achieves secure physical layer transmission offloading, effectively balancing information security and timeliness. Attached Figure Description

[0104] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0105] Figure 1 This is a schematic flowchart of the active power distribution network HPLC and HRF dual-mode model unloading method of the present invention;

[0106] Figure 2 This is a schematic diagram of the structure of the active power distribution network HPLC and HRF dual-mode unloading system of the present invention. Detailed Implementation

[0107] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0108] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0109] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0110] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0111] Furthermore, the use of the term "horizontal" does not imply that the component must be absolutely horizontal, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0112] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0113] The present invention will now be described in further detail with reference to the accompanying drawings:

[0114] See Figure 1 This invention discloses a method for unloading an active power distribution network using a dual-mode HPLC and HRF model, comprising:

[0115] S101, construct the uplink transmission signal model of active power distribution IoT HPLC and HRF, and obtain the signal received by the MEC server.

[0116] Active power distribution IoT HPLC and HRF uplink transmission signal model, including Each device has one MEC server; each device offloads data to the MEC server via both HPLC and HRF methods, and the MEC server receives the offloaded data via both HPLC and HRF communication methods.

[0117] Specifically, the signals received by the MEC server are obtained as follows:

[0118] equipment and equipment The signal unloaded by HPLC is

[0119]

[0120] equipment and equipment The signal that is offloaded via HRF is

[0121]

[0122] in, This represents the signal received by the MEC server after unloading via HPLC. This represents the signal received by the MEC server after offloading via HRF. For equipment HPLC transmission channel to MEC server For equipment Information unloaded to the MEC server via HPLC; It is equipment HPLC transmission channel to MEC server For equipment Information unloaded to the MEC server via HPLC; For equipment HRF channel to MEC server For equipment Information offloaded to the MEC server via HRF; It is equipment HRF transmission channel to MEC server For equipment Information offloaded to the MEC server via HRF; It is noise in the HPLC transmission channel. It is noise in the HRF channel; The value range is 1, 2…M; The value range of is 1, 2…M; and .

[0123] To eliminate interference from multiple devices, the equipment and equipment The transmitted signals undergo beamforming design during HPLC and HRF transmission; equipment and equipment The signal transmitted via HPLC is

[0124]

[0125] equipment and equipment The signal sent via HRF is

[0126]

[0127] in It is done through HPLC, equipment Beamforming matrix, It is done through HPLC, equipment The transmission power; It is done through HPLC, equipment The transmission power, To achieve this through HPLC, the equipment... The beamforming matrix; The device is connected via HRF. Beamforming matrix, The device is connected via HRF. The transmission power; To use HRF, the device The transmission power; To use HRF, the device The beamforming matrix.

[0128] S102, based on the signals received by the MEC server, obtains the safe unloading rate and the age of safe unloading information.

[0129] Based on the signals received by the MEC server, the physical layer secure offloading rate of the signals received by the MEC server through HRF is obtained.

[0130]

[0131] in, To allow eavesdroppers to access the device via HRF. The channel; For physical layer safe offloading rate via HRF;

[0132] The physical layer safe unloading rate of the signal received by the MEC server via HPLC is [value missing].

[0133]

[0134] in, To allow the eavesdropper to access the device via HPLC The channel; The physical layer safe unloading rate via HPLC;

[0135] The information age calculated by HPLC unloading is:

[0136]

[0137] in For the threshold time, For equipment Signal-to-noise ratio of data unloaded by HPLC The characteristic function representing the information age in HPLC is expressed as follows:

[0138]

[0139] The first method is through HPLC The time it takes for each data status to arrive at the MEC server. The first method is through HPLC The time a data state resides on the MEC server. To obtain the expected value; To describe random variables in the form of moment generating functions The probability distribution;

[0140] The age of the information unloaded via HRF is

[0141]

[0142] in For the threshold time, For equipment Signal-to-noise ratio by offloading data using HRF method The age of information unloaded via HRF; The characteristic function in the information age under the HRF method is expressed as follows:

[0143]

[0144] The first method is through HRF The time it takes for each data status to arrive at the MEC server. The first method is through HRF The time a data state resides on the MEC server. To obtain the expected operation, To describe random variables in the form of moment generating functions The probability distribution.

[0145] S103, based on the safe unloading rate, obtains the latency of the MEC server processing unloading data.

[0146] The safe offloading rate of total data transmitted by the MEC server is obtained based on the physical layer safe offloading rate of the signal through HRF and the physical layer safe offloading rate through HPLC.

[0147] Obtain the amount of computational data generated by the MEC server per unit time;

[0148] Based on the amount of computational data per unit time of the MEC server and the safe offloading rate of the total data transmitted by the MEC server, the computational latency of the MEC server in processing offloaded data is obtained.

[0149] The specific details of obtaining the secure offloading rate of the total data transmitted by the MEC server are as follows:

[0150]

[0151] To ensure safe offloading rate via the physical layer of HRF, The physical layer safe unloading rate via HPLC; The total safe unloading rate;

[0152] The amount of computational data obtained from the MEC server per unit time specifically refers to:

[0153]

[0154] in, Assign MEC server to device The server's main frequency, The amount of data processed per unit clock frequency of an MEC server;

[0155] The calculation latency for obtaining MEC server data unloading is specifically as follows:

[0156] .

[0157] S104, construct an active power distribution IoT HPLC and HRF downlink dual-mode communication model, and acquire the signals received by the device.

[0158] Acquire equipment and equipment The signal received by HPLC is

[0159]

[0160] Acquire equipment and equipment The signal received via HRF is

[0161]

[0162] in, Represented as device and equipment Signals received via HPLC transmission; Represented as device and equipment Signals received via HRF transmission; MEC server to device HPLC transmission channel, For MEC servers, HPLC is used to supply power to the devices. The calculation results; It is a MEC server to device HPLC transmission channel, For MEC servers, HPLC is used to supply power to the devices. The calculation results are transmitted; MEC server to device HRF channel, For MEC servers to communicate with devices via HRF The calculation results are transmitted; It is a MEC server to device HRF transmission channel, For MEC servers to communicate with devices via HRF The calculation results are transmitted; It is noise in the downlink channel of HPLC transmission. It is noise in the HRF downlink channel;

[0163] To eliminate interference from multiple devices, the MEC server incorporated beamforming during both HPLC and HRF transmission processes. The signals received from the HPLC were respectively...

[0164]

[0165] The signals it received via HRF were respectively

[0166]

[0167] in The MEC server transmits data to the device via HPLC. Beamforming matrix, The MEC server transmits data to the device via HPLC. The transmission power; The MEC server transmits data to the device via HPLC. The transmission power, The MEC server transmits data to the device via HPLC. The beamforming matrix; The MEC server uses HRF to connect the device. Beamforming matrix, The MEC server communicates with the device via HRF. Transmission power; The MEC server communicates with the device via HRF. The transmission power; The MEC server communicates with the device via HRF. The beamforming matrix.

[0168] S105, based on the signals received by the device, obtains the secure transmission rate and security information age of uplink and downlink data.

[0169] Based on device Received signal, acquisition device The received signal is safely offloaded through the physical layer of the HRF at a rate of [missing information].

[0170]

[0171] in To pass HRF, the device The channel to the eavesdropper;

[0172] Based on device Received signal, acquisition device The received signal has a physical layer safe unloading rate of [value missing] via HPLC.

[0173]

[0174] in To achieve HPLC, the equipment The channel to the eavesdropper;

[0175] The age was obtained from the HPLC calculation results.

[0176]

[0177] in, For the threshold time, MEC is delivered to the equipment via HPLC. The signal-to-interference-plus-noise ratio of the calculated results. The characteristic function representing the information age in HPLC is expressed as follows:

[0178]

[0179] The MEC server is the first to use HPLC method The time when each data status arrives. The MEC server is the first to use HPLC method The dwell time of each data state To obtain the expected value;

[0180] The age of the information unloaded via HRF is

[0181]

[0182] in For the threshold time, For equipment Signal-to-interference-plus-noise ratio (SIR) of data offloaded by HRF method The characteristic function representing age information in the HRF method is expressed as follows:

[0183]

[0184] The MEC server uses HRF to... The time when each data status arrives. The MEC server uses HRF to... The dwell time of each data state To obtain the expected value;

[0185] The total downlink secure transmission rate is The total downlink information age (AoI), i.e. .

[0186] S106, based on the MEC server processing unloading data calculation latency, safe unloading information age, safe transmission rate and safe information age of uplink and downlink data, determines the optimization target and obtains the optimal solution for transmission of uplink and downlink HPLC and HRF dual-mode communication in the system.

[0187] The weighted security timeliness coefficient is:

[0188]

[0189] The beamforming matrix is ​​obtained by measuring the transmit power of uplink HPLC and HRF, and the optimal solution is then derived. and Perform a convex approximation transformation to transform it into a representation of , , and The convex function, and the constraint terms Also perform convex optimization transformation;

[0190] Based on the convex function approximation, the Lagrange fastest optimization algorithm is used to obtain the optimal solution, where... , , and These are the Lagrange multipliers corresponding to the constraint terms; through the analysis of... , , , , , , and Finding the partial derivative yields the corresponding extreme points. , , , .in , for The conjugate transpose of . To perform the matrix inversion operation, For normalization parameters,

[0191]

[0192] in, Represents the square of the second moment of a matrix; , ; , ;

[0193] based on , , , ,calculate and ; to conduct on it regarding The derivative operation ultimately yields... optimal value ;

[0194] based on To obtain the optimal ;

[0195] The optimal transmission solution for the downlink HPLC and HRF dual-mode communication of the acquisition system is specifically as follows:

[0196] The beamforming matrix is ​​obtained by measuring the transmit power of downlink HPLC and HRF, and the optimal solution is obtained. First, the beamforming matrix is ​​obtained by measuring the transmit power of downlink HPLC and HRF. and Perform a convex approximation transformation to transform it into a representation of , , and The convex function, and the constraint terms , and It also performs convex optimization transformation.

[0197] Based on the convex function approximation, the optimal solution is found using the Lagrange steepest optimization algorithm; through the analysis of... , , , Finding the partial derivative yields the corresponding extreme points. , , , .

[0198] in , for The conjugate transpose of . To perform the matrix inversion operation, For normalization parameters, i.e.

[0199]

[0200] in, Represents the square of the second moment of a matrix; , ; , .

[0201] based on , , , ,calculate and ; to conduct on it regarding The derivative operation ultimately yields... optimal value .

[0202] See Figure 2 This invention discloses an active power distribution network HPLC and HRF dual-mode model unloading system, comprising:

[0203] The first construction module constructs an active power distribution IoT HPLC and HRF uplink transmission signal model and acquires the signals received by the MEC server.

[0204] The first acquisition module acquires the safe unloading rate and the safe unloading information age based on the signals received by the MEC server.

[0205] The second acquisition module acquires the calculation latency of the MEC server in processing unloading data based on the safe unloading rate.

[0206] The second construction module constructs an active power distribution IoT HPLC and HRF downlink dual-mode communication model and acquires the signals received by the device.

[0207] The third acquisition module acquires the secure transmission rate and security information age of uplink and downlink data based on the signals received by the device.

[0208] The optimization module determines the optimization target based on the MEC server's processing delay for unloading data, the age of safe unloading information, the safe transmission rate of uplink and downlink data, and the age of safe information, and obtains the optimal solution for transmission of uplink and downlink HPLC and HRF dual-mode communication in the system.

[0209] An embodiment of the present invention provides a terminal device. This terminal device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the various method embodiments described above. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the various device embodiments described above.

[0210] The computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention.

[0211] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0212] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0213] The memory can be used to store the computer program and / or module. The processor implements various functions of the terminal device by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory.

[0214] If the modules / units integrated into the terminal device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0215] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0216] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An unloading method for an active power distribution network using a dual-mode HPLC and HRF model, characterized in that, include: Construct an uplink transmission signal model for active power distribution IoT using HPLC and HRF, and acquire the signals received by the MEC server; Based on the signals received by the MEC server, the safe unloading rate and the age of safe unloading information are obtained. Based on the safe unloading rate, calculate the latency of the MEC server processing unloading data. Construct a dual-mode communication model for active power distribution IoT using HPLC and HRF downlink, and acquire the signals received by the devices; Based on the signals received by the device, obtain the secure transmission rate and security information age of uplink and downlink data; Based on the MEC server, the calculation of unloading data latency, safe unloading information age, safe transmission rate and safe information age of uplink and downlink data are determined; the optimization objective is identified, and the optimal solution for transmission of uplink and downlink HPLC and HRF dual-mode communication in the system is obtained; The optimal solution for transmission of the system's uplink HPLC and HRF dual-mode communication was obtained, specifically: the weighted safety timeliness coefficient is: The beamforming matrix is ​​obtained by measuring the transmit power of uplink HPLC and HRF, and the optimal solution is then derived. and Perform a convex approximation transformation to transform it into a representation of , , and The convex function, and the constraint terms Also perform convex optimization transformation; Based on the convex function approximation, the Lagrange fastest optimization algorithm is used to obtain the optimal solution, where... , , and These are the Lagrange multipliers corresponding to the constraint terms; through the analysis of... , , , , , , and Find the corresponding extreme points by taking the partial derivative. , , , ;in , for The conjugate transpose of . To perform the matrix inversion operation, The normalization parameter is as follows: in, Represents the square of the second moment of a matrix; , ; , ; based on , , , ,calculate and ; to conduct on it regarding The derivative operation ultimately yields... optimal value ; based on To obtain the optimal ; The optimal transmission solution for the system's downlink HPLC and HRF dual-mode communication was obtained, specifically as follows: The beamforming matrix is ​​obtained by measuring the transmit power of downlink HPLC and HRF, and the optimal solution is obtained. First, the beamforming matrix is ​​obtained by measuring the transmit power of downlink HPLC and HRF. and Perform a convex approximation transformation to transform it into a representation of , , and The convex function, and the constraint terms and Also perform convex optimization transformation; Based on the convex function approximation, the Lagrange's fastest optimization algorithm is used to find the optimal solution; through the analysis of... , , , Find the corresponding extreme points by taking the partial derivative. , , , ; , for The conjugate transpose of . To perform the matrix inversion operation, For normalization parameters, i.e. in, Represents the square of the second moment of a matrix; , ; , ; based on , , , ,calculate and ; to conduct on it regarding The derivative operation ultimately yields... optimal value ; in, For the total downlink secure transmission rate, For the total safe unloading rate, To handle the computational latency of unloading data for the MEC server, The information age unloaded by HPLC, Information age for HRF offloading The total downlink information age AoI, The MEC server uses HRF to connect the device. Beamforming matrix, To achieve this through HPLC, the equipment... Beamforming matrix, It is done through HPLC, equipment The transmission power, The device is connected via HRF. The transmission power, The MEC server uses HRF to connect the device. The extreme points of the beamforming matrix, To achieve this through HPLC, the equipment... Extreme points of the beamforming matrix Using HPLC, the equipment The extreme point of the transmission power, To use HRF, the device The extreme point of the transmission power, For the threshold time, For equipment Signal-to-noise ratio by offloading data using HRF method The characteristic function representing the information age. For equipment Signal-to-noise ratio of data unloaded by HPLC This represents a characteristic function in the information age. The first method is through HPLC The time it takes for each data status to arrive at the MEC server. The first method is through HRF The time it takes for each data status to arrive at the MEC server. for, Assign MEC server to device The server's main frequency, The amount of data processed per unit clock frequency of an MEC server; For equipment HRF channel to MEC server; For equipment HPLC transmission channel to the MEC server; To allow eavesdroppers to access the device via HRF. The channel; To allow the eavesdropper to access the equipment via HPLC The channel; For equipment The received signal is safely offloaded at the HRF physical layer rate. For equipment The received signal is safely unloaded via the physical layer of the HPLC system. The MEC server transmits data to the device via HPLC. Beamforming matrix, The MEC server transmits data to the device via HPLC. The transmission power; The MEC server communicates with the device via HRF. The transmission power, The MEC server transmits data to the device via HPLC. The extreme points of the beamforming matrix, The MEC server transmits data to the device via HPLC. The extreme point of the transmission power; The MEC server communicates with the device via HRF. The extreme point of the transmission power; MEC server to device HRF channel; MEC server to device HPLC transmission channel; To pass HRF, the device The channel to the eavesdropper; To achieve HPLC, the equipment The channel to the eavesdropper; MEC is delivered to the equipment via HPLC. The signal-to-interference-plus-noise ratio of the calculated results. The MEC server is the first to use HPLC method The time when each data status arrives. For equipment Signal-to-interference-plus-noise ratio (SIR) of data offloaded by HRF method The MEC server uses HRF to... The time when each data status arrives.

2. The active power distribution network HPLC and HRF dual-mode unloading method according to claim 1, characterized in that, The active power distribution IoT HPLC and HRF uplink transmission signal model includes Each device has one MEC server; each device offloads data to the MEC server via both HPLC and HRF methods, and the MEC server receives the offloaded data via both HPLC and HRF communication methods.

3. The active power distribution network HPLC and HRF dual-mode unloading method according to claim 2, characterized in that, The acquisition of the signals received by the MEC server specifically includes: equipment and equipment The signal unloaded by HPLC is equipment and equipment The signal that is offloaded via HRF is in, This represents the signal received by the MEC server after unloading via HPLC. This represents the signal received by the MEC server after offloading via HRF. For equipment HPLC transmission channel to MEC server For equipment Information unloaded to the MEC server via HPLC; It is equipment HPLC transmission channel to MEC server For equipment Information unloaded to the MEC server via HPLC; For equipment HRF channel to MEC server For equipment Information offloaded to the MEC server via HRF; It is equipment HRF transmission channel to MEC server For equipment Information offloaded to the MEC server via HRF; It is noise in the HPLC transmission channel. It is noise in the HRF channel; The value range is 1, 2…M; The value range of is 1, 2…M; and ; To eliminate interference from multiple devices, the equipment and equipment The transmitted signals undergo beamforming design during HPLC and HRF transmission; equipment and equipment The signal transmitted via HPLC is equipment and equipment The signal sent via HRF is in It is done through HPLC, equipment Beamforming matrix, It is done through HPLC, equipment The transmission power; It is done through HPLC, equipment The transmission power, To achieve this through HPLC, the equipment... The beamforming matrix; The device is connected via HRF. Beamforming matrix, The device is connected via HRF. The transmission power; To use HRF, the device The transmission power; To use HRF, the device The beamforming matrix.

4. The active power distribution network HPLC and HRF dual-mode unloading method according to claim 3, characterized in that, The acquisition of the safe unloading rate and safe unloading information age based on the signals received by the MEC server is specifically as follows: Based on the signals received by the MEC server, the physical layer secure offloading rate of the signals received by the MEC server through HRF is obtained. in, To allow eavesdroppers to access the device via HRF. The channel; For physical layer safe offloading rate via HRF; The physical layer safe unloading rate of the signal received by the MEC server via HPLC is [value missing]. in, To allow the eavesdropper to access the equipment via HPLC The channel; The physical layer safe unloading rate via HPLC; The information age calculated by HPLC unloading is: in For the threshold time, Indicates time, For equipment Signal-to-noise ratio of data unloaded by HPLC Information age unloaded by HPLC; This represents a characteristic function in the information age obtained using HPLC. The age of the information unloaded via HRF is in For the threshold time, For equipment Signal-to-noise ratio by offloading data using HRF method The age of information unloaded via HRF; This represents the characteristic function in the information age under the HRF method.

5. The active power distribution network HPLC and HRF dual-mode unloading method according to claim 4, characterized in that, The calculation latency for obtaining the MEC server's processing of unloading data is based on the safe unloading rate; specifically: The safe offloading rate of total data transmitted by the MEC server is obtained based on the physical layer safe offloading rate of the signal through HRF and the physical layer safe offloading rate through HPLC. Obtain the amount of computational data generated by the MEC server per unit time; Based on the amount of computational data per unit time of the MEC server and the safe offloading rate of the total data transmitted by the MEC server, the computational latency of the MEC server in processing offloaded data is obtained. The specific details of obtaining the secure offloading rate of the total data transmitted by the MEC server are as follows: To ensure safe offloading rate via the physical layer of HRF, The physical layer safe unloading rate via HPLC; The total safe unloading rate; The amount of computational data obtained from the MEC server per unit time specifically refers to: in, Assign MEC server to device Server clock speed The amount of data processed per unit clock frequency of an MEC server; The calculation latency for obtaining MEC server data unloading is specifically as follows: 。 6. The active power distribution network HPLC and HRF dual-mode unloading method according to claim 5, characterized in that, The construction of the active power distribution IoT HPLC and HRF downlink dual-mode communication model involves acquiring the signals received by the device based on the constructed active power distribution IoT HPLC and HRF downlink dual-mode communication model; specifically: Acquire equipment and equipment The signal received by HPLC is Acquire equipment and equipment The signal received via HRF is in, Represented as device and equipment Signals received via HPLC transmission; Represented as device and equipment Signals received via HRF transmission; MEC server to device HPLC transmission channel, For MEC servers, HPLC is used to supply power to the equipment. The calculation results; It is a MEC server to device HPLC transmission channel, For MEC servers, HPLC is used to supply power to the equipment. The transmitted calculation results; MEC server to device HRF channel, For MEC servers to communicate with devices via HRF The transmitted calculation results; It is a MEC server to device HRF transmission channel, For MEC servers to communicate with devices via HRF The transmitted calculation results; It is noise in the downlink channel of HPLC transmission. It is noise in the HRF downlink channel; To eliminate interference from multiple devices, the MEC server incorporated beamforming during both HPLC and HRF transmission processes. The signals received from the HPLC were respectively... The signals it received via HRF were respectively in The MEC server transmits data to the device via HPLC. Beamforming matrix, The MEC server transmits data to the device via HPLC. The transmission power; The MEC server transmits data to the device via HPLC. The transmission power, The MEC server transmits data to the device via HPLC. The beamforming matrix; The MEC server uses HRF to connect the device. Beamforming matrix, The MEC server communicates with the device via HRF. Transmission power; The MEC server communicates with the device via HRF. The transmission power; The MEC server communicates with the device via HRF. The beamforming matrix.

7. The active power distribution network HPLC and HRF dual-mode model unloading method according to claim 6, characterized in that, The method of obtaining the secure transmission rate and security information age of uplink and downlink data based on the signals received by the device specifically includes: Based on device Received signal, acquisition device The received signal is safely offloaded through the physical layer of the HRF at a rate of [missing information]. in To pass HRF, the device The channel to the eavesdropper; For equipment The received signal is safely offloaded at the physical layer rate of the HRF; Based on device Received signal, acquisition device The received signal has a physical layer safe unloading rate of [value missing] via HPLC. in To achieve HPLC, the equipment The channel to the eavesdropper; For equipment The received signal is safely unloaded via the physical layer of the HPLC. The age was obtained from the HPLC calculation results. in, For the threshold time, MEC is delivered to the equipment via HPLC. The signal-to-interference-plus-noise ratio of the calculated results. The information age is calculated using HPLC results; This represents a characteristic function in the information age obtained using HPLC. The age of the information unloaded via HRF is in For the threshold time, For equipment Signal-to-interference-plus-noise ratio (SIR) of data offloaded by HRF method The information age is calculated using HRF; This represents the feature function in the age information obtained through HRF (Hypertext Representation Function). The total downlink secure transmission rate is Overall downward information age .

8. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-7.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1-7.

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