A method and system for information transmission based on HPLC and HRF

Abstract

The present invention provides an information transmission method and system based on HPLC and HRF, and relates to the technical field of data transmission. The method comprises: constructing a hybrid transmission network structure based on HPLC and HRF; calculating the signal-to-noise ratio and the network transmission rate when information is transmitted through the hybrid transmission network structure, and obtaining the actual distance between each of the sending nodes and each of the receiving nodes; taking the actual distance as a constraint condition and maximizing the network transmission rate as a goal, determining the optimal structural parameters through an optimization algorithm; and transmitting information through a hybrid transmission network based on HPLC and HRF according to the optimal structural parameters. The present invention can ensure the network transmission rate and improve the communication quality and stability.

Description

Technical Field

[0001] The present invention relates to the technical field of data transmission, and in particular to an information transmission method and system based on HPLC and HRF. Background Art

[0002] HPLC is a technology that uses power lines as a transmission medium for communication. It uses the wires of the power lines to transmit data signals without the need for additional communication lines. HRF refers to a communication technology that uses HRF media such as radio waves or infrared rays to transmit information.

[0003] In some environments, HPLC may be affected by interference or attenuation, while HRF technology may provide better performance in some cases. As network transmission requirements continue to change, the integration of HPLC and HRF technology can provide a more flexible and scalable communication solution. By integrating these two technologies, the best communication path can be selected in different environments, improving the reliability and stability of communication.

[0004] In current practical applications, although there are scenarios for integrating HPLC and HRF, there is often a lack of planning, and power lines and wireless routing are randomly arranged. The network topology becomes increasingly complex, increasing the risk of interference between devices. It is also easy to cause unbalanced allocation of network resources and unstable network transmission rate, affecting communication quality and stability. Summary of the invention

[0005] In order to solve the existing technical problems of integrating HPLC and HRF, which often lack planning, randomly arrange power lines and wireless routing, and make the network topology more and more complicated, increase the risk of interference between devices, and easily lead to unbalanced allocation of network resources, unstable network transmission rate, and affect communication quality and stability, the present invention provides an information transmission method and system based on HPLC and HRF.

[0006] The technical solution provided by the embodiment of the present invention is as follows:

[0007] First aspect

[0008] An information transmission method based on HPLC and HRF provided by an embodiment of the present invention comprises:

[0009] S1: Construction of hybrid transport network structure based on HPLC and HRF;

[0010] S2: Calculate the signal-to-noise ratio and the network transmission rate when information is transmitted through the hybrid transmission network structure, and obtain the actual distance between each of the sending nodes and each of the receiving nodes;

[0011] S3: Taking the actual distance as a constraint condition and maximizing the network transmission rate as a goal, determine the optimal structural parameters through an optimization algorithm;

[0012] S4: According to the optimal structural parameters, a hybrid transmission network structure of information transmission is performed through a hybrid transmission network based on HPLC and HRF.

[0013] Second aspect

[0014] An information transmission system based on HPLC and HRF provided by an embodiment of the present invention comprises:

[0015] processor;

[0016] A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the information transmission method based on HPLC and HRF as described in the first aspect is implemented.

[0017] The third aspect

[0018] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the information transmission method based on HPLC and HRF as described in the first aspect is implemented.

[0019] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0020] In the present invention, the actual distance is taken as a constraint condition, and the maximization of the network transmission rate is taken as the goal. The optimal structural parameters are determined by an optimization algorithm, and then a hybrid transmission network based on HPLC and HRF is constructed according to the optimal structural parameters. The hybrid transmission network structure can be planned according to the actual situation with the goal of maximizing the network transmission rate, reducing the risk of interference between devices, improving the balance of network resource allocation, ensuring the network transmission rate, and improving communication quality and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 A schematic flow chart of an information transmission method based on HPLC and HRF provided in an embodiment of the present invention;

[0023] Figure 2A schematic diagram of a hybrid transmission network structure provided by an embodiment of the present invention;

[0024] Figure 3 A schematic diagram of a flow chart of a method for solving structural parameters provided by an embodiment of the present invention;

[0025] Figure 4 A schematic diagram of a flow chart of an information transmission method provided by an embodiment of the present invention;

[0026] Figure 5 A schematic diagram of the structure of an information transmission system based on HPLC and HRF provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0028] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0029] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0030] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0031] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0032] Reference Manual Attached Figure 1 , showing a schematic flow chart of an information transmission method based on HPLC and HRF provided in an embodiment of the present invention.

[0033] The embodiment of the present invention provides an information transmission method based on HPLC and HRF, which can be implemented by an information transmission device based on HPLC and HRF, and the information transmission device based on HPLC and HRF can be a terminal or a server. The processing flow of the information transmission method based on HPLC and HRF can include the following steps:

[0034] S1: Construction of a hybrid transport network structure based on HPLC and HRF.

[0035] Among them, HPLC (High-frequency Power Line Communication) is a communication technology based on power line carrier, which uses the existing power transmission network as a medium for data transmission. It avoids interference with low-frequency power signals by transmitting data in the high-frequency band (usually between 1.7MHz and 30MHz).

[0036] Among them, HRF (High-frequency Radio Frequency) is a high-frequency wireless communication technology that transmits data through high-frequency radio waves (usually in the range of 300MHz to 3GHz). HRF technology covers a variety of specific wireless communication standards, such as Wi-Fi, Bluetooth, Zigbee, etc.

[0037] The hybrid transmission network structure includes a plurality of sending nodes and a plurality of receiving nodes, and a plurality of relay nodes are arranged between the sending nodes and the receiving nodes.

[0038] Furthermore, the sending node (STA), the relay node (Relay Node) and the receiving node (PCO or CCO) can be communicatively connected via an HPLC link or an HRF link.

[0039] Among them, the sending node (STA) refers to the sending node in the network, that is, the device or terminal responsible for initiating data transmission. The relay node (Relay Node) is a network node used to enhance the signal, extend the transmission distance and improve the stability of communication. The receiving node (PCO) is the main coordinator node in the hybrid transmission network, responsible for the overall coordination and management of the network. The receiving node (CCO) is the central coordinator node in the hybrid transmission network, responsible for the central coordination and control of the entire network.

[0040] Reference Manual Attached Figure 2 , showing a structural schematic diagram of a hybrid transmission network structure provided by an embodiment of the present invention.

[0041] Figure 2 In the figure, S represents the sending node, R represents the relay node, D represents the receiving node, the straight line represents the HPLC link, and the dotted line represents the HRF link.

[0042] It should be noted that the hybrid transmission network structure allows the sending node and the receiving node to communicate through the HPLC link or the HRF link. This flexibility can expand the coverage of the communication network, allowing the communication to cover a wider area, including indoor and outdoor environments.

[0043] In the present invention, the hybrid transmission network structure allows the use of multiple transmission paths and communication modes, thereby increasing the redundancy and robustness of communication. Even if a transmission link fails or is disturbed, communication can still be carried out through other links, thereby improving the reliability and stability of communication.

[0044] In a possible implementation, the hybrid transmission network based on HPLC and HRF includes an HPLC transmission model, and the HPLC signal transmission equation in the HPLC transmission model is specifically:

[0045]

[0046] in, represents the transmission signal when the i-th link adopts HPLC link, h p represents the power carrier channel gain, G i represents the relay gain of the relay node at the beginning of the i-th link, P i represents the transmission power of the relay node at the beginning of the ith link, e represents the natural constant, α represents the HPLC channel attenuation factor, d i represents the length of the i-th link, y i-1 represents the transmission signal of the i-1th link, n p Represents power carrier transmission noise.

[0047] It should be noted that the HPLC transmission model provides a theoretical basis for describing the behavior of HPLC signals during transmission. By establishing the transmission model and transmission equation, we can deeply understand the working principle of the HPLC communication system and provide theoretical support for system design and optimization.

[0048] In a possible implementation, the hybrid transmission network based on HPLC and HRF includes an HRF transmission model, and the HRF signal transmission equation in the HRF transmission model is specifically:

[0049]

[0050] in, represents the transmission signal when the i-th link adopts the HRF link, h w represents the wireless channel gain, G i represents the relay gain of the relay node at the beginning of the i-th link, P irepresents the transmission power of the relay node at the beginning of the i-th link, d i represents the length of the i-th link, m represents the path loss index of the wireless channel, and y i-1 represents the transmission signal of the i-1th link, n d represents HRF noise.

[0051] It should be noted that building the HRF model and determining the wireless signal transmission equation provides a theoretical basis for describing the behavior of wireless signals during transmission. By establishing the transmission model and transmission equation, we can deeply understand the working principle of the HRF system and provide theoretical support for system design and optimization.

[0052] S2: Calculate the signal-to-noise ratio and the network transmission rate when information is transmitted through the hybrid transmission network structure, and obtain the actual distance hybrid transmission network structure between each of the sending nodes and each of the receiving nodes.

[0053] Among them, the signal-to-noise ratio (SNR) is an indicator used to measure the relative strength between signal and noise.

[0054] In a possible implementation manner, the signal-to-noise ratio is calculated when information is transmitted through a hybrid transmission network structure as follows:

[0055] γ=γ1×…γ i ×…×γ n

[0056] Among them, γ represents the signal-to-noise ratio, γ i represents the signal-to-noise ratio on the i-th link, and n represents the total number of links.

[0057] It should be noted that by multiplying the signal-to-noise ratios on each link, the signal-to-noise ratio of the entire hybrid transmission network structure can be obtained. This helps to comprehensively evaluate the performance of the entire system, taking into account the signal transmission quality on all links.

[0058] Optionally, when an HPLC link is used, the signal-to-noise ratio on the link is specifically:

[0059]

[0060] Among them, γ r represents the signal-to-noise ratio on the link when the HPLC link is used, G represents the relay gain of the relay node at the beginning of the link, P represents the transmission power of the relay node at the beginning of the link, d represents the length of the link, represents the variance of the power carrier transmission noise, h p represents the power carrier channel gain, and α represents the HPLC channel attenuation factor.

[0061] Optionally, when an HRF link is used, the signal-to-noise ratio on the link is specifically:

[0062]

[0063] Among them, γ d Indicates the signal-to-noise ratio on the link when using HPLC link, represents the variance of HRF noise, h w represents the wireless channel gain, and m represents the path loss exponent of the wireless channel.

[0064] In a possible implementation, the network transmission rate is calculated as follows:

[0065] C=E[log(1+γ)]

[0066] Where C represents the network transmission rate, E[] represents the mathematical expectation operation, log represents the logarithmic function with base 10, and γ represents the signal-to-noise ratio.

[0067] It should be noted that the above calculation method is based on the Shannon formula in information theory, which represents the theoretical transmission rate of a communication system under a given signal-to-noise ratio. The core idea is that there is a logarithmic relationship between channel capacity (transmission rate) and signal-to-noise ratio, that is, the transmission rate increases with the increase of signal-to-noise ratio, but the growth tends to saturation.

[0068] In the present invention, by using mathematical expectation operation and logarithmic function, the transmission rates on different links can be unified into a comprehensive index, which is convenient for comparison and analysis of different system solutions. This helps decision makers better understand the performance of the system and make appropriate optimization and adjustments.

[0069] S3: Taking the actual distance as the constraint condition and maximizing the network transmission rate as the goal, the optimal structural parameters are determined through the optimization algorithm.

[0070] The structural parameters include: the number of relay nodes, connection links, and information transmission methods of each link.

[0071] In the present invention, the actual distance is taken as a constraint condition, and the maximization of the network transmission rate is taken as the goal. The optimal structural parameters are determined by an optimization algorithm, and then a hybrid transmission network based on HPLC and HRF is constructed according to the optimal structural parameters. The hybrid transmission network structure can be planned according to the actual situation with the goal of maximizing the network transmission rate, reducing the risk of interference between devices, improving the balance of network resource allocation, ensuring the network transmission rate, and improving communication quality and stability.

[0072] Reference Manual Attached Figure 3, which shows a flow chart of a method for solving structural parameters provided by an embodiment of the present invention.

[0073] In a possible implementation, S3 specifically includes:

[0074] S301: Setting constraints.

[0075] Among them, the constraints include actual distance constraints, relay node gain constraints, relay node transmission power constraints, power carrier channel gain constraints, wireless channel gain constraints, etc.

[0076] Actual distance constraint refers to the use of the actual physical distance between nodes as one of the constraints during network design or optimization. This constraint ensures that the physical layout of the network complies with the distance limit in the actual scenario to meet the needs and limitations of actual deployment. Specifically, the link distance between the sending node and the receiving node should not be less than the actual distance between the sending node and the receiving node.

[0077] Relay node gain constraint refers to limiting the signal gain of relay nodes in a hybrid transmission network. The gain of relay nodes needs to be adjusted within a certain range to ensure the stability and reliability of signal transmission and avoid adverse effects caused by too strong or too weak signals.

[0078] Relay node transmission power constraint refers to limiting the transmission power of relay nodes in a hybrid transmission network. The transmission power needs to be adjusted within a certain range to ensure the communication quality and energy efficiency of the network and avoid energy waste or interference with signal transmission of other nodes.

[0079] Power carrier channel gain constraint refers to limiting the gain of the power carrier channel in a hybrid transmission network. The gain of the power carrier channel needs to be adjusted within a certain range to ensure the signal transmission distance, transmission rate and anti-interference ability, and avoid interference caused by signal attenuation or excessive signal strength.

[0080] Wireless channel gain constraint refers to limiting the gain of wireless channels in hybrid transmission networks. The gain of wireless channels needs to be adjusted within a certain range to ensure the transmission distance, transmission rate and anti-interference ability of the signal, and to avoid interference caused by signal attenuation or excessive signal strength.

[0081] S302: Setting an objective function with the goal of maximizing the network transmission rate.

[0082] Among them, the objective function is specifically:

[0083] F(θ)=max{C}

[0084] Among them, F() represents the objective function, θ represents the structural parameter, max represents the maximum value, and C represents the network transmission rate.

[0085] S303: Taking the maximum function value of the objective function as the goal, the optimal structural parameters are determined by using a particle swarm optimization algorithm.

[0086] Specifically, the objective function is used as the fitness function of the particle swarm optimization algorithm.

[0087] Initialize a particle swarm, which contains multiple particles, each particle represents a feasible structural parameter;

[0088] Calculate the fitness of each particle;

[0089] Determine individual optimal positions and global optimal positions;

[0090] Each particle updates its speed and position based on its individual optimal position and the global optimal position:

[0091]

[0092] in, represents the velocity of the i-th particle at the t+1th iteration, represents the velocity of the i-th particle at the t-th iteration, ω represents the inertia weight factor, c1 represents the individual optimal acceleration factor, c2 represents the global optimal acceleration factor, r1 and r2 both represent random numbers between 0 and 1, represents the individual optimal position of the i-th particle at the t-th iteration, represents the global optimal position at the tth iteration, represents the position of the i-th particle at the t-th iteration, h represents the flight coefficient, represents the position of the i-th particle at the t+1th iteration.

[0093] Among them, those skilled in the art can set the size of the inertia weight factor ω according to actual conditions, and the present invention does not limit this.

[0094] Optionally, the inertia weight factor ω is specifically:

[0095]

[0096] Among them, ω t represents the inertia weight factor at the tth iteration, t max represents the maximum number of iterations, t represents the current number of iterations, λ represents the decrease coefficient, and exp represents the exponential function with the natural constant e as the base.

[0097] In the present invention, in the initial stage, a higher inertia weight can help particles search the space more widely. As the number of iterations increases, the decrease in inertia weight makes the particles more inclined to use local information, thereby avoiding falling into the local optimal solution.

[0098] Update the fitness of each particle.

[0099] Calculate the neighbor particles of each particle:

[0100]

[0101] Among them, N i represents the neighbors of the i-th particle, f() represents the fitness function, represents the fitness of the i-th particle at the t-th iteration, represents the fitness of the global optimal position of the ith particle at the tth iteration, exp[] represents an exponential function with the natural constant e as the base, R represents a 1×d random matrix consisting of d random numbers in the range [-1,1], d represents the dimension of the particle, and ⊙ represents an element-by-element multiplication operation.

[0102] It should be noted that by considering neighbor particles, the algorithm can pay more attention to the area near the local optimal solution, which helps to accelerate the convergence of the algorithm and better utilize information sharing in the particle swarm in local search.

[0103] Calculate the fitness of each neighbor particle.

[0104] If the neighbor particle has a higher fitness, the current particle is replaced by the neighbor particle, otherwise, the current particle remains in its original state.

[0105] In the present invention, when the fitness of a neighbor particle is higher, the neighbor particle is used to replace the current particle, so that the algorithm can adaptively adjust the search direction during the search process, and is more likely to move in a better direction, thereby improving the efficiency and performance of the algorithm.

[0106] Update individual optimality and global optimality.

[0107] Determine whether the current number of iterations has reached the maximum number of iterations; if so, output the structural parameters represented by the particle with the highest fitness as the optimal structural parameters; otherwise, return to continue iterating.

[0108] In the present invention, maximizing the network transmission rate as the optimization goal can improve the transmission efficiency and performance of the network. The network structure can be optimized by determining the optimal structural parameters through the particle swarm algorithm so that the network can achieve the maximum transmission rate while meeting the actual distance constraints.

[0109] S4: According to the optimal structural parameters, information is transmitted through a hybrid transmission network based on HPLC and HRF.

[0110] Reference Manual Attached Figure 4 , showing a flow chart of an information transmission method provided by an embodiment of the present invention.

[0111] In a possible implementation, S4 specifically includes:

[0112] S401: Acquire information to be transmitted from a target sending node to a target receiving node.

[0113] S402: Acquire each optional transmission link between the target sending node and the target receiving node.

[0114] S403: Calculate the contention value of the optional transmission link.

[0115] Optionally, the contention value of the optional transmission link is specifically:

[0116]

[0117] Where V represents the contention value of the link, v j represents the contention value of the jth relay node, and n represents the total number of relay nodes on the link.

[0118] It should be noted that the calculation of the competition value covers the competition values ​​of all relay nodes, and the competition situation of the entire transmission link is represented by the comprehensive sum of the competition values ​​of all relay nodes. This can comprehensively consider the competition situation on the entire transmission link, rather than being limited to a single node. At the same time, calculating the competition value as the average of the competition values ​​of all relay nodes can better balance the degree of competition on the entire transmission path. This helps to avoid the degradation of transmission performance caused by excessive competition of certain nodes, thereby improving the overall performance and stability of the network.

[0119] Optionally, the contention value of the relay node is specifically:

[0120]

[0121] Among them, v represents the competition value of the relay node, K represents the connectivity of the relay node, that is, the total number of nodes connected to the relay node, β represents the weight coefficient of the connectivity, and γ k Represents the signal-to-noise ratio of the link between the kth node and the current relay node.

[0122] Among them, those skilled in the art can set the size of the weight coefficient of the connectivity according to actual conditions, and the present invention does not limit this.

[0123] The connectivity of a relay node indicates the number of nodes directly connected to the node. The higher the connectivity, the greater the importance and influence of the relay node. Taking connectivity into account can better reflect the position of the relay node in the network topology, thereby more accurately evaluating its competition.

[0124] Furthermore, the competition value includes the weighted sum of the signal-to-noise ratios of all nodes connected to the current relay node. By comprehensively considering the signal-to-noise ratios of all connected nodes, the competition situation at the location of the current relay node can be more comprehensively evaluated, which helps to select the transmission path more accurately.

[0125] In the present invention, by comprehensively considering the connectivity and signal-to-noise ratio, the contention value calculation method of the relay node can more comprehensively evaluate the contention situation of the transmission link, thereby more reasonably selecting the transmission path and improving the performance and stability of the network.

[0126] S404: Select the optional transmission link with the highest contention value to transmit the information to be transmitted.

[0127] In the present invention, by calculating the contention value of the transmission link, a transmission link with a higher contention value can be selected for information transmission, which can improve the transmission efficiency and ensure that information can be transmitted at a faster speed in the network. At the same time, through the calculation of the contention value and the selection of the transmission link, network resources can be used more effectively. The preferred transmission link can make full use of network resources and avoid resource waste and congestion.

[0128] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0129] In the present invention, the actual distance is taken as a constraint condition, and the maximization of the network transmission rate is taken as the goal. The optimal structural parameters are determined by an optimization algorithm, and then a hybrid transmission network based on HPLC and HRF is constructed according to the optimal structural parameters. The hybrid transmission network structure can be planned according to the actual situation with the goal of maximizing the network transmission rate, reducing the risk of interference between devices, improving the balance of network resource allocation, ensuring the network transmission rate, and improving communication quality and stability.

[0130] Reference Manual Attached Figure 5 , showing a schematic structural diagram of an information transmission system based on HPLC and HRF provided by the present invention.

[0131] The present invention further provides an information transmission system 20 based on HPLC and HRF, which is applied to the above-mentioned information transmission method based on HPLC and HRF, comprising:

[0132] Processor 201.

[0133] The memory 202 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 201 , the information transmission method based on HPLC and HRF in the method embodiment is implemented.

[0134] The HPLC and HRF-based information transmission system 20 provided by the present invention can execute the above-mentioned HPLC and HRF-based information transmission method and achieve the same or similar technical effects. To avoid repetition, the present invention will not elaborate on them.

[0135] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0136] In the present invention, the actual distance is taken as a constraint condition, and the maximization of the network transmission rate is taken as the goal. The optimal structural parameters are determined by an optimization algorithm, and then a hybrid transmission network based on HPLC and HRF is constructed according to the optimal structural parameters. The hybrid transmission network structure can be planned according to the actual situation with the goal of maximizing the network transmission rate, reducing the risk of interference between devices, improving the balance of network resource allocation, ensuring the network transmission rate, and improving communication quality and stability.

[0137] It should be understood that the processor in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0138] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0139] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0140] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0141] In the present invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0142] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0143] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0144] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0145] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0146] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0147] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0148] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0149] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the information transmission method based on HPLC and HRF as described in the method embodiment is implemented.

[0150] A computer-readable storage medium provided by the present invention can implement the steps and effects of the information transmission method based on HPLC and HRF in the above method embodiment, and to avoid repetition, the present invention will not go into details.

[0151] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0152] In the present invention, the actual distance is taken as a constraint condition, and the maximization of the network transmission rate is taken as the goal. The optimal structural parameters are determined by an optimization algorithm, and then a hybrid transmission network based on HPLC and HRF is constructed according to the optimal structural parameters. The hybrid transmission network structure can be planned according to the actual situation with the goal of maximizing the network transmission rate, reducing the risk of interference between devices, improving the balance of network resource allocation, ensuring the network transmission rate, and improving communication quality and stability.

[0153] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0154] There are a few points to note:

[0155] (1) The drawings of the embodiments of the present invention only relate to the structures related to the embodiments of the present invention, and other structures may refer to the general design.

[0156] (2) For the sake of clarity, in the drawings used to describe the embodiments of the present invention, the thickness of the layers or regions is exaggerated or reduced, that is, these drawings are not drawn according to the actual scale. It is understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, the element may be "directly" "on" or "under" the other element or there may be intermediate elements.

[0157] (3) In the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to obtain new embodiments.

[0158] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. An information transmission method based on HPLC and HRF, characterized in that, include: S1: Construction of hybrid transport network structure based on HPLC and HRF; S2: Calculate the signal-to-noise ratio and the network transmission rate when information is transmitted through the hybrid transmission network structure, and obtain the actual distance between each sending node and each receiving node; S3: Taking the actual distance as a constraint condition and maximizing the network transmission rate as a goal, determine the optimal structural parameters through an optimization algorithm; S4: performing information transmission through a hybrid transmission network based on HPLC and HRF according to the optimal structural parameters; Wherein, the S3 specifically includes: S301: Setting constraint conditions, wherein the constraint conditions include actual distance constraints; S302: setting an objective function with the goal of maximizing the network transmission rate; S303: Taking the maximum function value of the objective function as the goal, determine the optimal structural parameters through a particle swarm optimization algorithm; The structural parameters include: the number of relay nodes, connection links, and information transmission methods of each link; Wherein, the S4 specifically includes: S401: Acquire information to be transmitted from a target sending node to a target receiving node; S402: Acquire each optional transmission link between the target sending node and the target receiving node; S403: Calculate the contention value of the optional transmission link; S404: Selecting an optional transmission link with the highest contention value to transmit the information to be transmitted; The hybrid transmission network structure includes a plurality of sending nodes and a plurality of receiving nodes, a plurality of relay nodes are arranged between the sending nodes and the receiving nodes, and the contention value of the optional transmission link is specifically: Where V represents the contention value of the link, v j represents the contention value of the jth relay node, and n represents the total number of relay nodes on the link; The contention value of the relay node is specifically: Among them, v represents the competition value of the relay node, K represents the connectivity of the relay node, that is, the total number of nodes connected to the relay node, λ represents the weight coefficient of the connectivity, and γ k Represents the signal-to-noise ratio of the link between the kth node and the current relay node.

2. The information transmission method based on HPLC and HRF according to claim 1, characterized in that: The hybrid transmission network based on HPLC and HRF includes an HPLC transmission model, and the HPLC signal transmission equation in the HPLC transmission model is specifically: in, represents the transmission signal when the i-th link adopts HPLC link, h p represents the power carrier channel gain, G i represents the relay gain of the relay node at the beginning of the i-th link, P i represents the transmission power of the relay node at the beginning of the ith link, e represents the natural constant, α represents the HPLC channel attenuation factor, d i represents the length of the i-th link, y i-1 represents the transmission signal of the i-1th link, n p Represents power carrier transmission noise.

3. The information transmission method based on HPLC and HRF according to claim 1, characterized in that: The hybrid transmission network based on HPLC and HRF includes an HRF transmission model, and the HRF signal transmission equation in the HRF transmission model is specifically: in, represents the transmission signal when the i-th link adopts the HRF link, h w represents the wireless channel gain, G i represents the relay gain of the relay node at the beginning of the i-th link, P i represents the transmission power of the relay node at the beginning of the i-th link, d i represents the length of the i-th link, m represents the path loss index of the wireless channel, and y i-1 represents the transmission signal of the i-1th link, n d represents HRF noise.

4. The information transmission method based on HPLC and HRF according to claim 1, characterized in that: The signal-to-noise ratio is calculated by the hybrid transmission network structure as follows: γ=γ1×…γ i ×…×c n Among them, γ represents the signal-to-noise ratio, γ i represents the signal-to-noise ratio on the i-th link, and n represents the total number of links; When using an HPLC link, the signal-to-noise ratio on the link is: Among them, γ r represents the signal-to-noise ratio on the link when the HPLC link is used, G represents the relay gain of the relay node at the beginning of the link, P represents the transmission power of the relay node at the beginning of the link, d represents the length of the link, represents the variance of the power carrier transmission noise, h p represents the power carrier channel gain, and α represents the HPLC channel attenuation factor; When the HRF link is used, the signal-to-noise ratio on the link is: Among them, γ d Indicates the signal-to-noise ratio on the link when using the HRF link, represents the variance of HRF noise, h w represents the wireless channel gain, and m represents the path loss exponent of the wireless channel.

5. The information transmission method based on HPLC and HRF according to claim 1, characterized in that: The network transmission rate is calculated as follows: C=E[log(1+γ)] Where C represents the network transmission rate, E[] represents the mathematical expectation operation, log represents the logarithmic function with base 10, and γ represents the signal-to-noise ratio.

6. An information transmission system based on HPLC and HRF, characterized in that: include: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the information transmission method based on HPLC and HRF as claimed in any one of claims 1 to 5 is implemented.

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