CN117241297A - Method and device for evaluating transmission channel of dual-mode communication - Google Patents
Method and device for evaluating transmission channel of dual-mode communication Download PDFInfo
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Abstract
The application discloses a transmission channel assessment method and device for dual-mode communication. The application calculates the channel quality fraction according to the channel parameters, determines the transmission channel lower than the preset fraction as the target transmission channel, and determines the modulation strategy corresponding to the abnormal transmission channel. And modulating the service demand index according to the modulation strategy, and transmitting the modulated index to the second network node. In this way, the channel quality in the transmission process can be optimized, and the stability and reliability of the transmission can be improved. The abnormal transmission and packet loss are reduced. The utilization of network resources is optimized, the cost of network maintenance and management is reduced, and the manual intervention and adjustment of the network are reduced by automatically calculating and adjusting the quality fraction and the modulation strategy of the transmission channel.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating a transmission channel of dual-mode communications.
Background
In a power system, in order to achieve interconnection and interworking between a smart grid and power equipment, a dual-mode communication network is widely used. The dual mode communication network includes a power line broadband carrier channel and a micro-power wireless channel for enabling data transmission and communication between the power devices. However, due to the different characteristics of the broadband carrier channel and the micro-power wireless channel of the power line, the stability of the channel quality is often not guaranteed, and abnormal data transmission and packet loss of the power service occur.
Disclosure of Invention
In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a method and apparatus for evaluating a transmission channel of dual mode communication.
According to an aspect of an embodiment of the present application, there is provided a transmission channel assessment method for dual mode communication, including:
acquiring a communication requirement corresponding to a first network node, wherein the communication requirement comprises at least one service requirement index of a power service to which the first network node belongs currently;
traversing a second network node matching the traffic demand index from a dual-mode communication network, wherein the dual-mode communication network comprises a plurality of network nodes including the first network node and the second network node;
acquiring channel parameters corresponding to transmission channels between the first network node and each second network node, and calculating channel quality scores corresponding to the transmission channels based on the channel parameters;
and determining the transmission channel with the channel quality score lower than a preset score as a target transmission channel, determining a modulation strategy corresponding to the abnormal transmission channel, modulating the service demand index according to the modulation strategy, and transmitting the modulated service demand index to the second network node.
Further, the obtaining the channel parameters corresponding to the transmission channels between the first network node and the second network nodes includes:
acquiring signal configuration information and configuring a test signal based on the channel configuration information;
transmitting the test signal to the second network node based on the transmission channel, so that the second network node processes the test signal to obtain a processed test signal, and performing signal estimation on the processed test signal;
receiving a signal estimation result fed back by the second network node, wherein the signal estimation result is obtained by the second network node through signal estimation on the processed test signal;
and extracting the channel parameters from the channel estimation result.
Further, the calculating the channel quality score corresponding to the transmission channel based on the channel parameter includes:
determining the channel type corresponding to the transmission channel;
extracting target channel parameters matched with the channel types from the channel parameters;
and calculating the channel quality fraction corresponding to the transmission channel according to the target channel parameter.
Further, the calculating the channel quality score corresponding to the transmission channel according to the target channel parameter includes:
acquiring an influence factor corresponding to the target channel parameter;
and calculating a weighted sum based on the parameter value corresponding to the target channel parameter of the influence factor, and taking the weighted sum as the channel quality score.
Further, the modulating the service requirement index according to the modulation policy, and transmitting the modulated service requirement index to the second network node includes:
grouping the service demand indexes according to a preset sequence to obtain a plurality of groups of data, wherein each group of data comprises a preset number of bit data;
mapping a preset number of bit data of each group to one phase point in a signal constellation diagram, wherein the signal constellation diagram comprises 4 phase points, and the 4 phase points respectively represent different bit combinations;
converting the mapped phase point into an analog signal, and constructing a modulation signal by using the analog signal;
and transmitting the modulated signal to the second network node.
Further, the constructing a modulation signal using the analog signal includes:
extracting sine waves and cosine waves from the analog signals;
and taking the sine wave and the cosine wave as baseband signals, and carrying out weighted superposition on the baseband signals to obtain the modulation signals.
Further, the method further comprises:
receiving power business data fed back by the second network node based on the power demand data;
analyzing the power business data to obtain an association relationship between power demand and supply;
and adjusting a load management strategy and predicting power requirements by using the association relation.
According to another aspect of the embodiment of the present application, there is also provided a transmission channel assessment apparatus for dual mode communication, including:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a communication requirement corresponding to a first network node, wherein the communication requirement comprises at least one service requirement index of a power service of which the first network node is currently part;
a traversing module, configured to traverse a second network node that matches the traffic demand index from a dual-mode communication network, where the dual-mode communication network includes a plurality of network nodes including the first network node and the second network node;
the analysis module is used for acquiring channel parameters corresponding to transmission channels between the first network node and each second network node, and calculating channel quality scores corresponding to the transmission channels based on the channel parameters;
and the processing module is used for determining the transmission channel with the channel quality score lower than the preset score as a target transmission channel, determining a modulation strategy corresponding to the abnormal transmission channel, modulating the service demand index according to the modulation strategy, and transmitting the modulated service demand index to the second network node.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program that performs the above steps when running.
According to another aspect of the embodiment of the present application, there is also provided an electronic device including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus; wherein: a memory for storing a computer program; and a processor for executing the steps of the method by running a program stored on the memory.
Embodiments of the present application also provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of the above method.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages: the method provided by the embodiment of the application calculates the channel quality fraction according to the channel parameters, determines the transmission channel lower than the preset fraction as the target transmission channel, and simultaneously determines the modulation strategy corresponding to the abnormal transmission channel. And modulating the service demand index according to the modulation strategy, and transmitting the modulated index to the second network node. In this way, the channel quality in the transmission process can be optimized, and the stability and reliability of the transmission can be improved. The abnormal transmission and packet loss are reduced. The utilization of network resources is optimized, the cost of network maintenance and management is reduced, and the manual intervention and adjustment of the network are reduced by automatically calculating and adjusting the quality fraction and the modulation strategy of the transmission channel.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a flowchart of a transmission channel assessment method for dual-mode communication according to an embodiment of the present application;
FIG. 2 is a block diagram of a transmission channel assessment apparatus for dual mode communication according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments, illustrative embodiments of the present application and descriptions thereof are used to explain the present application and do not constitute undue limitations of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another similar entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiment of the application provides a method, a device and a system. The method provided by the embodiment of the application can be applied to any needed electronic equipment, for example, the electronic equipment can be a server, a terminal and the like, is not particularly limited, and is convenient to describe and is called as the electronic equipment for short hereinafter.
According to an aspect of the embodiment of the application, a method embodiment of a method and a device for evaluating a transmission channel of dual-mode communication are provided. Fig. 1 is a flowchart of a transmission channel assessment method for dual-mode communication according to an embodiment of the present application, as shown in fig. 1, where the method includes:
step S11, a communication requirement corresponding to the first network node is obtained, wherein the communication requirement comprises at least one service requirement index of the current electric power service of the first network node.
The method provided by the embodiment of the application is applied to the first network node in the dual-mode communication network, wherein the first network node can be power service equipment, and the power service equipment can be substation intelligent equipment, for example: generators, transformers, power distribution systems, and electrical loads, among others. The business demand indicators may be power supply demand, power load demand, and power transfer demand, among others. The traffic demand indicator may be entered by a worker via an external device to the first network node. And the first network node integrates the service demand indexes according to the current self-deployed power service to obtain the communication demand.
It should be noted that the power supply requirement is understood to mean that the power service equipment needs to receive a power supply that is reliable, stable and meets the requirements of a specified voltage and frequency. This is a basic requirement to ensure that the device is functioning properly and to provide the required power. An electrical load demand may be understood as the load power demand that an electrical service device needs to meet. Different devices or systems may have different load characteristics and power requirements, such as power requirements, current requirements, etc. The power transmission requirements may be understood as that the power service equipment may need to perform power transmission to transfer electrical energy from one location to another. This may involve long distance transmission, transmission line capacity requirements, voltage class requirements of the cable, etc.
Step S12, traversing a second network node matching with the traffic demand index from the dual-mode communication network, wherein the dual-mode communication network comprises a plurality of network nodes including the first network node and the second network node.
In the embodiment of the application, a plurality of network nodes including a first network node and a second network node in the dual-mode communication network are different in power service deployment, and the power service data stored by the network nodes are also different. The second network node matching the traffic data index may thus be traversed from the dual mode communication network, for example: the network node with matched power supply requirements is node P, and the network node with matched power load requirements is node Q. The network node with matched power transmission requirements is node M.
The power service data corresponding to the power supply demand stored in the node P includes the following data:
voltage data: the power supply needs to meet certain voltage requirements, so that the power service data can include real-time measured values of the voltage, related data such as waveforms, stability and the like, so as to ensure stable supply of the voltage within a reasonable range.
Frequency data: the frequency of the power system is also an important index of power supply, and the power service data can comprise real-time measurement values of the frequency, frequency drift conditions and the like so as to ensure that the frequency is stable within the range required by the system.
Power data: the power supply demand may be related to power, and the power service data may include real-time measurement of power, power factor, active power, reactive power, etc. data to meet the demand of the device for power.
Load data: the power supply requirements also need to take into account data on the load, including the size, variation, power requirements, etc. of the load. The power business data can comprise data such as real-time measurement values of loads, load curves, load change trends and the like.
And (5) electric energy quality data: the quality of the electrical energy of the power supply is a very important part of the power business data. This includes data about voltage waveform distortion, harmonic content, voltage ripple, voltage sag, and sag, etc., to ensure that the power quality of the power supply meets prescribed criteria.
Availability data: the availability of power supplies is also important power business data. This includes data on reliability, failure rate, availability index, etc. of the power supply system for evaluating the stability and availability level of the power supply system.
The power traffic data of the power load demand stored in the node Q includes the following data:
load power data: the electrical load demand is closely related to the load power, and thus the electrical service data includes real-time measurements of the load power, average power, peak power, power curves, etc.
Load current data: load current is one of the important indicators of power load demand, and real-time measurement values, stability, harmonic content and the like of load current can be included in power business data.
Load type data: the electrical load demand may relate to different types of load devices, such as lighting devices, motors, heating devices, etc. The power traffic data may include the number of different load types, power levels, access times, etc.
Load change data: the power load demand also needs to consider the change condition of the load, and the power service data can comprise the change rate, the change trend, the load stability and the like of the load.
Load characteristic data: different load devices may have different electrical load characteristics, such as resistive loads, capacitive loads, inductive loads, etc. The power service data may include parameters related to load characteristics.
Load demand data: the electrical load demand may also include demands for power quality, stability, supply capacity, and the like. Specific requirements and limitations of load demand may be included in the power service data.
Load distribution data: the electrical load demand may relate to the distribution of a plurality of load devices, e.g. different floors, different areas of load distribution. The power traffic data may include information about load distribution for power scheduling and load balancing.
Step S13, obtaining channel parameters corresponding to transmission channels between the first network node and each second network node, and calculating channel quality scores corresponding to the transmission channels based on the channel parameters.
In the embodiment of the application, the channel parameters corresponding to the transmission channels between the first network node and each second network node are obtained, and the method comprises the following steps of A1-A4:
and step A1, acquiring signal configuration information and configuring a test signal based on the channel configuration information.
And step A2, transmitting the test signal to the second network node based on the transmission channel, so that the second network node processes the test signal to obtain a processed test signal, and performing signal estimation on the processed test signal.
And step A3, receiving a signal estimation result fed back by the second network node, wherein the signal estimation result is obtained by the second network node through signal estimation on the processed test signal.
And step A4, extracting channel parameters from the channel estimation result.
Specifically, first, the first network node configures a test signal, and configures a known test signal with a certain characteristic for transmission. The test signal may be a specific signal sequence, such as a training sequence or a pilot sequence, whose characteristics may be controlled by means of modulation. And secondly, based on the transmission channel, transmitting the test signal to a second network node, and receiving the test signal from the first network node by the second network node and processing the received signal, wherein the process comprises noise removal, attenuation compensation and the like. Filtering, equalization, etc. techniques may be used to enhance the quality of the signal. Then, a specific algorithm is used to perform channel estimation on the received signal to obtain a channel estimation result, which may be a pilot-based method, and the characteristics of the channel are estimated according to a known pilot sequence or training sequence. Finally, channel parameters are extracted from the channel estimation result.
Step S14, the transmission channel with the channel quality fraction lower than the preset fraction is determined as a target transmission channel, the modulation strategy corresponding to the abnormal transmission channel is determined, the service demand index is modulated according to the modulation strategy, and the modulated service demand index is transmitted to the second network node.
In the embodiment of the application, the channel quality score corresponding to the transmission channel is calculated based on the channel parameters, and the method comprises the following steps of:
and B1, determining the channel type corresponding to the transmission channel.
In the embodiment of the application, the channel types of the transmission channel can comprise a power line broadband carrier channel and a micro-power wireless channel. The channel parameters required for different channel types are different.
And step B2, extracting target channel parameters matched with the channel types from the channel parameters.
In calculating the channel quality fraction of the power line broadband carrier channel, the following channel parameters may be used for the calculation: signal-to-noise ratio: representing the ratio between signal strength and noise strength. A higher signal-to-noise ratio represents better channel quality. Bit error rate: indicating the rate at which errors occur during transmission. A lower bit error rate indicates a better channel quality. Transmission rate: representing the amount of data transferred per unit time. A higher transmission rate represents better channel quality.
In calculating the channel quality score for a micro-power wireless channel, the following channel parameters may be used for the calculation: signal strength: indicating the magnitude of the wireless signal strength. Higher signal strength represents better channel quality. Signal-to-noise ratio: representing the ratio between signal strength and noise strength. A higher signal-to-noise ratio represents better channel quality. Transmission rate: representing the amount of data transferred per unit time. A higher transmission rate represents better channel quality.
And step B3, calculating the channel quality fraction corresponding to the transmission channel according to the target channel parameter.
In the embodiment of the application, calculating the channel quality score corresponding to the transmission channel according to the target channel parameter comprises the following steps: acquiring an influence factor corresponding to the target channel parameter; and calculating a weighted sum based on the parameter value corresponding to the target channel parameter by the influence factor, and taking the weighted sum as the channel quality score.
In the embodiment of the application, the service demand index is modulated according to the modulation strategy, and the modulated service demand index is transmitted to the second network node, comprising the following steps C1-C4:
and step C1, grouping the service demand indexes according to a preset sequence to obtain a plurality of groups of data, wherein each group of data comprises a preset number of bit data.
In the embodiment of the present application, the preset sequence may be an occurrence sequence of data or an alternating sequence, for example, the preset sequence may be grouped according to parity sequence, that is, an odd number is in one group, and an even number is in another group.
And C2, mapping the preset number of bit data of each group to one phase point in a signal constellation diagram, wherein the signal constellation diagram comprises 4 phase points, and the 4 phase points respectively represent different bit combinations.
And step C3, converting the mapped phase point into an analog signal, and constructing a modulation signal by utilizing the analog signal.
In an embodiment of the present application, constructing a modulation signal using an analog signal includes: extracting sine waves and cosine waves from the analog signals; and taking sine waves and cosine waves as baseband signals, and carrying out weighted superposition on the baseband signals to obtain modulation signals.
In the embodiment of the application, in the modulation process, the analog signal refers to a combination of sine wave and cosine wave by converting the mapped phase point into the analog signal. And the baseband signal refers to the real and imaginary parts on the constellation, i.e. the coordinates of each phase point.
The function of the analog signal is to convert the baseband signal into a continuous-time analog signal so that the transmission can take place over a continuous time domain during the transmission. By weighted superposition of the real and imaginary parts, an analog signal is generated with corresponding sine and cosine wave shapes.
The baseband signal serves to correspond to phase points in the constellation diagram, representing different bit combinations. Each phase point represents two bits of data, the specific combination being determined by the coordinates and phase angle of the phase point. The real and imaginary parts of the baseband signal correspond to the horizontal and vertical axes in the constellation, and by adjusting the amplitude and phase angle of the real and imaginary parts, a representation of different bit combinations can be achieved.
Based on this, modulation is employed by mapping the two bits of data of each group to phase points on the constellation, and then converting the phase points to analog signals. The finally generated modulation signal is based on the weighted superposition result of the analog signal, wherein the shape of the analog signal is controlled by the baseband signal, and the data transmission is realized.
And step C4, transmitting the modulated signal to a second network node.
In an embodiment of the application, the first network node sends the modulated signal to the second network node via a transmission channel.
The method provided by the embodiment of the application calculates the channel quality fraction according to the channel parameters, determines the transmission channel lower than the preset fraction as the target transmission channel, and simultaneously determines the modulation strategy corresponding to the abnormal transmission channel. And modulating the service demand index according to the modulation strategy, and transmitting the modulated index to the second network node. In this way, the channel quality in the transmission process can be optimized, and the stability and reliability of the transmission can be improved. The abnormal transmission and packet loss are reduced. The utilization of network resources is optimized, the cost of network maintenance and management is reduced, and the manual intervention and adjustment of the network are reduced by automatically calculating and adjusting the quality fraction and the modulation strategy of the transmission channel.
In the embodiment of the application, the method further comprises the following steps: receiving power business data fed back by the second network node based on the power demand data; analyzing the power business data to obtain the association relation between the power demand and the supply; and adjusting a load management strategy and predicting power requirements by using the association relation.
In the embodiment of the application, in the power system, the analysis of the power business data can help to know the association relation between the power demand and the supply, and the load management strategy and the prediction of the future power demand can be adjusted through the association relation.
First, power business data such as data on power demand, actual supply, temperature, season, time, etc. are collected. Secondly, the collected data is analyzed by using data analysis technology, such as statistical analysis, machine learning and other methods. By analysis, we can find the correlation between the power demand and supply, for example, in high temperature weather, the power demand is higher; during peak hours of the workday, the power demand is large.
The following measures can be taken to adjust the load management policy based on the association:
load adjustment: the load management strategy is adjusted according to the associated factors of the power demand, such as temperature, season, time, etc. For example, in high temperature weather, the power demand may be met by increasing the operating efficiency of air conditioning and refrigeration equipment.
Load balancing: according to the relevance of power demand and supply, loads in the power system are balanced, so that load distribution of different power supply areas and time periods is more balanced.
Fig. 2 is a block diagram of a transmission channel assessment apparatus for dual mode communication according to an embodiment of the present application, where the apparatus may be implemented as part or all of an electronic device by software, hardware, or a combination of both. As shown in fig. 2, the apparatus includes:
an obtaining module 21, configured to obtain a communication requirement corresponding to the first network node, where the communication requirement includes at least one service requirement index of a power service to which the first network node currently belongs;
a traversing module 22, configured to traverse a second network node that matches the traffic demand index from a dual-mode communication network, where the dual-mode communication network includes a plurality of network nodes including the first network node and the second network node;
an analysis module 23, configured to obtain channel parameters corresponding to transmission channels between the first network node and each second network node, and calculate a channel quality score corresponding to the transmission channel based on the channel parameters;
the processing module 24 is configured to determine a transmission channel with a channel quality score lower than a preset score as a target transmission channel, determine a modulation policy corresponding to the abnormal transmission channel, modulate the service requirement index according to the modulation policy, and transmit the modulated service requirement index to the second network node.
In the embodiment of the present application, the analysis module 23 is configured to obtain signal configuration information, and configure a test signal based on the channel configuration information; transmitting a test signal to a second network node based on a transmission channel, so that the second network node processes the test signal to obtain a processed test signal, and performing signal estimation on the processed test signal; receiving a signal estimation result fed back by the second network node, wherein the signal estimation result is obtained by the second network node through signal estimation on the processed test signal; channel parameters are extracted from the channel estimation result.
In the embodiment of the present application, the analysis module 23 is configured to determine a channel type corresponding to a transmission channel; extracting target channel parameters matched with the channel types from the channel parameters; and calculating the channel quality fraction corresponding to the transmission channel according to the target channel parameters.
In the embodiment of the present application, the analysis module 23 is configured to obtain an impact factor corresponding to a target channel parameter; and calculating a weighted sum based on the parameter value corresponding to the target channel parameter by the influence factor, and taking the weighted sum as the channel quality score.
In the embodiment of the present application, the processing module 24 is configured to group the service requirement indexes according to a preset sequence to obtain multiple groups of data, where each group of data includes a preset number of bit data; mapping a preset number of bit data of each group to one phase point in a signal constellation diagram, wherein the signal constellation diagram comprises 4 phase points, and the 4 phase points respectively represent different bit combinations; converting the mapped phase point into an analog signal, and constructing a modulation signal by using the analog signal; and transmitting the modulated signal to the second network node.
In an embodiment of the present application, the processing module 24 is configured to extract sine waves and cosine waves from the analog signal; and taking sine waves and cosine waves as baseband signals, and carrying out weighted superposition on the baseband signals to obtain modulation signals.
In the embodiment of the application, the device further comprises: the adjusting module is used for receiving power business data fed back by the second network node based on the power demand data; analyzing the power business data to obtain the association relation between the power demand and the supply; and adjusting a load management strategy and predicting power requirements by using the association relation.
The embodiment of the application also provides an electronic device, as shown in fig. 3, the electronic device may include: the device comprises a processor 1501, a communication interface 1502, a memory 1503 and a communication bus 1504, wherein the processor 1501, the communication interface 1502 and the memory 1503 are in communication with each other through the communication bus 1504.
A memory 1503 for storing a computer program;
the processor 1501, when executing the computer program stored in the memory 1503, implements the steps of the above embodiments.
The communication bus mentioned by the above terminal may be a peripheral component interconnect standard (Peripheral Component Interconnect, abbreviated as PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated as EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
The communication interface is used for communication between the terminal and other devices.
The memory may include random access memory (Random Access Memory, RAM) or non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processing, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
In yet another embodiment of the present application, a computer readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the method of any of the above embodiments is also provided.
In a further embodiment of the present application, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of any of the above embodiments.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may 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. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may 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 may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk), etc.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application are included in the protection scope of the present application.
The foregoing is only a specific embodiment of the application to enable those skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A transmission channel assessment method for dual mode communication, comprising:
acquiring a communication requirement corresponding to a first network node, wherein the communication requirement comprises at least one service requirement index of a power service to which the first network node belongs currently;
traversing a second network node matching the traffic demand index from a dual-mode communication network, wherein the dual-mode communication network comprises a plurality of network nodes including the first network node and the second network node;
acquiring channel parameters corresponding to transmission channels between the first network node and each second network node, and calculating channel quality scores corresponding to the transmission channels based on the channel parameters;
and determining the transmission channel with the channel quality score lower than a preset score as a target transmission channel, determining a modulation strategy corresponding to the abnormal transmission channel, modulating the service demand index according to the modulation strategy, and transmitting the modulated service demand index to the second network node.
2. The method according to claim 1, wherein said obtaining channel parameters corresponding to transmission channels between the first network node and the respective second network nodes comprises:
acquiring signal configuration information and configuring a test signal based on the channel configuration information;
transmitting the test signal to the second network node based on the transmission channel, so that the second network node processes the test signal to obtain a processed test signal, and performing signal estimation on the processed test signal;
receiving a signal estimation result fed back by the second network node, wherein the signal estimation result is obtained by the second network node through signal estimation on the processed test signal;
and extracting the channel parameters from the channel estimation result.
3. The method of claim 1, wherein said calculating a channel quality score for the transmission channel based on the channel parameters comprises:
determining the channel type corresponding to the transmission channel;
extracting target channel parameters matched with the channel types from the channel parameters;
and calculating the channel quality fraction corresponding to the transmission channel according to the target channel parameter.
4. The method of claim 2, wherein said calculating the channel quality score corresponding to the transmission channel based on the target channel parameters comprises:
acquiring an influence factor corresponding to the target channel parameter;
and calculating a weighted sum based on the parameter value corresponding to the target channel parameter of the influence factor, and taking the weighted sum as the channel quality score.
5. The method of claim 1, wherein modulating the traffic demand indicator according to the modulation policy, and transmitting the modulated traffic demand indicator to the second network node, comprises:
grouping the service demand indexes according to a preset sequence to obtain a plurality of groups of data, wherein each group of data comprises a preset number of bit data;
mapping a preset number of bit data of each group to one phase point in a signal constellation diagram, wherein the signal constellation diagram comprises 4 phase points, and the 4 phase points respectively represent different bit combinations;
converting the mapped phase point into an analog signal, and constructing a modulation signal by using the analog signal;
and transmitting the modulated signal to the second network node.
6. The method of claim 5, wherein said constructing a modulated signal using said analog signal comprises:
extracting sine waves and cosine waves from the analog signals;
and taking the sine wave and the cosine wave as baseband signals, and carrying out weighted superposition on the baseband signals to obtain the modulation signals.
7. The method according to claim 1, wherein the method further comprises:
receiving power business data fed back by the second network node based on the power demand data;
analyzing the power business data to obtain an association relationship between power demand and supply;
and adjusting a load management strategy and predicting power requirements by using the association relation.
8. A transmission channel assessment apparatus for dual mode communications, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a communication requirement corresponding to a first network node, wherein the communication requirement comprises at least one service requirement index of a power service of which the first network node is currently part;
a traversing module, configured to traverse a second network node that matches the traffic demand index from a dual-mode communication network, where the dual-mode communication network includes a plurality of network nodes including the first network node and the second network node;
the analysis module is used for acquiring channel parameters corresponding to transmission channels between the first network node and each second network node, and calculating channel quality scores corresponding to the transmission channels based on the channel parameters;
and the processing module is used for determining the transmission channel with the channel quality score lower than the preset score as a target transmission channel, determining a modulation strategy corresponding to the abnormal transmission channel, modulating the service demand index according to the modulation strategy, and transmitting the modulated service demand index to the second network node.
9. A storage medium comprising a stored program, wherein the program when run performs the method of any one of the preceding claims 1 to 7.
10. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; wherein:
a memory for storing a computer program;
a processor for performing the method of any one of claims 1 to 7 by running a program stored on a memory.
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