Method and device for 5g wireless communication combined with power line carrier data transmission

Abstract

The application discloses a 5G wireless communication and power line carrier combined data transmission method and device, including a double-interface relay node, the double-interface relay node is connected with a power line interface and a wireless interface respectively, forming a power line channel and a wireless channel, the double-interface relay node performs the following steps: obtaining first channel data of the power line channel, and processing the first channel data according to a preset noise model to obtain a first cumulative distribution value of the received signal-to-noise ratio of the power line channel; obtaining second channel data of the wireless channel, and processing the second channel data according to a preset channel fading model to obtain a second cumulative distribution value of the received signal-to-noise ratio of the wireless channel; comparing the size of the first cumulative distribution value and the second cumulative distribution value, and selecting the channel with a high value as a target channel for data transmission. The power line carrier communication technology and the 5G wireless communication technology are combined, the reliability of data transmission is ensured, and the data transmission efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication technology, in particular to a method and device for 5G wireless communication and power line carrier joint data transmission. BACKGROUND

[0002] With the development of smart power distribution network, more and more automation devices and power terminal devices are connected to the power grid. These devices generate a large amount of business, and these businesses often have high requirements for data transmission delay and reliability. The existing information communication system includes various communication methods, including wireless communication technologies such as micro-power wireless and 5G, and wired communication technologies such as power line carrier. However, for the current smart power distribution network, the environment involved is complex, and the types of devices are diverse. Different power users have different business needs for the communication system, and a single communication technology cannot fully meet the communication needs of differentiated power businesses.

[0003] Among them, although 5G communication has the functions of ultra-high reliability and ultra-low latency, its communication effect is seriously affected by buildings and environment, and the construction cost is high. Large-scale use of wireless communication can easily cause network resource shortage, which is not conducive to achieving high reliability and low latency. Power line carrier communication has the advantages of wide line coverage, low cost, and transmission signal not attenuated by obstacles, but since the power line is not a dedicated communication line, it has problems such as strong line noise interference and serious high-frequency signal attenuation, and its performance cannot meet the real-time and reliability requirements of information transmission of smart power distribution network. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a method and device for 5G wireless communication and power line carrier joint data transmission.

[0005] In order to solve the above technical problems, the technical scheme adopted by the present application is:

[0006] A method for 5G wireless communication and power line carrier joint data transmission includes a dual-interface relay node connected to a power line interface and a wireless interface, forming a power line channel and a wireless channel. The dual-interface relay node performs the following steps:

[0007] Obtain first channel data of the power line channel, and process the first channel data according to a preset noise model to obtain a first cumulative distribution value of the received signal-to-noise ratio of the power line channel;

[0008] Obtain second channel data of the wireless channel, and process the second channel data according to a preset channel fading model to obtain a second cumulative distribution value of the received signal-to-noise ratio of the wireless channel;

[0009] The first cumulative distribution value and the second cumulative distribution value are compared in size, and a channel with a higher value is selected as a target channel for data transmission.

[0010] To solve the above technical problems, another technical solution adopted by the present application is:

[0011] A 5G wireless communication and power line carrier combined data transmission device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement each step of the above-mentioned 5G wireless communication and power line carrier combined data transmission method.

[0012] The present application has the beneficial effects that: by connecting the dual-interface relay node with the power line interface and the wireless interface respectively, forming the power line channel and the wireless channel, combining the power line carrier communication technology and the 5G wireless communication technology, the defects of the 5G wireless communication technology and the power line carrier communication technology used alone can be made up; at the same time, in the process of channel selection, the cumulative distribution value of the corresponding channel is calculated respectively to select the optimal channel for data transmission, which can ensure the reliability of data transmission and improve the data transmission efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0013] Figure 1 The present application has the beneficial effects that: by connecting the dual-interface relay node with the power line interface and the wireless interface respectively, forming the power line channel and the wireless channel, combining the power line carrier communication technology and the 5G wireless communication technology, the defects of the 5G wireless communication technology and the power line carrier communication technology used alone can be made up; at the same time, in the process of channel selection, the cumulative distribution value of the corresponding channel is calculated respectively to select the optimal channel for data transmission, which can ensure the reliability of data transmission and improve the data transmission efficiency.

[0014] Figure 2 The present application has the beneficial effects that: by connecting the dual-interface relay node with the power line interface and the wireless interface respectively, forming the power line channel and the wireless channel, combining the power line carrier communication technology and the 5G wireless communication technology, the defects of the 5G wireless communication technology and the power line carrier communication technology used alone can be made up; at the same time, in the process of channel selection, the cumulative distribution value of the corresponding channel is calculated respectively to select the optimal channel for data transmission, which can ensure the reliability of data transmission and improve the data transmission efficiency.

[0015] Figure 3 The present application has the beneficial effects that: by connecting the dual-interface relay node with the power line interface and the wireless interface respectively, forming the power line channel and the wireless channel, combining the power line carrier communication technology and the 5G wireless communication technology, the defects of the 5G wireless communication technology and the power line carrier communication technology used alone can be made up; at the same time, in the process of channel selection, the cumulative distribution value of the corresponding channel is calculated respectively to select the optimal channel for data transmission, which can ensure the reliability of data transmission and improve the data transmission efficiency. DETAILED DESCRIPTION

[0016] To explain the technical content, purposes and effects of the present application in detail, the following will be described in conjunction with the embodiments and the accompanying drawings.

[0017] Please refer to Figure 1 A 5G wireless communication and power line carrier combined data transmission method, comprising a dual-interface relay node, the dual-interface relay node is connected with a power line interface and a wireless interface respectively, forming a power line channel and a wireless channel, the dual-interface relay node performs the following steps:

[0018] Obtaining first channel data of the power line channel, and processing the first channel data according to a preset noise model to obtain a first cumulative distribution value of the received signal-to-noise ratio of the power line channel;

[0019] The second channel data of the wireless channel is acquired, and the second channel data is processed according to a preset channel fading model to obtain the second cumulative distribution value of the received signal-to-noise ratio of the wireless channel.

[0020] Compare the first cumulative distribution value with the second cumulative distribution value, and select the channel with the higher value as the target channel for data transmission.

[0021] As can be seen from the above description, the beneficial effects of the present invention are as follows: by connecting the dual-interface relay node to the power line interface and the wireless interface respectively to form a power line channel and a wireless channel, the power line carrier communication technology and 5G wireless communication technology are combined, which can make up for the defects of 5G wireless communication technology and power line carrier communication technology when used alone; at the same time, in the process of channel selection, by calculating the cumulative distribution value of the corresponding channel to select the optimal channel for data transmission, the reliability of data transmission and the efficiency of data transmission can be ensured.

[0022] Furthermore, the noise model includes:

[0023] z l =n G +n B ×n I ;

[0024] Among them, z l Let n be the noise received through the l-th layer sub-channel, where 1 ≤ l ≤ L; G and n I Let n be a Gaussian random variable with zero mean and zero variance. B Let p be a Bernoulli random sequence.

[0025] As described above, by introducing Gaussian random variables, the combined effects of independent thermal noise and impulse noise on the power line subchannel can be effectively simulated, thereby improving the accuracy of signal performance evaluation.

[0026] Further, the step of processing the first channel data according to a preset noise model to obtain the first cumulative distribution value of the received signal-to-noise ratio of the power line channel includes:

[0027] The noise variance is obtained based on the noise model.

[0028] The first channel data includes channel gain;

[0029] The received signal-to-noise ratio of the power line channel is calculated based on the channel gain and noise variance.

[0030] Based on the characteristics of the channel gain, the first probability density function corresponding to the channel gain is obtained;

[0031] According to the first probability density function, a second probability density function corresponding to the received signal-to-noise ratio is obtained;

[0032] According to the second probability density function, the first cumulative distribution value is calculated.

[0033] From the above description, the received signal-to-noise ratio of the power line channel is calculated by the channel gain and the noise variance, and then the first probability density function and the second probability density function are calculated in turn, so as to calculate the accurate first cumulative distribution value according to the second probability density function.

[0034] Further, the received signal-to-noise ratio of the power line channel is calculated according to the channel gain and the noise variance, including:

[0035]

[0036] wherein h l is the channel gain of the lth layer subchannel; is the noise variance of the lth layer subchannel; γ SR,p is the received signal-to-noise ratio.

[0037] From the above description, the received signal-to-noise ratio can be accurately obtained based on the ratio of the channel gain and the noise variance.

[0038] Further, the first probability density function corresponding to the channel gain is obtained according to the characteristics of the channel gain, including:

[0039]

[0040] wherein, is the square of the channel gain of the lth layer subchannel, which is subject to a lognormal distribution, and the mean value is 2μ=μ γ , and the variance is σ 2 =σ 2 γ .

[0041] From the above description, the probability density function of the accurate channel gain can be obtained by analyzing the characteristics of the lognormal function.

[0042] Further, the second probability density function corresponding to the received signal-to-noise ratio is obtained according to the first probability density function, including:

[0043]

[0044] wherein γ p is the transmitted signal-to-noise ratio of the lth layer subchannel; λ=(ln10 / 10); a0, a1, a2 are arbitrary constants.

[0045] As can be seen from the above description, the received signal-to-noise ratio based on the power line channel obeys the characteristic of lognormal distribution, and the second probability density function of the received signal-to-noise ratio can be approximately calculated by using the characteristic.

[0046] Further, the first cumulative distribution value is calculated according to the second probability density function, and the calculation comprises:

[0047]

[0048] wherein, Φ(x) is a Gaussian function with zero mean and unit variance, F γSR,p (x) is the first cumulative distribution value, and t represents a calculation parameter.

[0049] As can be seen from the above description, the calculation combined with the Gaussian function with zero mean and unit variance can obtain the accurate first cumulative distribution value.

[0050] Further, the second cumulative distribution value of the received signal-to-noise ratio of the wireless channel is calculated according to the preset channel fading model and the second channel data, and the calculation comprises:

[0051] The third probability density function of the wireless channel gain is calculated by taking the Nakagami-m model as the channel fading model;

[0052] The second channel data comprises channel noise.

[0053] The fourth probability density function corresponding to the received signal-to-noise ratio of the wireless channel is calculated according to the channel noise and the third probability density function:

[0054]

[0055] wherein, f γSR,w (x) is the fourth probability density function; m represents a fading parameter of the Nakagami-m model; Ω is average power; x is a random process; γ w is the transmitted signal-to-noise ratio; Γ(m) represents a gamma function.

[0056] The second cumulative distribution value is calculated according to the fourth probability density function:

[0057]

[0058] wherein, F γSR,w (x) is the second cumulative distribution value, and t represents a calculation parameter.

[0059] As described above, the Nakagami-m model can effectively simulate the changes in channel fading. By combining the channel noise, the third probability density function of the wireless channel gain and the fourth probability density function corresponding to the received signal-to-noise ratio are calculated in sequence, and the accurate second cumulative distribution value is obtained based on the fourth probability density function.

[0060] Please refer to Figure 3 Another embodiment of the present invention provides an apparatus for 5G wireless communication and power line carrier combined data transmission, including a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the various steps of the 5G wireless communication and power line carrier combined data transmission method described above.

[0061] The method and apparatus for joint data transmission of 5G wireless communication and power line carrier provided by this invention can be applied to data communication scenarios. The following is a detailed description of the specific implementation methods:

[0062] Example 1

[0063] Please refer to Figure 1 as well as Figure 2 A method for joint data transmission of 5G wireless communication and power line carrier, such as... Figure 1 As shown, it includes a dual-interface relay node, which is connected to the power line interface and the wireless interface respectively to form a power line channel and a wireless channel; wherein, the power line interface is connected to multiple power lines, and each power line has multiple sub-channels; the wireless channel is a 5G wireless channel; the power line communication uses the MAC algorithm of IEEE 1901[9]; the 5G wireless communication uses the MAC algorithm of CSMA / CA; the dual-interface relay node performs the following steps:

[0064] S1. Acquire the first channel data of the power line channel, and process the first channel data according to the preset noise model to obtain the first cumulative distribution value of the received signal-to-noise ratio of the power line channel. The specific processing method is as follows:

[0065] S11. Assume the power line system has L layers of sub-channels, with z l (1≤l≤L) represents the noise received through the l-th layer sub-channel; the power line sub-channel is affected by a mixture of independent thermal noise and impulse noise. The noise model of the power line carrier channel can be a Bernoulli-Gaussian model, i.e.:

[0066] z l =n G +n B ×n I ;

[0067] Where, n Gand n I are Gaussian random variables with mean and variance 0, respectively, n B is a Bernoulli random sequence with parameter p.

[0068] S12, obtaining noise variance according to the noise model:

[0069] Suppose that L sub-channels are mutually independent, the noise in the sub-channels is independent and identical, therefore the variance of the power line channel noise can be expressed as:

[0070]

[0071] S13, calculating the received signal-to-noise ratio of the power line channel according to the channel gain and the noise variance:

[0072] Define h l as the channel gain of the lth layer sub-channel, w l as the weight of the lth sub-channel, then the received signal-to-noise ratio γ SR,p of the power line system channel is expressed as:

[0073]

[0074] Since the weight w l is proportional to the channel gain h l , without loss of generality, define w l =c×h l , where c is any constant not equal to 0, the above signal-to-noise ratio can be simplified as:

[0075]

[0076] S14, obtaining the first probability density function corresponding to the channel gain according to the characteristics of the channel gain:

[0077] Since the characteristics of the lognormal function, obeys the lognormal distribution, the mean is 2μ, and the variance is σ 2 . Define 2μ=μ γ , σ 2 =σ 2 γ , then the PDF (probability density function) of is obtained:

[0078]

[0079] S15, obtaining the second probability density function corresponding to the received signal-to-noise ratio according to the first probability density function:

[0080] The received signal-to-noise ratio of the power line channel obeys a lognormal distribution, and the PDF of γ SR,p is approximated as follows according to this law:

[0081]

[0082] where γ p is the transmitted signal-to-noise ratio of the lth subchannel; λ=(ln10 / 10); a0, a1, a2 are arbitrary constants.

[0083] S16, calculate the first cumulative distribution value according to the second probability density function:

[0084] The CDF (Cumulative Distribution Function, cumulative distribution function, which refers to the cumulative distribution of the maximum rate of information that can be transmitted by the channel under a given channel condition; in a communication system, channel capacity is an important performance indicator, which is used to describe the transmission ability and effect of the channel) of γ SR,p is obtained according to the above formula:

[0085]

[0086] where Φ(x) is a Gaussian function with zero mean and unit variance, F γSR,p (x) is the first cumulative distribution value, and t represents a calculation parameter.

[0087] S2, obtain the second channel data of the wireless channel, and process the second channel data according to a preset channel fading model to obtain a second cumulative distribution value of the received signal-to-noise ratio of the wireless channel, specifically:

[0088] S21, calculate the third probability density function of the wireless channel gain by taking the Nakagami-m model as the channel fading model:

[0089] In actual Internet of Things distribution, the statistical characteristics of 5G wireless communication generally adopt the Nakagami-m model; wherein the fading parameter of the model is: m=[E 2 (x 2 ) / σ(x 2 )], the average power Ω=E(x 2 ), x is a random process; E(·) is a statistical expectation operator, σ 2 (·) is a statistical variance operator;

[0090] The PDF of the wireless channel gain h w is calculated based on the gamma function as a calculation tool:

[0091] where the gamma function is:

[0092]

[0093] Wireless channel gain h w The PDF of h is:

[0094]

[0095] S22, obtaining a fourth probability density function corresponding to the received signal-to-noise ratio of the wireless channel according to the channel noise and the third probability density function:

[0096] Definition of the transmission signal-to-noise ratio of the 5G wireless channel Where σ 2 w is the variance of the 5G wireless channel noise, and the fourth probability density function is obtained as: According to the above formula, the PDF of the received signal-to-noise ratio of the 5G wireless channel relay is derived as:

[0097]

[0098] S23, calculating a second cumulative distribution value according to the fourth probability density function;

[0099] In addition, because:

[0100]

[0101] Where the definition of the function Y(a, x) is:

[0102]

[0103] Where a represents another variable in the multivariate function Y;

[0104] Then, combining the above formulas, the CDF of the received signal-to-noise ratio of the 5G wireless channel is obtained as:

[0105]

[0106] S3, comparing the size of the first cumulative distribution value and the second cumulative distribution value, and selecting the channel with a high value as the target channel for data transmission; that is, the relay node compares the CDF of the received signal-to-noise ratio of the power line channel and the CDF of the received signal-to-noise ratio of the 5G wireless channel, and selects the channel with a high value of the CDF of the received signal-to-noise ratio for data transmission.

[0107] Meanwhile, a method for switching a link of the dual-interface relay node is designed; in an initial running stage, the relay node estimates a current initial transmission channel bandwidth, compares a predicted 5G wireless channel bandwidth with a power line channel bandwidth, and determines an initial transmission channel of the current node; subsequently, if the initial transmission channel of the current node is the same as the optimal transmission channel obtained by comparison and calculation in the above step, no channel switching is performed; if the initial transmission channel of the current node is different from the optimal transmission channel obtained by comparison and calculation in the above step, channel switching is performed.

[0108] To verify the feasibility of the method, a comparative method is used to verify the feasibility of the device for optimizing transmission performance: it is assumed that the sensor node is always saturated, that is, the node always has a data packet to send; MATLAB and other simulation software are used to simulate the scheme of using the relay node to select the optimal channel for data transmission, and the scheme of using a single channel for data transmission by the sensor node, with the same irrelevant variables being controlled; it is found that the throughput and error rate of the scheme of using the relay node to select the optimal channel for data transmission are obviously higher than those of the scheme of using a single channel for data transmission; thus, it can be concluded that the above method and the device corresponding to the method can effectively optimize the data transmission performance.

[0109] Embodiment two

[0110] Please refer to Figure 3 A device for 5G wireless communication and power line carrier joint data transmission, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements each step of a 5G wireless communication and power line carrier joint data transmission method as described in embodiment one when executing the computer program.

[0111] In summary, the method and device for 5G wireless communication and power line carrier joint data transmission provided by the present application can combine power line carrier communication technology and 5G wireless communication technology by connecting the dual-interface relay node with the power line interface and the wireless interface respectively to form a power line channel and a wireless channel, thereby making up for the defects of 5G wireless communication technology and power line carrier communication technology when used alone; meanwhile, the data transmission problem is modeled as a dual-interface link selection problem of a relay node, and in the process of channel selection, the optimal channel for data transmission is selected by calculating the cumulative distribution value of the corresponding channel, so that the relay node can select and switch to the optimal link for data transmission, thereby ensuring the reliability of data transmission and improving the data transmission efficiency.

[0112] The above description is only an embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent transformation or direct or indirect application in the related technical field based on the content of the specification and drawings of the present application is also included in the patent protection scope of the present application.

Claims

1. A method for joint data transmission of 5G wireless communication and power line carrier, characterized in that, The system includes a dual-interface relay node, which is connected to both a power line interface and a wireless interface to form a power line channel and a wireless channel. The dual-interface relay node performs the following steps: First channel data of the power line channel is acquired, and the first channel data is processed according to a preset noise model to obtain the first cumulative distribution value of the received signal-to-noise ratio of the power line channel. The second channel data of the wireless channel is acquired, and the second channel data is processed according to a preset channel fading model to obtain the second cumulative distribution value of the received signal-to-noise ratio of the wireless channel. Compare the first cumulative distribution value with the second cumulative distribution value, and select the channel with the higher value as the target channel for data transmission; The noise model includes: ； Among them, z l Let n be the noise received through the l-th layer sub-channel, where 1 ≤ l ≤ L; G and n I Let n be a Gaussian random variable with zero mean and zero variance. B Let p be a Bernoulli random sequence; The step of processing the first channel data according to a preset noise model to obtain the first cumulative distribution value of the received signal-to-noise ratio of the power line channel includes: The noise variance is obtained based on the noise model. The first channel data includes channel gain; The received signal-to-noise ratio of the power line channel is calculated based on the channel gain and noise variance. Based on the characteristics of the channel gain, the first probability density function corresponding to the channel gain is obtained; The second probability density function corresponding to the received signal-to-noise ratio is obtained based on the first probability density function; The first cumulative distribution value is calculated based on the second probability density function; The step of obtaining the first probability density function corresponding to the channel gain based on the characteristics of the channel gain includes: ； in, The square of the channel gain of the l-th sub-channel follows a log-normal distribution with a mean of 2μ = μ γ The variance is σ 2 =σ 2 γ ; The step of obtaining the second probability density function corresponding to the received signal-to-noise ratio based on the first probability density function includes: ； Where, γ p It is the transmit signal-to-noise ratio of the l-th sub-channel; λ = (ln10 / 10); a0, a1, and a2 are arbitrary constants; The calculation of the first cumulative distribution value based on the second probability density function includes: ； ； in, It is a Gaussian function with zero mean and unit variance. Let t be the first cumulative distribution value, and t represent the calculation parameter. The step of processing the second channel data according to a preset channel fading model to obtain the second cumulative distribution value of the received signal-to-noise ratio of the wireless channel includes: The Nakagami-m model is used as the third probability density function for calculating the wireless channel gain in the channel fading model. The second channel data includes channel noise; The fourth probability density function corresponding to the received signal-to-noise ratio of the wireless channel is obtained based on the channel noise and the third probability density function. The second cumulative distribution value is calculated based on the fourth probability density function; The step of obtaining the fourth probability density function corresponding to the received signal-to-noise ratio of the wireless channel based on the channel noise and the third probability density function includes: ； in, Ω represents the fourth probability density function; m represents the fading parameters of the Nakagami-m model; Ω represents the average power; x represents a stochastic process. Transmitted signal-to-noise ratio; Represents the gamma function; The calculation of the second cumulative distribution value based on the fourth probability density function includes: ； in, t represents the second cumulative distribution value, and t represents the calculation parameter.

2. The method for joint data transmission of 5G wireless communication and power line carrier according to claim 1, characterized in that, The calculation of the received signal-to-noise ratio of the power line channel based on the channel gain and noise variance includes: ； Among them, h l Let be the channel gain of the l-th layer sub-channel; Let be the noise variance of the l-th sub-channel; For received signal-to-noise ratio.

3. An apparatus for combined 5G wireless communication and power line carrier data transmission, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements each step of the method for 5G wireless communication and power line carrier combined data transmission as described in any one of claims 1-2.

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