Method and device for joint data transmission of 5G wireless communication and power line carrier

Abstract

The invention discloses a 5G wireless communication and power line carrier combined data transmission method and device, and the device comprises a dual-interface relay node which is connected with a power line interface and a wireless interface, so as to form a power line channel and a wireless channel. The dual-interface relay node executes the following steps: acquiring first channel data of a power line channel, and processing the first channel data according to a preset noise model to obtain a first cumulative distribution value of a received signal-to-noise ratio of the power line channel; acquiring 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 a received signal-to-noise ratio of the wireless channel; and comparing the first cumulative distribution value with the second cumulative distribution value, and selecting a channel with a higher 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 invention relates to the field of communication technologies, and in particular to a method and device for 5G wireless communication and power line carrier combined data transmission. Background Art

[0002] With the development of smart distribution networks, more and more automation equipment and power terminal equipment are connected to the power grid. These devices generate a large number of services, and these services often have high requirements for the latency and reliability of data transmission. The existing information communication system includes a variety of communication methods, including wireless communication technologies such as micro-power wireless and 5G, as well as wired communication technologies such as power line carrier. However, for the current smart distribution network, the environment involved is complex, the equipment types are diverse, and different power users have different business requirements for the communication system. A single communication technology can no longer fully meet the communication needs of differentiated power services.

[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 is likely to 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 no attenuation of transmission signals due to obstacles. However, since power lines are not dedicated communication lines, they have strong line noise interference and serious attenuation of high-frequency signals. Its performance is difficult to meet the real-time and reliability requirements of smart distribution networks for information transmission. Summary of the invention

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

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

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

[0007] Acquire 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 a received signal-to-noise ratio of the power line channel;

[0008] Acquire 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 a received signal-to-noise ratio of the wireless channel;

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

[0010] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0011] A device for 5G wireless communication and power line carrier joint data transmission, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step in the above-mentioned 5G wireless communication and power line carrier joint data transmission method is implemented.

[0012] 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 the 5G wireless communication technology are combined, which can make up for the defects of the 5G wireless communication technology and the power line carrier communication technology when used alone; at the same time, in the process of channel selection, the optimal channel is selected for data transmission by calculating the cumulative distribution values ​​of the corresponding channels respectively, which can ensure the reliability of data transmission and improve data transmission efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A schematic diagram of node connection in a method for joint data transmission of 5G wireless communication and power line carrier in an embodiment of the present invention;

[0014] Figure 2 This is a flowchart of the steps of a method for 5G wireless communication and power line carrier joint data transmission in an embodiment of the present invention;

[0015] Figure 3 This is a schematic diagram of the structure of a device for joint data transmission of 5G wireless communication and power line carrier in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in combination with the implementation modes and the accompanying drawings.

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

[0018] Acquire 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 a received signal-to-noise ratio of the power line channel;

[0019] Acquire 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 a received signal-to-noise ratio of the wireless channel;

[0020] The first cumulative distribution value is compared with the second cumulative distribution value, and the channel with the higher value is selected as the target channel for data transmission.

[0021] From the above description, it can be seen that the beneficial effects of the present invention are: 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 the 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 values ​​of the corresponding channels respectively and selecting the optimal channel for data transmission, the reliability of data transmission can be ensured and the efficiency of data transmission can be improved.

[0022] Furthermore, the noise model includes:

[0023] z l =n G +n B ×n I ;

[0024] Among them, z l is the noise received through the l-th layer subchannel, 1≤l≤L; n G and n I are Gaussian random variables with zero mean and variance, n B is a Bernoulli random sequence with parameter p.

[0025] From the above description, it can be seen that by introducing Gaussian random variables, it is possible to effectively simulate the mixed influence of independent thermal noise and impulse noise on the power line sub-channel, thereby improving the accuracy of signal performance evaluation.

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

[0027] Obtaining a noise variance according to the noise model;

[0028] The first channel data includes channel gain;

[0029] Calculating a receiving signal-to-noise ratio of the power line channel according to the channel gain and the noise variance;

[0030] Obtaining a first probability density function corresponding to the channel gain according to the characteristics of the channel gain;

[0031] Obtaining a second probability density function corresponding to the received signal-to-noise ratio according to the first probability density function;

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

[0033] From the above description, it can be seen that after the received signal-to-noise ratio of the power line channel is calculated by channel gain and noise variance, the first probability density function and the second probability density function are calculated in sequence, so as to obtain the accurate first cumulative distribution value according to the second probability density function.

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

[0035]

[0036] Among them, h l is the channel gain of the l-th layer subchannel; is the noise variance of the l-th layer subchannel; γ SR,p is the receive signal-to-noise ratio.

[0037] It can be seen from the above description that the received signal-to-noise ratio can be accurately obtained based on the ratio of the channel gain to the noise variance.

[0038] Further, obtaining a first probability density function corresponding to the channel gain according to the characteristic of the channel gain includes:

[0039]

[0040] in, is the square of the channel gain of the l-th layer subchannel, which obeys the logarithmic normal distribution with a mean of 2μ = μ γ , with variance σ 2 =σ 2 γ .

[0041] It can be seen from the above description that by analyzing the characteristics of the log-normal function, an accurate probability density function of the channel gain can be obtained.

[0042] Further, obtaining a second probability density function corresponding to the received signal-to-noise ratio according to the first probability density function includes:

[0043]

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

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

[0046] Further, calculating the first cumulative distribution value according to the second probability density function includes:

[0047]

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

[0049] It can be seen from the above description that by performing calculations in combination with a Gaussian function having a zero mean and a unit variance, an accurate first cumulative distribution value can be obtained.

[0050] Further, the processing the second channel data according to a preset channel fading model to obtain a second cumulative distribution value of a received signal-to-noise ratio of the wireless channel includes:

[0051] Calculating a third probability density function of the wireless channel gain using the Nakagami-m model as the channel fading model;

[0052] The second channel data includes channel noise;

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

[0054]

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

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

[0057]

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

[0059] From the above description, it can be seen that the Nakagami-m model can effectively simulate the changes in channel fading, and calculate the third probability density function of the wireless channel gain and the fourth probability density function corresponding to the received signal-to-noise ratio in combination with the channel noise, thereby obtaining an accurate second cumulative distribution value based on the fourth probability density function.

[0060] Please refer to Figure 3 Another embodiment of the present invention provides a device for 5G wireless communication and power line carrier joint data transmission, including 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, each step in the above-mentioned 5G wireless communication and power line carrier joint data transmission method is implemented.

[0061] The method and device for 5G wireless communication and power line carrier joint data transmission provided by the present invention can be applied to data communication scenarios, and are described below through specific implementation methods:

[0062] Embodiment 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 a power line interface and a 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 layers of sub-channels; the wireless channel is a 5G wireless channel; the power line communication adopts the MAC algorithm of IEEE 1901[9] to operate; the 5G wireless communication adopts the MAC algorithm of CSMA / CA to operate; the dual-interface relay node performs the following steps:

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

[0065] S11. Assume that 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 subchannel; the power line subchannel is affected by the mixture of independent thermal noise and impulse noise. The noise model of the power line carrier channel can adopt the Bernoulli-Gaussian model, that is:

[0066] z l =n G +n B ×n I ;

[0067] Among them, n Gand n I are Gaussian random variables with zero mean and variance, n B is a Bernoulli random sequence with parameter p.

[0068] S12. Obtain the noise variance according to the noise model:

[0069] Assuming that the L sub-channels do not interfere with each other, the noise in the sub-channels is independent and the same, so the variance of the power line channel noise is It can be expressed as:

[0070]

[0071] S13. Calculate the receiving signal-to-noise ratio of the power line channel according to the channel gain and the noise variance:

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

[0073]

[0074] Since the weight w l With channel gain h l Proportional to each other, so without loss of generality, we define w l =c×h l , where c is an arbitrary constant not equal to 0, the above signal-to-noise ratio can be simplified to:

[0075]

[0076] S14. According to the characteristics of the channel gain, a first probability density function corresponding to the channel gain is obtained:

[0077] Due to the characteristics of the lognormal function, It follows a log-normal distribution with a mean of 2μ and a variance of σ 2 . Define 2μ=μ γ , σ 2 =σ 2 γ , then we get PDF (probability density function):

[0078]

[0079] S15. Obtain a 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 the log-normal distribution. According to this law, γ SR,p The PDF of is approximately:

[0081]

[0082] Among them, γ p is the transmit signal-to-noise ratio of the layer l 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] According to the above formula, we can get γ SR,p CDF (Cumulative Distribution Function, refers to the cumulative distribution of the maximum rate at which a channel can transmit information under given channel conditions; channel capacity is an important performance indicator in communication systems, used to describe the transmission capacity and effect of a channel):

[0085]

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

[0087] S2. Acquire 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 a received signal-to-noise ratio of the wireless channel, specifically:

[0088] S21. Calculate the third probability density function of the wireless channel gain using the Nakagami-m model as the channel fading model:

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

[0090] Calculate the wireless channel gain h based on the gamma function as a calculation tool w PDF:

[0091] The gamma function is:

[0092]

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

[0094]

[0095] S22. Obtain 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] Defining the transmit signal-to-noise ratio of 5G wireless channels where σ 2 w is the variance of 5G wireless channel noise, and we get According to the above formula, the PDF of the signal-to-noise ratio received at the relay of the 5G wireless channel can be derived as:

[0097]

[0098] S23. Calculate a second cumulative distribution value according to a fourth probability density function;

[0099] In addition, due to:

[0100]

[0101] The definition of the Υ(α, x) function is:

[0102]

[0103] Among them, α represents another variable in the multivariate function Υ;

[0104] Combining the above formulas, we can get the CDF of the received signal-to-noise ratio of the 5G wireless channel:

[0105]

[0106] S3. Compare the first cumulative distribution value with the second cumulative distribution value, and select the channel with a higher 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 with the CDF of the received signal-to-noise ratio of the 5G wireless channel, and selects the channel with a higher CDF value of the received signal-to-noise ratio for data transmission.

[0107] At the same time, a method for switching links of dual-interface relay nodes is designed; in the initial operation stage, the relay node estimates the current initial transmission channel bandwidth, compares the predicted 5G wireless channel bandwidth and power line channel bandwidth, and determines the initial transmission channel of the current node; then, if the initial transmission channel of the current node is the same as the optimal transmission channel calculated and compared in the above steps, channel switching is not performed; if the initial transmission channel of the current node is different from the optimal transmission channel calculated and compared in the above steps, channel switching is performed.

[0108] In order to verify the feasibility of this implementation method, a comparative comparison method is used to verify the feasibility of the proposed device in optimizing transmission performance: assuming that the sensor node is always saturated, that is, the node always has data packets to send; using simulation software such as MATLAB, the scheme of using relay nodes to preferentially select channels for data transmission and the scheme of sensor nodes using a single channel to transmit data are simulated respectively, and irrelevant variables are controlled to be the same; it can be obtained that the throughput and error rate of using relay nodes to preferentially select channels for data transmission are significantly higher than those of the scheme of using a single channel for data transmission; it can be concluded that the above method and the device corresponding to the method can effectively optimize data transmission performance.

[0109] Embodiment 2

[0110] Please refer to Figure 3 , a device for 5G wireless communication and power line carrier joint data transmission, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step in a 5G wireless communication and power line carrier joint data transmission method as described in Example 1 is implemented.

[0111] In summary, the present invention provides a method and device for joint data transmission of 5G wireless communication and power line carrier, which connects 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, and combines the power line carrier communication technology with the 5G wireless communication technology, thereby making up for the defects of the 5G wireless communication technology and the power line carrier communication technology when used alone; at the same time, the data transmission problem is modeled as a relay node dual-interface link selection problem, and in the process of channel selection, the optimal channel is selected for data transmission by respectively calculating the cumulative distribution values ​​of the corresponding channels, 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 data transmission efficiency.

[0112] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for 5G wireless communication and power line carrier combined data transmission, characterized in that: The invention comprises a dual-interface relay node, wherein the dual-interface relay node is respectively connected to a power line interface and a wireless interface to form a power line channel and a wireless channel, and the dual-interface relay node performs the following steps: Acquire 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 a received signal-to-noise ratio of the power line channel; Acquire 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 a received signal-to-noise ratio of the wireless channel; The first cumulative distribution value is compared with the second cumulative distribution value, and the channel with the higher value is selected as the target channel for data transmission.

2. The method for 5G wireless communication and power line carrier combined data transmission according to claim 1, characterized in that: The noise model includes: z l =n G +n B ×n I ; Among them, z l is the noise received through the l-th layer subchannel, 1≤l≤L; n G and n I are Gaussian random variables with zero mean and variance, n B is a Bernoulli random sequence with parameter p.

3. The method of 5G wireless communication and power line carrier combined data transmission according to claim 2, characterized in that: The step of processing the first channel data according to a preset noise model to obtain a first cumulative distribution value of a received signal-to-noise ratio of the power line channel includes: Obtaining a noise variance according to the noise model; The first channel data includes channel gain; Calculating a receiving signal-to-noise ratio of the power line channel according to the channel gain and the noise variance; Obtaining a first probability density function corresponding to the channel gain according to the characteristics of the channel gain; Obtaining a second probability density function corresponding to the received signal-to-noise ratio according to the first probability density function; The first cumulative distribution value is calculated according to the second probability density function.

4. The method for 5G wireless communication and power line carrier combined data transmission according to claim 3 is characterized in that: The calculating the receiving signal-to-noise ratio of the power line channel according to the channel gain and the noise variance comprises: Among them, h l is the channel gain of the l-th layer subchannel; is the noise variance of the l-th layer subchannel; γ SR,p is the receive signal-to-noise ratio.

5. The method for 5G wireless communication and power line carrier combined data transmission according to claim 3, characterized in that: The obtaining, according to the characteristic of the channel gain, a first probability density function corresponding to the channel gain comprises: in, is the square of the channel gain of the l-th layer subchannel, which obeys the logarithmic normal distribution and has a mean of 2μ = μ γ , with variance σ 2 =σ 2 γ .

6. The method for 5G wireless communication and power line carrier combined data transmission according to claim 5, characterized in that: The obtaining, according to the first probability density function, a second probability density function corresponding to the received signal-to-noise ratio comprises: Among them, γ p is the transmit signal-to-noise ratio of the layer l subchannel; λ=(ln10 / 10); a0, a1, a2 are arbitrary constants.

7. The method of 5G wireless communication and power line carrier combined data transmission according to claim 6, characterized in that: The calculating the first cumulative distribution value according to the second probability density function comprises: where Φ(x) is a Gaussian function with zero mean and unit variance, and F γSR,p (x) is the first cumulative distribution value, and t represents the calculation parameter.

8. The method for 5G wireless communication and power line carrier combined data transmission according to claim 1, characterized in that: Processing the second channel data according to a preset channel fading model to obtain a second cumulative distribution value of a received signal-to-noise ratio of the wireless channel includes: Calculating a third probability density function of the wireless channel gain using the Nakagami-m model as the channel fading model; The second channel data includes channel noise; Obtaining a fourth probability density function corresponding to a received signal-to-noise ratio of the wireless channel according to the channel noise and the third probability density function; The second cumulative distribution value is calculated according to the fourth probability density function.

9. The method for 5G wireless communication and power line carrier combined data transmission according to claim 8, characterized in that: The fourth probability density function corresponding to the received signal-to-noise ratio of the wireless channel obtained according to the channel noise and the third probability density function includes: Among them, f γSR,w (x) is the fourth probability density function; m represents the fading parameter of the Nakagami-m model; Ω is the average power; x is a random process; γ w Transmitted signal-to-noise ratio; Γ(m) represents the gamma function; The calculating the second cumulative distribution value according to the fourth probability density function comprises: Among them, F γSR,w (x) is the second cumulative distribution value, and t represents the calculation parameter.

10. 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, characterized in that: When the processor executes the computer program, each step in the 5G wireless communication and power line carrier joint data transmission method as described in any one of claims 1-9 is implemented.

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