6G full-band full-scene universal large-scale fading channel modeling method

Abstract

The invention discloses a 6G full-band full-scene universal large-scale fading channel modeling method, which relates to the technical field of wireless communication, and comprises the following steps: step 1, representing the path loss of large-scale fading as the sum of basic loss, atmospheric fading loss, flicker loss, building penetration loss and rainfall fading, the shadow fading of large-scale fading is expressed as Gaussian distribution of a zero mean value; 2, calculating basic loss by adopting a double-slope model; 3, representing the atmospheric fading loss as the sum of the oxygen fading loss and the water vapor attenuation loss; 4, representing the scintillation loss as the sum of the ionosphere scintillation loss and the troposphere scintillation loss; 5, calculating the penetration loss of the building by adopting a double logarithmic normal distribution combination model; and step 6, calculating rainfall fading by adopting a Crane model. The large-scale fading modeling precision in the terahertz frequency band, the indoor scene and the unmanned aerial vehicle scene is higher than that of an existing standard model.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and in particular to a 6G full-band, all-scenario universal large-scale fading channel modeling method. Background Technology

[0002] Compared to fifth-generation (5G) mobile communication technology, sixth-generation (6G) mobile communication technology will introduce new frequency bands, new scenarios, and new technologies, leading to new channel characteristics. Therefore, in-depth research on 6G wireless channels is urgently needed. Large-scale fading research is a crucial topic in wireless communication. It can provide guidance for optimizing communication system design, establish accurate channel models for system performance evaluation and simulation, effectively plan wireless networks to improve coverage and user experience, optimize mobility management to improve user access and handover efficiency, and promote the improvement of wireless communication standards and protocols to adapt to evolving communication needs. However, current 5G standardization and 6G-oriented large-scale fading channel models are modeled separately for specific frequency bands and scenarios; there is currently no unified, universal large-scale fading channel model. Analyzing a universal 6G channel model allows us to study the complex mapping relationships between channel model parameters, large-scale fading, and communication system performance with frequency bands and scenarios. Furthermore, as a unified channel model framework, it is crucial for 6G channel model standardization, research on common 6G theoretical technologies, and the integrated construction of systems.

[0003] In 6G wireless communication systems, all frequency bands can be fully utilized, including sub-6GHz, millimeter wave (mmWave), terahertz (THz), and optical wireless bands. Millimeter wave and terahertz channels possess novel characteristics such as large bandwidth, high directivity, diffuse scattering, blocking effects, and atmospheric absorption. Visible light communication (VLC) channels do not exhibit small-scale fading (SSF) and possess wide spectrum and strong directivity. Achieving global coverage in 6G wireless communication systems requires consideration of satellite, unmanned aerial vehicle (UAV), and marine communications, in addition to terrestrial communications. In satellite communication systems, the most significant large-scale fading channel characteristics are losses due to atmospheric absorption and ionospheric scintillation. In UAV communications, the impact of UAV altitude and flight trajectory on large-scale fading must be considered. In marine communication channels, the vast ocean area lacks scatterers, and atmospheric waveguides caused by seawater evaporation necessitate consideration of waveguide effects and sea-level sparsity in large-scale fading. In terms of full application scenarios, vehicle-to-vehicle (V2V), high-speed train (HST), reconfigurable intelligent surface (RIS), integrated sensing and communication (ISAC), and industrial internet of things (IIoT) are important application scenarios for 6G mobile communication. RIS-based 6G wireless channels require comprehensive consideration of the combined effects of RIS design, transmitter-to-RIS channel, and RIS-to-receiver channel. In IIoT scenarios, the channel has abundant scatterers due to the presence of numerous moving mechanical devices, exhibiting characteristics such as dispersion and high mobility. In the integrated sensing and communication scenario, the transceiver is on the same side; electromagnetic waves originate from the transmitter, are reflected by the measured object or scatterer, and are received by the receiver. Therefore, the impact of the radar cross-section (RCS) of the sensed object on the channel needs to be considered. In V2V communication scenarios, both transceivers exhibit high mobility, and the channel is filled with scatterers; the impact of obstruction from other vehicles on large-scale fading needs to be considered. In HST scenarios, in addition to considering the impact of high-speed mobile receivers on large-scale fading, the impact of transceiver height during base station deployment also needs to be considered. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a universal large-scale fading channel modeling method for 6G full-band and full-scenario applications. The present invention can provide a general large-scale fading channel modeling method applicable to various frequency bands and scenarios, and can reflect the large-scale fading characteristics of each frequency band and scenario.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0006] A universal large-scale fading channel modeling method for 6G full-band, full-scenario applications proposed according to the present invention includes:

[0007] Based on the frequency band scenario, the path loss and shadowing loss of large-scale fading are calculated using channel model parameters; among them,

[0008] The path loss of large-scale fading is represented as the sum of basic loss, atmospheric fading loss, scintillation loss, building penetration loss, and rainfall fading loss. The shadow fading of large-scale fading is represented as a Gaussian distribution with zero mean.

[0009] As a further optimization scheme for the 6G full-band, full-scenario universal large-scale fading channel modeling method described in this invention, a dual-slope model is used to calculate the basic loss.

[0010] Atmospheric decay loss is expressed as the sum of oxygen decay loss and water vapor decay loss;

[0011] The scintillation loss is expressed as the sum of the ionospheric scintillation loss and the tropospheric scintillation loss;

[0012] The penetration loss of buildings is calculated using a double log-normal distribution combined model;

[0013] The Crane model was used to calculate rainfall fading loss.

[0014] This is a further optimization scheme for the 6G full-band, all-scenario universal large-scale fading channel modeling method described in this invention.

[0015] Path loss PL is represented as

[0016] PL = PL b +PL g +PL s +PL e +PL r

[0017] Among them, PL b For basic losses, PL g For atmospheric decay loss, PL s For flicker loss, PL e For building penetration loss, PL rThis is due to rainfall fading loss;

[0018] Shadow fading SF is represented as

[0019]

[0020] in, This indicates that the expression follows a pattern with a mean of 0 and a variance of . Gaussian distribution, This represents the variance of shadow fading.

[0021] As a further optimization of the 6G full-band, all-scenario universal large-scale fading channel modeling method described in this invention, the basic loss is expressed as:

[0022]

[0023] PL1 = A1·log 10 d 3D +B+C·log 10 f c +D·d 3D

[0024]

[0025] in, d represents the 2D turning distance. 3D This represents the 3D distance between the transceivers. This represents the 3D turning distance, where PL1 and PL2 represent the path loss before and after the turning point, respectively. c The center frequency, h BS The transmitter antenna height, h UT Indicates receiver height, A1 is the range correlation coefficient before the inflection point, A2 is the range correlation coefficient after the inflection point, B is the relative reference coefficient, C is the frequency correlation coefficient, D is the linear range correlation coefficient, E is the inflection point scaling factor, h E For the environment's altitude above the ground, The distance before the turning point is Path loss.

[0026] As a further optimization scheme for the 6G full-band, all-scenario universal large-scale fading channel modeling method described in this invention, atmospheric fading loss PL g for

[0027] PL g =PL o +PL w

[0028] Among them, PL o For oxygen decay loss, PL wThis is due to water vapor attenuation loss.

[0029] As a further optimization scheme for the 6G full-band, all-scenario universal large-scale fading channel modeling method described in this invention, scintillation loss PL s Represented as

[0030] PL s =PL is +PL ts

[0031] Among them, PL is For ionospheric scintillation loss, PL ts This is for tropospheric scintillation loss.

[0032] As a further optimization scheme for the 6G full-band, all-scenario universal large-scale fading channel modeling method described in this invention, building penetration loss PL e Represented as

[0033]

[0034] Among them, PL e Let N1(P) and N2(P) represent the building penetration loss not exceeding probability P, where N1(P) and N2(P) are normally distributed variables, and N3 is a constant.

[0035] N1(P)=F -1 (P)σ1+μ1

[0036] N2(P)=F -1 (P)σ²+μ²

[0037] N3 = -3.0

[0038] The mean and standard deviation μ1,σ1,μ2,σ2 of two normal distributions are expressed as follows:

[0039] μ1=L h +L e

[0040] μ2=w+xlog(f c )

[0041] σ1=u+νlog(f c )

[0042] σ²=y+zlog(f) c )

[0043] Among them, f c L represents the center frequency. h L represents the median loss along the horizontal path. e The correction for the path elevation angle on the building facade is represented as:

[0044] Lh =r+slog(f c )+t(log(f c )) 2

[0045] L e =0.212|φ|

[0046] Where φ is the path elevation angle on the building facade, and F -1 (P) is the inverse cumulative normal distribution of the probability function, where w, x, u, v, y, z, r, s, and t are all coefficients. The values ​​of w, x, u, v, y, z, r, s, and t are given in Table 1 of the ITU-RP.2109 document.

[0047] As a further optimization of the 6G full-band, all-scenario universal large-scale fading channel modeling method described in this invention, rainfall fading loss is expressed as...

[0048]

[0049] Where a is the rainfall attenuation coefficient, R is the rainfall rate, b is the rainfall attenuation index, and h R θ represents the height of the rainfall, and θ represents the angle of elevation.

[0050] As a further optimization scheme for the 6G full-band, all-scenario universal large-scale fading channel modeling method described in this invention, oxygen fading loss PL o and water vapor attenuation loss PL w Represented as

[0051]

[0052] Where, p s For instantaneous dry surface pressure, p s =P s -e s P s This represents the instantaneous total atmospheric surface pressure.

[0053] e s T represents the instantaneous partial pressure of water vapor at the Earth's surface. s The instantaneous surface temperature, γ is the instantaneous surface water vapor density, θ is the elevation angle, and γ is the inclination angle. o (f c ,p s ,T s ,e s ) represents the specific gas decay caused by oxygen, γ w (f c ,p s ,T s ,e sThe attenuation is due to water vapor relative to the gas. For oxygen equivalent altitude, h w (f c () represents the water vapor equivalent height.

[0054] As a further optimization scheme for the 6G full-band, all-scenario universal large-scale fading channel modeling method described in this invention, ionospheric scintillation loss PL is express:

[0055]

[0056] Among them, P fluc f represents the peak-to-peak ripple value of the received signal at a 4 GHz frequency. c For the center frequency, N H I is the number of path jumps. a For the absorption index, θ 100 For the angle of incidence at an altitude of 100km, f 100 It is the gyromagnetic frequency at an altitude of 100km.

[0057] Compared with the prior art, the present invention, employing the above technical solution, has the following technical effects:

[0058] (1) The 6G full-band full-scenario universal large-scale fading channel modeling method proposed in this invention provides a general large-scale fading channel modeling method applicable to various frequency bands and scenarios, which can reflect the large-scale fading characteristics of each frequency band and scenario.

[0059] (2) The 6G full-band, full-scenario universal large-scale fading channel modeling method proposed in this invention can be simplified into a specific large-scale fading channel model for a specific frequency band and scenario, including all frequency bands from shortwave to optical wireless frequency band, global coverage scenarios such as satellite, UAV and maritime communication channels, and complete application scenarios such as RIS, ISAC, IIoT, V2V and HST communication channels in 6G wireless communication systems.

[0060] (3) The 6G full-band, full-scenario universal large-scale fading channel modeling method proposed in this invention comprehensively considers various large-scale fading influencing factors and has smaller model error compared with the standard model in communication scenarios such as terahertz band, indoor scenarios, and UAV scenarios.

[0061] (4) In summary, the 6G full-band, full-scenario universal large-scale fading channel modeling method proposed in this invention can accurately model large-scale fading of the channel, providing a powerful tool for 6G network planning and network optimization. Attached Figure Description

[0062] Figure 1This is a schematic diagram of a 6G full-band, all-scenario universal large-scale fading channel modeling method provided in Embodiment 1 of the present invention;

[0063] Figure 2 This is a schematic diagram illustrating the variation of path loss with distance in an indoor scene in Embodiment 1 of the present invention;

[0064] Figure 3 This is a probability distribution diagram of shadow fading in an indoor scene in Embodiment 1 of the present invention;

[0065] Figure 4 This is a schematic diagram illustrating the variation of terahertz band path loss with distance in Embodiment 1 of the present invention;

[0066] Figure 5 This is a probability distribution diagram of terahertz band shadow fading in Embodiment 1 of the present invention;

[0067] Figure 6 This is a schematic diagram illustrating the variation of path loss as a function of distance in a drone scenario according to Embodiment 1 of the present invention;

[0068] Figure 7 The following is a probability distribution map of shadow fading in a drone scene in Embodiment 1 of the present invention; wherein, (a) is a probability distribution map of shadow fading when the drone is at a height of 50m, and (b) is a probability distribution map of shadow fading when the drone is at a height of 30m.

[0069] Figure 8 This is a flowchart of a 6G full-band, all-scenario universal large-scale fading channel modeling method according to the present invention. Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0071] Figure 1 This is a schematic diagram of a 6G full-band, all-scenario universal large-scale fading channel modeling method provided in Embodiment 1 of the present invention. Figure 8 As shown, a universal large-scale fading channel modeling method applicable to all 6G frequency bands and scenarios includes:

[0072] Step 1: Express the path loss of large-scale fading as the sum of basic loss, atmospheric fading loss, scintillation loss and building penetration loss, and express the shadow fading of large-scale fading as a Gaussian distribution with zero mean.

[0073] PL = PL b +PL g +PL s +PL e +PL r

[0074] Among them PL b For basic losses, PL g For atmospheric decay loss, PL s For flicker loss, PL e For building penetration loss, PL r This represents rainfall fading loss. Shadow fading SF is represented as...

[0075]

[0076] in This indicates that the expression follows a pattern with a mean of 0 and a variance of . Gaussian distribution, This represents the variance of shadow fading.

[0077] Step 2: Calculate the basic loss PL using a dual-slope model. b ;

[0078]

[0079] PL1 = A1·log 10 d 3D +B+C·log 10 f c +D·d 3D

[0080]

[0081] Among them, d represents the 2D turning distance (m). 3D This represents the 3D distance (m) between the transceivers. PL1 and PL2 represent the path loss before and after the turning point, respectively, representing the 3D turning distance (m). c h represents the center frequency (GHz). BS h represents the transmitter antenna height (m). UT This represents the receiver height (m). A1 is the distance correlation coefficient before the inflection point, A2 is the distance correlation coefficient after the inflection point, B is the relative reference coefficient, C is the frequency correlation coefficient, D is the linear distance correlation coefficient, E is the inflection point scaling factor, and h is the distance correlation coefficient after the inflection point. E This refers to the altitude of the environment above the ground.

[0082] Step 3: Express atmospheric decay loss as the sum of oxygen decay loss and water vapor decay loss;

[0083] PL g =PL o +PL w

[0084] Among them PL oFor oxygen decay loss, PL w This is due to water vapor attenuation loss.

[0085] Step 301, the formula for calculating oxygen decay is as follows:

[0086]

[0087] Where P s The instantaneous total atmospheric surface pressure (hPa) p represents the instantaneous surface water vapor partial pressure (hPa). s =P s -e s T represents the instantaneous dry surface pressure (hPa). s The instantaneous surface temperature (K) Instantaneous surface water vapor density (g / m³) 3 ), θ is the elevation angle, γ o The specific gas decay caused by oxygen (dB / km).

[0088] Step 302, the formula for calculating oxygen decay is as follows:

[0089]

[0090] Where γ w The specific gas decay caused by water vapor (dB / km).

[0091] Step 4: Express the scintillation loss as the sum of the ionospheric scintillation loss and the tropospheric scintillation loss;

[0092] PL s =PL is +PL ts

[0093] Among them PL is For ionospheric scintillation loss, PL ts This is for tropospheric scintillation loss.

[0094] Step 401, Ionospheric scintillation loss PL is It can be represented as

[0095]

[0096] Where P fluc f represents the peak-to-peak ripple value of the received signal at a 4 GHz frequency. c The center frequency is N. H I is the number of path jumps. a For the absorption index, θ 100 For the angle of incidence at an altitude of 100km, f 100 The gyromagnetic frequency (MHz) at an altitude of 100km.

[0097] Step 402: Using the 3GPP TR38.811 document Figure 6 6.6.1.4-1 Calculate the attenuation PL of tropospheric loss. ts .

[0098] Step 5: Calculate the building penetration loss using a double log-normal distribution combined model.

[0099]

[0100] Among them, PL e Let N1(P) and N2(P) represent the building penetration loss not exceeding probability P, where N1(P) and N2(P) are normally distributed variables, and N3 is a constant.

[0101] N1(P)=F +1 (P)σ1+μ1

[0102] N2(P)=F -1 (P)σ²+μ²

[0103] N3 = -3.0

[0104] The mean and standard deviations μ1, σ1, μ2, σ2 of normal distributions N1(P) and N2(P) can be expressed as:

[0105] μ1=L h +L e

[0106] μ2=w+xlog(f c )

[0107] σ1=u+vlog(f c )

[0108] σ²=y+zlog(f) c )

[0109] Where L h L represents the median loss along the horizontal path. e The correction for the path elevation angle on the building facade can be expressed as:

[0110] L h =r+slog(f c )+t(log(f c )) 2

[0111] L e =0.212|φ|

[0112] Where φ is the path elevation angle on the building facade, F -1(P) is the inverse cumulative normal distribution of the probability function, and the values ​​of the coefficients w,x,u,v,y,z,r,s,t are given in Table 1 of the ITU-R P.2109 document.

[0113] Step 6, Rainfall fading loss is expressed as

[0114]

[0115] Where a is the rainfall attenuation coefficient, R is the rainfall rate, b is the rainfall attenuation index, and h R θ represents the height of the rainfall, and θ represents the angle of elevation.

[0116] Step 6: Calculate the large-scale fading channel model using the model parameter table, which is divided into the LoS parameter table (as shown in Table 1, Table 1 is the LoS parameter table) and the NLoS parameter table (as shown in Table 2, Table 2 is the NLoS parameter table).

[0117]

[0118]

[0119] Table 1

[0120]

[0121]

[0122] Table 2

[0123] like Figure 2 , Figure 3 As shown, path loss in indoor scenarios increases with distance and frequency, while shadow fading generally follows a Gaussian distribution with a mean of 0. In indoor scenarios, the proposed 6G full-band, all-scenario universal large-scale fading channel modeling method achieves a root mean square error (RMSE) of 2.65, a 42.9% improvement compared to the 4.64 of the 3GPP model. This indicates that the proposed 6G full-band, all-scenario universal large-scale fading channel model can effectively predict the large-scale fading characteristics in indoor scenarios.

[0124] like Figure 4 , Figure 5As shown, path loss in the terahertz band increases with distance and frequency, and shadow fading generally follows a Gaussian distribution with a mean of 0. In the terahertz band, the proposed 6G full-band, all-scenario universal large-scale fading channel modeling method achieves an RMSE of 2.89, an improvement of 18.6% compared to the 3GPP model's 3.55. This indicates that the proposed 6G full-band, all-scenario universal large-scale fading channel model can effectively predict the large-scale fading characteristics of the terahertz band.

[0125] like Figure 6 , Figure 7 As shown, Figure 7 (a) in the figure is the probability distribution of shadow fading when the UAV is at an altitude of 50m. Figure 7 Figure (b) shows the probability distribution of shadow fading at a drone altitude of 30m. In the drone scenario, at both altitudes, path loss increases with distance and frequency, and shadow fading generally follows a Gaussian distribution with a mean of 0. In the drone scenario, the proposed 6G full-band, all-scenario universal large-scale fading channel modeling method achieves an RMSE of 4.13, a 57.9% improvement compared to the 9.81 of the 3GPP model. This indicates that the proposed 6G full-band, all-scenario universal large-scale fading channel model can effectively predict the large-scale fading characteristics of the drone scenario.

[0126] A computer device includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the steps of the 6G full-band, full-scenario universal large-scale fading channel modeling method described above.

[0127] Any aspects of this invention not described in detail are well-known to those skilled in the art.

[0128] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A universal large-scale fading channel modeling method applicable to all 6G frequency bands and scenarios, characterized in that, include: Based on the frequency band scenario, the path loss and shadowing loss of large-scale fading are calculated using channel model parameters; among them, The path loss of large-scale fading is represented as the sum of basic loss, atmospheric fading loss, scintillation loss, building penetration loss, and rainfall fading loss. The shadow fading of large-scale fading is represented as a Gaussian distribution with zero mean.

2. The 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 1, characterized in that, The basic loss is calculated using a dual-slope model; Atmospheric decay loss is expressed as the sum of oxygen decay loss and water vapor decay loss; The scintillation loss is expressed as the sum of the ionospheric scintillation loss and the tropospheric scintillation loss; The penetration loss of buildings is calculated using a double log-normal distribution combined model; The Crane model was used to calculate rainfall fading loss.

3. The 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 1, characterized in that, Path loss PL is expressed as PL = PL b +PL g +PL s +PL e +PL r Among them, PL b For basic losses, PL g For atmospheric decay loss, PL s For flicker loss, PL e For building penetration loss, PL r This is due to rainfall fading loss; Shadow fading SF is represented as in, This indicates that the expression follows a pattern with a mean of 0 and a variance of . Gaussian distribution, This represents the variance of shadow fading.

4. The 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 1, characterized in that, Basic loss is expressed as in, d represents the 2D turning distance. 3D This represents the 3D distance between the transceivers. This represents the 3D turning distance, where PL1 and PL2 represent the path loss before and after the turning point, respectively. c The center frequency, h BS The transmitter antenna height, h UT Indicates receiver height, A1 is the range correlation coefficient before the inflection point, A2 is the range correlation coefficient after the inflection point, B is the relative reference coefficient, C is the frequency correlation coefficient, D is the linear range correlation coefficient, E is the inflection point scaling factor, h E For the environment's altitude above the ground, The distance before the turning point is Path loss.

5. The 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 1, characterized in that, Atmospheric fading loss PL g for PL g =PL o +PL w Among them, PL o For oxygen decay loss, PL w This is due to water vapor attenuation loss.

6. The 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 1, characterized in that, flicker loss PL s Represented as PL s =PL is +PL ts Among them, PL is For ionospheric scintillation loss, PL ts This is for tropospheric scintillation loss.

7. The 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 1, characterized in that, Building Penetration Loss PL e Represented as Among them, PL e Let N1(P) and N2(P) represent the building penetration loss not exceeding probability P, where N1(P) and N2(P) are normally distributed variables, and N3 is a constant. N1(P)=F -1 (P)σ1+μ1 N2(P)=F -1 (P)σ2+μ2 N3＝-3.0 The mean and standard deviations μ1, σ1, μ2, σ2 of two normal distributions are expressed as μ1 = L h +L e μ2=w+xlog(f c ) σ1=u+νlog(f c ) σ2=y+zlog(f c ) Among them, f c L represents the center frequency. h L represents the median loss along the horizontal path. e The correction for the path elevation angle on the building facade is denoted as L. h =r+slog(f c )+t(log(f c )) 2 L e =0.212|φ| Where φ is the path elevation angle on the building facade, and F -1 (P) is the inverse cumulative normal distribution of the probability function, where w, x, u, v, y, z, r, s, and t are all coefficients. The values ​​of w, x, u, v, y, z, r, s, and t are given in Table 1 of the ITU-RP.2109 document.

8. The 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 1, characterized in that, Rainfall fading loss is expressed as Where a is the rainfall attenuation coefficient, R is the rainfall rate, b is the rainfall attenuation index, and h is the rainfall attenuation coefficient. R θ represents the height of the rainfall, and θ represents the angle of elevation.

9. The 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 2, characterized in that, Oxygen decay loss PL o and water vapor attenuation loss PL w Represented as Where, p s For instantaneous dry surface pressure, p s =P s -e s P s This represents the instantaneous total atmospheric surface pressure. e s T represents the instantaneous partial pressure of water vapor at the Earth's surface. s The instantaneous surface temperature, γ is the instantaneous surface water vapor density, θ is the elevation angle, and γ is the inclination angle. o (f c ,p s ,T s ,e s ) represents the specific gas decay caused by oxygen, γ w (f c ,p s ,T s ,e s The attenuation is due to water vapor relative to the gas. For oxygen equivalent altitude, h w (f c () represents the water vapor equivalent height.

10. A 6G full-band, all-scenario universal large-scale fading channel modeling method according to claim 2, characterized in that, Ionospheric scintillation loss PL is express: Among them, P fluc f represents the peak-to-peak ripple value of the received signal at a 4 GHz frequency. c For the center frequency, N H I is the number of path jumps. a For the absorption index, θ 100 For the angle of incidence at an altitude of 100km, f 100 It is the gyromagnetic frequency at an altitude of 100km.

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