Method and system for adjusting quality of data transmission channel in underground tunnel environment

Abstract

The invention provides a data transmission channel quality adjusting method and system in an underground tunnel environment. The method comprises the following steps: determining adjacent equipment which is in a connected state with target equipment in the underground tunnel environment; acquiring a transmission parameter between the target device and the adjacent device under a previous adjustment period modulation mode and a previous adjustment period code rate; determining a relative distance between the target device and the adjacent device and an optimal signal-to-noise ratio threshold based on the transmission parameters; and adjusting a modulation mode and a code rate between the target device and the adjacent device based on the transmission parameter, the relative distance and the optimal signal-to-noise ratio threshold to obtain an optimized modulation mode and an optimized code rate in the current adjustment period. By adjusting the modulation mode and the code rate, the channel instability phenomenon caused by rapid channel attenuation and co-frequency mutual interference in the received signal can be compensated or reduced, and the integrity and stability of left and right signals in a narrow and long tunnel specific scene are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of underground networking communication, and particularly to a method and system for adjusting the data transmission channel quality in an underground tunnel environment. Background Art

[0002] The underground tunnel networking communication technology is a communication method for data transmission in a narrow and long enclosed space. Due to the intensive infrastructure construction in recent years, there is no effective means to deploy wireless communication equipment during the construction of tunnels, underground utility tunnels, and pipelines. Because of the particularity of the underground tunnel environment channel, it brings many challenges to wireless communication, especially the problems of rapid attenuation of channel quality and co-frequency interference of multi-device signals, which are the key factors restricting the tunnel communication rate and reliability. In order to overcome the problems of rapid attenuation of channel quality and co-frequency interference of multi-device signals, the channel quality self-adjustment and stabilization technology has emerged. The channel self-adjustment technology aims to compensate for or reduce the channel instability phenomenon in the received signal due to rapid channel attenuation and co-frequency interference, improve the integrity and stability of the signal, and thus ensure the channel quality of tunnel communication.

[0003] Among many channel equalization and self-adjustment technologies, the classic recursive least squares (RLS) method strategy and the least mean square (LMS) method strategy are commonly used. However, due to the key problems of rapid attenuation of channel quality and co-frequency interference of multi-device signals in the underground tunnel wireless communication technology. These problems lead to large fluctuations in channel quality and unstable data transmission rate. When dealing with the underground tunnel scenario, the traditional recursive least squares method (RLS) and the least mean square error method (LMS) cannot effectively overcome the above problems, and their main defects are as follows: 1) They cannot respond quickly when the channel quality fluctuates violently, resulting in an increase in the bit error rate; 2) The signal interference between multiple devices is significant, reducing the overall performance of the communication system.

[0004] Therefore, there is an urgent need to provide a method and system for adjusting the data transmission channel quality in an underground tunnel environment to overcome the problems of violent fluctuations in channel quality and significant signal interference between devices, and thus improve the data transmission quality in the underground tunnel environment. Summary of the Invention

[0005] In view of this, it is necessary to provide a method and system for adjusting the data transmission channel quality in an underground tunnel environment to solve the problems in the prior art that it cannot adapt to violent signal quality fluctuations and signal interference between devices, and thus cause the technical problem of low data transmission quality.

[0006] In a first aspect, to solve the above technical problems, the present invention provides a method for adjusting the data transmission channel quality in an underground tunnel environment, including: Determine adjacent devices that are in a connected state with a target device in the underground tunnel environment; Obtain the transmission parameters between the target device and the adjacent device in the modulation mode of the previous adjustment period and the code rate of the previous adjustment period; Determine the relative distance and the optimal signal-to-noise ratio threshold between the target device and the adjacent device based on the transmission parameters; Adjust the modulation mode and the code rate between the target device and the adjacent device based on the transmission parameters, the relative distance, and the optimal signal-to-noise ratio threshold to obtain the optimized modulation mode and the optimized code rate in the current adjustment period.

[0007] In a possible implementation, the adjacent device includes a left device and / or a right device. When the adjacent device includes a left device and a right device, the modulation mode and the code rate between the target device and the left device and between the target device and the right device are adjusted in a preset order.

[0008] In a possible implementation, the transmission parameters include signal strength, signal-to-noise ratio, data transmission rate, noise power, channel bandwidth, channel gain factor, combined gain of the transmitter and the receiver, modulation mode factor, and bit error rate factor.

[0009] In a possible implementation, the determining the relative distance and the optimal signal-to-noise ratio threshold between the target device and the adjacent device based on the transmission parameters includes: Determine the relative distance based on the signal strength and the signal-to-noise ratio; Input the data transmission rate, noise power, channel bandwidth, channel gain factor, combined gain of the transmitter and the receiver, modulation mode factor, and bit error rate factor into the optimal signal-to-noise ratio threshold calculation model to obtain the optimal signal-to-noise ratio threshold.

[0010] In a possible implementation, the optimal signal-to-noise ratio threshold is:

[0011] where SNR min is the optimal signal-to-noise ratio threshold; R is the data transmission rate; N is the noise power; B is the channel bandwidth; F is the channel gain factor; G is the combined gain of the transmitter and the receiver; M is the modulation mode factor; Q -1 (BER) is the bit error rate factor.

[0012] In a possible implementation, the adjusting the modulation mode and the code rate between the target device and the adjacent device based on the transmission parameters, the relative distance, and the optimal signal-to-noise ratio threshold includes: Obtain the first correspondence between the optimal signal-to-noise ratio threshold and the modulation mode, determine the first candidate modulation mode based on the signal-to-noise ratio and the first correspondence, obtain the second correspondence between the relative distance range and the modulation mode, determine the second candidate modulation mode based on the relative distance and the second correspondence, and determine the modulation mode based on the first candidate modulation mode and the second candidate modulation mode; Determine the channel state between the target device and the adjacent device based on the optimal signal-to-noise ratio threshold, where the channel state includes a stable state and a fluctuating state; When the channel state is in a stable state, increase the code rate, and when the channel state is in a fluctuating state, decrease the code rate.

[0013] In a possible implementation manner, the method further includes: Obtain the real-time channel key index value between the target device and the adjacent device under the optimized modulation mode and the optimized code rate control; Determine the channel quality threshold between the target device and the adjacent device based on the real-time channel key index value; Optimize the coding mode and transmission strategy between the target device and the adjacent device based on the channel quality threshold; Wherein, the transmission strategy includes a modulation mode and a power control parameter.

[0014] In a possible implementation manner, the real-time channel key index value includes the received signal strength, the signal-to-noise ratio, and the additive white Gaussian noise.

[0015] In a possible implementation manner, the adjacent device includes a left device and / or a right device. When the adjacent device includes a left device and a right device, synchronously optimize the coding mode and transmission strategy between the left device and the right device and the target device.

[0016] In a second aspect, the present invention further provides a data transmission channel quality adjustment system for an underground tunnel environment, including: An adjacent device determination unit, configured to determine an adjacent device in the underground tunnel environment that is in a connected state with a target device; A transmission parameter acquisition unit, configured to acquire the transmission parameters between the target device and the adjacent device under the modulation mode in the previous adjustment period and the code rate in the previous adjustment period; A distance and optimal signal-to-noise ratio threshold determination unit, configured to determine the relative distance and the optimal signal-to-noise ratio threshold between the target device and the adjacent device based on the transmission parameters; A channel quality adjustment unit is configured to adjust the modulation mode and coding rate between the target device and the adjacent device based on the transmission parameters, the relative distance, and the optimal signal-to-noise ratio threshold, so as to obtain an optimized modulation mode and an optimized coding rate in the current adjustment period.

[0017] The beneficial effects of the present invention are as follows: The data transmission channel quality adjustment method for the underground tunnel environment provided by the present invention obtains the transmission parameters between the target device and the adjacent device adjacent to the target device, and adjusts the modulation mode and coding rate between the adjacent device and the target device based on the transmission parameters. Since the modulation mode can affect the bandwidth of the signal and the interference to the adjacent device, and the coding rate affects the energy dispersion of the signal during transmission, and the level of energy dispersion determines the interference to other devices. Therefore, by adjusting the modulation mode and coding rate, the channel instability phenomenon caused by rapid channel attenuation and co-frequency mutual interference in the received signal can be compensated or reduced, the integrity and stability of the left and right signals in the specific scenario of the narrow and long tunnel can be improved, and the reliability and stability of signal transmission in the underground tunnel environment can be enhanced. Moreover, by adjusting the modulation mode and coding rate, the bit error rate during the transmission between the target device and the adjacent device can also be reduced, thereby further improving the data transmission quality.

[0018] Furthermore, the present invention dynamically adjusts the modulation mode and coding rate based on the adjustment period, rather than using fixed modulation modes and coding rates to achieve channel quality adjustment in the underground tunnel environment. It can adaptively optimize the modulation mode and coding rate according to the change of channel quality, and thus can further improve the data transmission quality and reliability.

[0019] Even further, the method of realizing data transmission channel quality adjustment by adjusting the modulation mode and coding rate can flexibly adapt the modulation mode and coding rate under the same channel and different distance conditions, thereby increasing the channel capacity and making full use of the limited spectrum resources. Description of the Drawings

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those skilled in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0021] Figure 1 It is a schematic flowchart of an embodiment of the data transmission channel quality adjustment method for the underground tunnel environment provided by the present invention; Figure 2 For the present invention Figure 1 It is a schematic flowchart of an embodiment of step S104 in Figure 3Schematic flowchart of an embodiment of the data transmission quality adjustment for a target device provided by the present invention; Figure 4 Schematic flowchart of an embodiment of the adaptive quality assurance strategy provided by the present invention; Figure 5 Schematic flowchart of a specific embodiment of the adaptive quality assurance strategy provided by the present invention; Figure 6 Schematic structural diagram of an embodiment of the data transmission channel quality adjustment system for an underground tunnel environment provided by the present invention. Detailed implementation manners

[0022] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0023] It should be understood that the schematic drawings are not drawn to actual scale. The flowcharts used in the present invention illustrate the operations implemented according to some embodiments of the present invention. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical context relationships may be reversed or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart or remove one or more operations from the flowchart under the guidance of the content of the present invention. Some of the block diagrams shown in the drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor systems and / or microcontroller systems.

[0024] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in conjunction with the embodiments can be included in at least one embodiment of the present invention. The phrase appears in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0025] The present invention provides a method and system for adjusting the data transmission channel quality in an underground tunnel environment, which will be described separately below.

[0026] Figure 1 Schematic flowchart of an embodiment of the method for adjusting the data transmission channel quality in an underground tunnel environment provided by the present invention, as Figure 1As shown in the figure, the method for adjusting the data transmission channel quality in an underground tunnel environment includes: S101. Determine the adjacent devices that are in a connected state with the target device in the underground tunnel environment.

[0027] Specifically, determining whether it is in a connected state is: based on the signal state received by the target device, determine whether the adjacent device is in a connected state with the target device.

[0028] The underground tunnel environment refers to a closed or semi-closed passage dug below the ground surface.

[0029] When there are no adjacent devices in the underground tunnel environment that are in a connected state with the target device, it means that there is no available connection for the target device, and there is no need to perform the subsequent steps until an available connection for the target device appears.

[0030] Specifically, it can be determined whether it is in a connected state by monitoring the signal strength (such as: Received Signal Strength Indication).

[0031] Since multiple devices in the underground tunnel environment are usually arranged in a single direction, therefore, the adjacent devices in the embodiments of the present invention include the left-side device adjacent to and on the left side of the target device, and / or the right-side device adjacent to and on the right side of the target device.

[0032] S102. Obtain the transmission parameters between the target device and the adjacent device under the modulation mode and code rate of the previous adjustment period.

[0033] It should be noted that: the embodiments of the present invention are dynamically adjusted in a cycle. In the first adjustment cycle, step S102 is: obtain the transmission parameters between the target device and the adjacent device under the standard modulation mode and standard code rate.

[0034] The standard modulation mode and standard code rate are the modulation mode and code rate set according to human experience or initialization.

[0035] Among them, the adjustment cycle can be a fixed cycle or a non-fixed cycle set according to certain rules, and no specific limitation is made here.

[0036] For example: the adjustment cycle can be divided into the current adjustment cycle and the previous adjustment cycle according to different time periods. In some embodiments, both the current adjustment cycle and the previous adjustment cycle can be 5S. In other embodiments, the current adjustment cycle can be 3S and the previous adjustment cycle can be 5S, that is: the current adjustment cycle and the previous adjustment cycle can be set to different values.

[0037] It should be understood that: the transmission parameter is a parameter characterizing the transmission performance, which includes but is not limited to signal strength, signal-to-noise ratio, data transmission rate, noise power, channel bandwidth, channel gain factor, combined gain of the transmitter and receiver, modulation mode factor, and bit error rate factor.

[0038] S103. Determine the relative distance between the target device and the adjacent device and the optimal signal-to-noise ratio threshold based on the transmission parameter.

[0039] Among them, the optimal signal-to-noise ratio threshold refers to a preset threshold value used to trigger whether the modulation mode is switched.

[0040] S104. Adjust the modulation mode and code rate between the target device and the adjacent device based on the transmission parameter, relative distance, and optimal signal-to-noise ratio threshold to obtain the optimized modulation mode and optimized code rate in the current adjustment period.

[0041] Among them, the modulation mode includes but is not limited to 16-QAM, 64-QAM, QPSK, and BPSK.

[0042] It should be noted that: after step S104 is executed, continue to return to step S101, and use the current adjustment period as the previous adjustment period, and continue to adjust the modulation mode and code rate of the next adjustment period to achieve dynamic adjustment of the data transmission channel quality.

[0043] It should be understood that: the method for adjusting the data transmission channel quality in the underground tunnel environment in the embodiments of the present invention can be implemented in any device based on the method for adjusting the data transmission channel quality in the underground tunnel environment, for example: electronic devices such as communication quality adjustment devices. Specifically, the method for adjusting the data transmission channel quality in the underground tunnel environment is stored in the above device in the form of a prepared program. When the device is started, the program is called, and the method for adjusting the data transmission channel quality in the underground tunnel environment is implemented.

[0044] Compared with the prior art, the method for adjusting the data transmission channel quality in the underground tunnel environment provided by the embodiments of the present invention obtains the transmission parameters between the target device and the adjacent device adjacent to the target device, and adjusts the modulation mode and code rate between the adjacent device and the target device based on the transmission parameters. Since the modulation mode can affect the bandwidth of the signal and the interference to the adjacent device, and the code rate affects the energy dispersion of the signal during transmission, and the level of energy dispersion determines the interference to other devices, therefore, by adjusting the modulation mode and code rate, the channel instability phenomenon caused by rapid channel attenuation and co-frequency mutual interference in the received signal can be compensated or reduced, the integrity and stability of the left and right signals in the specific scenario of the narrow and long tunnel can be improved, and the reliability and stability of signal transmission in the underground tunnel environment can be enhanced. Moreover, by adjusting the modulation mode and code rate, the bit error rate during the transmission between the target device and the adjacent device can also be reduced, thereby further improving the data transmission quality.

[0045] Furthermore, the embodiments of the present invention dynamically adjust the modulation mode and code rate based on the adjustment period, rather than using fixed modulation mode and code rate to achieve channel quality adjustment in the underground tunnel environment. It can adaptively optimize the modulation mode and code rate according to the change of channel quality, and further improve the data transmission quality and reliability.

[0046] Even further, the method of adjusting the data transmission channel quality by adjusting the modulation mode and code rate can flexibly adapt the modulation mode and code rate under the conditions of the same channel and different distances, thereby increasing the channel capacity and making full use of the limited spectrum resources.

[0047] In order to further improve the data transmission quality between the target device and the adjacent device, in some embodiments of the present invention, when the adjacent device includes a left device and a right device, the modulation mode and code rate between the target device and the left device and between the target device and the right device are adjusted in a preset order.

[0048] For the situation where there are a left device and a right device in the embodiments of the present invention, the left device and the right device are separately adjusted from the target device, that is: the channel of the target device is divided into a left channel and a right channel, and the left channel and the right channel are separately adjusted, which can ensure better communication quality and transmission rate for the wireless communication of the target device, and further improve the reliability and stability of signal transmission in the underground tunnel environment.

[0049] In the specific embodiment of the present invention, the preset order is: first adjust the modulation mode and code rate between the left device and the target device, and then adjust the modulation mode and code rate between the right device and the target device.

[0050] In some embodiments of the present invention, the process of determining the relative distance in step S103 is as follows: Determine the relative distance based on the signal strength and signal-to-noise ratio.

[0051] Specifically, establish the relationship between the signal-to-noise ratio and shadow fading. Determine the shadow fading based on this relationship, and then establish the relationship between the signal strength and the relative distance based on the shadow fading and the path loss model. Furthermore, the relative distance can be determined based on the signal strength.

[0052] In some embodiments of the present invention, the process of determining the optimal signal-to-noise ratio threshold in step S103 is as follows: Input the data transmission rate, noise power, channel bandwidth, channel gain factor, combined gain of the transmitter and receiver, modulation mode factor, and bit error rate factor into the optimal signal-to-noise ratio threshold calculation model to obtain the optimal signal-to-noise ratio threshold.

[0053] In a specific embodiment of the present invention, the optimal signal-to-noise ratio threshold is:

[0054] In the formula, SNR min is the optimal signal-to-noise ratio threshold; R is the data transmission rate, unit: bps; N is the noise power, unit: watt, usually expressed as N = kTB, where k is the Boltzmann constant and T is the system noise temperature; B is the channel bandwidth, unit: Hz; F is the channel gain factor, used to represent the anti-interference ability of the channel; G is the combined gain of the transmitter and receiver, representing the amplification and anti-attenuation ability in system design; M is the modulation mode factor; Q -1 (BER) is the bit error rate factor, used to accurately estimate the relationship between the signal-to-noise ratio and the bit error rate.

[0055] Among them, the modulation mode factor is used to represent the theoretical signal-to-noise ratio threshold required for a specific modulation mode. For example, when the modulation mode is BPSK, M = 1; when the modulation mode is QPSK, M = 21; when the modulation mode is 16-QAM, M = 4.

[0056] In some embodiments of the present invention, as Figure 2 shown, step S104 includes: S201. Obtain the first corresponding relationship between the optimal signal-to-noise ratio threshold and the modulation mode. Determine the first candidate modulation mode based on the signal-to-noise ratio (SNR) and the first corresponding relationship, and determine the second candidate modulation mode based on the relative distance range and the second corresponding relationship between the modulation mode. Determine the modulation mode based on the first candidate modulation mode and the second candidate modulation mode.

[0057] In a specific embodiment of the present invention, the process of determining the first candidate modulation mode is: Switch to 64-QAM when SNR > 20 dB, switch to 16-QAM when 5 dB < SNR ≤ 20 dB, and use QPSK when SNR ≤ 5 dB.

[0058] The determination process of the second candidate modulation method is as follows: When the relative distance is less than the first distance threshold, switch to 64-QAM; when the relative distance is greater than or equal to the first distance threshold and less than the second distance threshold, switch to 16-QAM; when the relative distance is greater than or equal to the second distance threshold, use QPSK. Here, the first distance threshold is less than the second distance threshold, and the second distance threshold is less than the third distance threshold.

[0059] It should be understood that: the first distance threshold, the second distance threshold, and the third distance threshold can be set according to experience or actual application scenarios, and no specific limitations are made here.

[0060] In a specific embodiment of the present invention, determining the modulation method based on the first candidate modulation method and the second candidate modulation method in step S201 is specifically as follows: Take the modulation method with a lower order in the first candidate modulation method and the second candidate modulation method as the modulation method.

[0061] Determining the modulation method based on the first candidate modulation method and the second candidate modulation method can also be other methods except the above method. For example: determine the confidence levels of the first candidate modulation method and the second candidate modulation method, and take the one with a higher confidence level as the final modulation method.

[0062] S202. Determine the channel state between the target device and the adjacent device based on the optimal SNR threshold. The channel state includes a stable state and a fluctuating state. When the channel state is in the stable state, increase the code rate; when the channel state is in the fluctuating state, decrease the code rate.

[0063] It should be noted that: during the code rate adjustment process, the automatic repeat request (ARQ) technology also needs to be combined to ensure data reliability under low channel quality.

[0064] The embodiment of the present invention determines the modulation method based on the SNR and the relative distance, which can ensure the accuracy and reliability of the modulation method, and thus improve the data transmission quality between the target device and the adjacent device. Moreover, the embodiment of the present invention dynamically adjusts the code rate based on the channel state, can increase the code rate when the channel is stable to improve the transmission efficiency, and decrease the code rate when the channel fluctuates to reduce data packet loss, further improving the data transmission quality.

[0065] In a specific embodiment of the present invention, when the adjacent devices include a left device and a right device, as Figure 3 shown, the process of adjusting the data transmission quality of the target device is as follows: 1) Activate the data transmission quality adjustment function of the target device B and start analyzing according to the received signal status to judge the connection status on both sides.

[0066] 2) Judge the connection status of the left device Judge whether the left device A is in a connected state according to the signal status: Yes: Go to step 3.

[0067] No: Go to step 5 to continue judging the connection status of the right device.

[0068] 3) Connect the left device A Establish a communication connection with device A at the standard code rate and standard modulation method.

[0069] Measure the signal strength and signal-to-noise ratio (SNR) between the device and device A, and calculate the relative distance from device A.

[0070] 4) Adjust the left communication parameters Based on the optimal SNR threshold, dynamically adjust the transmission parameters between the device and device A, including: modulation method, data transmission code rate. Among them, different modulation methods have different modulation orders.

[0071] Determine the optimal control strategy between the device and device A, store the relevant parameters, and then go to step 8 to execute the strategy of the next stage.

[0072] 5) Judge the connection status of the right device Judge whether the right device C is in a connected state according to the signal status: Yes: Go to step 6.

[0073] No: There is no available connection, and the current process ends.

[0074] 6) Connect the right device C Establish a communication connection with device C at the standard code rate and standard modulation method.

[0075] Measure the signal strength and signal-to-noise ratio (SNR) between the device and device C, and calculate the relative distance from device C.

[0076] 7) Adjust the right communication parameters Based on the optimal SNR threshold, dynamically adjust the transmission parameters between the device and device C, including: modulation method and modulation order, data transmission code rate.

[0077] Determine the optimal control strategy between the device and device C, store the relevant parameters, and then go to step 8 to execute the strategy of the next stage.

[0078] 8) Execute the strategy of the next stage Start a new modulation and transmission strategy according to the stored optimal adjustment parameters to maintain stable and efficient communication.

[0079] Since the underground tunnel environment is vulnerable to external interference during the adjustment period, and its data transmission quality will also fluctuate when external interference occurs. To ensure the data transmission quality during the adjustment period, in some embodiments of the present invention, as Figure 4 shown, after step S104, the method for adjusting the data transmission channel quality of the underground tunnel environment further includes: S401. Obtain the real-time channel key index values between the target device and the adjacent device under the optimized modulation method and optimized code rate control.

[0080] Among them, the real-time channel key index values include received signal strength (RSSI), signal-to-noise ratio (SNR), and additive white Gaussian noise (AWGN).

[0081] The received signal strength is used to evaluate the receiving power level of the target device, the signal-to-noise ratio is used to evaluate the signal quality between the target device and the adjacent device, and the additive white Gaussian noise is used to represent the white noise characteristics introduced by interference or environmental impact in the signal.

[0082] S402. Determine the channel quality threshold between the target device and the adjacent device based on the real-time channel key index values.

[0083] Among them, the channel quality threshold is a key parameter for judging whether the channel state meets specific communication requirements. Its core goal is to dynamically balance between reliability and efficiency, and optimize the system performance by adjusting parameters such as modulation method, coding rate, or power control.

[0084] Specifically, the channel quality threshold is a threshold value used to trigger the following operations: Switch the modulation order (such as from 64-QAM to QPSK), adjust the channel coding rate (such as from 3 / 4 to 1 / 2), and change the transmit power (such as increasing the power to compensate for path loss).

[0085] S403. Optimize the coding method and transmission strategy between the target device and the adjacent device based on the channel quality threshold.

[0086] Among them, the transmission strategy includes modulation method and power control parameters.

[0087] In the specific embodiments of the present invention, the coding methods include but are not limited to: Turbo codes, LDPC codes, Polar codes, and block codes.

[0088] It should be noted that: Figure 3The modulation strategy threshold in [it] refers to the channel quality threshold in step S402. That is: after steps S101 to S104, the modulation strategy threshold needs to be dynamically adjusted.

[0089] Similarly, the adjacent devices include the left device and / or the right device. To improve the channel transmission quality in both the left and right directions, when the adjacent devices include the left device and the right device, the coding method and transmission strategy between the left device and the right device and the target device are optimized synchronously.

[0090] It should be understood that: steps S101 to S104 are adaptive modulation strategies, and steps S401 to S403 are adaptive quality guarantee strategies. Through the adaptive modulation strategy, the modulation method and modulation order can be determined for adjustment in the left and right directions according to the channel conditions of fixed points at different distances to maximize the data transmission rate. By adjusting the modulation method and modulation order, it can be flexibly adapted under the conditions of the same channel and different distances, thereby improving the system capacity and making full use of limited spectrum resources. In addition, the adaptive modulation technology based on the target device can also determine the code rate and modulation method for adjustment in the left and right directions according to the characteristics of the channel quality in the underground tunnel environment to achieve the best bit error rate performance. Through the adaptive code rate control and modulation method selection based on the target device, the system can be optimized according to the change of channel quality, reduce the bit error rate, and improve the reliability of data transmission. Through the adaptive quality guarantee strategy, by receiving the signal strength, signal-to-noise ratio, bit error rate, etc. in the left and right directions, the change of channel quality is judged in time to make adjustments for the subsequent data coding and transmission strategy. In addition, the coding parameters and transmission strategy are adjusted according to the change of channel quality, thereby improving the transmission quality of data.

[0091] In a specific embodiment of the present invention, when the adjacent devices include the left device and the right device, as Figure 5 shown, the process of the adaptive quality guarantee strategy is specifically as follows: 1) Start the channel quality guarantee strategy The target device B starts the channel quality monitoring mechanism.

[0092] 2) Detect and evaluate the left and right channel states Detection and calculation: The target device B monitors the wireless signals on the left and right sides in real time to obtain key channel parameters such as signal strength (RSSI), signal-to-noise ratio (SNR), and bit error rate (BER).

[0093] Synchronous evaluation: The channel tuning values of the left and right channels are evaluated synchronously in real time to determine whether the channel state meets the data transmission requirements.

[0094] 3) Left and right channel processing flow According to the detection results of the left and right channels, the independent processing flows of the left and right channels are started simultaneously: Left channel processing: Start the independent signal processing flow for the left channel and re-evaluate the key channel metrics: L-RSSI: Evaluate the received power level of the left signal.

[0095] L-SNR: Evaluate the quality of the left signal, paying attention to the ratio of the useful signal to the noise signal.

[0096] L-AWGN: Analyze the characteristics of the white noise introduced into the left signal due to interference or environmental effects.

[0097] Based on the above metrics, dynamically adjust the channel quality threshold of the left channel.

[0098] According to the adjusted channel threshold, optimize the data encoding and transmission strategies for the left side to ensure transmission efficiency and stability.

[0099] Right channel processing: Start the independent signal processing flow for the right channel and re-evaluate the key channel metrics: R-RSSI: Evaluate the received power level of the right signal.

[0100] R-SNR: Evaluate the quality of the right signal, paying attention to the ratio of the useful signal to the noise signal.

[0101] R-AWGN: Analyze the characteristics of the white noise introduced into the right signal due to interference or environmental effects.

[0102] Based on the above metrics, dynamically adjust the channel quality threshold of the right channel.

[0103] According to the adjusted channel threshold, optimize the data encoding and transmission strategies for the right side to ensure transmission efficiency and stability.

[0104] 4) Adjustment and optimization For the metrics calculated separately for the left and right channels, adjust the corresponding coding methods, modulation methods, and power control parameters.

[0105] Dynamically optimize the data transmission strategy to adapt to the current channel state.

[0106] 5) Periodic channel quality assessment After the process ends, enter the channel quality monitoring and assessment of the next cycle, and continuously ensure the transmission stability and reliability of the left and right channels through cyclic adjustment strategies.

[0107] In summary, in the embodiments of the present invention, by adjusting the modulation mode and code rate, the channel instability phenomenon caused by rapid channel attenuation and co-channel interference in the received signal can be compensated or reduced, the integrity and stability of the left and right signals in a specific scenario of a narrow and long tunnel can be improved, and the reliability and stability of signal transmission in an underground tunnel environment can be enhanced. Moreover, by distinguishing the left and right channels of the target device, a wireless channel separation adjustment strategy can be implemented in a narrow and long specific scenario, enabling better communication quality assurance and maximum rate transmission effect for wireless communication.

[0108] To better implement the data transmission channel quality adjustment method in the underground tunnel environment in the embodiments of the present invention, correspondingly, based on the data transmission channel quality adjustment method in the underground tunnel environment, the embodiments of the present invention further provide a data transmission channel quality adjustment system for an underground tunnel environment, as Figure 6 shown, the data transmission channel quality adjustment system 600 for an underground tunnel environment includes: An adjacent device determination unit 601, configured to determine adjacent devices in the underground tunnel environment that are in a connected state with the target device; A transmission parameter acquisition unit 602, configured to acquire the transmission parameters between the target device and the adjacent device under the modulation mode in the previous adjustment period and the code rate in the previous adjustment period; A distance and optimal signal-to-noise ratio threshold determination unit 603, configured to determine the relative distance and the optimal signal-to-noise ratio threshold between the target device and the adjacent device based on the transmission parameters; A channel quality adjustment unit 604, configured to adjust the modulation mode and code rate between the target device and the adjacent device based on the transmission parameters, the relative distance, and the optimal signal-to-noise ratio threshold to obtain the optimized modulation mode and optimized code rate in the current adjustment period.

[0109] The data transmission channel quality adjustment system 600 for an underground tunnel environment provided in the above embodiments can implement the technical solutions described in the embodiments of the data transmission channel quality adjustment method for an underground tunnel environment. For the specific implementation principles of the above modules or units, reference can be made to the corresponding content in the embodiments of the data transmission channel quality adjustment method for an underground tunnel environment, which will not be elaborated here.

[0110] The above has introduced in detail a data transmission channel quality adjustment method and system for an underground tunnel environment provided by the present invention. Specific examples are used in this article to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for adjusting the data transmission channel quality in an underground tunnel environment, characterized in that, Including: Determine adjacent devices that are in a connected state with the target device in the underground tunnel environment; Obtain the transmission parameters between the target device and the adjacent device under the modulation mode and code rate of the previous adjustment period; Determine the relative distance and the optimal signal-to-noise ratio threshold between the target device and the adjacent device based on the transmission parameters; Adjust the modulation mode and code rate between the target device and the adjacent device based on the transmission parameters, the relative distance, and the optimal signal-to-noise ratio threshold to obtain the optimized modulation mode and optimized code rate in the current adjustment period.

2. The method for adjusting the data transmission channel quality in the underground tunnel environment according to claim 1, wherein The adjacent device includes a left device and / or a right device. When the adjacent device includes a left device and a right device, the modulation mode and code rate between the target device and the left device and between the target device and the right device are adjusted in a preset order.

3. The method for adjusting the data transmission channel quality in the underground tunnel environment according to claim 1, wherein The transmission parameters include signal strength, signal-to-noise ratio, data transmission rate, noise power, channel bandwidth, channel gain factor, joint gain of the transmitter and receiver, modulation mode factor, and bit error rate factor.

4. The method for adjusting the data transmission channel quality of the underground tunnel environment according to claim 3, characterized in that, The determining the relative distance and the optimal signal-to-noise ratio threshold between the target device and the adjacent device based on the transmission parameters includes: Determine the relative distance based on the signal strength and the signal-to-noise ratio; Input the data transmission rate, noise power, channel bandwidth, channel gain factor, joint gain of the transmitter and receiver, modulation mode factor, and bit error rate factor into the optimal signal-to-noise ratio threshold calculation model to obtain the optimal signal-to-noise ratio threshold.

5. The method for adjusting the data transmission channel quality of the underground tunnel environment according to claim 4, wherein The optimal signal-to-noise ratio threshold is: Wherein, SNR min is the optimal signal-to-noise ratio threshold; R is the data transmission rate; N is the noise power; B is the channel bandwidth; F is the channel gain factor; G is the combined gain of the transmitter and the receiver; M is the modulation mode factor; Q -1 (BER) is the bit error rate factor.

6. The method for adjusting the data transmission channel quality of the underground tunnel environment according to claim 3, wherein The adjusting the modulation mode and code rate between the target device and the adjacent device based on the transmission parameters, the relative distance, and the optimal signal-to-noise ratio threshold includes: Obtain the first correspondence between the optimal signal-to-noise ratio threshold and the modulation mode, determine the first candidate modulation mode based on the signal-to-noise ratio and the first correspondence, obtain the second correspondence between the relative distance range and the modulation mode, determine the second candidate modulation mode based on the relative distance and the second correspondence, and determine the modulation mode based on the first candidate modulation mode and the second candidate modulation mode; Determine the channel state between the target device and the adjacent device based on the signal-to-noise ratio. The channel state includes a stable state and a fluctuating state. When the channel state is the stable state, increase the code rate. When the channel state is the fluctuating state, decrease the code rate.

7. The method for adjusting the data transmission channel quality in the underground tunnel environment according to claim 1, wherein The method further includes: Obtain the real-time channel key index values between the target device and the adjacent device under the control of the optimized modulation mode and the optimized code rate; Determine the channel quality threshold between the target device and the adjacent device based on the real-time channel key index values; Optimize the coding mode and transmission strategy between the target device and the adjacent device based on the channel quality threshold; Wherein, the transmission strategy includes a modulation mode and a power control parameter.

8. The method for adjusting the data transmission channel quality of the underground tunnel environment according to claim 7, wherein, The real-time channel key index values include received signal strength, signal-to-noise ratio, and additive white Gaussian noise.

9. The method for adjusting the data transmission channel quality of the underground tunnel environment according to claim 7, wherein The adjacent devices include a left device and / or a right device. When the adjacent devices include a left device and a right device, the encoding method and transmission strategy between the left device and the right device and the target device are optimized synchronously.

10. A data transmission channel quality adjustment system for an underground tunnel environment, characterized in that, Comprising: An adjacent device determination unit, configured to determine adjacent devices in the underground tunnel environment that are in a connected state with the target device; A transmission parameter acquisition unit, configured to acquire the transmission parameters between the target device and the adjacent device under the modulation method in the previous adjustment period and the code rate in the previous adjustment period; A distance and optimal signal-to-noise ratio threshold determination unit, configured to determine the relative distance and the optimal signal-to-noise ratio threshold between the target device and the adjacent device based on the transmission parameters; A channel quality adjustment unit, configured to adjust the modulation method and the code rate between the target device and the adjacent device based on the transmission parameters, the relative distance, and the optimal signal-to-noise ratio threshold, and obtain an optimized modulation method and an optimized code rate in the current adjustment period.

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