Terahertz communication system and method applied to high-speed wireless transmission

Abstract

The invention discloses a terahertz communication system and method applied to high-speed wireless transmission, and relates to the technical field of communication. Comprising the following steps: S1, sensing attitude data of the terahertz communication equipment, relative position information of a transmitting end and a receiving end and channel interference state data in real time; and S2, performing real-time sensing based on the attitude data sensed in real time, the historical attitude data and the real-time sensing information. Terahertz communication equipment attitude data, receiving and transmitting end relative position information and channel interference state data are acquired in real time through multi-dimensional fusion sensing, the equipment attitude change trend and offset range are pre-judged by combining historical attitude data and utilizing a long-short term memory network, and corresponding sub-beams are activated in advance to form a redundant link; link interruption caused by quick misalignment of attitude change of high-directivity beams is avoided, and the problems that an existing scheme depends on periodic scanning, response is slow, scanning is time-consuming, and packet loss is easily caused are solved.

Description

Technical Field

[0001] This invention relates to the field of communication technology, specifically to a terahertz communication system and method for high-speed wireless transmission. Background Technology

[0002] Terahertz waves are electromagnetic waves with frequencies between 0.1 and 10 terahertz, falling between microwaves and infrared light. Due to their vast bandwidth resources, far exceeding those of existing microwave communications, the terahertz band is widely considered a core technology for future sixth-generation mobile communications and high-speed wireless local area networks, capable of achieving data transmission rates in the terabits per second (Tb / s). However, terahertz signals are susceptible to absorption by gas molecules and weather conditions when propagating through the air, leading to significant signal attenuation. Therefore, current mainstream terahertz communication systems typically employ directional beamforming technology, using high-gain antennas to concentrate energy into a very narrow beam for transmission, overcoming path loss and achieving stable communication.

[0003] However, in communication using highly directional beams, beam misalignment is highly likely when the transceiver undergoes even slight attitude changes due to external environment or carrier platform variations, leading to link interruptions. Existing beam tracking and recovery mechanisms primarily rely on periodic scanning or feedback control. The invention patent CN113381818B, "A Helical Scanning Method for Terahertz Beam Alignment," uses a coarse helical scan to locate the signal power threshold region, followed by a fine scan using an optimized hill-climbing method to find the maximum power point. While this simplifies the scanning path, it is essentially still a step-by-step scanning strategy. These methods are insufficiently responsive in scenarios with rapid device movement or obstructions. On one hand, adjusting the step size of the helical scan and conducting multiple rounds of cyclic acquisition consume additional time; on the other hand, the accuracy optimization during the fine scan phase further prolongs the beam realignment cycle. Due to the extremely narrow beamwidth, even a tiny relative angular offset between the transceiver and receiver can drastically degrade signal quality. In such cases, traditional solutions cannot re-establish a precise alignment state within milliseconds, resulting in frequent packet loss and communication interruptions during high-speed data transmission, severely impacting system reliability and average throughput. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a terahertz communication system and method for high-speed wireless transmission, which solves the problems of beam inaccuracy, communication interruption, and slow response of traditional solutions in terahertz communication due to changes in device attitude and channel obstruction.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a terahertz communication method for high-speed wireless transmission, comprising:

[0006] S1. Real-time sensing of attitude data of terahertz communication equipment, relative position information of transceiver ends and channel interference status data;

[0007] S2. Based on real-time perceived attitude data, historical attitude data and real-time perceived information, the attitude change trend and offset range of the terahertz communication device within a preset time window are predicted by a pre-built prediction model, and the attitude change prediction result, offset range and corresponding confidence level are obtained.

[0008] S3. Based on the offset range in the attitude change prediction result, activate the sub-beams in the terahertz smart transceiver array corresponding to the offset range, and the sub-beams form redundant coverage links for the predicted offset area.

[0009] S4. When the confidence level of the attitude change prediction result meets the preset threshold condition, based on the signal quality data of the sub-beam feedback, the synthesis parameters of the main beam in the terahertz smart transceiver array are calculated in advance, and the main beam of the terahertz smart transceiver array is driven to perform alignment switching according to the synthesis parameters.

[0010] S5. During the communication process, continuously monitor the actual attitude of the terahertz communication equipment, compare the actual attitude with the attitude change prediction results, and dynamically adjust the number of activated sub-beams and the synthesis parameters of the main beam.

[0011] S6. Synchronize the new attitude data and alignment parameter mapping relationship to the edge collaborative parameter pool for cross-device sharing and dynamic updates;

[0012] S7. When a channel obstruction event is detected, link aggregation of the sub-beams is initiated, and the alignment scheme under the obstruction scenario is invoked by retrieving the edge coordination parameter pool to drive the main beam to reconstruct.

[0013] Preferably, step S1 includes:

[0014] Real-time attitude data of terahertz communication equipment is acquired through inertial measurement; relative position information between the transceiver is acquired through visual tracking; and channel interference status data is acquired through electromagnetic environment sensing.

[0015] Preferably, the step of predicting the attitude change trend and offset range of the terahertz communication device within a preset time window using a pre-constructed prediction model includes:

[0016] The prediction model is a long short-term memory network, trained based on historical pose data and real-time perception information;

[0017] Input real-time sensed attitude data, relative position information of the transceiver and receiver, and channel interference status data into the long short-term memory network;

[0018] The Long Short-Term Memory (LSTM) network outputs a predicted value for the future attitude of the terahertz communication device, which is expressed as:

[0019] ;

[0020] in, It is a predicted future posture. It is a collection of historical posture data. It is the current real-time sensing information, including attitude data, relative position information, and channel interference status data. It is a prediction function based on Long Short-Term Memory networks. It is the length of the prediction time window.

[0021] Preferably, the step of activating the sub-beam corresponding to the offset range in the terahertz smart transceiver array based on the offset range in the attitude change prediction result includes:

[0022] Calculate the angle corresponding to the predicted offset range ;

[0023] Based on angle Determine the number of sub-beams that need to be activated. Number of sub-beams satisfy:

[0024] ;

[0025] in, It is a scaling factor determined based on historical data. It is the margin of uncertainty in forecasting. It is the beamwidth of a single sub-beam. Indicates rounding up;

[0026] Send commands to the terahertz smart transceiver array to activate the calculated number of sub-beams.

[0027] Preferably, step S4 includes:

[0028] Receive signal quality data from the activated sub-beam feedback, including the signal-to-noise ratio. ;

[0029] Based on signal quality data, optimize the beamforming weights of the main beam. The optimization objective is to maximize the received power. : Communication

[0030] ;

[0031] in, It is the candidate beamforming weight vector. It comes from the first The signal vector of each sub-beam This refers to the number of activated sub-beams; the optimized beamforming weights. As the synthesis parameters of the main beam.

[0032] Preferably, the dynamic adjustment of the number of activated sub-beams and the synthesis parameters of the main beam includes:

[0033] When the difference between the actual attitude and the attitude change prediction exceeds the first threshold, the required number of sub-beam activations is reassessed.

[0034] When the difference between the actual attitude and the attitude change prediction result exceeds the second threshold, the synthesis parameters of the main beam are recalculated.

[0035] The operating status of the terahertz smart transceiver array is adjusted based on the reassessed number of activated sub-beams and the recalculated main beam synthesis parameters.

[0036] Preferably, the step of initiating sub-beam link aggregation upon detecting a channel obstruction event includes:

[0037] Configure the activated sub-beams into aggregation mode to transmit data jointly through multiple sub-beams;

[0038] Retrieve a pre-stored alignment scheme that matches the current occlusion scene from the edge collaboration parameter pool;

[0039] Based on the matching pre-stored alignment scheme, the main beam is driven to perform rapid reconstruction.

[0040] Preferably, the terahertz smart transceiver array includes:

[0041] Main beam antenna, used for high-speed data transmission;

[0042] Multiple sub-beam antennas are arranged in a ring around the main beam antenna, forming a weak power redundant link.

[0043] The signal detection unit, integrated into the main beam antenna and the sub-beam antenna, is used to detect signal quality in real time.

[0044] Preferably, the edge collaboration parameter pool is used to store:

[0045] The set of attitude-alignment parameter mappings is generated by the terahertz communication equipment during the pre-deployment phase.

[0046] The attitude-alignment parameter mapping relationship of other terahertz communication devices in the same scenario supports cross-device reuse.

[0047] The present invention also provides a terahertz communication system for high-speed wireless transmission, comprising:

[0048] The multi-dimensional fusion sensing module is used to sense the attitude data of terahertz communication equipment, the relative position information of the transceiver end, and the channel interference status data in real time.

[0049] The attitude prediction and decision unit is connected to the multi-dimensional fusion sensing module. It is used to predict the attitude change trend and offset range of the terahertz communication device within a preset time window based on real-time sensing data, and to obtain the attitude change prediction result, offset range and corresponding confidence level.

[0050] The terahertz smart transceiver array consists of a main beam antenna and ring-distributed sub-beam antennas. The main beam antenna is used for high-speed data transmission, and the sub-beam antennas form a low-power redundant link.

[0051] The distributed beam cooperative control module, connected to the attitude prediction and decision unit and the terahertz intelligent transceiver array, is used to activate sub-beams according to the predicted attitude offset range, and when the confidence of the attitude change prediction result meets the preset threshold condition, calculate the synthesis parameters of the main beam in advance based on the signal quality data fed back by the sub-beams, drive the main beam to perform alignment switching, and dynamically adjust the number of activated sub-beams and the synthesis parameters of the main beam.

[0052] The edge collaborative parameter pool, connected to the distributed beam collaborative control module, is used to store attitude-alignment parameter mapping relationships and supports the synchronization of new attitude data and alignment parameter mapping relationships to the edge collaborative parameter pool for cross-device sharing and dynamic updates. When a channel occlusion event is detected, the alignment scheme under the occlusion scenario is invoked by retrieving the edge collaborative parameter pool to drive the main beam to reconstruct.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0054] This invention acquires terahertz communication device attitude data, relative position information of the transceiver end, and channel interference status data in real time through multi-dimensional fusion sensing. Combined with historical attitude data, it uses a long short-term memory network to predict the trend and range of device attitude changes, pre-activating corresponding sub-beams to form redundant links. This avoids link interruptions caused by rapid misalignment of highly directional beams due to attitude changes, solving the problems of existing solutions relying on periodic scanning, slow response, and packet loss due to scanning time. When the prediction confidence level is met, the main beam synthesis parameters are calculated in advance based on the signal quality data fed back from the sub-beams, driving alignment switching without waiting for actual offsets to occur, further reducing the risk of high-speed transmission interruptions. During communication, the actual and predicted attitudes are continuously compared, dynamically adjusting the number of activated sub-beams and the main beam parameters. The new attitude communication-communication alignment parameter mapping relationship is synchronized to the edge collaborative parameter pool for cross-device sharing, improving scenario adaptability. When channel obstruction is detected, sub-beam link aggregation is initiated to transmit data, and the obstruction alignment scheme in the edge pool is retrieved to reconstruct the main beam, shortening the obstruction recovery time and improving the overall reliability and high-speed data transmission continuity of the terahertz communication system. Attached Figure Description

[0055] Figure 1 This is a flowchart of the method of the present invention;

[0056] Figure 2 This is a system structure diagram of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Please see Figure 1 This invention provides a terahertz communication method for high-speed wireless transmission, comprising:

[0059] S1. Real-time sensing of attitude data of terahertz communication equipment, relative position information of transceiver ends and channel interference status data;

[0060] S2. Based on real-time perceived attitude data, historical attitude data and real-time perceived information, the attitude change trend and offset range of the terahertz communication device within a preset time window are predicted by a pre-built prediction model, and the attitude change prediction result, offset range and corresponding confidence level are obtained.

[0061] S3. Based on the offset range in the attitude change prediction result, activate the sub-beams in the terahertz smart transceiver array corresponding to the offset range, and the sub-beams form redundant coverage links for the predicted offset area.

[0062] S4. When the confidence level of the attitude change prediction result meets the preset threshold condition, based on the signal quality data of the sub-beam feedback, the synthesis parameters of the main beam in the terahertz smart transceiver array are calculated in advance, and the main beam of the terahertz smart transceiver array is driven to perform alignment switching according to the synthesis parameters.

[0063] S5. During the communication process, continuously monitor the actual attitude of the terahertz communication equipment, compare the actual attitude with the attitude change prediction results, and dynamically adjust the number of activated sub-beams and the synthesis parameters of the main beam.

[0064] S6. Synchronize the new attitude data and alignment parameter mapping relationship to the edge collaborative parameter pool for cross-device sharing and dynamic updates;

[0065] S7. When a channel obstruction event is detected, link aggregation of the sub-beams is initiated, and the alignment scheme under the obstruction scenario is invoked by retrieving the edge coordination parameter pool to drive the main beam to reconstruct.

[0066] Specifically, in high-speed wireless transmission scenarios

[0067] First, real-time sensing is implemented. The inertial measurement unit integrated into the device captures attitude data, visual sensors acquire relative position information between the transceiver and receiver, and an electromagnetic sensing module collects channel interference data to ensure comprehensive and real-time sensing information. Based on this data, combined with historically accumulated attitude change patterns, the data is input into a pre-trained prediction model to predict the attitude change trend and offset range of the device within a preset time window, while simultaneously outputting the corresponding confidence level. This achieves proactive perception of attitude changes rather than passive response.

[0068] Based on the predicted offset range, the corresponding sub-beams in the terahertz smart transceiver array are activated. These sub-beams form redundant coverage links, ensuring basic communication can be maintained even if the main beam is temporarily out of alignment, thus preventing link interruption. When the confidence level of the prediction result reaches a preset threshold, indicating that the attitude change prediction is reliable, the synthesis parameters of the main beam are calculated in advance based on the signal quality data fed back from the sub-beams. This drives the main beam to complete the alignment switch ahead of time, eliminating the need to wait for the actual offset to occur before making adjustments, significantly improving response speed.

[0069] During communication, the actual attitude of the device is continuously monitored and compared with the predicted results in real time. Based on the differences, the number of activated sub-beams and the main beam synthesis parameters are dynamically adjusted to ensure that the beam is always accurately aligned. The newly generated attitude and alignment parameter mapping relationship is synchronized to the edge collaborative parameter pool to achieve cross-device sharing, allowing other devices in the same scenario to reuse effective parameters without repeated training. When channel obstruction is detected, sub-beam link aggregation is immediately initiated. Data transmission continuity is ensured through joint transmission of multiple sub-beams. At the same time, the obstruction scenario alignment scheme in the edge collaborative parameter pool is retrieved to drive the main beam to quickly reconstruct, shortening the obstruction recovery time.

[0070] In this embodiment, step S1 includes:

[0071] Real-time attitude data of terahertz communication equipment is acquired through inertial measurement; relative position information between the transceiver is acquired through visual tracking; and channel interference status data is acquired through electromagnetic environment sensing.

[0072] Specifically, the real-time sensing stage employs a multi-dimensional fusion acquisition strategy to ensure data accuracy. Inertial measurement unit (IMU) utilizes an integrated three-axis gyroscope, three-axis accelerometer, and magnetometer to continuously acquire attitude data such as pitch, roll, and yaw angles, capturing subtle attitude changes. Visual tracking relies on high-definition cameras and image recognition algorithms to capture real-time images of the transceiver devices. It calculates relative position information such as distance and angle between the transceiver and receiver using feature point matching technology, unaffected by electromagnetic interference. Electromagnetic environment sensing uses a spectrum analyzer and interference detector to scan electromagnetic signals within the communication frequency band, identifying channel interference status data such as the frequency and intensity of interference sources, providing interference references for subsequent attitude prediction and beam adjustment.

[0073] In this embodiment, the attitude change trend and offset range of the terahertz communication device within a preset time window are predicted using a pre-built prediction model, including:

[0074] The prediction model is a long short-term memory network, trained based on historical pose data and real-time perception information;

[0075] Input real-time sensed attitude data, relative position information of the transceiver and receiver, and channel interference status data into the long short-term memory network;

[0076] The Long Short-Term Memory (LSTM) network outputs a predicted value for the future attitude of the terahertz communication device, which is expressed as:

[0077] ;

[0078] in, It is a predicted future posture. It is a collection of historical posture data. It is the current real-time sensing information, including attitude data, relative position information, and channel interference status data. It is a prediction function based on Long Short-Term Memory networks. It is the length of the prediction time window.

[0079] Specifically, the prediction model employs a Long Short-Term Memory (LSTM) network, which excels at processing time-series data and can effectively uncover patterns of change in historical posture data. During the model training phase, historical posture data and corresponding real-time sensing information of the device under different scenarios are collected and organized into a training dataset according to time series. The network is then subjected to supervised training to optimize network parameters and improve prediction accuracy.

[0080] During prediction, real-time sensed attitude data, relative position information of the transmitter and receiver, and channel interference status data are normalized to ensure dimensional consistency before being input into the trained Long Short-Term Memory (LSTM) network. The network outputs a predicted value for the future attitude, expressed as:

[0081] ;

[0082] in, Communication indicates a predicted future posture. Communication is a collection of historical attitude data, containing attitude information of the device at different times in the past. Communication refers to real-time sensing information, encompassing real-time attitude data, relative position information between the transmitter and receiver, and channel interference status data. Communication is based on prediction functions of Long Short-Term Memory networks. It is the preset prediction time window length, which can be flexibly set according to the needs of the communication scenario.

[0083] In this embodiment, based on the offset range in the attitude change prediction result, the sub-beam corresponding to the offset range in the terahertz smart transceiver array is activated, including:

[0084] Calculate the angle corresponding to the predicted offset range ;

[0085] Based on angle Determine the number of sub-beams that need to be activated. Number of sub-beams satisfy:

[0086] ;

[0087] in, It is a scaling factor determined based on historical data. It is the margin of uncertainty in forecasting. It is the beamwidth of a single sub-beam. Indicates rounding up;

[0088] Send commands to the terahertz smart transceiver array to activate the calculated number of sub-beams.

[0089] Specifically, based on the offset range in the attitude change prediction results, the corresponding angle communication is first calculated. This angle directly reflects the spatial range of the device's attitude offset. Based on this angle, the number of sub-beams to be activated is determined. The formula for calculating the number of sub-beams is:

[0090] ;

[0091] in, The communication aspect utilizes a scaling factor determined based on historical data statistical analysis to adapt the matching relationship between the offset angle and sub-beam coverage under different scenarios. Communication involves predicting the angle corresponding to the offset range. Communication provides a margin of uncertainty in forecasting, used to address forecast bias and avoid insufficient sub-beam coverage. Communication refers to the beamwidth of a single sub-beam, which is determined by the antenna hardware parameters. The communication indicates an up-rounding operation to ensure that the sub-beams cover the entire predicted offset area.

[0092] After calculating the number of sub-beams, an activation command is sent to the terahertz intelligent transceiver array to accurately activate the corresponding number of sub-beams. The redundant coverage links formed by these sub-beams can cover the predicted offset area in advance, providing a transition guarantee for subsequent main beam switching and avoiding communication interruption.

[0093] In this embodiment, step S4 includes:

[0094] Receive signal quality data from the activated sub-beam feedback, including the signal-to-noise ratio. ;

[0095] Based on signal quality data, optimize the beamforming weights of the main beam. The optimization objective is to maximize the received power. : Communication

[0096] ;

[0097] in, It is the candidate beamforming weight vector. It comes from the first The signal vector of each sub-beam This refers to the number of activated sub-beams; the optimized beamforming weights. As the synthesis parameters of the main beam.

[0098] Specifically, when the confidence level of the attitude change prediction result meets a preset threshold, the calculation of the main beam synthesis parameters begins. First, signal quality data from the activated sub-beams is received, with the core data being the signal-to-noise ratio communication of each sub-beam. This data directly reflects the quality of the sub-beam transmission link.

[0099] To maximize received power communication With communication as the optimization objective, the beamforming weights of the main beam are calculated. The optimized formula is:

[0100] ;

[0101] in, Communication is the candidate beamforming weight vector. communication is communication The conjugate transpose of communication. Communication is from the first communication The signal vector of each sub-beam in communication. Communication refers to the number of activated sub-beams. Communication is the first communication Signal-to-noise ratio of communication sub-beams.

[0102] The optimized beamforming weighted communication is calculated using this formula. This parameter is used as the synthesis parameter of the main beam, which drives the main beam of the terahertz smart transceiver array to switch alignment according to the parameter, ensuring that the main beam can accurately track changes in the device's attitude and maintain the signal quality of high-speed data transmission.

[0103] In this embodiment, dynamically adjusting the number of activated sub-beams and the synthesis parameters of the main beam includes:

[0104] When the difference between the actual attitude and the attitude change prediction exceeds the first threshold, the required number of sub-beam activations is reassessed.

[0105] When the difference between the actual attitude and the attitude change prediction result exceeds the second threshold, the synthesis parameters of the main beam are recalculated.

[0106] The operating status of the terahertz smart transceiver array is adjusted based on the reassessed number of activated sub-beams and the recalculated main beam synthesis parameters.

[0107] Specifically, during communication, the actual attitude of the terahertz communication equipment is monitored in real time and continuously compared with the attitude change prediction results. Adjustments are made dynamically based on the degree of difference. Two different thresholds are preset: the first threshold is used to determine whether the number of activated sub-beams needs adjustment, and the second threshold is used to determine whether the main beam synthesis parameters need to be recalculated. The second threshold is lower than the first threshold to ensure the hierarchical and reasonable nature of the adjustments.

[0108] When the difference between the actual attitude and the predicted result exceeds the first threshold, it indicates that the current sub-beam coverage area can no longer meet the actual offset requirements. The required number of sub-beams to be activated should be reassessed, and some sub-beams should be activated or deactivated to ensure the effectiveness of redundant coverage. When the difference exceeds the second threshold, it indicates that the current synthesis parameters of the main beam can no longer be accurately aligned. The synthesis parameters of the main beam should be recalculated, and the pointing and shape of the main beam should be adjusted in a timely manner.

[0109] Based on the reassessed number of activated sub-beams and the recalculated main beam synthesis parameters, the operating status of the terahertz smart transceiver array is adjusted in real time to ensure that the beam always matches the device's attitude, maintaining the stability of the communication link and transmission quality.

[0110] In this embodiment, when a channel obstruction event is detected, link aggregation of the sub-beams is initiated, including:

[0111] Configure the activated sub-beams into aggregation mode to transmit data jointly through multiple sub-beams;

[0112] Retrieve a pre-stored alignment scheme that matches the current occlusion scene from the edge collaboration parameter pool;

[0113] Based on the matching pre-stored alignment scheme, the main beam is driven to perform rapid reconstruction.

[0114] Specifically, when a channel obstruction event is detected by the signal detection unit, the sub-beam link aggregation mechanism is immediately activated. The activated sub-beams are configured in aggregation mode, and multiple sub-beams work together to jointly transmit data. By using multi-link parallel transmission, the signal attenuation caused by single-link obstruction is compensated for, ensuring the continuity of data transmission.

[0115] Simultaneously, the edge collaboration parameter pool is retrieved, which stores pre-stored alignment schemes for different occlusion scenarios. Based on the characteristics such as the type and degree of current occlusion, the most suitable pre-stored alignment scheme is matched, and the main beam is driven to perform rapid reconstruction according to the scheme. The pointing, width, and shaping weight of the main beam are adjusted to bypass the occlusion area and re-establish a stable main transmission link.

[0116] By combining sub-beam link aggregation with rapid main beam reconfiguration, the communication recovery time in obstructed scenarios is significantly shortened, the packet loss rate is reduced, and the system's anti-interference capability in complex environments is improved.

[0117] In this embodiment, the terahertz smart transceiver array includes:

[0118] Main beam antenna, used for high-speed data transmission;

[0119] Multiple sub-beam antennas are arranged in a ring around the main beam antenna, forming a weak power redundant link.

[0120] The signal detection unit, integrated into the main beam antenna and the sub-beam antenna, is used to detect signal quality in real time.

[0121] Specifically, the terahertz smart transceiver array adopts a master-slave collaborative structure design, with the main beam antenna as the core transmission unit. It adopts a high-gain directional antenna design, has wide bandwidth characteristics, and can achieve terahertz-level high-speed data transmission, meeting the core requirements of high-speed wireless transmission.

[0122] Multiple sub-beam antennas are evenly distributed in a ring around the main beam antenna to form a ring coverage array. The sub-beam antennas adopt a low-power design, and the beamwidth of a single sub-beam is optimized according to the actual application scenario to ensure that a continuous redundant coverage link can be formed after activation without interfering with the transmission of the main beam.

[0123] The signal detection unit is integrated inside the main beam antenna and the sub-beam antenna. It collects signal quality data such as the received signal strength, signal-to-noise ratio, and bit error rate of each antenna in real time, and feeds the data back to the distributed beam coordination control module in real time. This provides data support for beam adjustment decisions and ensures the timeliness and accuracy of beam adjustment.

[0124] In this embodiment, the edge collaboration parameter pool is used to store:

[0125] The set of attitude-alignment parameter mappings is generated by the terahertz communication equipment during the pre-deployment phase.

[0126] The attitude-alignment parameter mapping relationship of other terahertz communication devices in the same scenario supports cross-device reuse.

[0127] Specifically, the edge collaboration parameter pool is deployed on an edge server and has efficient storage and retrieval capabilities. The set of attitude-alignment parameter mapping relationships stored in it is generated by the terahertz communication device during the pre-deployment phase. During pre-deployment, the device simulates different attitude change scenarios, records the corresponding optimal alignment parameters, and forms an initial mapping relationship set.

[0128] Meanwhile, the edge collaboration parameter pool supports cross-device data sharing. The attitude-alignment parameter mapping relationship generated by other terahertz communication devices in the same scenario will be synchronized to this parameter pool to achieve data reuse. When a new communication device is connected or an existing device generates a new attitude-alignment parameter mapping relationship, it will be synchronized to the edge collaboration parameter pool in real time for dynamic updates, enriching the data volume of the parameter pool and improving the matching accuracy and response speed of alignment schemes in different scenarios.

[0129] Please see Figure 2 The present invention also provides a terahertz communication system for high-speed wireless transmission, including...

[0130] The multi-dimensional fusion sensing module is used to sense the attitude data of terahertz communication equipment, the relative position information of the transceiver end, and the channel interference status data in real time.

[0131] The attitude prediction and decision unit is connected to the multi-dimensional fusion sensing module. It is used to predict the attitude change trend and offset range of the terahertz communication device within a preset time window based on real-time sensing data, and to obtain the attitude change prediction result, offset range and corresponding confidence level.

[0132] The terahertz smart transceiver array consists of a main beam antenna and ring-distributed sub-beam antennas. The main beam antenna is used for high-speed data transmission, and the sub-beam antennas form a low-power redundant link.

[0133] The distributed beam cooperative control module, connected to the attitude prediction and decision unit and the terahertz intelligent transceiver array, is used to activate sub-beams according to the predicted attitude offset range, and when the confidence of the attitude change prediction result meets the preset threshold condition, calculate the synthesis parameters of the main beam in advance based on the signal quality data fed back by the sub-beams, drive the main beam to perform alignment switching, and dynamically adjust the number of activated sub-beams and the synthesis parameters of the main beam.

[0134] The edge collaborative parameter pool, connected to the distributed beam collaborative control module, is used to store attitude-alignment parameter mapping relationships and supports the synchronization of new attitude data and alignment parameter mapping relationships to the edge collaborative parameter pool for cross-device sharing and dynamic updates. When a channel occlusion event is detected, the alignment scheme under the occlusion scenario is invoked by retrieving the edge collaborative parameter pool to drive the main beam to reconstruct.

[0135] Specifically, the multi-dimensional fusion sensing module integrates an inertial measurement unit, a visual sensor, and an electromagnetic environment sensing module. The three modules work together to collect attitude data of the terahertz communication device, relative position information of the transceiver end, and channel interference status data, respectively. After preprocessing, the collected data is transmitted to the attitude prediction and decision-making unit in real time.

[0136] The attitude prediction and decision-making unit receives data transmitted from the multi-dimensional fusion sensing module, combines it with the built-in historical attitude database, calls the pre-trained prediction model, predicts the attitude change trend, offset range and corresponding confidence level of the device within a preset time window, and sends the prediction results to the distributed beam cooperative control module.

[0137] The terahertz intelligent transceiver array consists of a main beam antenna and ring-distributed sub-beam antennas. The main beam antenna is responsible for high-speed data transmission, while the sub-beam antennas form a redundant coverage link, working in conjunction with a signal detection unit to provide real-time feedback of signal quality data.

[0138] The distributed beam coordination control module, as the core control unit, receives the prediction results from the attitude prediction and decision-making unit and activates the corresponding sub-beams. When the confidence level meets the threshold, it calculates the main beam synthesis parameters based on the signal quality data fed back by the sub-beams and drives the main beam alignment switching. During communication, it dynamically adjusts the number of activated sub-beams and the main beam synthesis parameters to ensure stable communication.

[0139] The edge collaborative parameter pool establishes real-time communication with the distributed beam collaborative control module, stores the attitude-alignment parameter mapping relationship, and supports cross-device sharing and dynamic updates. When channel obstruction is detected, the distributed beam collaborative control module retrieves the edge collaborative parameter pool, calls the matching alignment scheme, drives the main beam reconfiguration, realizes the collaborative work of the entire system, and improves the overall performance of the terahertz communication system.

[0140] In summary, this invention acquires terahertz communication device attitude data, relative position information of the transceiver end, and channel interference status data in real time through multi-dimensional fusion sensing. Combined with historical attitude data, it uses a long short-term memory network to predict the attitude change trend and offset range of the device, pre-activating corresponding sub-beams to form redundant links. This avoids link interruptions caused by rapid misalignment of highly directional beams due to attitude changes, solving the problems of existing solutions relying on periodic scanning, slow response, and packet loss due to scanning time consumption. When the prediction confidence level is met, the main beam synthesis parameters are calculated in advance based on the signal quality data fed back from the sub-beams, driving alignment switching without waiting for actual offset to occur, further reducing the risk of high-speed transmission interruption. During communication, the actual and predicted attitudes are continuously compared, dynamically adjusting the number of activated sub-beams and the main beam parameters. The new attitude communication-communication alignment parameter mapping relationship is synchronized to the edge collaborative parameter pool for cross-device sharing, improving scenario adaptability. When channel obstruction is detected, sub-beam link aggregation is initiated to transmit data, and the obstruction alignment scheme in the edge pool is retrieved to reconstruct the main beam, shortening the obstruction recovery time and improving the overall reliability and high-speed data transmission continuity of the terahertz communication system.

[0141] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0142] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A terahertz communication method for high-speed wireless transmission, characterized in that, include: S1. Real-time sensing of attitude data of terahertz communication equipment, relative position information of transceiver ends and channel interference status data; S2. Based on real-time perceived attitude data, historical attitude data and real-time perceived information, the attitude change trend and offset range of the terahertz communication device within a preset time window are predicted by a pre-built prediction model, and the attitude change prediction result, offset range and corresponding confidence level are obtained. S3. Based on the offset range in the attitude change prediction result, activate the sub-beams in the terahertz smart transceiver array corresponding to the offset range, and the sub-beams form redundant coverage links for the predicted offset area. S4. When the confidence level of the attitude change prediction result meets the preset threshold condition, based on the signal quality data of the sub-beam feedback, the synthesis parameters of the main beam in the terahertz smart transceiver array are calculated in advance, and the main beam of the terahertz smart transceiver array is driven to perform alignment switching according to the synthesis parameters. S5. During the communication process, continuously monitor the actual attitude of the terahertz communication equipment, compare the actual attitude with the attitude change prediction results, and dynamically adjust the number of activated sub-beams and the synthesis parameters of the main beam. S6. Synchronize the new attitude data and alignment parameter mapping relationship to the edge collaborative parameter pool for cross-device sharing and dynamic updates; S7. When a channel obstruction event is detected, link aggregation of the sub-beams is initiated, and the alignment scheme under the obstruction scenario is invoked by retrieving the edge coordination parameter pool to drive the main beam to reconstruct.

2. The terahertz communication method for high-speed wireless transmission according to claim 1, characterized in that, Step S1 includes: Real-time attitude data of terahertz communication equipment is acquired through inertial measurement; relative position information between the transceiver is acquired through visual tracking; and channel interference status data is acquired through electromagnetic environment sensing.

3. The terahertz communication method for high-speed wireless transmission according to claim 1, characterized in that, The method of predicting the attitude change trend and offset range of the terahertz communication device within a preset time window using a pre-built prediction model includes: The prediction model is a long short-term memory network, trained based on historical pose data and real-time perception information; Input real-time sensed attitude data, relative position information of the transceiver and receiver, and channel interference status data into the long short-term memory network; The Long Short-Term Memory (LSTM) network outputs a predicted value for the future attitude of the terahertz communication device, which is expressed as: ； in, It is a predicted future posture. It is a collection of historical posture data. It is the current real-time sensing information, including attitude data, relative position information, and channel interference status data. It is a prediction function based on Long Short-Term Memory networks. It is the length of the prediction time window.

4. The terahertz communication method for high-speed wireless transmission according to claim 1, characterized in that, The step of activating the sub-beam corresponding to the offset range in the terahertz smart transceiver array based on the offset range predicted by attitude change includes: Calculate the angle corresponding to the predicted offset range ; Based on angle Determine the number of sub-beams that need to be activated. Number of sub-beams satisfy: ； in, It is a scaling factor determined based on historical data. It is the margin of uncertainty in forecasting. It is the beamwidth of a single sub-beam. Indicates rounding up; Send commands to the terahertz smart transceiver array to activate the calculated number of sub-beams.

5. A terahertz communication method for high-speed wireless transmission according to claim 1, characterized in that, Step S4 includes: Receive signal quality data from the activated sub-beam feedback, including the signal-to-noise ratio. ; Based on signal quality data, optimize the beamforming weights of the main beam. The optimization objective is to maximize the received power. : Communication ; in, It is the candidate beamforming weight vector. It comes from the first The signal vector of each sub-beam This refers to the number of activated sub-beams; the optimized beamforming weights. As the synthesis parameters of the main beam.

6. The terahertz communication method for high-speed wireless transmission according to claim 1, characterized in that, The dynamic adjustment of the number of activated sub-beams and the synthesis parameters of the main beam includes: When the difference between the actual attitude and the attitude change prediction exceeds the first threshold, the required number of sub-beam activations is reassessed. When the difference between the actual attitude and the attitude change prediction result exceeds the second threshold, the synthesis parameters of the main beam are recalculated. The operating status of the terahertz smart transceiver array is adjusted based on the reassessed number of activated sub-beams and the recalculated main beam synthesis parameters.

7. A terahertz communication method for high-speed wireless transmission according to claim 1, characterized in that, The step of initiating sub-beam link aggregation upon detecting a channel obstruction event includes: Configure the activated sub-beams into aggregation mode to transmit data jointly through multiple sub-beams; Retrieve a pre-stored alignment scheme that matches the current occlusion scene from the edge collaboration parameter pool; Based on the matching pre-stored alignment scheme, the main beam is driven to perform rapid reconstruction.

8. A terahertz communication method for high-speed wireless transmission according to claim 1, characterized in that, The terahertz smart transceiver array includes: Main beam antenna, used for high-speed data transmission; Multiple sub-beam antennas are distributed in a ring around the main beam antenna, and the sub-beam antennas form a weak power redundant link; The signal detection unit, integrated into the main beam antenna and the sub-beam antenna, is used to detect signal quality in real time.

9. A terahertz communication method for high-speed wireless transmission according to claim 1, characterized in that, The edge collaboration parameter pool is used to store: The set of attitude-alignment parameter mappings is generated by the terahertz communication equipment during the pre-deployment phase. The attitude-alignment parameter mapping relationship of other terahertz communication devices in the same scenario supports cross-device reuse.

10. A terahertz communication system for high-speed wireless transmission, applied to the terahertz communication method for high-speed wireless transmission as described in claims 1-9, characterized in that, include The multi-dimensional fusion sensing module is used to sense the attitude data of terahertz communication equipment, the relative position information of the transceiver end, and the channel interference status data in real time. The attitude prediction and decision unit is connected to the multi-dimensional fusion sensing module. It is used to predict the attitude change trend and offset range of the terahertz communication device within a preset time window based on real-time sensing data, and to obtain the attitude change prediction result, offset range and corresponding confidence level. The terahertz smart transceiver array consists of a main beam antenna and ring-distributed sub-beam antennas. The main beam antenna is used for high-speed data transmission, and the sub-beam antennas form a low-power redundant link. The distributed beam cooperative control module, connected to the attitude prediction and decision unit and the terahertz intelligent transceiver array, is used to activate sub-beams according to the predicted attitude offset range, and when the confidence of the attitude change prediction result meets the preset threshold condition, calculate the synthesis parameters of the main beam in advance based on the signal quality data fed back by the sub-beams, drive the main beam to perform alignment switching, and dynamically adjust the number of activated sub-beams and the synthesis parameters of the main beam. The edge collaborative parameter pool, connected to the distributed beam collaborative control module, is used to store attitude-alignment parameter mapping relationships and supports the synchronization of new attitude data and alignment parameter mapping relationships to the edge collaborative parameter pool for cross-device sharing and dynamic updates. When a channel occlusion event is detected, the alignment scheme under the occlusion scenario is invoked by retrieving the edge collaborative parameter pool to drive the main beam to reconstruct.

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