Communication scheduling method and system

Abstract

The application relates to a communication scheduling method and system. The communication scheduling method comprises the following steps: acquiring a satellite clock signal; calculating a phase difference between the satellite clock signal and a local clock signal; obtaining a high-precision clock reference based on the phase difference and a Kalman filtering algorithm; obtaining a time slot allocation matrix and aircraft position-time slot association data based on the high-precision clock reference; constructing a three-dimensional grid model based on the high-precision clock reference; obtaining a predicted trajectory of the aircraft based on the three-dimensional grid model and the aircraft position-time slot association data; and obtaining an optimal resource pre-allocation scheme based on the three-dimensional grid model, the predicted trajectory and the time slot allocation matrix. When the above scheme is applied to a dense airspace aircraft communication scenario, the communication conflict is low, the resource utilization rate is high, the synchronization stability is good, and large-scale aircraft collision-free and efficient communication scheduling can be supported.

Description

Technical Field

[0001] This application relates to the field of communication scheduling technology, and in particular to a communication scheduling method and system. Background Technology

[0002] In dense airspace aircraft communication scenarios (such as drones and low-altitude aircraft), existing technologies struggle to simultaneously meet the four core requirements of "time synchronization accuracy, spatial resource adaptation, spatiotemporal collaborative scheduling, and environmental interference resistance," resulting in high communication conflict rates, low resource utilization, and poor synchronization stability, making it impossible to support conflict-free and efficient communication scheduling for large-scale aircraft. Summary of the Invention

[0003] Therefore, it is necessary to provide a communication scheduling method and system to address the problems in related technologies.

[0004] To achieve the above objectives, firstly, this application provides a communication scheduling method, the communication scheduling method comprising:

[0005] Acquire satellite clock signal;

[0006] Calculate the phase difference between the satellite clock signal and the local clock signal;

[0007] A high-precision clock reference is obtained based on the phase difference and Kalman filtering algorithm.

[0008] Based on the high-precision clock reference, the time slot allocation matrix and the spacecraft position-time slot correlation data are obtained;

[0009] A three-dimensional mesh model is constructed based on the high-precision clock reference.

[0010] The predicted trajectory of the aircraft is obtained based on the three-dimensional mesh model and the aircraft position-time slot correlation data;

[0011] The optimal resource pre-allocation scheme is obtained based on the three-dimensional mesh model, the predicted trajectory, and the time slot allocation matrix.

[0012] The aforementioned communication scheduling method includes: acquiring a satellite clock signal; calculating the phase difference between the satellite clock signal and a local clock signal; obtaining a high-precision clock reference based on the phase difference and a Kalman filter algorithm; obtaining a time slot allocation matrix and aircraft position-time slot correlation data based on the high-precision clock reference; constructing a three-dimensional mesh model based on the high-precision clock reference; obtaining a predicted trajectory of the aircraft based on the three-dimensional mesh model and the aircraft position-time slot correlation data; and obtaining an optimal resource pre-allocation scheme based on the three-dimensional mesh model, the predicted trajectory, and the time slot allocation matrix. When applied to dense airspace aircraft communication scenarios, this scheme exhibits low communication conflict, high resource utilization, and good synchronization stability, supporting conflict-free and efficient communication scheduling for large-scale aircraft.

[0013] In some embodiments, acquiring the satellite clock signal includes:

[0014] Obtain satellite atomic clock time signals;

[0015] The satellite atomic clock time signal is processed to eliminate ionospheric delay error using carrier phase measurement technology to obtain the satellite clock signal.

[0016] In some embodiments, obtaining a high-precision clock reference based on the phase difference and Kalman filtering algorithm includes:

[0017] The clock frequency of the local clock is gradually adjusted by a digital phase-locked loop based on the phase difference;

[0018] The drift rate of the local clock and the clock deviation between the local clock and the satellite atomic clock are evaluated using the Kalman filter algorithm.

[0019] A temperature compensation circuit is used to eliminate the influence of ambient temperature on the crystal frequency of the crystal oscillator in the local clock.

[0020] The above steps are iterated several times until the phase difference between the satellite clock signal and the local clock signal converges to a preset threshold, thus obtaining a high-precision clock reference.

[0021] In some embodiments, obtaining the time slot allocation matrix and aircraft position-time slot correlation data based on the high-precision clock reference includes:

[0022] The current aircraft sends a time slot usage request to the radar system based on the high-precision clock reference;

[0023] The radar system searches for and acquires currently available time slot resources;

[0024] Determine whether the time slot resources obtained through the search conflict with the time slot allocation of other aircraft;

[0025] When there is no conflict, the radar system provides a time slot allocation scheme to the current aircraft;

[0026] The current aircraft provides confirmation feedback on the time slot allocation scheme;

[0027] After receiving confirmation feedback, the radar system obtains the time slot allocation matrix and the aircraft position-time slot correlation data based on the time slot allocation scheme.

[0028] In some embodiments, constructing a three-dimensional mesh model based on the high-precision clock reference includes: using an adaptive octree structure to divide the three-dimensional spatial domain to construct a three-dimensional mesh model.

[0029] In some embodiments, the formula for the mesh side length L in the three-dimensional mesh model is:

[0030]

[0031] in, This is the maximum speed of the aircraft in the current airspace; Minimum grid side length; For update cycle; This is for the safety factor.

[0032] In some embodiments, the predicted trajectory of the aircraft is obtained based on the three-dimensional mesh model and the aircraft position-time slot correlation data, including:

[0033] Based on the three-dimensional mesh model and the aircraft position-time slot correlation data, the historical position-time slot sequence of the aircraft is obtained;

[0034] The historical location-time slot sequence is input into an improved LSTM-TCN hybrid neural network model for prediction to obtain the predicted trajectory.

[0035] In some embodiments, an optimal resource pre-allocation scheme is obtained based on the three-dimensional mesh model, the predicted trajectory, and the time slot allocation matrix, including:

[0036] An improved MOEA / D multi-objective algorithm is used to solve the problem and obtain the optimal resource pre-allocation scheme.

[0037] In some embodiments, the improved MOEA / D multi-objective algorithm aims to minimize disturbance and maximize resource utilization. ≥ and ≥ For constraints; where, This refers to the communication frequency interval between meshes in a 3D mesh model. Minimum allowable interval; This refers to the spacing and offset between meshes in a 3D mesh model. To protect the time slots.

[0038] Secondly, this application also provides a communication scheduling system, the communication scheduling system comprising:

[0039] The synchronization signal triggering module is used to acquire the satellite clock signal, calculate the phase difference between the satellite clock signal and the local clock signal, and obtain a high-precision clock reference based on the phase difference and the Kalman filtering algorithm.

[0040] The time division multiple access communication scheduling module is used to obtain the time slot allocation matrix and the aircraft position-time slot association data based on the high-precision clock reference.

[0041] The three-dimensional airspace partitioning management module is used to construct a three-dimensional mesh model based on the high-precision clock reference, obtain the predicted trajectory of the aircraft based on the three-dimensional mesh model and the aircraft position-time slot correlation data, and obtain the optimal resource pre-allocation scheme based on the three-dimensional mesh model, the predicted trajectory and the time slot allocation matrix.

[0042] The aforementioned communication scheduling system, by setting up a synchronization signal triggering module, a time-division multiple access communication scheduling module, and a three-dimensional airspace partition management module, exhibits low communication conflicts, high resource utilization, and good synchronization stability when applied to dense airspace aircraft communication scenarios, and can support conflict-free and efficient communication scheduling for large-scale aircraft. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of this application or the conventional technology, the drawings used in the description of the embodiments or the conventional technology will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a flowchart of a communication scheduling system provided in one embodiment of this application;

[0045] Figure 2 This is a structural block diagram of a communication scheduling method provided in another embodiment of this application.

[0046] Explanation of reference numerals in the attached diagram: 10, Synchronization signal triggering module; 20, Time Division Multiple Access communication scheduling module; 30, Three-dimensional spatial domain partitioning management module. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0048] In one embodiment, see Figure 1 This application also provides a communication scheduling method, which may include the following steps: S10~S70.

[0049] S10: Acquire satellite clock signal.

[0050] S20: Calculate the phase difference between the satellite clock signal and the local clock signal.

[0051] S30: A high-precision clock reference is obtained based on the phase difference and Kalman filtering algorithm.

[0052] S40: Obtain the time slot allocation matrix and the aircraft position-time slot correlation data based on the high-precision clock reference.

[0053] S50: Construct a three-dimensional mesh model based on the high-precision clock reference.

[0054] S60: The predicted trajectory of the aircraft is obtained based on the three-dimensional mesh model and the aircraft position-time slot correlation data.

[0055] S70: Based on the three-dimensional mesh model, the predicted trajectory, and the time slot allocation matrix, the optimal resource pre-allocation scheme is obtained.

[0056] The communication scheduling method in this embodiment, when applied to dense airspace aircraft communication scenarios, exhibits low communication conflicts, high resource utilization, and good synchronization stability, and can support conflict-free and efficient communication scheduling for large-scale aircraft.

[0057] As an example, step S10, obtaining the satellite clock signal, may include the following steps: S101~S102.

[0058] S101: Acquire satellite atomic clock time signal.

[0059] As an example, satellite atomic clock time signals can be obtained through a dual-frequency GPS / BeiDou receiver.

[0060] S102: The satellite atomic clock time signal is processed to eliminate ionospheric delay error using carrier phase measurement technology to obtain the satellite clock signal.

[0061] As an example, the obtained satellite clock signal may include a 1PPS synchronization pulse, a UTC time code, and a 10MHz reference clock.

[0062] As an example, in step S20, a local rubidium atomic oscillator (rubidium atomic clock) is used as the reference clock source, and its daily stability is better than 1×10⁻⁶. -12 This allows for short-term time accuracy to be maintained even when the satellite clock signal is lost. Specifically, the phase difference between the local clock of the local rubidium atomic oscillator and the satellite clock signal can be measured using a phase comparator.

[0063] As an example, step S30, obtaining a high-precision clock reference based on the phase difference and the Kalman filter algorithm, may include the following steps:

[0064] S301: The local clock frequency is gradually adjusted by the digital phase-locked loop based on the phase difference.

[0065] As an example, the digital phase-locked loop gradually adjusts the output frequency of the rubidium atomic clock according to the phase difference.

[0066] S302: Evaluate the drift rate of the local clock and the clock deviation between the local clock and the satellite atomic clock using the Kalman filter algorithm.

[0067] As an example, the Kalman filter algorithm compares the drift rate of the local clock and the real-time deviation between the local clock and the satellite atomic clock to estimate the constant deviation.

[0068] S303: A temperature compensation circuit is used to eliminate the influence of ambient temperature on the crystal frequency of the crystal oscillator in the local clock.

[0069] As an example, the temperature compensation circuit monitors the ambient temperature, dynamically adjusts the crystal oscillator parameters to offset the temperature effect, and feeds back the correction command to the rubidium atomic clock to eliminate the influence of ambient temperature on the crystal oscillator frequency in the local clock.

[0070] S304: Continue iterating the above steps several times until the phase difference between the satellite clock signal and the local clock signal converges to a preset threshold, thus obtaining a high-precision clock reference.

[0071] As an example, step S40, which involves obtaining the time slot allocation matrix and the aircraft position-time slot association data based on the high-precision clock reference, may include the following steps: S401~S406.

[0072] S401: The current aircraft sends a time slot usage request to the radar system based on the high-precision clock reference.

[0073] As an example, the time slot usage request is a time slot usage request with a synchronized UTC timestamp and a corrected time, which includes the current aircraft's ID, location, and communication requirements.

[0074] S402: The radar system searches for and acquires currently available time slot resources.

[0075] As an example, the time slot allocation matrix can be queried using the synchronous UTC timestamp as an index to filter for available time slots in the current / future frames; an improved Hungarian algorithm is used, calculated based on the following cost function formula, to filter out currently allocable time slot resources:

[0076]

[0077] Where C is the comprehensive optimization objective value; For aircraft weighting coefficients; The communication distance of aircraft i; This is the time slot lifetime weighting coefficient; Let j be the remaining lifetime of time slot j; These are the interference factor weighting coefficients; It is an interference factor.

[0078] As an example, the currently available time slot resources obtained through filtering are several optimal candidate time slot resources selected from the idle time slots.

[0079] S403: Determine whether the time slot resources obtained through the search conflict with the time slot allocation of other aircraft.

[0080] As an example, a collision detection window Wc = 3 consecutive time slots can be established, and collisions can be identified using the following criteria:

[0081]

[0082] in, For received power; Power threshold; Let i be the arrival time; Let j be the arrival time; The cyclic redundancy check result is incorrect. To protect time; For logical AND.

[0083] Specifically, If the received power is greater than the power threshold, it indicates that valid signal energy has been detected. The cyclic redundancy check result is incorrect, indicating that there is data distortion during signal transmission; If the absolute value of the difference between the arrival times of the two signals is less than the protection time, it indicates that the two signals overlap in time; the above three conditions are met. A connection is defined as follows: the condition is true only if the received power is greater than the power threshold, the cyclic redundancy check result is incorrect, and the two signals overlap. In other words, a conflict is determined at this time.

[0084] S404: When there is no conflict, the radar system provides a time slot allocation scheme to the current aircraft.

[0085] As an example, when there is no conflict, the radar system can lock the optimal time slot resource and generate an allocation intention; use a synchronized UTC timestamp to determine when the locked optimal time slot resource is effective to ensure consistency with the time reference of the current aircraft; and after determination, provide a time slot allocation scheme to the current aircraft.

[0086] S405: The current aircraft confirms the time slot allocation scheme.

[0087] As an example, the effective time of the time slot in the time slot allocation scheme provided by the current aircraft verification is aligned with its own time; if yes, a confirmation signal is fed back; if no, a signal indicating that adjustment is needed is fed back.

[0088] S406: After receiving the confirmation feedback, the radar system obtains the time slot allocation matrix and the aircraft position-time slot correlation data based on the time slot allocation scheme.

[0089] As an example, the effective period of a time slot can be locked based on the synchronized UTC timestamp; a formal time slot allocation instruction can be generated, which clearly indicates information such as "aircraft ID, time slot number, effective UTC timestamp, and end UTC timestamp"; using the effective UTC timestamp in the formal time slot allocation instruction as an index, the corresponding "frame-time slot" position in the matrix can be found; the element at this position can be updated with the corresponding aircraft ID to complete the matrix update, and finally, the time slot allocation matrix and the aircraft position-time slot association data can be obtained.

[0090] As an example, in step S50, the construction of a three-dimensional mesh model based on the high-precision clock reference may include: using an adaptive octree structure to divide the three-dimensional spatial domain in order to construct a three-dimensional mesh model.

[0091] Specifically, in the aforementioned three-dimensional mesh model, the formula for calculating the mesh side length L can be as follows:

[0092]

[0093] in, This is the maximum flight speed in the current airspace; Minimum grid side length; This refers to the system update cycle; For safety reasons, the default value can be 0.3.

[0094] As an example, the mesh attributes in the three-dimensional mesh model may include communication frequency points. Time slot offset and power reference .

[0095] In scenarios where an adaptive octree partitions a 3D airspace, the dynamic calculation of the mesh side length L ensures that the mesh size can adapt to the flight state within the airspace (such as the maximum speed v). max (While meeting both safety and minimum accuracy requirements) And grid properties (communication frequency points) Time slot offset and power reference The purpose of this is to achieve communication coordination and resource management within and between grids. These grid attributes bind the dynamically divided spatial grids with communication resources (frequency, time, and power) to achieve coordination of "spatial partitioning - resource allocation - secure communication": the grid side length L ensures the rationality of spatial partitioning (adapting to speed, security, and accuracy); communication frequency and time slot offsets solve the interference problem of multi-grid communication; and the power reference balances communication quality and system efficiency based on grid size and dynamic characteristics.

[0096] As an example, in step S60, the predicted trajectory of the aircraft is obtained based on the three-dimensional mesh model and the aircraft position-time slot correlation data, which may include the following steps: S601~S602.

[0097] S601: Based on the three-dimensional mesh model and the aircraft position-time slot correlation data, obtain the historical position-time slot sequence of the aircraft.

[0098] S602: Input the historical location-time slot sequence into the improved LSTM-TCN hybrid neural network model for prediction to obtain the predicted trajectory.

[0099] As an example, the formula for the improved LSTM-TCN hybrid neural network model can be as follows:

[0100]

[0101] in, The predicted output of the improved LSTM-TCN hybrid neural network model at time t+1; This is a nonlinear mapping function for temporal convolutional networks, used to extract local spatiotemporal features of the input sequence; These are the convolution weight parameters in a temporal convolutional network, used to perform convolution operations on the input sequence; The input sequence is the historical sequence from time tn to time t. It is a non-linear mapping function for long short-term memory networks, used to capture long-term dependencies in sequences; These are the recurrent weight parameters in a Long Short-Term Memory (LSTM) network, used to handle the propagation of historical hidden states. This represents the hidden state of the Long Short-Term Memory network at time t-1.

[0102] As an example, in step S70, obtaining the optimal resource pre-allocation scheme based on the three-dimensional mesh model, the predicted trajectory, and the time slot allocation matrix may include the following: using an improved MOEA / D multi-objective algorithm to solve the problem and obtain the optimal resource pre-allocation scheme.

[0103] As an example, in the improved MOEA / D multi-objective algorithm, the objectives are minimum disturbance and maximum resource utilization. ≥ and ≥ For constraints; where, This refers to the communication frequency interval between meshes in a 3D mesh model. Minimum allowable interval; This refers to the spacing and offset between meshes in a 3D mesh model. To protect time slots, the corresponding formula can be as follows:

[0104]

[0105] in, The first optimization objective; Let N be the communication interference power of the i-th grid; N is the total number of grids. This is the second optimization objective; Let M be the utilization rate of the j-th communication resource; M is the total number of communication resources. These are constraints; This refers to the communication frequency interval between meshes in a 3D mesh model. Minimum allowable interval; This refers to the spacing and offset between meshes in a 3D mesh model. To protect the time slots.

[0106] It should be understood that, although Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0107] In another embodiment, please refer to Figure 1 See Figure 2 This application also provides a communication scheduling system, which can be used to perform tasks such as... Figure 1 The communication scheduling system described in the corresponding embodiments includes the following components: a synchronization signal triggering module 10, a time-division multiple access communication scheduling module 20, and a three-dimensional airspace partitioning management module 30. The synchronization signal triggering module 10 acquires a satellite clock signal, calculates the phase difference between the satellite clock signal and the local clock signal, and obtains a high-precision clock reference based on the phase difference and a Kalman filter algorithm. The time-division multiple access communication scheduling module 20 obtains a time slot allocation matrix and aircraft position-time slot correlation data based on the high-precision clock reference. The three-dimensional airspace partitioning management module 30 constructs a three-dimensional mesh model based on the high-precision clock reference, obtains the predicted trajectory of the aircraft based on the three-dimensional mesh model and the aircraft position-time slot correlation data, and obtains the optimal resource pre-allocation scheme based on the three-dimensional mesh model, the predicted trajectory, and the time slot allocation matrix.

[0108] The aforementioned communication scheduling system, by setting up a synchronization signal triggering module 10, a time-division multiple access communication scheduling module 20, and a three-dimensional airspace partition management module 30, can support conflict-free and efficient communication scheduling of large-scale aircraft when applied to dense airspace aircraft communication scenarios, with low communication conflicts, high resource utilization, and good synchronization stability.

[0109] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features of the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0110] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A communication scheduling method, characterized in that, include: Acquire satellite clock signal; Calculate the phase difference between the satellite clock signal and the local clock signal; A high-precision clock reference is obtained based on the phase difference and Kalman filtering algorithm. Based on the high-precision clock reference, the time slot allocation matrix and the spacecraft position-time slot correlation data are obtained; A three-dimensional mesh model is constructed based on the high-precision clock reference. The predicted trajectory of the aircraft is obtained based on the three-dimensional mesh model and the aircraft position-time slot correlation data; An improved MOEA / D multi-objective algorithm is used to solve the problem and obtain the optimal resource pre-allocation scheme. The improved MOEA / D multi-objective algorithm aims to minimize disturbance and maximize resource utilization. ≥ and ≥ For constraints; where, This refers to the communication frequency interval between meshes in a 3D mesh model. Minimum allowable interval; This refers to the spacing and offset between meshes in a 3D mesh model. To protect the time slots.

2. The method according to claim 1, characterized in that, The acquisition of the satellite clock signal includes: Obtain satellite atomic clock time signals; The satellite atomic clock time signal is processed to eliminate ionospheric delay error using carrier phase measurement technology to obtain the satellite clock signal.

3. The method according to claim 2, characterized in that, The process of obtaining a high-precision clock reference based on the phase difference and Kalman filtering algorithm includes: The clock frequency of the local clock is gradually adjusted by a digital phase-locked loop based on the phase difference; The drift rate of the local clock and the clock deviation between the local clock and the satellite atomic clock are evaluated using the Kalman filter algorithm. A temperature compensation circuit is used to eliminate the influence of ambient temperature on the crystal frequency of the crystal oscillator in the local clock. The above steps are iterated several times until the phase difference between the satellite clock signal and the local clock signal converges to a preset threshold, thus obtaining a high-precision clock reference.

4. The method according to claim 1, characterized in that, The process of obtaining the time slot allocation matrix and aircraft position-time slot correlation data based on the high-precision clock reference includes: The current aircraft sends a time slot usage request to the radar system based on the high-precision clock reference; The radar system searches for and acquires currently available time slot resources; Determine whether the time slot resources obtained through the search conflict with the time slot allocation of other aircraft; When there is no conflict, the radar system provides a time slot allocation scheme to the current aircraft; The current aircraft provides confirmation feedback on the time slot allocation scheme; After receiving confirmation feedback, the radar system obtains the time slot allocation matrix and the aircraft position-time slot correlation data based on the time slot allocation scheme.

5. The method according to claim 1, characterized in that, The construction of a three-dimensional mesh model based on the high-precision clock reference includes: using an adaptive octree structure to divide the three-dimensional spatial domain in order to construct the three-dimensional mesh model.

6. The method according to claim 5, characterized in that, The formula for the mesh side length L in the three-dimensional mesh model is: in, This is the maximum speed of the aircraft in the current airspace; Minimum grid side length; For update cycle; This is for the safety factor.

7. The method according to claim 1, characterized in that, The predicted trajectory of the aircraft is obtained based on the three-dimensional mesh model and the aircraft position-time slot correlation data, including: Based on the three-dimensional mesh model and the aircraft position-time slot correlation data, the historical position-time slot sequence of the aircraft is obtained; The historical location-time slot sequence is input into an improved LSTM-TCN hybrid neural network model for prediction to obtain the predicted trajectory.

8. A communication scheduling system, characterized in that, The communication scheduling system includes: The synchronization signal triggering module is used to acquire the satellite clock signal, calculate the phase difference between the satellite clock signal and the local clock signal, and obtain a high-precision clock reference based on the phase difference and the Kalman filtering algorithm. The time division multiple access communication scheduling module is used to obtain the time slot allocation matrix and the aircraft position-time slot association data based on the high-precision clock reference. The three-dimensional airspace partitioning management module is used to construct a three-dimensional mesh model based on the high-precision clock reference. Based on the three-dimensional mesh model and the aircraft position-time slot correlation data, the predicted trajectory of the aircraft is obtained. An improved MOEA / D multi-objective algorithm is used to solve this problem to obtain the optimal resource pre-allocation scheme. In the improved MOEA / D multi-objective algorithm, the objectives are minimum interference and maximum resource utilization. ≥ and ≥ For constraints; where, This refers to the communication frequency interval between meshes in a 3D mesh model. Minimum allowable interval; This refers to the spacing and offset between meshes in a 3D mesh model. To protect the time slots.

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