PHY layer synchronization and scheduling optimization simulation method and system based on 3GPP NTN standard

Abstract

The invention relates to a PHY layer synchronization and scheduling optimization simulation method and system based on a 3GPP NTN standard. The method comprises the following steps: S1, constructing an orbit model based on NTN ephemeris data defined in 3GPP TR38.821, and constructing a satellite constellation model based on parameters defined in the 3GPP TR38.821; s2, constructing a 3GPP NTN physical layer function module according to the satellite constellation model, and realizing NTN channel characteristic calculation, NTN time advance calculation and NTN random access; s3, setting 3GPP NTN simulation scene parameters according to the orbit model and the satellite constellation model, and constructing a 3GPP NTN scene parameter library covering parameters defined by a 3GPP TR38.821 standard; and S4, based on the simulation scene parameters, carrying out joint simulation on the 3GPP NTN physical layer function module, and carrying out performance statistics on simulation experiment data. The method strictly follows regulations of relevant standards of the 3GPP NTN physical layer, the actual effect of the NTN physical layer enhancement function in 3GPP TR38.821 and TS38.213 can be verified, and the standard is promoted.

Description

Technical Field

[0001] This invention relates to the field of non-terrestrial network (NTN) communication technology, and in particular to a simulation method and system for PHY layer synchronization and scheduling optimization based on the 3GPP NTN standard. Background Technology

[0002] With the increasing support for non-terrestrial network (NTN) communication systems in 3GPP Release 17, NTN has been incorporated into the unified framework of 5G communication systems, becoming an important component for supporting seamless global coverage. NTN systems (especially LEO orbits) are characterized by high-speed movement, large latency variations, and strong Doppler shift, posing new challenges to physical layer synchronization mechanisms.

[0003] However, current mainstream communication system simulation platforms, such as NS-3 and OMNeT++, do not yet support this series of NTN synchronization mechanisms, making it impossible to conduct simulation analysis for 3GPP standard alignment. Summary of the Invention

[0004] The purpose of this invention is to provide a simulation method and system for PHY layer synchronization and scheduling optimization based on the 3GPP NTN standard, so as to achieve simulation analysis of 3GPP standard alignment.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] In a first aspect, the present invention provides a simulation method for PHY layer synchronization and scheduling optimization based on the 3GPP NTN standard, comprising the following steps:

[0007] S1, construct an orbital model based on NTN ephemeris data defined in 3GPP TR38.821 and construct a satellite constellation model based on parameters defined in 3GPP TR38.821;

[0008] S2, Construct 3GPP NTN physical layer functional modules based on the satellite constellation model to realize NTN channel characteristic calculation, NTN timing advance calculation and NTN random access;

[0009] S3, set the 3GPP NTN simulation scenario parameters according to the orbit model and the satellite constellation model, and construct a 3GPP NTN scenario parameter library covering the parameters defined in the 3GPP TR38.821 standard;

[0010] S4. Based on the simulation scenario parameters, perform joint simulation of the 3GPP NTN physical layer functional modules and perform performance statistics on the simulation experimental data.

[0011] In the above scheme, an orbital model and a satellite constellation model are first constructed according to the 3GPP TR38.821 standard. Then, physical layer enhancement is carried out based on the model, as well as communication connection between ground terminals and satellite nodes is established, a simulated communication scenario is created, and finally simulation debugging is performed. Through physical layer enhancement, the PHY layer synchronization of the 3GPP NTN standard is achieved.

[0012] In step S1, the NTN ephemeris data includes orbital parameters and satellite parameters; the orbital parameters include semi-major axis, eccentricity, inclination, right ascension of the ascending node, and perigee angle; the satellite parameters specifically include the average anomaly value and epoch of the reference time point.

[0013] The orbital model constructed based on the NTN ephemeris data defined in 3GPP TR38.821 is generated by parsing the ephemeris data using the SGP4 algorithm to generate the satellite's real-time position P and velocity vector V in the J2000 coordinate system.

[0014] In step S1, the parameters include the number of orbits, the number of satellites per orbit, the orbital inclination, and the orbital altitude. The step of constructing a satellite constellation model based on the parameters defined in 3GPP TR38.821 includes: designing and implementing a motion model and an orbital position locator in NS3. The orbital position locator implements polar orbit and circular orbit position positioning, respectively. The Install() method in NtnNodeHelper is used to set the SetPositionAllocator() and SetMobilityModel() methods of MobilityHelper, respectively. The SetPositionAllocator() input parameters include the number of orbits and the number of satellites per orbit, and the SetMobilityModel() input parameters include the orbital altitude and the orbital inclination.

[0015] In step S2, the NTN channel characteristic calculation is based on the NTN channel model defined in 3GPP TR38.811, and the path loss, shadow attenuation, atmospheric absorption loss, and rain attenuation are calculated respectively.

[0016] In step S2, the NTN timing advance calculation is based on the NTN time slot relationships specified in the 3GPP TR38.821 and 3GPP TS38.213 standards. Building upon the existing NS3 NR project, an enhanced NR physical layer time slot relationship is implemented. This enhanced NR physical layer time slot relationship utilizes K... offsetThe offset value enhancement involves multiple timing relationships in the NR physical layer, including the transmission timing of the physical layer uplink shared channel scheduled by downlink control information, the transmission timing of the physical layer uplink shared channel scheduled by random access response, the transmission timing of the physical layer uplink control channel hybrid automatic repeat request response, the MAC layer command operation timing, and the channel state information reference resource timing.

[0017] In step S2, the NTN random access refers to implementing the NTN random access process defined in 3GPP TS38.213, including NTN random access preamble determination and NTN random access timer adjustment; the NTN random access preamble determination refers to determining the physical resource block configuration information required for NTN random access preamble calculation based on the physical layer resource blocks and synchronization signal blocks defined in 3GPP TS38.211; the NTN random access timer adjustment refers to adding K to the original NR random access response window. mac Value, the K mac The value is the round-trip time from the reference location to the satellite node in NTN communication, calculated according to the specifications in the 3GPP TS38.331 standard.

[0018] Secondly, this invention provides a simulation system for PHY layer synchronization and scheduling optimization based on the 3GPP NTN standard, comprising:

[0019] The orbit and constellation model building module is used to build orbit models based on NTN ephemeris data defined in 3GPP TR38.821 and to build satellite constellation models based on parameters defined in 3GPP TR38.821.

[0020] The synchronization and scheduling optimization module is used to construct 3GPP NTN physical layer functional modules based on the satellite constellation model, and realize NTN channel characteristic calculation, NTN timing advance calculation and NTN random access.

[0021] The scenario parameter library construction module is used to set 3GPP NTN simulation scenario parameters according to the orbit model and the satellite constellation model, and to construct a 3GPP NTN scenario parameter library covering the parameters defined in the 3GPP TR38.821 standard;

[0022] The simulation module is used to perform joint simulation of the 3GPP NTN physical layer functional modules based on the simulation scenario parameters, and to perform performance statistics on the simulation experimental data.

[0023] Thirdly, the present invention provides a computer program product, including computer-readable instructions, characterized in that, when the computer-readable instructions are executed by a processor, they implement the steps of a PHY layer synchronization and scheduling optimization simulation method based on the 3GPP NTN standard of the present invention.

[0024] Fourthly, the present invention provides a computer-readable storage medium including computer-readable instructions, characterized in that the computer-readable instructions, when executed by a processor, implement the steps in a PHY layer synchronization and scheduling optimization simulation method based on the 3GPP NTN standard of the present invention.

[0025] Fifthly, the present invention provides an electronic device, comprising: a memory storing program instructions; and a processor connected to the memory, executing the program instructions in the memory to implement the steps in the PHY layer synchronization and scheduling optimization simulation method based on the 3GPP NTN standard of the present invention.

[0026] Compared with the prior art, the present invention has the following technical advantages:

[0027] The simulation method and system provided by this invention strictly follow the relevant standards of the 3GPP NTN physical layer. It can simulate the physical layer synchronization mechanism specified in the 3GPP NTN standard, verify the actual effect of the NTN physical layer enhancement functions (such as Common TA and extended HARQ process) in 3GPP TR38.821 and TS38.213, and promote the implementation of the 3GPP NTN standard.

[0028] The simulation system can be integrated into the NS3 simulation platform. Through simulation, potential problems can be predicted and resolved before actual deployment, thereby reducing R&D costs and time, and accelerating the R&D and deployment process of NTN technology.

[0029] Other advantages of this invention are described in the embodiments section. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a flowchart of a simulation method for PHY layer synchronization and scheduling optimization based on the 3GPP NTN standard, as shown in the embodiment.

[0032] Figure 2This is a block diagram of a simulation system for PHY layer synchronization and scheduling optimization based on the 3GPP NTN standard, as shown in the embodiment.

[0033] Figure 3 This is a schematic diagram illustrating the relationship between NTN propagation delay and timing advance.

[0034] Figure 4 This is a block diagram of the components of an electronic device. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0036] Please see Figure 1 This embodiment provides a simulation method for PHY layer synchronization and scheduling optimization based on the 3GPP NTN standard, which includes the following steps:

[0037] S1. Construct an orbital model based on the NTN ephemeris data defined in 3GPP TR38.821, and construct a satellite constellation model based on the parameters defined in 3GPP TR38.821.

[0038] S2, based on the satellite constellation model, constructs 3GPP NTN physical layer functional modules to realize NTN channel characteristic calculation, NTN timing advance (TA) calculation, and NTN random access.

[0039] S3 sets the 3GPP NTN simulation scenario parameters based on the orbit model and satellite constellation model, which means building a 3GPP NTN scenario parameter library that covers the key parameters defined in the 3GPP TR38.821 standard.

[0040] The simulation scene parameters include:

[0041] General parameters: carrier frequency, subcarrier spacing;

[0042] Channel and antenna parameters: channel model, antenna model;

[0043] Satellite-specific parameters: orbital altitude, inclination, transmitter gain (TxGain), receiver gain (RxGain);

[0044] Ground terminal specific parameters: receiver gain (RxGain), transmitter power (TxPower), and transmitter antenna gain (TxGain).

[0045] S4. Based on the simulation scenario parameters, perform joint simulation of the 3GPP NTN physical layer functional modules and perform performance statistics on the simulation experimental data.

[0046] The simulation data includes timing error, synchronization convergence time, throughput, end-to-end delay, HARQ retransmission overhead, and the number of HARQ retransmissions. Timing error is the deviation between the actual transmission timing and the desired ideal synchronization timing. The timing error metric helps to implement and verify the effectiveness of the synchronization mechanism.

[0047] In a more comprehensive solution, after obtaining simulation experimental data, the simulation scenario parameters can be adjusted based on the simulation experimental data to make these data indicators point to the desired outcome, such as increased throughput and reduced latency after adjustment.

[0048] In step S1 above, the NTN ephemeris data includes orbital parameters and satellite-related parameters. The orbital parameters specifically include the semi-major axis, eccentricity, inclination, right ascension of the ascending node, and the angle of perigee. The satellite-related parameters specifically include the mean anomaly at a reference point in time and the epoch. These satellite-related parameters are used to determine the exact position of the satellite at a given moment.

[0049] In step S1, the orbital model is constructed based on the NTN ephemeris data defined in 3GPP TR38.821. This is achieved by parsing the ephemeris data using the SGP4 algorithm to generate the satellite's real-time position P and velocity vector V in the J2000 coordinate system. The SGP4 algorithm is a mature algorithm tool that can be directly called.

[0050] The parameters defined in 3GPP TR38.821 include the number of orbit planes, the number of satellites in a single orbit plane, the orbital plane inclination, and the orbital altitude. A satellite constellation model is constructed based on the parameters defined in 3GPP TR38.821.

[0051] In step S2 above, the NTN channel characteristic calculation is based on the NTN channel model defined in 3GPP TR38.811, and the path loss, shadow fading, atmospheric absorption, and rain attenuation are calculated respectively.

[0052] The NTN Timing Advance (TA) calculation is based on the NTN time slot relationships specified in 3GPP TR38.821 and 3GPP TS38.213 standards. Building upon the existing NS3 NR project, it implements enhanced NR physical layer time slot relationships. These enhanced NR physical layer time slot relationships utilize K... offset Offset values ​​enhance multiple timing relationships involved in the NR physical layer, thereby resolving the issue of asynchronous uplink and downlink frame timing in NTN scenarios. K offset The offset calculation method follows the 3GPP TS38.300 standard rules. The multiple timing relationships include the transmission timing of the Physical Uplink Shared Channel (PUSCH) scheduled by Downlink Control Information (DCI), the transmission timing of the Physical Uplink Shared Channel (PUSCH) scheduled by Random Access Response (RAR), the transmission timing of the Hybrid Automatic Repeat reQuest Acknowledgement (HARQ-ACK) of the Physical Uplink Control Channel (PUCCH), the MAC Command Entity (MAC CE) operation timing, and the Channel State Information (CSI) reference resource timing. The enhancement refers to utilizing K... offset This value compensates for the NTN propagation delay.

[0053] Specifically, after the user (UE) side node receives the system broadcast message (SIB1), the UE sends a random access preamble to the network side node through the physical layer uplink. The calculation method for the UE-side uplink transmit time slot M is as follows:

[0054] M = n + n processingDealy +1+2 μ *K offset

[0055] Where n is the time slot in which the UE most recently received physical layer downlink shared channel (PDSCH) data, n processingDealy The number of time slots used to handle latency is calculated as follows: The number of time slots occupied by each subframe, N T,1 To account for the processing delay (in milliseconds) between the time the downlink data is received and the time the earliest uplink acknowledgment code is initiated, N T,2 To account for the processing delay (in milliseconds) between the time the uplink control information is received and the time the uplink data is ready to be initiated, N TA,max For the maximum timing pre-set value (in milliseconds), N TA,max The value is related to the value of μ. When the value of μ is 0, 1, 2, 3, or 4, N TA,max The corresponding values ​​are 2ms, 1ms, 0.5ms, 0.27ms, and 0.15ms, respectively. sf K represents the time (in milliseconds) occupied by a unit subframe. offset The calculation method is K offset =K cell,offset -K UE,offset K ccel,offset The value provided by K for the cellSpecificKoffset field in NTN broadcast messages. UE,offset The value carried by the MAC layer MAC CE command, at this time K UE,offset =0.

[0056] Network-side nodes measure UE uplink transmission activity to correct TA information and transmit it to the UE via a Random Access Response (RAR). The RAR includes TA information used to compensate for NTN propagation delay. commom Information. After receiving the RAR, the UE will correct the TA value for the next transmission. Specifically, the total time required for correction is T. TA :

[0057]

[0058] Where, N TA N is the initial system setting value. TA,offset This refers to the value of the n-timingAdvanceKOffset field in SIB1. The value is based on TA commom Delay obtained from information calculation common (t).

[0059]

[0060] Among them, TA Common TA CommonDrift and TA CommonDriftVariant These are the fields ta-Common, ta-CommonDrift, and ta-CommonDriftVariant from the NTN configuration information included in the RAR. epoch Configure the epochTime field for NTN. The time slot corresponding to the UE service link propagation delay. in

[0061] The NTN random access refers to the implementation of the NTN random access process defined in 3GPP TS38.213, including NTN random access preamble determination and NTN random access timer adjustment. NTN random access preamble determination refers to determining the physical resource block configuration information required for NTN random access preamble calculation based on the physical layer resource block and synchronization signal block (SS / PBCH) defined in 3GPP TS38.211; the configuration information includes all fields in Table 6.3.3.2-4 of the 3GPP TS38.211 standard. The synchronization signal block (SS / PBCH) implements the synchronization signal block structure specified in 3GPP TS38.211. NTN random access timer adjustment refers to correcting the start time of the NTN random access response time window, specifically by adding K to the original NR random access response window. mac Value. K mac The value is the round-trip time from the reference location (RP) to the satellite node in NTN communication, calculated according to the specifications in the 3GPP TS38.331 standard. Figure 3 As shown.

[0062] Please see Figure 2 Based on the same inventive concept, this embodiment also provides a simulation system for PHY layer synchronization and scheduling optimization based on the 3GPP NTN standard, including:

[0063] The orbit and constellation model building module is used to build orbit models based on NTN ephemeris data defined in 3GPP TR38.821 and to build satellite constellation models based on parameters defined in 3GPP TR38.821.

[0064] The synchronization and scheduling optimization module is used to build the 3GPP NTN physical layer functional modules to realize NTN channel characteristic calculation, NTN timing advance calculation and NTN random access.

[0065] The scenario parameter library construction module is used to set 3GPP NTN simulation scenario parameters and build a 3GPP NTN scenario parameter library that covers the parameters defined in the 3GPP TR38.821 standard.

[0066] The simulation module is used to perform joint simulation of the 3GPP NTN physical layer functional modules based on the simulation scenario parameters, and to perform performance statistics on the simulation experimental data.

[0067] For details on the specific execution of each module, please refer to the relevant descriptions in the aforementioned method steps; they will not be repeated here.

[0068] like Figure 4 As shown, this embodiment also provides an electronic device that may include a processor 41 and a memory 42, wherein the memory 42 is coupled to the processor 41. It is worth noting that this figure is exemplary, and other types of structures can be used to supplement or replace this structure to achieve data extraction, report generation, communication, or other functions.

[0069] like Figure 4 As shown, the electronic device may also include an input unit 43, a display unit 44, and a power supply 45. It is worth noting that the electronic device is not necessarily required to include these components. Figure 4 All components shown in the image. Furthermore, electronic devices may also include... Figure 4 For components not shown, please refer to existing technologies.

[0070] Processor 41, sometimes also called controller or operation control, may include a microprocessor or other processor device and / or logic device, which receives input and controls the operation of various components of the electronic device.

[0071] The memory 42 may be one or more of the following: a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It can store configuration information of the processor 41, instructions executed by the processor 41, and other information. The processor 41 can execute programs stored in the memory 42 to perform information storage or processing. In one embodiment, the memory 42 further includes a buffer memory, or buffer, to store intermediate information.

[0072] This invention also provides a computer program product including computer-readable instructions. When the computer-readable instructions are executed in an electronic device, the program product causes the electronic device to perform the operation steps included in the method of this invention.

[0073] This invention also provides a storage medium storing computer-readable instructions that cause an electronic device to perform the operation steps included in the method of this invention.

[0074] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0075] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0076] The embodiments described above are merely specific implementations of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications, substitutions, and improvements within the technical scope disclosed in the present invention, and these modifications, substitutions, and improvements should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for optimizing simulation of PHY layer synchronization and scheduling based on 3GPP NTN standards, characterized in that, The method comprises the following steps: S1, constructing an orbit model based on NTN ephemeris data defined in 3GPP TR38.821 and constructing a satellite constellation model based on parameters defined in 3GPP TR38.821; S2, constructing a 3GPP NTN physical layer function module according to the satellite constellation model, and realizing NTN channel characteristic calculation, NTN time advance calculation and NTN random access; S3, setting 3GPP NTN simulation scene parameters according to the orbit model and the satellite constellation model, and constructing a 3GPP NTN scene parameter library covering parameters defined in 3GPP TR38.821; S4, based on the simulation scene parameters, jointly simulating the 3GPP NTN physical layer function module, and performing performance statistics on simulation experiment data.

2. The method of claim 1, wherein the method is based on a 3GPP NTN standard, and wherein the method is a PHY layer synchronization and scheduling optimization simulation method. In the step S1, the NTN ephemeris data contains orbit-related parameters and satellite-related parameters; the orbit-related parameters contain semi-major axis, eccentricity, inclination, ascending node right ascension, and perigee argument; The satellite-related parameters specifically contain mean anomaly at a reference time point and epoch; The orbit model is constructed based on the NTN ephemeris data defined in 3GPP TR38.821 by analyzing the ephemeris data through an SGP4 algorithm to generate real-time position and velocity vector of a satellite in a J2000 coordinate system.

3. The method of claim 1, wherein, In the step S1, the parameters include the number of orbits, the number of satellites per orbit, the orbit inclination and the orbit altitude; The satellite constellation model is constructed based on the parameters defined in 3GPP TR38.821, which comprises designing and implementing a mobility model and an orbit position locator in NS3, the orbit position locator respectively realizing polar orbit and circular orbit position positioning, and setting the methods SetPositionAllocator() and SetMobilityModel() of MobilityHelper through the Install() method in NtnNodeHelper, the input parameters of SetPositionAllocator() including the number of orbits and the number of satellites per orbit, and the input parameters of SetMobilityModel() including the orbit altitude and the orbit inclination.

4. The method of claim 1, wherein the method is based on a 3GPP NTN standard, and the method further comprises: In the step S2, the NTN channel characteristic calculation is based on the NTN channel model defined in 3GPP TR38.811, and the calculation of path loss, shadow fading, atmospheric absorption loss and rain attenuation is realized.

5. The method of claim 1, wherein the method is based on a 3GPP NTN standard, and the method further comprises: determining a time offset between the first time and the second time; and determining a time offset between the third time and the fourth time. The NTN time advance calculation in the step S2 is based on the NTN time slot relationship specified in the 3GPP TR38.821 and 3GPP TS38.213 standards, and an enhanced NR physical layer time slot relationship is realized on the basis of the existing NS3 NR project. The enhanced NR physical layer time slot relationship utilizes K offset The offset value enhances multiple timing relationships involved in the NR physical layer, including the transmission timing of the physical layer uplink shared channel scheduled by the downlink control information, the transmission timing of the physical layer uplink shared channel scheduling granted by the random access response, the transmission timing of the physical layer uplink control channel hybrid automatic repeat request response, the MAC layer command operation timing, and the channel state information reference resource timing.

6. The method of claim 1, wherein the method is based on a 3GPP NTN standard, and In the step S2, the NTN random access refers to implementing an NTN random access procedure defined in 3GPP TS 38.213, including NTN random access preamble determination and NTN random access timer adjustment; the NTN random access preamble determination refers to determining physical resource block configuration information required for NTN random access preamble calculation based on physical layer resource blocks and synchronization signal blocks defined in 3GPP TS 38.211; the NTN random access timer adjustment refers to adding a K mac value to the original NR random access response window, wherein the K mac value is a round-trip time from a reference location to a satellite node in NTN communication calculated according to a regulation in 3GPP TS 38.331 standard.

7. A simulation system for 3GPP NTN standard based PHY layer synchronization and scheduling optimization, characterized in that, The method comprises: An orbit and constellation model construction module, configured to construct an orbit model based on NTN ephemeris data defined in 3GPP TR38.821 and construct a satellite constellation model based on parameters defined in 3GPP TR38.821; A synchronization and scheduling optimization module, configured to construct a 3GPP NTN physical layer function module according to the satellite constellation model, and realize NTN channel characteristic calculation, NTN time advance calculation and NTN random access; A scenario parameter library construction module, configured to set 3GPP NTN simulation scenario parameters according to the orbit model and the satellite constellation model, and construct a 3GPP NTN scenario parameter library covering parameters defined in the 3GPP TR38.821 standard; A simulation module, configured to perform joint simulation on the 3GPP NTN physical layer function module based on the simulation scenario parameters, and perform performance statistics on simulation experiment data.

8. A computer program product comprising computer readable instructions, characterized in that, The computer readable instructions, when executed by the processor, implement the steps of the PHY layer synchronization and scheduling optimization simulation method based on the 3GPP NTN standard in any one of claims 1-6.

9. A computer-readable storage medium comprising computer-readable instructions, wherein, The computer readable instructions, when executed by the processor, implement the steps of the PHY layer synchronization and scheduling optimization simulation method based on the 3GPP NTN standard in any one of claims 1-6.

10. An electronic device, comprising: Comprise: A memory, storing program instructions; A processor, connected with the memory, executing the program instructions in the memory, and implementing the steps of the PHY layer synchronization and scheduling optimization simulation method based on the 3GPP NTN standard in any one of claims 1-6.

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