Common orbit satellite system and 5GNR system coexistence interference simulation method and device

Abstract

The invention discloses a co-orbit satellite system and 5GNR system coexistence interference simulation method and device, and is used for solving the problems of complex simulation system and low simulation efficiency in the prior art, and the method comprises the steps: S11, constructing an interference evaluation scene; s12, configuring related parameters of a synchronous orbit satellite system, a 5GNR system, a 5GNR user terminal, a satellite user terminal and the like according to the interference scene; s13, distributing 5GNR base stations in the coverage area of the satellite network according to the configuration parameters; s14, distributing satellite network users and 5GNR user terminals, and establishing association between the users and the base station; and S15, calculating signal to interference plus noise ratios of the single system and the heterogeneous system, and performing interference assessment by adopting a throughput loss method. According to the method, the complexity of evaluation between large-scale heterogeneous systems can be reduced, the evaluation process between the large-scale heterogeneous systems is simplified, the simulation efficiency is high, and the practicability is high.

Description

Technical Field

[0001] This invention relates to a method and apparatus for simulating interference between a co-orbiting satellite system and a 5G NR system, belonging to the field of wireless communication technology. Background Technology

[0002] In recent years, the deep integration of satellite communication and cellular communication has become the core direction for high-quality development in the mobile communication field, and a key path to achieving an integrated air-space-ground communication network architecture. Over the long technological evolution cycle, satellite communication and terrestrial mobile communication have developed in parallel, relying on their respective independent industrial systems, technical standards, and application scenarios. Satellite communication, with its wide-area coverage capabilities, plays an irreplaceable role in remote areas, oceans, aviation, and other scenarios where terrestrial networks are difficult to reach; while terrestrial mobile communication, represented by 5G NR (Fifth Generation New Radio), supports the needs of high-density business scenarios such as smart cities, the industrial internet, and the internet of vehicles through its high-speed, low-latency, and massive connectivity advantages.

[0003] Before the formal deployment of co-orbiting satellite systems, a key prerequisite is to clarify their potential impact on existing terrestrial 5G NR networks. The core of this impact lies in inter-system interference. From the perspective of actual network deployment needs, due to the scarcity of spectrum resources, co-orbiting satellite systems and 5G NR systems necessitate adjacent or even co-channel deployments in certain frequency bands. On the one hand, to meet the demands of high-speed services, 5G NR systems continuously increase their spectrum requirements in the mid-to-high frequency bands; on the other hand, co-orbiting satellite systems also need to occupy these frequency bands, which offer both propagation characteristics and capacity advantages, to improve communication capacity and link stability. This overlap and proximity of spectrum resources inevitably leads to interference between the transmitters and receivers of the two systems, including adjacent-channel interference, adjacent-channel leakage interference, and spurious radiation interference, directly affecting the communication quality of both. Therefore, research on co-existence interference between co-orbiting satellite systems and 5GN systems has become an urgent need to promote the implementation of integrated air-space-ground communication networks, and constructing scientific co-existence interference simulation methods and devices is the core technological support for achieving this goal. Summary of the Invention

[0004] This invention provides a method and apparatus for simulating interference between a co-orbiting satellite system and a 5G NR system, in order to solve the problem that existing technologies suffer from complex interference coexistence simulation systems and inaccurate simulation results.

[0005] This invention provides a simulation method for interference between a co-orbiting satellite system and a 5G NR system, the specific steps of which are as follows:

[0006] Step S11: Construct interference assessment scenarios; the interference scenarios are as follows: 1) GEO satellite uplink interfering with 5GNR uplink; 2) 5GNR downlink interfering with GEO satellite downlink; 3) 5GNR uplink interfering with GEO satellite uplink; 4) GEO downlink interfering with 5GNR downlink.

[0007] Step S12: Configure relevant parameters for the geostationary orbit satellite system, 5GNR system, 5GNR user terminal, and satellite user terminal according to the interference scenario;

[0008] Step S13: Distribute 5G NR base stations within the satellite network coverage area according to the configuration parameters;

[0009] Step S14: Distribute satellite network users and 5G NR user terminals, and establish associations between users and base stations;

[0010] Step S15: Calculate the signal-to-interference-plus-noise ratio (SIR) of single-system and heterogeneous systems, and use the throughput loss method to assess interference.

[0011] This invention provides a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system, comprising:

[0012] The parameter initialization module is used for reading and initializing parameters. The parameter configurations for the GEO network and the 5GNR network are stored independently in two text folders. The two are configured independently. After the simulation program runs, it will load the configuration file. The parameters required in the simulation are obtained through the configuration text file. Each parameter in the configuration text file is stored in the form of key-value pairs.

[0013] The network topology generation module is used to generate topologies for both GEO and 5GNR scenarios. For GEO scenarios, the wraparound function is enabled, and the center coordinate system of each beam is obtained by projecting the UV node coordinates of the satellite beams onto the Earth's surface, followed by cell deployment. For 5GNR scenarios, the 5GNR topology needs to be generated within the GEO network coverage area.

[0014] The resource management module is used for dynamic user generation, channel modeling and establishment, and resource allocation and scheduling. This module mainly supports the random generation of 5G terrestrial users and GEO users, simulates user distribution and service requirements in a real network environment, constructs the channel between user terminals and base stations, and finally achieves optimal matching and access control between users and base stations.

[0015] The interference calculation and statistical output module is used to calculate and statistically analyze the interference situation of each user and analyze the interference situation of the entire system through data post-processing.

[0016] The advantages of this invention are:

[0017] 1. A simulation method and apparatus for coexistence interference between a geostationary satellite system and a 5GNR system reduces the complexity of interference assessment between the two systems, improves the accuracy of interference analysis, is easy to implement in engineering, is simple and efficient, and has strong practicality.

[0018] 2. A simulation method and device for coexistence interference between a co-orbiting satellite system and a 5G NR system adopts a modular design concept to decompose the complex communication system simulation task into multiple functionally independent sub-modules. This design significantly reduces the code coupling between modules and can significantly improve development efficiency, flexibility and scalability. Attached Figure Description

[0019] Figure 1 This is a flowchart of a simulation method for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention.

[0020] Figure 2 This is a schematic diagram of the structure of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention.

[0021] Figure 3 This is a flowchart of the parameter initialization module of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention.

[0022] Figure 4 This is a flowchart of the network topology generation module of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention.

[0023] Figure 5 This is a flowchart of the resource management module of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention.

[0024] Figure 6 This is a flowchart of the interference and statistical output module of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention. Specific implementation methods

[0025] To make the above-mentioned objectives and advantages of this application more apparent and understandable, this application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] This invention provides a method for simulating coexistence interference between a co-orbiting satellite system and a 5G NR system, primarily used for simulating coexistence interference between mobile communication systems. Figure 1 The simulation process for geostationary orbit satellite systems and 5G NR systems in this invention example is as follows:

[0027] Step S11: Construct interference assessment scenarios; the interference scenarios are as follows: 1) GEO satellite uplink interfering with 5GNR uplink; 2) 5GNR downlink interfering with GEO satellite downlink; 3) 5GNR uplink interfering with GEO satellite uplink; 4) GEO downlink interfering with 5GNR downlink.

[0028] Step S12: Configure relevant parameters for the geostationary orbit satellite system, 5GNR system, 5GNR user terminal, and satellite user terminal according to the interference scenario;

[0029] Step S13: Distribute 5G NR base stations within the satellite network coverage area according to the configuration parameters;

[0030] Step S14: Distribute satellite network users and 5G NR user terminals, and establish associations between users and base stations;

[0031] Step S15: Calculate the SINR of single system and heterogeneous system, and use the throughput loss method to assess interference.

[0032] Figure 2 A schematic diagram of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system, provided as an example of the present invention, is shown. The device includes:

[0033] The parameter initialization module S21 is used to uniformly manage the core parameters of the communication system simulation platform, adapt to scenario-based requirements, and simplify the simulation configuration process. By centrally defining and managing module parameters, the module ensures that the parameters of sub-modules such as transmitters, channels, and receivers are mutually matched, and it can preset scenario-based parameter templates, significantly reducing the complexity of manual configuration.

[0034] The network topology generation module S22 is used to generate satellite scene topology and 5G NR scene topology. For the satellite scene topology, the wraparound function is enabled, and the center coordinate system of each beam is obtained by projecting the UV node coordinates of the satellite beam onto the Earth's surface, and finally, cell deployment is performed.

[0035] The resource management module S23 primarily functions to dynamically generate users, model and establish channels, and allocate and schedule resources. This module mainly supports the random generation of 5G terrestrial and satellite users, simulates user distribution and service demands in a real network environment, constructs channels between user terminals and base stations, and finally achieves optimal matching and access control between users and base stations.

[0036] The interference calculation and statistics output module S24 calculates and statistically analyzes the interference situation of each user and analyzes the interference situation of the entire system through data post-processing.

[0037] Figure 3 This is a flowchart of the parameter initialization module of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention. The flowchart includes the following steps:

[0038] S31: Parameter reading and assignment. The parameter configurations for satellite network and 5GNR are stored independently in two text folders. The two are configured independently. After the simulation program runs, the configuration file will be loaded. The parameters required in the simulation are obtained through the configuration text file. Each parameter in the configuration text file is stored in the form of key-value pairs. Each parameter has a corresponding name as the key and the parameter value as the value. When retrieving a parameter, the value of the parameter can be obtained through the key.

[0039] S32: Construct parameter sets, converting 5G NR technical specifications such as subcarrier spacing, frame structure, and PRB quantity into a quantifiable and structured set of parameters, and adapting to the differentiated needs of multiple service scenarios.

[0040] S33: Scene initialization, constructing different scene types according to the configuration, assigning values ​​to scene-related parameters, reading and assigning values ​​from the link adaptive MCS table, and constructing analog beam precoding.

[0041] Figure 4 This is a flowchart of the network topology generation module of a coexistence interference simulation device for a co-orbiting satellite system and a 5G NR system according to the present invention. The flowchart includes the following steps:

[0042] S41: Initialize scenario parameters. After the parameter initialization module has completed the assignment of various system parameters, the simulation platform imports parameters for different scenarios. These parameters provide the corresponding scenario parameters for satellite network systems and 5G systems, and are used for scenario modeling and channel model modeling.

[0043] S42: Generate the GEO scene topology. The satellite beams adopt a seven-beam cellular topology, meaning six co-frequency multiplexed beams form a cellular structure around the central beam. The satellite beams are defined on the UV plane of the satellite reference coordinate system and are configured in a hexagonal shape with respect to the beam center direction. The adjacent beam spacing (ABS) is determined based on the 3dB bandwidth (HPBW) of the satellite antenna pattern. In the simulation platform, entities such as base stations and users are abstracted as points independent of their size and shape. During scene initialization, the location of each base station can be calculated. Cells are managed by the base stations, and the corresponding number of cells are generated based on the determined locations of the base stations.

[0044] S43: Generate 5G NR topology. After generating the satellite scenario topology, the 5G NR scenario topology needs to be generated within the satellite network coverage area. Specifically, first, the coordinates of the 5G center base station within the satellite coverage area are randomly generated. It is necessary to ensure that the entire 5G cell cluster is within the satellite network coverage area. At the same time, to avoid edge effects, the wrap-around function should also be enabled to avoid different interferences experienced by users served by edge base stations and users served by center base stations. Then, based on the configured number of base stations and cells, the coordinates of all base stations are generated. Finally, the cells are deployed to simulate the cell characteristics in real communication scenarios.

[0045] Figure 5 This is a flowchart of the resource management module of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention. The flowchart includes the following steps:

[0046] S51: Calculate the number of 5G NR users to be deployed. The number of users deployed in each cell can be set in the parameter initialization module. Generally, 20 users are deployed in each cell. The total number of users can be calculated from the number of cells generated and the number of users per cell.

[0047] S52: Deploying 5G NR Users. This module's function is to deploy the required number of users to each cell, and to determine the geographical location information, wireless propagation characteristics, and serving cell for each user. First, an initial set of user locations is generated within a reference hexagonal cell using a uniform distribution algorithm. Then, a coordinate offset transformation is used to map the user locations to adjacent cells, ultimately obtaining the geographical location distribution of all users.

[0048] S53: Calculate the required number of satellite users to be deployed. The number of satellite users deployed at the edge of the 5G NR network cluster can be set in the parameter initialization module, typically set to 9.

[0049] S54: Satellite users are deployed. Numerous satellite points are scattered across the Earth's surface to generate a candidate satellite user list. The list of candidate satellite users is then determined based on their eligibility. If eligible, they are identified as satellite users and assigned a number. The determination criterion is whether the satellite user is at the edge of the isolation distance. Next, the satellite users are constructed, generating downlink channels for each user and satellite. The downlink channel model uses a free path loss model, where path loss is primarily related to the satellite elevation angle. Then, similar to 5G users, satellite users access the satellite cell using a soft handover mechanism. The signal power received by the satellite user from each satellite beam is calculated, generating a candidate beam set. The received power of all beams in the candidate beam set is within the handover window, with a handover margin of 3dB. The satellite user randomly accesses a beam from the candidate beam set as its serving beam. Finally, the serving beam information is written into the satellite user object.

[0050] S55: Generates 5G base station to satellite user channels, and each satellite user establishes a channel list to all base stations.

[0051] S56: Generate satellite-to-5G user channels, calculate the path loss from each 5G user to the satellite, and store it in the channel list.

[0052] S57: Generate channels from satellite users to 5G users, calculate the path loss from each NTN user to each 5G user, and store it in the channel list.

[0053] Figure 6 This is a flowchart of the interference and statistical output module of a simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system according to the present invention. The flowchart includes the following steps:

[0054] S61: Calculate the system transmit power. The uplink user transmit power is the power after power control, and the downlink transmit power is the base station transmitter transmit power.

[0055] S62: Calculate the system coupling loss. The coupling loss from the user to the serving cell can be retrieved through the resource management module.

[0056] S63: Inter-system interference is divided into two cases. If it is uplink, it is necessary to traverse the interference generated by users in all cells other than the serving cell. If it is downlink, it is necessary to traverse the interference generated by base stations in other cells other than the serving cell base station.

[0057] S64: The interference generated by the interference system is divided into two cases. If it is uplink, it is necessary to traverse the interference generated by the users of the interference system; if it is downlink, it is necessary to traverse the interference generated by the base station of the interference cell.

[0058] S65: Statistical output and data post-processing. Export the signal-to-interference-plus-noise ratio (SIR) of each user before and after joining the interference system, perform mapping to obtain the throughput, and evaluate the interference situation of the system through throughput loss to determine whether the two systems can coexist.

[0059] The specific steps for assessing system interference based on throughput loss to determine whether the two systems can coexist are as follows:

[0060] Step 1: Calculate the signal-to-interference-plus-noise ratio (SINR1) of the interfered system under single-system conditions and the SINR2 under mutual interference conditions.

[0061] Step 2: Calculate the throughput T1 of the interfered system under single-system conditions and the throughput T2 under mutual interference conditions based on the signal-to-interference-to-noise ratio (SINR) in Step 1.

[0062] Step 3: Calculate the inter-system throughput loss C based on the throughput of the interfered system under single-system conditions and the throughput under mutual interference conditions obtained in Step 2. Loss .

Claims

1. A method for simulating interference between a geostationary satellite system and a 5G NR system, used for simulating interference from a geostationary satellite system to a 5G NR system, characterized in that, include: Step S11: Construct an interference assessment scenario; The interference scenarios are as follows: 1) GEO satellite uplink interference with 5G NR uplink scenario; 2) 5GNR downlink interference with GEO satellite downlink scenario; 3) 5GNR uplink interference with GEO satellite uplink scenario; 4) GEO downlink interference with 5GNR downlink scenario. Step S12: Configure relevant parameters for the geostationary orbit satellite system, 5GNR system, 5GNR user terminal, and satellite user terminal according to the interference scenario; Step S13: Distribute 5G NR base stations within the satellite network coverage area according to the configuration parameters; Step S14: Distribute satellite network users and 5G NR user terminals, and establish associations between users and base stations; Step S15: Calculate the signal-to-interference-plus-noise ratio (SIR) of single-system and heterogeneous systems, and use the throughput loss method to assess interference.

2. The method according to claim 1, characterized in that, In the scenario where GEO satellite uplink interferes with 5G NR uplink, the transmitting end is a 5G user terminal, the receiving end is a 5G base station, and the interference source is the GEO user terminal. In the scenario where the 5G NR downlink interferes with the GEO satellite downlink, the transmitting end is the GEO satellite, the receiving end is the GEO terminal user, and the interference source is the 5G base station. In the scenario where 5G NR uplink interferes with GEO satellite uplink, the transmitting end is the GEO satellite user terminal, the receiving end is the satellite, and the interference source is the 5G user terminal. In the GEO downlink interference 5GNR downlink scenario, the transmitting end is a 5G base station, the receiving end is a 5G user terminal, and the interference source is a GEO satellite.

3. The method according to claim 1, characterized in that, The process involves configuring relevant parameters for the geostationary orbit satellite system, 5G NR system, 5G NR user terminal, and satellite user terminal based on the interference scenario. This includes: The simulation scenarios for 5G NR networks include urban macrocells (UMa) and rural macrocells (RMa), base station antenna types such as indoor single-sector and indoor three-sector antennas, the number of base station antenna arrays and the spacing between antenna elements, the number of 5G users, the number of satellite users, the number of active users per cell, and the maximum transmit power of users.

4. The method according to claim 1, characterized in that, The distribution of 5G NR base stations within the satellite network coverage area according to configuration parameters includes: Based on the line-of-sight direction of the satellite antenna, a geometric projection model of its radiating beam is established to determine its illumination range on the Earth's surface. Within the beam coverage area, a spatial random geometry method is used to generate the distribution of ground base station nodes, and a ground network topology is generated based on the number of management sectors.

5. The method according to claim 1, characterized in that, The distribution of 5G NR base stations within the satellite network coverage area according to configuration parameters includes: The management sector range is determined based on the base station's location, and points are evenly distributed within these areas to obtain the user's three-dimensional coordinates. Simultaneously, user characteristic information is determined, such as whether the user uses line-of-sight or non-line-of-sight transmission, and the user's transmit antenna angle and height. Users are then associated with base stations, and users are randomly connected to base stations within the minimum coupling loss plus handover boundary range. Polling scheduling is used, and beamforming weights are adjusted to point towards the user's line-of-sight axis from the base station.

6. The method according to claim 1, characterized in that, The calculation of the signal-to-interference-plus-noise ratio (SIR) for single-system and heterogeneous systems employs a throughput loss method for interference assessment, including: The throughput loss method is used for evaluation. For all active users, the signal-to-interference-plus-noise ratio (SINR) before the interference system is added (SINR1) and the SINR after the interference system is added (SINR2) are calculated separately to determine the inter-system throughput loss C. Lass This is to assess whether the two systems can coexist.

7. A simulation device for coexistence interference between a co-orbiting satellite system and a 5G NR system, characterized in that, include: The parameter initialization module is used for reading and initializing parameters. The parameter configurations for the GEO network and the 5GNR network are stored independently in two text folders. The two are configured independently. After the simulation program runs, it will load the configuration file. The parameters required in the simulation are obtained through the configuration text file. Each parameter in the configuration text file is stored in the form of key-value pairs. The network topology generation module is used to generate topologies for both GEO and 5GNR scenarios. For GEO scenarios, the wraparound function is enabled, and the center coordinate system of each beam is obtained by projecting the UV node coordinates of the satellite beams onto the Earth's surface, followed by cell deployment. For 5GNR scenarios, the 5GNR topology needs to be generated within the GEO network coverage area. The resource management module is used for dynamic user generation, channel modeling and establishment, and resource allocation and scheduling. This module mainly supports the random generation of 5G terrestrial users and GEO users, simulates user distribution and service requirements in a real network environment, constructs the channel between user terminals and base stations, and finally achieves optimal matching and access control between users and base stations. The interference calculation and statistical output module is used to calculate and statistically analyze the interference situation of each user and analyze the interference situation of the entire system through data post-processing.

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