Large-bandwidth transmission and resource allocation method and system based on satellite communication

Abstract

The invention relates to the technical field of satellite communication, in particular to a large-bandwidth transmission and resource allocation method and system based on satellite communication. The method comprises the following steps: acquiring satellite data; performing system energy efficiency modeling according to satellite data to serve as an optimization target; setting an optimization constraint condition; constructing a system energy efficiency maximization problem by integrating the optimization target and the optimization constraint condition; and solving the system energy efficiency maximization problem. According to the invention, through the research on the high-efficiency transmission and resource optimization technology of the large-bandwidth service based on satellite communication, the bandwidth self-adaptive technology and the high-quality transmission technology based on satellite communication are broken through, and key technologies such as a routing protocol, a control strategy, safety and reliability of large-bandwidth service data transmission are mastered.

Description

Technical Field

[0001] The present invention relates to the field of satellite communication technology, and in particular to a large bandwidth transmission and resource configuration method and system based on satellite communication. Background Art

[0002] Satellite communication systems have unique advantages, especially insensitivity to distance. They can flexibly and conveniently connect to any station within the satellite coverage area over a large area. Satellite ground stations are independent of the complex terrain conditions of the area where they are located. They are particularly suitable for use in the complex geography, terrain, and electromagnetic environment of large comprehensive cities, and have advantages that other communication methods cannot match. Using satellite communication technology to build a flexible, safe, reliable, well-planned, and moderately sized power emergency command and communication system, increase self-contained mobile communication means, and overall improve the emergency communication capabilities required to respond to natural disasters, deal with emergencies, and ensure major events With the development of new power systems, the demand for flexible, efficient and random access communications by multiple entities is becoming increasingly urgent. For areas with harsh geographical environments and sparse populations, the main communication methods of the power industry cannot guarantee stable communications. Satellite communications have the advantages of large coverage areas, suitable for a wide range of business types, flexible networking, low cost and independent communication distance, making it possible to rely on satellite communications to effectively cover communication blind spots. Therefore, in areas where communication networks cover blind spots, satellite communications will become an important supplementary method and gradually become an important part of power communications.

[0003] For the power business communication system, it is not enough to rely on a single satellite communication system in terms of cost investment, carrying capacity, safety and reliability, and it is difficult to fully meet the different power business communication needs. Therefore, it is necessary to consider using a more complex satellite communication system to match the different granularity power business communication needs. For different types of communication satellites, their basic structure and performance are quite different, and they have different service capabilities and technical characteristics. In actual use, different types of communication satellites have large differences in bandwidth resources, access flexibility, transmission reliability, working performance, communication charges, etc., and their adaptability to different power businesses needs to be further analyzed and clarified. In addition, in the application process of satellite communication technology, it is necessary to flexibly consider communication networks of different structures, efficiently combine ground-based, space-based, and air-based networks, and reasonably allocate and dispatch satellite communication resources, so as to realize a multi-system compatible air-ground integrated collaborative satellite communication system to meet the flexible communication needs of the entire power air-ground-ground domain.

[0004] To sum up, in the existing typical business scenarios of the power industry, it is urgent to carry out technical research on satellite converged communication technology architecture for power business, satellite communication bandwidth adaptation, resource allocation optimization, scheduling management, security encryption, air-space-ground collaborative networking, etc., so as to solve the problem of satellite converged communication in typical power business scenarios and realize safe, reliable and flexible transmission of power business. Summary of the invention

[0005] In order to solve the above-mentioned problems, the present invention provides a large bandwidth transmission and resource configuration method and system based on satellite communication.

[0006] In a first aspect, the present invention provides a large bandwidth transmission and resource configuration method based on satellite communication, which adopts the following technical solution: A large bandwidth transmission and resource configuration method based on satellite communication, comprising: Get satellite data; System energy efficiency modeling based on satellite data as an optimization target; Set optimization constraints; Combine optimization objectives and optimization constraints to construct the system energy efficiency maximization problem; Solve the problem of maximizing system energy efficiency.

[0007] Furthermore, the system energy efficiency modeling based on the acquired satellite data also includes considering the satellite communication system The comprehensive transmission performance of each data stream defines the system energy efficiency for: In the formula, For the The intersatellite link energy efficiency of 1 data stream, No. Energy efficiency of satellite-to-ground link for 1 data stream.

[0008] Furthermore, in the system energy efficiency, The energy efficiency of the satellite-to-ground link with a data stream is expressed as: In the formula, For the Select satellite for each data stream and The corresponding routing variables for transmission between intersatellite links are For the Select satellite for each data stream and The energy efficiency of the inter-satellite links between them.

[0009] Furthermore, in the satellite-to-ground link energy efficiency, the energy efficiency corresponding to the transmission of the inter-satellite link is expressed as: In the formula, The satellite circuit consumes power. For satellite The first Data streams transmitted to satellite The corresponding transmission power is For the Data streams on satellite and The rate corresponding to the inter-satellite link transmission between them.

[0010] Furthermore, in the energy efficiency corresponding to the transmission of the inter-satellite link, the rate corresponding to the transmission of the inter-satellite link is expressed as: In the formula, For satellite and The free space loss of the link between is the satellite’s transmitting antenna gain, is the satellite receiving antenna gain, is the Boltzmann constant, Total system noise temperature, is the energy consumption required for the satellite to send a unit bit, is the power spectral density of the intersatellite link noise.

[0011] Furthermore, in the rate corresponding to the intersatellite link transmission, the free space loss is expressed as: In the formula, For satellite and The distance between the links, is the speed of light, is the carrier frequency Furthermore, the solution to the system energy efficiency maximization problem includes decomposing the system energy efficiency maximization problem into three sub-problems, including a power allocation sub-problem, an inter-satellite network routing sub-problem and an end-to-end routing sub-problem, and solving the three sub-problems separately.

[0012] In a second aspect, a large bandwidth transmission and resource allocation system based on satellite communication includes: The data acquisition module is configured to acquire satellite data; The optimization target module is configured to perform system energy efficiency modeling based on satellite data as an optimization target; A constraint module is configured to set optimization constraints; The problem building module is configured to,combine the optimization objectives and optimization constraints to build the,system energy efficiency maximization problem; The solution module is configured to solve the problem of maximizing system energy efficiency.

[0013] In a third aspect, the present invention provides a computer-readable storage medium storing a plurality of instructions, wherein the instructions are suitable for being loaded by a processor of a terminal device and executing the method for large-bandwidth transmission and resource configuration based on satellite communication.

[0014] In a fourth aspect, the present invention provides a terminal device comprising a processor and a computer-readable storage medium, wherein the processor is used to implement various instructions; the computer-readable storage medium is used to store multiple instructions, wherein the instructions are suitable for being loaded by the processor and executing the method for large-bandwidth transmission and resource configuration based on satellite communication.

[0015] In summary, the present invention has the following beneficial technical effects: The present invention conducts research on high-efficiency transmission of large-bandwidth services and resource optimization allocation technology based on satellite communications, thereby breaking through bandwidth adaptation technology and high-quality transmission technology based on satellite communications, mastering key technologies such as routing protocols, control strategies, security and reliability of large-bandwidth business data transmission, and studying satellite communication resource allocation optimization and business data safe and reliable transmission solutions, so as to achieve safe, reliable and high-quality transmission of large-bandwidth business data based on satellite communications. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Schematic diagram of a large bandwidth transmission and resource configuration method based on satellite communication according to Embodiment 1 of the present invention; Figure 2 It is a schematic diagram of the spatial topology of the satellite communication system of Example 1 of the present invention. DETAILED DESCRIPTION

[0017] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0018] Example 1 Reference Figure 1 The present embodiment provides a large bandwidth transmission and resource configuration method based on satellite communication, which specifically includes the following steps: S1. Obtain satellite data.

[0019] Assume that the number of SLEO satellites and target GS is , the number of RLEO satellites is , the number of data flows in the network is , No. The SLEO satellites and the target GS of the data streams are represented as , , .Certainly represents a satellite set, where Indicates RLEO satellites, , Represents a GEO satellite. Since satellites move at high speed along their orbits, the links between satellites (referred to as intersatellite links) and the links between satellites and GS (referred to as satellite-GS links) may change dynamically. In order to indicate the connection status of the communication link, a binary connection identifier is introduced here.

[0020] set up Indicates satellite and If express and Connection, that is and Data can be directly transmitted between them, otherwise, , .surface Satellite Destination ground station If express and Direct connection, otherwise, , , . Figure 2 Schematic diagram of the satellite system spatial topology.

[0021] S2. Optimization Problem Modeling 2.1 System Energy Efficiency Modeling Consider satellite communication systems The comprehensive transmission performance of each data stream defines the system energy efficiency for: (4-9) In the formula, For the The energy efficiency of the intersatellite link for data streams, No. The satellite-to-ground link energy efficiency of data streams is: It can be expressed as: (4-10) In the formula, For the Select satellite for each data stream and The inter-satellite links between them are used to transmit the corresponding routing variables. For the Select satellite for each data stream and The energy efficiency of the intersatellite link transmission between them. ,like Indicates Data streams via satellite and The link transmission between them, vice versa, , , , . It can be expressed as: (4-11) In the formula, The satellite circuit consumes power. For satellite The first Data streams transmitted to satellite The corresponding transmission power is For the Data streams on satellite and The corresponding rate of intersatellite link transmission between. It can be expressed as follows: (4-12) In the formula, For satellite and The free space loss of the link between is the satellite’s transmitting antenna gain, is the satellite receiving antenna gain, is the Boltzmann constant, Total system noise temperature, is the energy consumption required for the satellite to send a unit bit, is the power spectral density of the intersatellite link noise. and Free space loss of the link between The statement is as follows: (4-13) In the formula, For satellite and The distance between the links, is the speed of light, is the carrier frequency In formula (4-9), Energy efficiency of satellite-to-ground link with 4 data streams The statement is as follows: (4-14) In the formula, For the data stream on the satellite and ground stations The routing variables corresponding to the satellite-to-ground link transmission between the two. For the Data streams on satellite and ground stations The energy efficiency of the satellite-to-ground link transmission between ,like , indicating the Data streams pass through the satellite and ground stations The link transmission between them, vice versa, , , . It can be expressed as: (4-15) In the formula, For satellite The first Data streams are transmitted to the ground station The corresponding transmission power is For the kth data stream on the satellite and ground stations The corresponding rate of satellite-to-ground link transmission between. It can be expressed as follows: (4-16) In the formula, For satellite With ground station The free space loss of the link, is the ground station receiving antenna gain, is the bandwidth of the satellite, is the link rain attenuation coefficient, is the noise power. With ground station Free space loss of the link between The statement is as follows: (4-17) S3. Optimize constraints The optimization design of satellite communication system joint routing and resource allocation strategy must meet constraints such as flow conservation, routing selection, and maximum transmission power.

[0022] (1) Traffic conservation constraints. When transmitting user data streams through intersatellite links and satellite-to-ground links, the traffic conservation constraints of SLEO satellites, RLEO satellites, and ground stations GS should be met. More specifically, the SLEO satellite All data streams need to be transmitted to the destination surface station by direct transmission or relay forwarding. or RLEO satellites.

[0023] (2) Routing constraints: Since data streams can only be transmitted along existing physical links in the satellite network, the routing strategy should follow the connection status of the inter-satellite links and the satellite-to-ground links.

[0024] (3) Transmission power constraints: The satellite’s transmission power must be limited by its maximum transmission power.

[0025] (4) Transmission rate constraints. Considering the different transmission rate requirements of data streams, it is assumed that the data streams sent by various SLEO satellites may be subject to a minimum transmission rate requirement.

[0026] Taking into account the optimization objectives and corresponding optimization constraints, the joint routing selection and resource allocation problem is modeled as a system energy efficiency maximization problem: (4-18) S4. Solving the optimization problem Since the optimization problem (4-18) is an NP-hard problem, it is difficult to solve it using traditional optimization tools. Based on this, this section first assumes that the routing strategy for the data stream is already in place, and designs the power allocation strategies for SLEO satellites and RLEO satellites respectively. In addition, considering the relatively stable characteristics of the intersatellite network, the routing subproblems for SLEO satellites and RLEO satellites can be solved, and then the end-to-end routing strategy for SLEO satellites and GS can be designed. Therefore, the proposed optimization problem is transformed into three subproblems, namely the power allocation subproblem, the intersatellite network routing subproblem, and the end-to-end routing subproblem, and these three subproblems are solved in turn.

[0027] (1) Power allocation sub-problem Assuming that the routing strategies for intersatellite links and satellite-to-GS links are given, the optimal power allocation strategy for SLEO satellites and RLEO satellites is first designed. and The satellite-to-ground link between data streams, that is, , then the satellite The power allocation problem can be expressed as follows: (4-19) (2) Intersatellite network routing selection sub-problem Given the optimal energy efficiency of inter-satellite links, the routing selection problem between SLEO and RLEO and between SLEO and GS can be solved. By modeling the inter-satellite network as a weighted graph and applying the Dijkstra shortest path algorithm, the optimal route selection strategy can be obtained.

[0028] (3) End-to-end routing selection sub-problem Based on the obtained power allocation strategy and intersatellite routing selection strategy, the end-to-end routing selection subproblem between SLEO satellites and GS can now be solved. The target satellite of the data stream can therefore rewrite The transmission energy efficiency of a data stream is expressed as follows: (4-20) In the formula, For the The routing variables of a data flow. ,like, , indicating the selection path* To transmit data streams, and vice versa. .

[0029] Example 2 This embodiment provides a large bandwidth transmission and resource allocation system based on satellite communication, including: The data acquisition module is configured to acquire satellite data; The optimization target module is configured to perform system energy efficiency modeling based on satellite data as an optimization target; A constraint module is configured to set optimization constraints; The problem building module is configured to,combine the optimization objectives and optimization constraints to build the,system energy efficiency maximization problem; The solution module is configured to solve the problem of maximizing system energy efficiency.

[0030] A computer-readable storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded and executed by a processor of a terminal device for a large-bandwidth transmission and resource configuration method based on satellite communication.

[0031] A terminal device includes a processor and a computer-readable storage medium, wherein the processor is used to implement various instructions; the computer-readable storage medium is used to store multiple instructions, wherein the instructions are suitable for being loaded by the processor and executing the large-bandwidth transmission and resource configuration method based on satellite communication.

[0032] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A large bandwidth transmission and resource configuration method based on satellite communication, characterized in that: include: Get satellite data; System energy efficiency modeling based on satellite data as an optimization target; Set optimization constraints; Combine optimization objectives and optimization constraints to construct the system energy efficiency maximization problem; Solve the problem of maximizing the system energy efficiency.

2. The method for large bandwidth transmission and resource allocation based on satellite communication according to claim 1, characterized in that: The system energy efficiency modeling based on the acquired satellite data also includes considering the The comprehensive transmission performance of each data stream defines the system energy efficiency for: In the formula, For the The intersatellite link energy efficiency of 1 data stream, No. Energy efficiency of satellite-to-ground link for 1 data stream.

3. The method for large bandwidth transmission and resource allocation based on satellite communication according to claim 2, characterized in that: In the system energy efficiency, The energy efficiency of the satellite-to-ground link with a data stream is expressed as: In the formula, For the Select satellite for each data stream and The corresponding routing variables for transmission between intersatellite links are For the Select satellite for each data stream and The energy efficiency of the inter-satellite links between them.

4. The method for large bandwidth transmission and resource allocation based on satellite communication according to claim 3, characterized in that: In the satellite-to-ground link energy efficiency, the energy efficiency corresponding to the transmission of the inter-satellite link is expressed as: In the formula, The power consumed by the satellite circuits, For satellite The first Data streams transmitted to satellite The corresponding transmission power is For the Data streams on satellite and The rate corresponding to the inter-satellite link transmission between them.

5. The method for large bandwidth transmission and resource allocation based on satellite communication according to claim 4, characterized in that: In the energy efficiency corresponding to the transmission of the inter-satellite link, the rate corresponding to the transmission of the inter-satellite link is expressed as: In the formula, For satellite and The free space loss of the link between is the satellite’s transmitting antenna gain, is the satellite receiving antenna gain, is the Boltzmann constant, Total system noise temperature, is the energy consumption required for the satellite to send a unit bit, is the power spectral density of the intersatellite link noise.

6. A method for large bandwidth transmission and resource allocation based on satellite communication according to claim 5, characterized in that: In the rate corresponding to the intersatellite link transmission, the free space loss is expressed as: In the formula, For satellite and The distance between the links, is the speed of light, is the carrier frequency.

7. A satellite communication-based large bandwidth transmission and resource allocation method according to claim 6, characterized in that: The solution to the system energy efficiency maximization problem includes decomposing the system energy efficiency maximization problem into three sub-problems, including a power allocation sub-problem, an inter-satellite network routing sub-problem and an end-to-end routing sub-problem, and solving the three sub-problems respectively.

8. A large bandwidth transmission and resource allocation system based on satellite communication, characterized in that: include: The data acquisition module is configured to acquire satellite data; The optimization target module is configured to perform system energy efficiency modeling based on satellite data as an optimization target; A constraint module is configured to set optimization constraints; The problem building module is configured to,combine the optimization objectives and optimization constraints to build the,system energy efficiency maximization problem; The solution module is configured to solve the problem of maximizing system energy efficiency.

9. A computer-readable storage medium storing a plurality of instructions, characterized in that: The instructions are suitable for being loaded by a processor of a terminal device and executing the method according to claim 1 .

10. A terminal device, comprising a processor and a computer-readable storage medium, wherein the processor is used to implement each instruction; and the computer-readable storage medium is used to store multiple instructions, characterized in that: The instructions are suitable for being loaded by a processor and executing the method as claimed in claim 1 .

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