A method and system for large bandwidth transmission and resource configuration based on satellite communication

By constructing a system energy efficiency maximization problem and decomposing it into subproblems, and using Dijkstra's algorithm to solve it, the challenges of satellite communication resource allocation and high-bandwidth transmission in power business communication systems were solved, achieving secure, reliable, and flexible transmission of power business communication.

CN119254298BActive Publication Date: 2025-10-24SHANDONG SIJI TECH CO LTD
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Patent Information

Application Number
CN202411350878.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-26
Publication Date
2025-10-24
Estimated Expiration
2044-09-26

AI Technical Summary

Technical Problem

Existing power business communication systems are insufficient to meet the needs of multiple entities for flexible and efficient access in terms of cost, carrying capacity, security, reliability, and adaptability. Especially in areas with harsh geographical environments and sparse populations, a single satellite communication system cannot effectively cover communication blind spots. Furthermore, different types of communication satellites have significant differences in bandwidth resources, access flexibility, and transmission reliability, necessitating optimization of satellite converged communication resource configuration.

Method used

By constructing a system energy efficiency maximization problem, satellite data acquisition, system energy efficiency modeling, and setting optimization constraints are carried out. The problem is decomposed into three sub-problems: power allocation, inter-satellite network routing, and end-to-end routing. Dijkstra's algorithm is used to solve the problem, thereby achieving efficient resource allocation and high-bandwidth transmission in the satellite communication system.

Benefits of technology

It has achieved efficient bandwidth resource allocation and high-bandwidth data transmission in satellite communication systems, improved the security, reliability and flexibility of power business communication, and met the multi-system compatibility requirements of power communication in complex geographical environments.

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Abstract

The application relates to the technical field of satellite communication, in particular to a large-bandwidth transmission and resource configuration method and system based on satellite communication. The method comprises the following steps: acquiring satellite data; performing system energy efficiency modeling according to the satellite data as an optimization target; setting optimization constraint conditions; comprehensively optimizing the optimization target and the optimization constraint conditions to construct a system energy efficiency maximization problem; and solving the system energy efficiency maximization problem. The application breaks through the bandwidth self-adaptive technology and high-quality transmission technology based on satellite communication by performing technical research on efficient transmission and resource optimization of large-bandwidth services based on satellite communication, so that the application masters the key technologies such as a routing protocol, a control strategy and safety and reliability of large-bandwidth service data transmission.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of satellite communication, in particular to a large-bandwidth transmission and resource configuration method and system based on satellite communication. BACKGROUND

[0002] The satellite communication system has unique advantages, especially the insensitivity to distance, which can flexibly and conveniently connect any station within the satellite coverage range, and the satellite ground station is independent of the complex terrain conditions of the local area, especially suitable for use in complex geography, terrain and electromagnetic environment of integrated large cities, and has incomparable advantages over other communication methods. Using satellite communication technology to build a mobile, flexible, safe and reliable, reasonably laid out, and appropriately scaled power emergency command communication system, and increasing self-provided mobile communication means, the overall emergency communication capability required for coping with natural disasters, handling emergencies and ensuring major activities is improved

[0003] With the development of new power systems, the communication demand of multi-subject flexible and efficient random access is increasingly urgent. For areas with poor geographical environment and sparse population, the main communication method of the power industry cannot guarantee stable communication. Satellite communication has the advantages of large coverage area, suitable for multiple types of business, flexible networking, low cost and independent communication distance, making it possible to effectively cover the communication blind area by relying on satellite communication. Therefore, in the communication network coverage blind area, satellite communication will become an important supplement, and gradually become an important part of power communication.

[0004] For the power business communication system, in terms of cost investment, carrying capacity, safety and reliability, it is not enough to rely on a single satellite communication system, and it is difficult to fully meet the different power business communication needs, so it is necessary to consider using a more complex satellite communication system to match different granularity of power business communication needs. For different types of communication satellites, their basic structure and performance differ greatly, and have different service capabilities and technical characteristics. In actual application, different types of communication satellites have great differences in bandwidth resources, access flexibility, transmission reliability, working performance, communication fees, etc., and the adaptability to different power businesses needs further analysis and clarification. In addition, in the process of application of satellite communication technology, different structures of communication network need to be considered flexibly, and ground, space and air-based networks are efficiently combined, and the reasonable allocation and scheduling of satellite communication resources are realized, so as to realize the multi-system compatible space-air-ground integrated collaborative satellite communication system to meet the demand of flexible communication in the whole space-air-ground of power.

[0005] In summary, in the existing power industry typical business scenarios, it is urgent to carry out satellite fusion communication technology architecture, satellite communication bandwidth adaptation, resource configuration optimization, scheduling management, security encryption, space-ground coordination networking and other technical researches for power business, so as to solve the satellite fusion communication problems in the power typical business scenarios and realize the safe, reliable and flexible transmission of power business. SUMMARY

[0006] In order to solve the above-mentioned problems, the application provides a large bandwidth transmission and resource configuration method and system based on satellite communication.

[0007] In the first aspect, the application provides a large bandwidth transmission and resource configuration method based on satellite communication, which adopts the following technical scheme:

[0008] A large bandwidth transmission and resource configuration method based on satellite communication comprises:

[0009] Obtaining satellite data;

[0010] Performing system energy efficiency modeling according to the satellite data as an optimization target;

[0011] Setting an optimization constraint condition;

[0012] Integrating the optimization target and the optimization constraint condition to construct a system energy efficiency maximization problem;

[0013] Solving the system energy efficiency maximization problem.

[0014] Further, the system energy efficiency modeling according to the obtained satellite data further comprises considering the comprehensive transmission performance of K data streams in the satellite communication system, and defining the system energy efficiency as:

[0015]

[0016] In the formula, is the inter-satellite link energy efficiency of the Kth data stream, is the inter-satellite link energy efficiency of the Kth data stream, is the inter-satellite link energy efficiency of the Kth data stream. Further, the system energy efficiency, the inter-satellite link energy efficiency of the Kth data stream is expressed as:

[0017]

[0018]

[0019] In the formula, is the inter-satellite link energy efficiency of the Kth data stream, is the inter-satellite link energy efficiency of the Kth data stream, is the inter-satellite link energy efficiency of the Kth data stream, and ​​​​​corresponding to the inter-satellite link between the satellite selecting a satellite for the transmission of the i-th data stream, and corresponding to the inter-satellite link between the satellite

[0020] Further, the energy efficiency of the inter-satellite link is expressed as:

[0021]

[0022] wherein, is the circuit power consumption of the satellite, is the free space loss of the link between the satellite transmitting the i-th data stream to the satellite corresponding to the transmission power, is the rate of the i-th data stream transmitted over the inter-satellite link between the satellite and corresponding to the inter-satellite link between the satellite and

[0023] Further, the rate of the inter-satellite link is expressed as:

[0024]

[0025] wherein, is the free space loss of the link between the satellite and is the transmit antenna gain of the satellite, is the receive antenna gain of the satellite, is the Boltzmann constant, is the total noise temperature of the system, is the energy consumption of the satellite for transmitting one bit, is the power spectral density of the inter-satellite link noise.

[0026]

[0027]

[0028] wherein, is the distance of the link between the satellite and is the speed of light, is the carrier frequency

[0029] ​​​​Further, the system energy efficiency maximization problem is solved, including decomposing the system energy efficiency maximization problem into three sub-problems, including a power distribution sub-problem, an inter-satellite network routing sub-problem and an end-to-end routing sub-problem, and solving the three sub-problems respectively.

[0030] In a second aspect, a satellite communication-based large-bandwidth transmission and resource configuration system comprises:

[0031] A data acquisition module is configured to acquire satellite data.

[0032] An optimization target module is configured to model system energy efficiency according to the satellite data as an optimization target.

[0033] A constraint condition module is configured to set optimization constraint conditions.

[0034] A problem construction module is configured to construct a system energy efficiency maximization problem by comprehensively considering the optimization target and the optimization constraint conditions.

[0035] A solution module is configured to solve the system energy efficiency maximization problem.

[0036] In a third aspect, the present application provides a computer-readable storage medium, wherein a plurality of instructions are stored, and the instructions are suitable for being loaded and executed by a processor of a terminal device.

[0037] In a fourth aspect, the present application provides a terminal device comprising a processor and a computer-readable storage medium, wherein the processor is used to implement instructions, and the computer-readable storage medium is used to store a plurality of instructions, and the instructions are suitable for being loaded and executed by the processor to implement a satellite communication-based large-bandwidth transmission and resource configuration method.

[0038] To sum up, the present application has the following beneficial technical effects:

[0039] The present application breaks through the bandwidth adaptation technology and high-quality transmission technology based on satellite communication by carrying out efficient transmission and resource optimization technology research of large-bandwidth services based on satellite communication, masters the key technologies such as routing protocol, control strategy and security and reliability of large-bandwidth service data transmission, and researches satellite communication resource configuration optimization and service data security and reliable transmission scheme, so as to realize safe, reliable and high-quality transmission of large-bandwidth service data based on satellite communication. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 is a schematic diagram of a satellite communication-based large-bandwidth transmission and resource configuration method according to an embodiment of the present application;

[0041] Figure 2is a satellite communication system space topology schematic diagram of embodiment 1 of the present application. DETAILED DESCRIPTION

[0042] The present application is further described in detail below with reference to the accompanying drawings.

[0043] Embodiment 1

[0044] Reference Figure 1 , the satellite communication-based large-bandwidth transmission and resource configuration method of the embodiment specifically includes the following steps:

[0045] S1. Obtain satellite data.

[0046] Suppose the number of SLEO satellites and destination GSs is , the number of RLEO satellites is , the number of data streams in the network is , the SLEO satellite and the destination GS of the i-th data stream are respectively represented as , , , . The satellite set is represented as , where represents the i-th RLEO satellite, , , represents the GEO satellite. Since the satellite moves at high speed along its orbit, the inter-satellite link (abbreviated as inter-satellite link) and the link between the satellite and the GS (referred to as satellite-GS link) can dynamically change. In order to represent the connection state of the communication link, a binary connection identifier is introduced here.

[0047] Let represent the inter-satellite link connection identifier between satellite and . If represents and are connected, that is, data can be directly transmitted between and , otherwise, , . The satellite and the destination ground station between the satellite and the destination ground station are represented as and are directly connected, otherwise, , , . Figure 2 is a satellite system space topology schematic diagram.

[0048] S2. Optimization problem modeling

[0049] 2.1 System energy efficiency modeling

[0050] Considering the integrated transmission performance of multiple data streams in a satellite communication system, the system energy efficiency is defined as:

[0051] (4-9)

[0052] wherein, is the inter-satellite link energy efficiency of the i-th data stream, is the inter-satellite link energy efficiency of the i-th data stream, and may be expressed as:

[0053] (4-10)

[0054] wherein, is the routing variable corresponding to the selection of the inter-satellite link between satellite i and satellite j for the transmission of the i-th data stream, is the energy efficiency corresponding to the selection of the inter-satellite link between satellite i and satellite j for the transmission of the i-th data stream, and wherein, if the i-th data stream is transmitted through the link between satellite i and satellite j, otherwise, may be expressed as:

[0055] (4-11)

[0056] wherein, is the circuit power consumption of satellite i, is the transmission power corresponding to the transmission of the i-th data stream from satellite i to satellite j, is the rate corresponding to the transmission of the i-th data stream on the inter-satellite link between satellite i and satellite j, and may be expressed as: ​​​​​​​​​​​​​​​​​​​​​​

[0057] (4-12)

[0058] wherein, is the free space loss of the link between satellite and is the transmit antenna gain of the satellite, is the receive antenna gain of the satellite, is the Boltzmann constant, is the total noise temperature of the system, is the energy consumption of the satellite to transmit one bit, is the power spectral density of the inter-satellite link noise. Wherein, the satellite and the free space loss of the link between satellite is expressed as follows:

[0059] (4-13)

[0060] wherein, is the distance of the link between satellite and is the speed of light, is the carrier frequency

[0061] In formula (4-9), the energy efficiency of the inter-satellite link of the th data stream is expressed as follows:

[0062] (4-14)

[0063] wherein, is the routing variable corresponding to the inter-satellite link transmission of the th data stream between satellite and the ground station is the energy efficiency corresponding to the inter-satellite link transmission of the th data stream between satellite and the ground station , if , it means that the th data stream is transmitted through the link between satellite and the ground station , otherwise, , , . can be expressed as:

[0064] (4-15) ​​​​

[0065] wherein, is the satellite transmits the i-th data stream to the ground station at the corresponding transmission power, is the corresponding rate of the i-th data stream transmitted between the satellite and the ground station . Wherein, can be expressed as follows:

[0066] (4-16)

[0067] wherein, is the free space loss of the satellite and the ground station link, is the ground station receiving antenna gain, is the bandwidth of the satellite, is the rain attenuation coefficient of the link, is the noise power. Wherein, the free space loss of the satellite and the ground station link can be expressed as follows:

[0068] (4-17)

[0069] S3. Optimization constraints

[0070] Optimizing the joint routing and resource allocation strategy of the satellite communication system needs to meet the flow conservation, routing, maximum transmission power and other constraints.

[0071] (1) Flow conservation constraint. When transmitting user data streams through inter-satellite links and satellite-ground links, the flow conservation constraints of SLEO satellites, RLEO satellites and ground stations GS should be met. More specifically, the SLEO satellite needs to transmit all its data streams to the destination ground station or RLEO satellite by using direct transmission or relay forwarding.

[0072] (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 state of inter-satellite links and satellite-ground links.

[0073] (3) Transmission power constraints. Since the transmission power of the satellite must be limited by its maximum transmission power.

[0074] ​(4) Transmission rate constraint. Considering the different transmission rate requirements of data flows, it is assumed that the data flows transmitted by various SLEO satellites can be subject to minimum transmission rate requirements.

[0075] Taking into account the optimization objectives and corresponding optimization constraints, the joint routing and resource allocation problem is modeled as a system energy efficiency maximization problem:

[0076] (4-18)

[0077] S4. Optimization problem solving

[0078] Since the optimization problem (4-18) is an NP-hard problem, it is difficult to solve by traditional optimization tools. Based on this, this subsection first assumes that the routing strategy of data flows is determined, and the power allocation strategy of SLEO satellites and RLEO satellites is designed respectively. In addition, considering the relative stability of inter-satellite networks, the routing sub-problem of SLEO satellites and RLEO satellites can be solved, and then the end-to-end routing strategy of SLEO satellites and GS is designed. Therefore, the proposed optimization problem is transformed into three sub-problems, namely the power allocation sub-problem, the inter-satellite network routing sub-problem and the end-to-end routing sub-problem, and these three sub-problems are solved in turn.

[0079] (1) Power allocation sub-problem

[0080] Given the routing strategy of inter-satellite links and satellite-to-GS links, the optimal power allocation strategy of SLEO satellites and RLEO satellites is first designed. It is assumed that the inter-satellite link between and is selected to transmit the th data flow, i.e. , then the power allocation problem of satellite can be represented as follows:

[0081] (4-19)

[0082] (2) Inter-satellite network routing sub-problem

[0083] Given the optimal energy efficiency of inter-satellite links, the routing 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 routing strategy can be obtained.

[0084] (3) End-to-end routing sub-problem

[0085] Based on the obtained power allocation strategy and inter-satellite routing strategy, the end-to-end routing sub-problem between the SLEO satellite and the GS can be solved. Since a SLEO satellite can select different RLEO satellites as the target satellite for transmitting the i-th data stream in the inter-satellite network, the transmission energy efficiency of the i-th data stream can be rewritten as follows:

[0086] (4-20)

[0087] wherein, is the routing variable of the i-th data stream. Wherein, if, indicates that the i-th data stream is transmitted by selecting the path , otherwise,

[0088] Embodiment 2

[0089] The embodiment provides a large-bandwidth transmission and resource configuration system based on satellite communication, comprising:

[0090] A data acquisition module configured to acquire satellite data;

[0091] An optimization target module configured to perform system energy efficiency modeling according to the satellite data as an optimization target;

[0092] A constraint condition module configured to set optimization constraint conditions;

[0093] A problem construction module configured to construct a system energy efficiency maximization problem by comprehensively optimizing the optimization target and the optimization constraint conditions;

[0094] A solution module configured to solve the system energy efficiency maximization problem.

[0095] A computer-readable storage medium, wherein a plurality of instructions are stored, the instructions being adapted to be loaded and executed by a processor of a terminal device, and the instructions are adapted to implement a large-bandwidth transmission and resource configuration method based on satellite communication.

[0096] A terminal device, comprising a processor and a computer-readable storage medium, the processor being configured to implement instructions, and the computer-readable storage medium being configured to store a plurality of instructions, the instructions being adapted to be loaded and executed by the processor, and the instructions being adapted to implement a large-bandwidth transmission and resource configuration method based on satellite communication.

[0097] ​​​​​​The above are preferred embodiments of the present application, and do not limit the protection scope of the present application, so: any equivalent changes made according to the structure, shape, principle of the present application should be covered within the protection scope of the present application.

Claims

1. A method for large bandwidth transmission and resource configuration based on satellite communication, characterized in that, The method comprises: acquiring satellite data; modeling system energy efficiency according to the satellite data as an optimization target; setting optimization constraints; constructing a system energy efficiency maximization problem by integrating the optimization target and the optimization constraints; solving the system energy efficiency maximization problem; The system energy efficiency modeling according to the acquired satellite data further comprises defining the system energy efficiency as considering the comprehensive transmission performance of the data streams in the satellite communication system ​ In the formula, inter-satellite link energy efficiency of the first data stream, inter-satellite link energy efficiency of the first data stream, inter-satellite link energy efficiency of the first data stream, inter-satellite link energy efficiency of the first data stream, K represents a natural number, indicating the number of data streams in the satellite communication system; The system energy efficiency, the first The satellite-to-ground link energy efficiency of the first data flow is represented as: wherein, is the number of data streams, is the number of satellites, is the number of inter-satellite links, is the corresponding routing variable, is the number of data streams, is the number of satellites, is the number of inter-satellite links, is the corresponding energy efficiency; and is the number of RLEO satellites. is the inter-satellite link connection identifier between satellite and . is the order of the i-th RLEO satellite, and j is the order of the j-th RLEO satellite. in the satellite-ground link energy efficiency, the energy efficiency corresponding to the inter-satellite link transmission is represented as: wherein is the power consumed by the circuit of the satellite, is the power consumed by the circuit of the satellite transmits the first data stream to the satellite corresponding transmission power, is the rate corresponding to the inter-satellite link transmission of the first data stream between the satellite and the satellite in the energy efficiency corresponding to the inter-satellite link transmission, the inter-satellite link transmission corresponding rate is represented as: wherein is the free space loss of the link between the satellites and is the transmit antenna gain of the satellite is the receive antenna gain of the satellite is the Boltzmann constant is the total system noise temperature is the energy consumption required by the satellite to transmit one bit is the power spectral density of the inter-satellite link noise​ in the inter-satellite link transmission corresponding rate, the free space loss is represented as: wherein is the distance of the link between the satellite and , is the speed of light, is the carrier frequency; the solving of the system energy efficiency maximization problem comprises decomposing the system energy efficiency maximization problem into three sub-problems, including a power allocation sub-problem, an inter-satellite network routing selection sub-problem, and an end-to-end routing selection sub-problem, and solving the three sub-problems respectively.

2. A system for large bandwidth transmission and resource allocation based on satellite communication, which implements the method for large bandwidth transmission and resource allocation based on satellite communication as claimed in claim 1, characterized in that, The method comprises: a data acquisition module configured to acquire satellite data; an optimization target module configured to model system energy efficiency according to the satellite data as an optimization target; a constraint condition module configured to set optimization constraints; a problem construction module configured to construct a system energy efficiency maximization problem by integrating the optimization target and the optimization constraints; a solving module configured to solve the system energy efficiency maximization problem.

3. A computer-readable storage medium having stored therein a plurality of instructions, wherein the instructions, when executed by a processor, cause the processor to perform operations comprising: The instructions are adapted to be loaded and executed by the processor of the terminal device to perform the method of claim 1. 4.A terminal device, comprising a processor and a computer readable storage medium, the processor is configured to implement instructions; the computer readable storage medium is configured to store a plurality of instructions, characterized in that, The instructions are adapted to be loaded and executed by the processor to perform the method of claim 1.

Citation Information

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