CN117255334A - Multistage cooperative scheduling method and system for emergency satellite communication - Google Patents

Multistage cooperative scheduling method and system for emergency satellite communication Download PDF

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CN117255334A
CN117255334A CN202311538916.8A CN202311538916A CN117255334A CN 117255334 A CN117255334 A CN 117255334A CN 202311538916 A CN202311538916 A CN 202311538916A CN 117255334 A CN117255334 A CN 117255334A
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optimization
allocation
satellite
base station
parameters
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CN117255334B (en
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汤亿则
黄红兵
邵炜平
吕思达
贺琛
邱兰馨
张烨华
聂思琦
林旭恺
刘胜利
王信佳
孙嘉赛
史俊潇
李忠平
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Shanghai Cosu Network Science & Technology Co ltd
Zhejiang University City College ZUCC
Information and Telecommunication Branch of State Grid Zhejiang Electric Power Co Ltd
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Shanghai Cosu Network Science & Technology Co ltd
Zhejiang University City College ZUCC
Information and Telecommunication Branch of State Grid Zhejiang Electric Power Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/90—Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/14—Relay systems
    • H04B7/15—Active relay systems
    • H04B7/185—Space-based or airborne stations; Stations for satellite systems
    • H04B7/1851—Systems using a satellite or space-based relay
    • H04B7/18513—Transmission in a satellite or space-based system
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/14—Relay systems
    • H04B7/15—Active relay systems
    • H04B7/185—Space-based or airborne stations; Stations for satellite systems
    • H04B7/1853—Satellite systems for providing telephony service to a mobile station, i.e. mobile satellite service
    • H04B7/18539—Arrangements for managing radio, resources, i.e. for establishing or releasing a connection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/14—Relay systems
    • H04B7/15—Active relay systems
    • H04B7/185—Space-based or airborne stations; Stations for satellite systems
    • H04B7/1853—Satellite systems for providing telephony service to a mobile station, i.e. mobile satellite service
    • H04B7/18539—Arrangements for managing radio, resources, i.e. for establishing or releasing a connection
    • H04B7/18543—Arrangements for managing radio, resources, i.e. for establishing or releasing a connection for adaptation of transmission parameters, e.g. power control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/40—Resource management for direct mode communication, e.g. D2D or sidelink
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/535—Allocation or scheduling criteria for wireless resources based on resource usage policies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/50—Connection management for emergency connections
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/04—Large scale networks; Deep hierarchical networks
    • H04W84/06—Airborne or Satellite Networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The application discloses a multistage cooperative scheduling method and system for emergency satellite communication, wherein the method comprises the following steps: and constructing an optimization objective function according to a satellite link transmission model and a transfer link transmission model by taking the maximized link throughput as a target, dividing the optimization objective function into a plurality of optimization sub-problems according to the optimization allocation requirements, carrying out alternate optimization iterative solution, and outputting an emergency communication resource optimization allocation strategy to execute multistage collaborative scheduling. The beneficial effects of this application: and constructing an optimization objective function according to the satellite link transmission model and the transfer link transmission model to obtain resource allocation meeting the fastest communication speed under the communication requirement, dividing the optimization objective function into a plurality of optimization sub-problems to reduce the optimization calculation amount, improve the calculation speed, reduce the calculation delay and ensure the timeliness of emergency communication.

Description

Multistage cooperative scheduling method and system for emergency satellite communication
Technical Field
The application relates to the technical field of emergency communication resource allocation, in particular to a multistage cooperative scheduling method and system for emergency satellite communication.
Background
When natural disasters such as earthquake, typhoon and flood occur, power supply in disaster areas is often disconnected, and ground communication facilities such as local servers and mobile communication base stations in the disaster areas are forced to be closed, so that communication functions in the disaster areas are limited. And the local server and the rush repair circuit are rebuilt with a great deal of time, manpower and material resources, so that various works such as disaster relief and rescue are greatly hindered. For this situation, it is necessary to establish an emergency communication system coping with the disaster. The existing emergency communication scene mainly comprises two main types of integration of the world and the sky and the earth. Wherein, the space refers to unmanned aerial vehicle communication or relay, the space refers to satellite communication system, and the ground refers to ground base station system which can work normally. At present, the resource allocation and track optimization problems in the scheme of the unmanned aerial vehicle application emergency communication system do not have a very mature scheme, and compared with the current mature Beidou satellite networking, the unmanned aerial vehicle application cost is higher, so that the space-earth integrated system has wider application in emergency communication.
However, the related art basically focuses on channel resource allocation and power allocation, and there are few considerations such as scheduling of various communication modes that may exist in the system.
Chinese patent (Emergency communication System and method, publication No.: CN116367133a, publication date: 2023, 06, 30, discloses in particular the inclusion of: the system comprises an airborne device, a satellite communication system and a public network core network device; the on-board equipment is in communication connection with a satellite communication system through a satellite link, and the satellite communication system is in communication connection with public network core network equipment through a preset special line link; the onboard equipment is used for providing a first emergency communication requirement for the emergency area and executing localized processing operation according to the first emergency communication requirement; the satellite communication system is used for providing transmission routes for the airborne equipment and the public network core network equipment; the public network core network device is used for providing a second emergency communication requirement for the emergency area and executing emergency treatment control operation according to the second emergency communication requirement. According to the scheme, the on-board equipment, the satellite communication system and the public network core network equipment can provide reported emergency communication service, such as basic voice and data service, for disaster-stricken personnel on one hand, and local shunting capability of the on-board equipment is combined on the other hand, so that localized service is provided for on-site emergency guarantee personnel (namely rescue personnel) and disaster-stricken personnel. However, how to implement resource allocation under various communications in the integrated system of the world is not considered. The distribution of the satellite resources is dependent on the local distribution capability of the airborne equipment, and the satellite resources cannot be distributed according to the actual communication requirements.
Chinese patent (a whole-network emergency communication unmanned aerial vehicle satellite communication system) discloses no: CN115603798A, publication date: 2023, 13, specifically discloses a composition comprising: the system comprises a base station communication base station device, an airborne multi-network convergence gateway device, an apparent distance link airborne device and a satellite link airborne device, which are carried on an unmanned plane platform, of a whole-network basic telecommunication enterprise, wherein the unmanned plane ground control station, a satellite link ground station, the ground multi-network convergence gateway device and an emergency command control hall are carried on the unmanned plane platform; the ground multi-network convergence gateway device is used for connecting the core networks of the operators. In the scheme, satellite links are designed by referring to CCSDS-AOS standard, and satellite channel resources are dynamically allocated by supporting multiple virtual channels, however, how to reasonably allocate communication resources in emergency is not disclosed, so that the transmission rate of emergency communication is improved.
Disclosure of Invention
Aiming at the problem that a plurality of communication modes possibly exist in an emergency communication system and communication resources need to be reasonably scheduled in the prior art, the method for multi-stage collaborative scheduling for emergency satellite communication is provided, an optimized objective function is built by taking maximized link throughput as a target, the optimized objective function is divided into a plurality of optimized sub-problems according to optimized allocation requirements, the optimized sub-problems are solved respectively, and an output emergency communication resource optimized allocation strategy meets the communication reliability requirements and can realize the fastest transmission rate, so that timeliness and reliability of emergency communication are ensured, optimization calculation complexity is reduced, calculation amount is reduced, output efficiency of the emergency communication resource optimized allocation strategy is improved, emergency communication delay is further reduced, and timeliness of the emergency communication is ensured.
In order to achieve the technical purpose, the technical scheme provided by the application is that the multistage cooperative scheduling method for emergency satellite communication comprises the following steps:
s1: constructing a satellite link transmission model by using satellite parameters, and constructing a transit link transmission model by using user parameters and transit base station parameters;
s2: constructing an optimization objective function by taking the maximization of the link throughput as a target;
s3: acquiring real-time satellite parameters, transit base station parameters and user parameters, dividing a plurality of distribution optimization variables according to the optimization distribution requirements, and giving initial distribution values of the distribution optimization variables;
s4: dividing an optimization objective function into a plurality of optimization sub-problems according to a plurality of allocation optimization variables;
s5: sequentially selecting optimization sub-problems, taking corresponding allocation optimization variables as optimization targets, and taking the rest allocation optimization variables as decision variables;
s6: judging whether the other distribution optimization variables have updated values, if so, solving the corresponding distribution optimization variable updated values by taking the updated values as decision variable input values, increasing the iteration times, and if not, solving the corresponding distribution optimization variable updated values by taking the initial distribution values as the decision variable input values;
s7: setting an iteration number threshold, judging whether the iteration number reaches the iteration number threshold, if so, outputting an emergency communication resource optimization allocation strategy by using the updated values of all the current allocation optimization variables, and if not, repeatedly executing S5-S6;
S8: and executing the multi-level collaborative scheduling according to the emergency communication resource optimization allocation strategy.
Further, constructing a satellite link transmission model by using satellite parameters is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>For satellite and transit base station->Rate of the downlink communication link, +.>Transmit power for satellite downlink communication link, < >>Channel gain for satellite downlink communication link, < >>Distributing the obtained downlink spectrum resource for the transit base station, < > for>Is the noise power spectral density.
Further, the intermediate transfer link transmission model is constructed by using the user parameters and the intermediate transfer base station parameters as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>For user->Downlink transmission rate,/, and>for usersAnd transit base station->Associating an indicating variable +.>Time slot allocated to each user is transmitted in one transmissionProportion of frames to be transmitted, +.>Bandwidth allocated to each transit base station, < > for each transit base station>Is a transit base station->Is->Transmit power for downlink communication, +.>Is the channel gain for the downlink.
Further, with the goal of maximizing link throughput, constructing an optimization objective function includes: constructing an optimization objective function according to the satellite link transmission model and the transfer link transmission model:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>To weigh the weight coefficients of terrestrial communication and satellite communication rates.
Further, acquiring real-time satellite parameters, relay base station parameters and user parameters, dividing a plurality of distribution optimization variables according to the optimization distribution requirements, and setting the initial distribution values of the distribution optimization variables as follows: and acquiring real-time satellite parameters, transit base station parameters and user parameters, taking user association, power allocation, bandwidth allocation and time slot allocation as allocation optimization variables, and giving an initial allocation value of user association, an initial allocation value of power allocation and bandwidth allocation and an initial allocation value of time slot allocation.
Further, S6 includes:
s61: judging whether the other distribution optimization variables have updated values, if so, executing S62, and if not, executing S64;
s62: solving the corresponding allocation optimization variable update value by taking the update value as a decision variable input value, and executing S63;
s63: judging whether the output times of all the distributed optimization variable updating values are the same, if so, increasing the iteration times, and if not, executing S5;
s64: and solving the corresponding allocation optimization variable updating value by taking the initial allocation value as a decision variable input value, and executing S5.
Further, the intermediate transfer link transmission model is constructed by using the user parameters and the intermediate transfer base station parameters as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>For transfer link transmission rate +. >For D2D link->Allocating the resulting bandwidth>For the transmission power of the user, +.>Channel gain for D2D link, +.>Is the noise power spectral density.
Further, with the goal of maximizing link throughput, constructing an optimization objective function includes: and (3) aiming at maximizing link throughput, constructing an optimization objective function according to a transfer link transmission model:。
further, constructing a transit link transmission model with the user parameters and the transit base station parameters includes: constructing a first transfer link transmission model according to the user parameters and the emergency base station parameters; and constructing a second transfer link transmission model according to the user parameters. The construction of the optimization objective function with the aim of maximizing the link throughput includes: and constructing an optimization objective function according to the satellite link transmission model, the first transit link transmission model and the second transit link transmission model by taking the maximization of the link throughput as a target.
The application provides another technical scheme that a multistage cooperative scheduling system for emergency satellite communication is used for realizing the method, and the method comprises the following steps: the satellite is used as a relay station to be connected with a plurality of relay base stations; a transit base station for providing communication for users; the control terminal is used for acquiring the real-time satellite parameters, the transit base station parameters and the user parameters, outputting an emergency communication resource optimization allocation strategy and regulating and controlling the emergency communication resource allocation.
The present application provides still another technical solution, namely, a computer readable storage medium, configured to store a computer program or instructions, where the computer program or instructions, when executed by a processing device, implement a multi-level cooperative scheduling method for emergency satellite communication as described above.
The beneficial effects of this application: providing omnidirectional coverage, increasing communication reliability and toughness, and achieving flexible network construction and deployment. And the heterogeneous network formed by the emergency base station and the D2D ad hoc network provides emergency communication service for ground users. Under the condition that a core network on the ground is damaged and interrupted, a return link provided by a satellite can still support long-distance communication across cells, so that the calculated amount is reduced in a mode of dividing an optimization objective function into sub-problem calculation, the continuity and reliability of emergency communication are realized, the timeliness of information transmission in a disaster-stricken area is realized, and real-time and reliable information is provided for rescue and relief work.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of a multi-level cooperative scheduling method for emergency satellite communication.
Fig. 2 is a schematic architecture diagram of an embodiment of a multi-level cooperative scheduling method for emergency satellite communication.
Fig. 3 is a schematic diagram of an optimization flow under the condition of an embodiment of a multi-level cooperative scheduling method for emergency satellite communication.
Fig. 4 is a schematic architecture diagram of another embodiment of the emergency satellite communication-oriented multi-level cooperative scheduling method.
Fig. 5 is a schematic architecture diagram of a multi-level cooperative scheduling method for emergency satellite communication according to another embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the following detailed description of the present application is given with reference to the accompanying drawings and examples, it being understood that the detailed description described herein is merely a preferred embodiment of the present application and is not intended to limit the scope of the present application, but all other embodiments which can be obtained by persons skilled in the art without making any inventive effort are within the scope of the present application.
As shown in fig. 1, as a first embodiment of the present application, a multi-level cooperative scheduling method for emergency satellite communication includes the following steps:
s1: constructing a satellite link transmission model by using satellite parameters, and constructing a transit link transmission model by using user parameters and transit base station parameters;
S2: constructing an optimization objective function by taking the maximization of the link throughput as a target;
s3: acquiring real-time satellite parameters, transit base station parameters and user parameters, dividing a plurality of distribution optimization variables according to the optimization distribution requirements, and giving initial distribution values of the distribution optimization variables;
s4: dividing an optimization objective function into a plurality of optimization sub-problems according to a plurality of allocation optimization variables;
s5: sequentially selecting optimization sub-problems, taking corresponding allocation optimization variables as optimization targets, and taking the rest allocation optimization variables as decision variables;
s6: judging whether the other distribution optimization variables have updated values, if so, solving the corresponding distribution optimization variable updated values by taking the updated values as decision variable input values, increasing the iteration times, and if not, solving the corresponding distribution optimization variable updated values by taking the initial distribution values as the decision variable input values, and executing S5;
s7: setting an iteration number threshold, judging whether the iteration number reaches the iteration number threshold, if so, outputting an emergency communication resource optimization allocation strategy by using the updated values of all the current allocation optimization variables, and if not, executing S5-S6;
s8: and executing the multi-level collaborative scheduling according to the emergency communication resource optimization allocation strategy.
In this embodiment, the satellite parameters at least include total bandwidth of satellite communication and satellite transmission power, and the relay base station parameters at least include: the location of the relay base stations, the number of the relay base stations, the total bandwidth of the ground communication and the transmitting power of the relay base stations, and the user parameters at least comprise: the number of user equipment with communication requirements and the user position. The method comprises the steps of constructing an optimization objective function by taking the maximized link throughput as a target, dividing the optimization objective function into a plurality of optimization sub-problems according to the optimization allocation requirement, respectively solving the optimization sub-problems, taking the solved allocation optimization variable update value as a decision variable input value of the next optimization sub-problem, approaching the optimal solution of the optimization objective function by utilizing alternate optimization iteration, thereby obtaining an emergency communication resource allocation strategy meeting the maximum link throughput under the emergency communication requirement of a user, ensuring the persistence and the reliability of the emergency communication, improving the emergency communication efficiency, improving real-time and reliable information for disaster relief, and adopting sub-problem decomposition to reduce the calculated amount, thereby improving the calculation efficiency, reducing the delay and further ensuring the real-time performance of the emergency communication.
Specifically, the satellite link transmission model is constructed by satellite parameters as follows:
；
wherein,for satellite and transit base station->Rate of the downlink communication link, +.>Transmit power for satellite downlink communication link, < >>Channel gain for satellite downlink communication link, < >>Distributing the obtained downlink spectrum resource for the transit base station, < > for>Is the noise power spectral density.
In this embodiment, as shown in fig. 2, the transit base station is a ground emergency base station, and the emergency base station set is defined asDefine the user set as +.>. In an emergency situation, where a ground emergency base station is deployed at a critical location, such as a disaster site or emergency center, a user may connect to the ground emergency base station to obtain reliable and monitored communication services. At the disaster site, the ground emergency base station on the ground cannot directly connect to the core network. In this case, a geostationary satellite may be used as a relay station to connect to each base station on the ground, thereby providing a backhaul link instead of the core network. Specifically, the ground base station is connected to a geostationary satellite by wireless communication, and transmits data and signals using the satellite as a relay station. The satellite receives signals sent by a certain ground emergency base station and forwards the signals to other base stations accessed by the destination terminal so as to realize the cell-crossing long-distance communication of the ground user equipment. When establishing backhaul links between the geostationary satellite and each base station, allocation of spectrum resources needs to be planned to avoid interference. Acquiring communication bandwidth in satellite parameters >Enabling all the transit base stations to multiplex the spectrum resources of the satellite backhaul link in an OFDMA mode, wherein each transit base station can allocate the obtained downlink spectrum resources as +.>Constructing and reflecting synchronous satellite and transit base station>Rate of downstream communication link +.>And the downlink spectrum resource which can be allocated by each transit base station +.>A satellite link transmission model of the correlation characteristics between.
Furthermore, the transit link transmission model is constructed by using the user parameters and the transit base station parameters as follows:
；
wherein,for user->Downlink transmission rate,/, and>for user->And transit base station->The association indicates that the variable is to be changed,the proportion of the time slots allocated to each user in a transmission frame, +.>Bandwidth allocated to each transit base station, < > for each transit base station>Is a transit base station->Is->Transmit power for downlink communication, +.>For the channel gain of the downlink, +.>Is the noise power spectral density.
In order to avoid communication interference among different cells, the ground communication spectrum resources are multiplexed among the relay base stations in an OFDMA mode. Thus, constructing the transit link transmission model with the user parameters and the transit base station parameters further includes:
and constructing transfer link transmission constraint according to the characteristics of the communication established between the user and the transfer base station.
Coverage overlap exists between the relay base stations, and when a user enters the coverage of the relay base stations, the base stations associated with the user need to be determined, and the association overlap is avoided, so that communication and related service provision can be conveniently carried out, and association constraint is constructed:
；
for user->And transit base station->Associating an indicating variable when the user->And transit base station->Association +.>When the user is +>And transit base station->Do not associate +.>Each user can only communicate with one base station, and therefore the sum of the association indicating variables of all transit base stations and one user is 1. Meanwhile, in the coverage area of each emergency base station, multiplexing channel resources by each user accessing the same base station in a TDMA mode, thereby constructing time slot constraint:
；
that is, the proportion of the time slot allocated by each user in one transmission frame must not exceed 1, and the association constraint and the time slot constraint are taken as transfer link transmission constraints.
In this embodiment, considering resource allocation of the backhaul link of satellite communication, that is, resources occupied when the relay base station transmits data and signals using the satellite as the relay station, constructing the optimization objective function with the objective of maximizing the link throughput includes:
Constructing an optimization objective function according to the satellite link transmission model and the transfer link transmission model:
；
wherein,to weigh the weight coefficients of terrestrial communication and satellite communication rates.
In this embodiment, weighting coefficients of ground communication and satellite communication rates can be weighted by setting a decision matrix based on which matrix parameters at least include security weight, transmission rate weight, coverage area weight and availability weight, acquiring historical ground communication and satellite communication rates and related influence factor data, wherein the related influence factors are security, transmission rate, coverage area and availability, constructing a weight calculation model, acquiring related influence factor data of a current scene, calculating the related influence factor weight, and calculating the weighting coefficients of the weighted ground communication and satellite communication rates by the decision matrix based on.
In this embodiment, the allocation requirements are allocation of users, power allocation, and allocation of radio resources in a satellite communication system, where the radio resources include frequency, time slots, code channels, and space. The method comprises the steps of taking user association, power allocation and time slot allocation as allocation optimization variables, and obtaining real-time satellite parameters, transit base station parameters and user parameters according to the power bandwidth balance principle in satellite communication, namely that the power percentage and the bandwidth percentage of a carrier occupied satellite transponder are equal, wherein the power allocation requirement further comprises bandwidth allocation, so that a plurality of allocation optimization variables are divided according to the optimization allocation requirement, and the initial allocation values of the given allocation optimization variables are as follows:
And acquiring real-time satellite parameters, transit base station parameters and user parameters, taking user association, power allocation, bandwidth allocation and time slot allocation as allocation optimization variables, and giving an initial allocation value of user association, an initial allocation value of power allocation and bandwidth allocation and an initial allocation value of time slot allocation.
Dividing the optimization objective function into a plurality of optimization sub-problems according to a plurality of allocation optimization variables:
dividing the optimization objective function into user association optimization sub-problems according to the user association;
dividing the optimization objective function into power allocation and bandwidth allocation optimization sub-problems according to the power allocation and the bandwidth allocation;
dividing the optimization objective function into time slot allocation optimization sub-problems according to the time slot allocation.
Furthermore, the user association optimization sub-problem is selected, the user association is used as an optimization target, the power allocation, the bandwidth allocation and the time slot allocation are used as decision variables, and since the power allocation, the bandwidth allocation and the time slot allocation do not have updated values in the initial updating, the initial value of the power allocation, the initial value of the bandwidth allocation and the initial value of the time slot allocation are used as decision variable input values, the user association is optimized, and the user association updated values are output.
And selecting a time slot allocation optimization sub-problem, wherein a user association update value exists at the moment, taking the initial values of power allocation and bandwidth allocation and the user association update value as decision variable input values, outputting the time slot allocation update value, and increasing the iteration times.
And selecting power allocation and bandwidth allocation optimization sub-problems, wherein a user association update value and a time slot allocation update value exist at the moment, the user association update value and the time slot allocation update value are used as decision variable input values, the power allocation and bandwidth allocation update values are output, and the iteration times are increased.
Judging whether the iteration times reach the iteration times threshold, if so, outputting an emergency communication resource optimizing and distributing strategy by using the updated values of all the current distributing and optimizing variables, and if not, continuing to sequentially select the optimizing sub-problems to update the distributing and optimizing variables. As in the present embodiment, the iteration number threshold is 5 times, then:
selecting a user association optimization sub-problem, optimizing user association by taking a power allocation and bandwidth allocation initial value and a time slot allocation initial value as decision variable input values, outputting a first updating value of the user association, wherein the iteration number is 0, judging that the iteration number is smaller than an iteration number threshold value, and executing steps S5-S6;
selecting a time slot allocation optimization sub-problem, taking a power allocation and bandwidth allocation initial value and a user associated first update value as decision variable input values, outputting the time slot allocation first update value, wherein the iteration number is 1, judging that the iteration number is smaller than an iteration number threshold, and executing the steps S5-S6;
Selecting a power allocation and bandwidth allocation optimization sub-problem, taking a first updating value associated with a user and a first updating value allocated to a time slot as decision variable input values, outputting the first updating value allocated to the power allocation and the bandwidth allocation, wherein the iteration number is 2, judging that the iteration number is smaller than an iteration number threshold value, and executing the steps S5-S6;
selecting a user association optimization sub-problem, optimizing user association by taking a power allocation and bandwidth allocation first update value and a time slot allocation first update value as decision variable input values, outputting a user association second update value, judging that the iteration number is smaller than an iteration number threshold value, and executing steps S5-S6, wherein the iteration number is 3;
selecting a time slot allocation optimization sub-problem, taking a first updating value of power allocation and bandwidth allocation and a second updating value associated with a user as decision variable input values, outputting a second updating value of time slot allocation, wherein the iteration number is 4, judging that the iteration number is smaller than an iteration number threshold, and executing steps S5-S6;
and selecting a power allocation and bandwidth allocation optimization sub-problem, taking a user-associated second update value and a time slot allocation second update value as decision variable input values, outputting the power allocation and bandwidth allocation second update value, wherein the iteration number is 5, judging that the iteration number reaches an iteration number threshold, and outputting an emergency communication resource optimization allocation strategy by taking the user-associated second update value, the time slot allocation second update value, the power allocation and bandwidth allocation second update value.
And the user association allocation, the time slot resource allocation, the power resource allocation and the bandwidth resource allocation are carried out according to the user association second update value, the time slot allocation second update value, the power allocation and the bandwidth allocation second update value in the emergency communication resource optimization allocation strategy.
The synchronous satellite is used as a relay station to provide a return link for each base station on the ground, the base stations on the ground are connected with each other independently of wired communication facilities such as a core network, the communication quality can be ensured in an emergency communication scene, and the cell-crossing long-distance communication of the ground user equipment can be realized. By employing both terrestrial and satellite communications, the reliability and toughness of the communications is intended to be enhanced. In the case of limited or interrupted terrestrial communications, the backhaul link provided by the satellite is still capable of supporting communications, enabling the persistence and reliability of emergency communications.
As shown in fig. 3, as a second embodiment of the present application, step S6 includes:
s61: judging whether the other distribution optimization variables have updated values, if so, executing S62, and if not, executing S64;
s62: solving the corresponding allocation optimization variable update value by taking the update value as a decision variable input value, and executing S63;
S63: judging whether the output times of all the distributed optimization variable updating values are the same, if so, increasing the iteration times, and if not, executing S5;
s64: and solving the corresponding allocation optimization variable updating value by taking the initial allocation value as a decision variable input value, and executing S5.
The step S7 includes:
setting an iteration number threshold, and executing after the iteration number is increased: and judging whether the iteration times reach an iteration times threshold, if so, outputting an emergency communication resource optimization allocation strategy by using the updated values of all the current allocation optimization variables, and if not, executing S5-S6.
In this embodiment, the number of iterations is increased and compared after one update of all the allocation optimization variables is completed, so that the number of optimizations of all the allocation optimization variables reaches the maximum number of iterations or converges, and simultaneously, the comparison of the number of iterations is reduced, the calculated amount is reduced, the calculation rate is improved, and the timeliness of the output of the emergency communication resource optimization allocation strategy is ensured, thereby improving the accuracy of information transmission and the integrity of emergency communication coverage during emergency communication.
In the present embodiment, assuming that the number of iterations is 2, execution is performed:
selecting a user association optimization sub-problem, optimizing user association by taking a power allocation and bandwidth allocation initial value and a time slot allocation initial value as decision variable input values, outputting a first updated value of the user association, and executing S5;
Selecting a time slot allocation optimization sub-problem, taking a power allocation and bandwidth allocation initial value and a user associated first update value as decision variable input values, outputting the time slot allocation first update value, judging that the output times of all allocation optimization variable update values are different, and executing S5;
selecting a power allocation and bandwidth allocation optimization sub-problem, taking a user-associated first update value and a time slot allocation first update value as decision variable input values, outputting the power allocation and bandwidth allocation first update values, judging that the first update values exist when the output times of all allocation optimization variable update values are the same, increasing iteration times, wherein the iteration times are 1, and executing S7;
judging that the iteration times are smaller than the iteration times threshold value, and executing S5-S6;
selecting a user association optimization sub-problem, optimizing user association by taking a power allocation and bandwidth allocation first update value and a time slot allocation first update value as decision variable input values, outputting a user association second update value, judging that the output times of all allocation optimization variable update values are different, and executing S5;
selecting a time slot allocation optimization sub-problem, taking a first updating value of power allocation and bandwidth allocation and a second updating value related to a user as decision variable input values, outputting the second updating value of time slot allocation, judging that the output times of all allocation optimization variable updating values are different, and executing S5;
Selecting a power allocation and bandwidth allocation optimization sub-problem, taking a user-associated second update value and a time slot allocation second update value as decision variable input values, outputting the power allocation and bandwidth allocation second update values, judging that the second update values exist when the output times of all allocation optimization variable update values are the same, increasing the iteration times, wherein the iteration times are 2, and executing S7;
and judging that the iteration times reach the iteration times threshold, and outputting an emergency communication resource optimization allocation strategy by using the user-associated second update value, the time slot allocation second update value, the power allocation and the bandwidth allocation second update value.
As shown in fig. 4, as a third embodiment of the present application, a mobile Device is used as a relay base station, that is, device-to-Device (D2D) communication is directly performed between mobile devices, and a D2D communication system includes a geostationary satellite and a plurality of mobile devices. Since the mobile devices are controlled by users, one mobile device corresponds to one access user. The mobile device now acts as both a user equipment and a relay base station. Mobile devices can communicate and exchange data directly without relying on conventional base stations or a centralized network architecture. Therefore, the transit link transmission model is constructed by using the user parameters and the transit base station parameters as follows:
；
Wherein,for transfer link transmission rate +.>For D2D link->Allocating the resulting bandwidth>For the transmission power of the user, +.>Channel gain for D2D link, +.>Is the noise power spectral density.
The user equipment forms an self-organizing network through a dynamic routing protocol, so that information can be transferred between users. The geostationary satellite provides distributed resource management services for the D2D network, enabling it to have the ability to adapt to dynamic changes in network topology of varying environments. All user equipments are defined as a setD2 formed by mutual communication between device pairsD-Link is defined as set +.>All D2D links multiplex channel resources for terrestrial communications in an OFDMA manner. At this time, since D2D communication is directly performed between devices, delay of data transmission is generally low and is not affected by network congestion or transmission delay, and the geostationary satellite only performs auxiliary control networking, so that radio resource allocation in the satellite communication system does not need to be considered, and at this time, with the goal of maximizing link throughput, constructing an optimization objective function includes:
and (3) aiming at maximizing link throughput, constructing an optimization objective function according to a transfer link transmission model:
；
in this embodiment, optimizing the resource allocation of the D2D link to obtain the throughput of the maximized system, at this time, the complex multivariable coupling problem, that is, the optimization objective function, is also divided into a plurality of sub-problems according to the optimization allocation requirement, the non-convex problem therein is solved by using the branch-and-bound method, and finally the optimal solution is approximated by using the alternate optimization iteration, thereby obtaining the emergency communication resource optimization allocation strategy when the D2D link is constructed. In the case where communication infrastructure such as a base station is damaged to cause communication interruption, a temporary communication network can be quickly established in the case of a disaster area or network interruption using the D2D communication technology. In the D2D communication mode, wireless communication can still be established between two adjacent mobile terminals to form an ad hoc network, so that the system can flexibly adapt to different emergency scenes and communication requirements, and guarantee is provided for disaster relief. In addition, the geostationary satellite may be used as a relay station to enable communication across the D2D network, by means of which a user may connect to terminals in other D2D networks. Resource scheduling and interference management are performed in satellite auxiliary control, so that the rate of D2D communication of a user can be well improved, and flexible network construction and deployment are realized.
As shown in fig. 5, as a fourth embodiment of the present application, both the emergency base station and the mobile device are used as the relay base station, that is, the emergency communication system is composed of the emergency base station, the geostationary satellite, and a plurality of mobile devices. The user can be connected to the nearby emergency base station to obtain reliable communication service, and can also directly perform D2D communication with other users in areas where the network is limited or the base station cannot normally provide service. In this embodiment, the mobile device is not present to connect to the emergency base station and conduct D2D communications at the same time, where the emergency base station shares the total bandwidth of the terrestrial wireless communication system with the D2D communication link. The construction of the transit link transmission model by the user parameters and the transit base station parameters comprises the following steps:
constructing a first transfer link transmission model according to the user parameters and the emergency base station parameters;
and constructing a second transfer link transmission model according to the user parameters.
The construction of the optimization objective function with the aim of maximizing the link throughput includes:
and constructing an optimization objective function according to the satellite link transmission model, the first transit link transmission model and the second transit link transmission model by taking the maximization of the link throughput as a target.
At this time, a first transfer link transmission model is constructed by using the user parameters and the emergency base station parameters as follows:
；
Wherein,for user->Downlink transmission rate,/, and>for user->And transit base station->The association indicates that the variable is to be changed,the proportion of the time slots allocated to each user in a transmission frame, +.>Bandwidth allocated to each transit base station, < > for each transit base station>Is a transit base station->Is->Transmit power for downlink communication, +.>For the channel gain of the downlink, +.>Is the noise power spectral density.
Constructing a second transfer link transmission model by using the user parameters as follows:
；
wherein,for the second transit link transmission rate, +.>For D2D link->Allocating the resulting bandwidth>For the transmission power of the user, +.>Channel gain for D2D link, +.>Is the noise power spectral density.
With the aim of maximizing link throughput, constructing an optimization objective function according to a satellite link transmission model, a first transit link transmission model and a second transit link transmission model as follows:
；
wherein:、/>、/>weighting coefficients for balancing the rates of base station communication, D2D communication and satellite communication, respectively.
Also, separate settings based onIs based on +.>Is based on the decision matrix of (a) and the settingAcquiring relevant influence factors, acquiring historical relevant influence factor data and historical base station communication, D2D communication and satellite communication rates according to the relevant influence factors, respectively calculating to obtain current relevant influence factor weights, and respectively calculating +_according to the decision matrix >、/> 、/> 。
There is a bandwidth constraint at this point:
；
i.e. all D2D linksThe sum of the allocated bandwidth and the bandwidth allocated by all the transit base stations must not exceed the total bandwidth of the terrestrial wireless communication system.
In this embodiment, the optimization objective function is divided into a plurality of optimization sub-problems according to a plurality of allocation optimization variables, and according to the characteristics of the optimization sub-problems, the optimization solution is performed by adopting a branch-and-bound method and a convex optimization method respectively. Specifically, when performing a user-associated sub-problem solution, since the user-associated variable is an integer variable, the sub-problem is an integer programming problem, and thus can be solved by classical methods such as a branch-and-bound method. When performing a slot allocation sub-problem solution, the optimal slot resource allocation solution can be obtained by classical convex optimization methods, such as the interior point method, because the sub-problem is a linear programming problem.
With the technical scheme of the embodiment, the mobile equipment can autonomously select to carry out D2D communication networking or communicate under the cooperation of the emergency base station, thereby providing omnibearing communication coverage capacity without dead angles and having high flexibility.
As a fifth embodiment of the present application, a multi-level cooperative scheduling method for emergency satellite communication includes:
S11: constructing a satellite link transmission model by using satellite parameters, and constructing a transit link transmission model by using user parameters and transit base station parameters;
s12: acquiring the power loss of a historical transfer base station and link transmission parameters, and constructing a power loss model;
s21: constructing a first layer of optimization objective function by taking the maximum link throughput as a target, and constructing a second layer of optimization objective function by taking the minimum power loss as a target;
s22: constructing a double-layer optimization model by using the first-layer optimization objective function and the second-layer optimization objective function;
s3: acquiring real-time satellite parameters, transit base station parameters and user parameters, dividing a plurality of distribution optimization variables according to the optimization distribution requirements, and giving initial distribution values of the distribution optimization variables;
s4: dividing the first layer optimization objective function into a plurality of optimization sub-problems according to a plurality of distribution optimization variables;
s5: sequentially selecting optimization sub-problems, taking corresponding allocation optimization variables as optimization targets, and taking the rest allocation optimization variables as decision variables;
s6: judging whether the other distribution optimization variables have updated values, if so, solving the corresponding distribution optimization variable updated values by taking the updated values as decision variable input values, increasing the iteration times, and if not, solving the corresponding distribution optimization variable updated values by taking the initial distribution values as the decision variable input values, and executing S5;
S71: setting an iteration number threshold, judging whether the iteration number reaches the iteration number threshold, if so, outputting a first layer of optimized solution set by using updated values of all current allocation optimized variables, and if not, executing S5-S6;
s72: setting a learning step length, carrying out optimization solution on the second-layer optimization objective function according to the first-layer optimization solution set, outputting a second-layer optimization objective function update value, and repeatedly executing S5-S72 until a circulation stop condition is met;
s73: outputting an emergency communication resource optimizing and distributing strategy by using an updating value of the distributing optimizing variable when the circulation stopping condition is met;
s8: and executing the multi-level collaborative scheduling according to the emergency communication resource optimization allocation strategy.
In this embodiment, considering that the distribution line may be damaged when a disaster occurs, at this time, the relay base station does not have power supply supplement, and only can call the emergency energy storage battery to perform emergency supply, but cannot ensure duration of the disaster and recovery power supply time, so that a double-layer optimization model is constructed with maximized link throughput and minimum power consumption, and a resource allocation strategy for balancing link transmission rate and power consumption is calculated, thereby prolonging the service time of the relay base station when no power is supplied, and providing continuous and reliable disaster area information transfer service for rescue and relief.
Specifically, the power loss and link transmission parameters of the historical transfer base station are obtained, and a power loss model is constructed as follows:
；
wherein,for the amount of power loss of the transit base station k +.>For the link transmission rate of transit base station k +.>Is the loss parameter of the transit base station k.
The second layer optimization objective function is constructed by taking the minimum electric energy loss as a target, and the second layer optimization objective function is as follows:
；
the electric energy loss of all the transit base stations at any moment is minimum, and the electric energy loss is obtained according to an electric energy loss model:
；
the electric energy loss is smaller than the emergency electric energy of the transit base station k, namely, the electric energy constraint condition is constructed as follows:
；
wherein,for the total emergency power of the transit base station k +.>For the link transmission rate of transit base station k +.>Is the loss parameter of the transit base station k. When the transit base station is only an emergency base station, < > is>Is-> 。
At this time, according to the historical power consumption of the transit base station and the link transmission parameters, the method calculatesExecuting the sub-problem solving of the first layer optimization objective function, outputting a first layer optimization solution set, substituting the first layer optimization solution set into the second layer optimization objective function, and updating +_in the learning step length>Output->Repeating the iterative optimization of the first layer optimization objective function and the second layer optimization objective function until +. >The updated values of (a) converge to obtain the resource allocation parameter at the termination of the iteration +.>Value, at this point, the distribution optimization variable update value and loss parameter that balance minimum power loss and maximum link throughput are obtained>And outputting an emergency communication resource optimization allocation strategy to perform resource optimization allocation by using the allocation optimization variable update value.
At the bookIn an embodiment, the loop stop condition is convergence of the second layer optimization objective function update valueThe updated value of (2) converges, and in other embodiments, the second layer optimization iteration number can be set, and when the iteration number is reached, the loop stops.
The step S4 of dividing the first layer optimization objective function into a plurality of optimization sub-problems according to a plurality of allocation optimization variables further includes:
and constructing user association constraint conditions.
Because the electric energy storage capacity of different relay base stations is different, when two relay base station signal coverage exists in the area where the user is located, the relay base station with higher electric energy storage capacity provides communication service, so that the electric energy use condition is balanced. The construction of user association constraint conditions is as follows:
；
wherein,for providing the power storage capacity of the serving relay base station +.>And storing power for any relay base station overlapping with the range of the relay base station providing service. When solving the user-associated sub-problem, judging the relay base station with the highest electricity storage capacity in the relay base stations with the overlapped range, taking the association indicating variable of the relay base station with the highest electricity storage capacity and the user as 1, and taking the association indicating variable of the rest relay base stations and the user as 0, so that the relay base station with the highest electricity storage capacity is used for providing service for the user all the time.
As a sixth embodiment of the present application, a multi-level cooperative scheduling system for emergency satellite communication includes:
the satellite is used as a relay station to be connected with a plurality of relay base stations;
a transit base station for providing communication for users;
the control terminal is used for acquiring the real-time satellite parameters, the transit base station parameters and the user parameters, outputting an emergency communication resource optimization allocation strategy and regulating and controlling the emergency communication resource allocation.
Because the satellite parameters do not change with time, the satellite parameters can be locally stored in the control terminal for retrieval, in some embodiments, the transit base station is the mobile equipment of the user, the number of the mobile equipment to be accessed at the moment can be manually input to the control terminal according to actual conditions, and the control terminal outputs an emergency communication resource optimization allocation strategy according to local storage data and manual input data so as to realize multistage collaborative scheduling.
In other embodiments, the transit base station includes an emergency base station and a mobile device, the emergency base station being connected to the satellite and the mobile device, respectively, the mobile device being configured to communicate user communications.
At this time, the satellite is used as a relay station to connect with a plurality of emergency base stations, a plurality of mobile devices are connected with the emergency base stations, and the process of transmitting information by users is that the users are mobile devices, the emergency base stations, the satellite, the ground base stations and the users. Because the user sending the message may be located in the disaster area, and the user receiving the message may be located in the disaster area, the user receiving the message is communicated by the ground base station, and the ground base station may be an emergency base station or a normal base station.
As a seventh embodiment of the present application, a computer-readable storage medium is configured to store a computer program or instructions, which when executed by a processing device, implement a multi-level cooperative scheduling method for emergency satellite communication as described above. Computer readable storage media can be any available media that can be stored by a computing device or data storage device such as a data center containing one or more available media. Usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid state disk), among others.
The above embodiments are preferred embodiments of a multi-level cooperative scheduling method and system for emergency satellite communication, and are not limited to the specific embodiments, but the scope of the application includes but is not limited to the equivalent changes of the shape and structure according to the application are all within the protection scope of the application.

Claims (10)

1. A multistage cooperative scheduling method for emergency satellite communication is characterized in that: the method comprises the following steps:
s1: constructing a satellite link transmission model by using satellite parameters, and constructing a transit link transmission model by using user parameters and transit base station parameters;
S2: constructing an optimization objective function by taking the maximization of the link throughput as a target;
s3: acquiring real-time satellite parameters, transit base station parameters and user parameters, dividing a plurality of distribution optimization variables according to the optimization distribution requirements, and giving initial distribution values of the distribution optimization variables;
s4: dividing an optimization objective function into a plurality of optimization sub-problems according to a plurality of allocation optimization variables;
s5: sequentially selecting optimization sub-problems, taking corresponding allocation optimization variables as optimization targets, and taking the rest allocation optimization variables as decision variables;
s6: judging whether the other distribution optimization variables have updated values, if so, solving the corresponding distribution optimization variable updated values by taking the updated values as decision variable input values, increasing the iteration times, and if not, solving the corresponding distribution optimization variable updated values by taking the initial distribution values as the decision variable input values;
s7: setting an iteration number threshold, judging whether the iteration number reaches the iteration number threshold, if so, outputting an emergency communication resource optimization allocation strategy by using the updated values of all the current allocation optimization variables, and if not, executing S5-S6;
s8: and executing the multi-level collaborative scheduling according to the emergency communication resource optimization allocation strategy.
2. The multi-level cooperative scheduling method for emergency satellite communication according to claim 1, wherein:
The construction of the satellite link transmission model by satellite parameters is as follows:
；
wherein,for satellite and transit base station->Rate of the downlink communication link, +.>Transmit power for satellite downlink communication link, < >>Channel gain for satellite downlink communication link, < >>Distributing the obtained downlink spectrum resource for the transit base station, < > for>Is the noise power spectral density.
3. The multi-level cooperative scheduling method for emergency satellite communication according to claim 2, wherein:
the construction of the transfer link transmission model by using the user parameters and the transfer base station parameters is as follows:
；
wherein,for user->Descending downwardsTransmission rate,/-)>For user->And transit base station->Associating an indicating variable +.>The proportion of the time slots allocated to each user in a transmission frame, +.>Bandwidth allocated to each transit base station, < > for each transit base station>Is a transit base station->Is->Transmit power for downlink communication, +.>Is the channel gain for the downlink.
4. The multi-level cooperative scheduling method for emergency satellite communication according to claim 3, wherein:
the objective of maximizing the link throughput is to construct an optimization objective function, which comprises the following steps:
constructing an optimization objective function according to the satellite link transmission model and the transfer link transmission model:
；
Wherein,to weigh the weight coefficients of terrestrial communication and satellite communication rates.
5. The multi-level cooperative scheduling method for emergency satellite communication according to claim 1, wherein:
the method comprises the steps of acquiring real-time satellite parameters, transit base station parameters and user parameters, dividing a plurality of distribution optimization variables according to the optimization distribution requirements, and setting the initial distribution values of the distribution optimization variables as follows:
and acquiring real-time satellite parameters, transit base station parameters and user parameters, taking user association, power allocation, bandwidth allocation and time slot allocation as allocation optimization variables, and giving an initial allocation value of user association, an initial allocation value of power allocation and bandwidth allocation and an initial allocation value of time slot allocation.
6. The multi-level cooperative scheduling method for emergency satellite communication according to claim 1, wherein:
the step S6 comprises the following steps:
s61: judging whether the other distribution optimization variables have updated values, if so, executing S62, and if not, executing S64;
s62: solving the corresponding allocation optimization variable update value by taking the update value as a decision variable input value, and executing S63;
s63: judging whether the output times of all the distributed optimization variable updating values are the same, if so, increasing the iteration times, and if not, executing S5;
S64: and solving the corresponding allocation optimization variable updating value by taking the initial allocation value as a decision variable input value, and executing S5.
7. The multi-level cooperative scheduling method for emergency satellite communication according to claim 1, wherein:
the construction of the transfer link transmission model by using the user parameters and the transfer base station parameters is as follows:
；
wherein,for transfer link transmission rate +.>For D2D link->Allocating the resulting bandwidth>For the transmission power of the user, +.>Channel gain for D2D link, +.>Is the noise power spectral density.
8. The multi-level cooperative scheduling method for emergency satellite communication according to claim 7, wherein:
the objective of maximizing the link throughput is to construct an optimization objective function, which comprises the following steps:
and (3) aiming at maximizing link throughput, constructing an optimization objective function according to a transfer link transmission model:
。
9. the multi-level cooperative scheduling method for emergency satellite communication according to claim 1, wherein:
the construction of the transit link transmission model by using the user parameters and the transit base station parameters comprises the following steps: constructing a first transfer link transmission model according to the user parameters and the emergency base station parameters; constructing a second transfer link transmission model according to the user parameters;
The objective of maximizing the link throughput is to construct an optimization objective function, which comprises the following steps:
and constructing an optimization objective function according to the satellite link transmission model, the first transit link transmission model and the second transit link transmission model by taking the maximization of the link throughput as a target.
10. A multi-level cooperative scheduling system for emergency satellite communication, configured to implement a method according to any one of claims 1 to 9, wherein: comprising the following steps:
the satellite is used as a relay station to be connected with a plurality of relay base stations;
a transit base station for providing communication for users;
the control terminal is used for acquiring the real-time satellite parameters, the transit base station parameters and the user parameters, outputting an emergency communication resource optimization allocation strategy and regulating and controlling the emergency communication resource allocation.
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