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Intelligent resource joint scheduling method under environment uncertainty remote sensing satellite network

A remote sensing satellite and joint scheduling technology, which is applied in the field of satellite communication, can solve the problems that the static algorithm is too idealized, cannot be applied to the remote sensing satellite network, and the first dynamic algorithm is not applicable, so as to improve transmission performance, reduce complexity, and improve The effect of accuracy

Active Publication Date: 2021-02-26
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the static algorithm is too idealized, and its non-causality makes it unsuitable for remote sensing satellite networks
Since the remote sensing satellite network has no fixed and definite statistical characteristics, the first dynamic algorithm is also not applicable
The second dynamic algorithm can be used to solve the resource scheduling problem of the remote sensing satellite network, but the current research focuses on the general energy harvesting system, without considering the task flow of the remote sensing satellite network and the particularity of its environment

Method used

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  • Intelligent resource joint scheduling method under environment uncertainty remote sensing satellite network
  • Intelligent resource joint scheduling method under environment uncertainty remote sensing satellite network
  • Intelligent resource joint scheduling method under environment uncertainty remote sensing satellite network

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Embodiment 1

[0032] The particularity and dynamic variability of the remote sensing satellite network environment and the diversity of remote sensing satellite energy consumption make the remote sensing satellite network different from other communication networks. There are many studies on remote sensing satellite network resource scheduling, which can be divided into static and dynamic categories according to whether the environmental data needs to be predicted. The static algorithm is based on the known environment, which means that before the satellite starts to transmit the mission, it needs to know the environmental data at all times in the future. Static algorithms have been widely studied. Although static algorithms have improved the upper bound of remote sensing satellite network performance, due to the fact that static algorithms are too idealized, their non-causality limits their application, resulting in few applicable scenarios and unable to meet real life. most of the scenes....

Embodiment 2

[0047] The intelligent resource joint scheduling method under the remote sensing satellite network with uncertain environment is the same as that in Embodiment 1. In order to avoid the resource scheduling method from falling into local optimum, the ε-greedy strategy is adopted in the learning phase. In the early stage of the learning phase, remote sensing satellites are more inclined to explore, that is, to adopt resource scheduling schemes that have not been tried; in the late learning phase, remote sensing satellites are more inclined to be greedy, that is, to choose the best resource scheduling scheme from the existing experience.

[0048] The guiding satellite of step (4) of the present invention carries out power allocation, is to use ε-greedy strategy to select an action P in the feasible action set i As a combination of receiving and transmitting power, the remote sensing satellite receives and transmits corresponding data at the cost of energy consumption according to t...

Embodiment 3

[0059] The intelligent resource joint scheduling method under the environment uncertain remote sensing satellite network is the same as that in embodiment 1, and the six-dimensional feature vector f is calculated as described in step (4b). i (S i ,P i ), specifically the investigation of the following six dimensions.

[0060] (4b1) Calculation of the first dimension: the first dimension indicates whether the action considers the battery energy state, that is, whether the energy consumed by performing the action can eliminate the potential energy overflow phenomenon caused by the absorption of solar energy. In resource-constrained remote sensing satellite networks, the supply of solar energy is precious, and remote sensing satellites should make full use of the acquired solar energy to realize data storage and transmission. Its characteristic function f 1 (S i ,P i ) is expressed as follows:

[0061]

[0062] in, Indicates the energy consumption of the current time s...

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Abstract

The invention discloses an intelligent resource joint scheduling method in an environment-uncertain remote sensing satellite network, and solves the problem of remote sensing satellite transmission performance optimization in a time-varying and unmeasurable network environment. The method comprises the steps of establishing an environment uncertainty remote sensing satellite network model; generating environmental parameter data; initializing required parameters; guiding satellite power distribution; pre-transferring a network state; guiding satellite power pre-distribution; updating and judging network parameters; updating the network state, the action and the current time slot number; and the obtained network parameters provide guidance for multi-dimensional resource scheduling. Networkenvironment parameter data under a certain scale and parameters are obtained through software simulation, a six-dimensional characteristic function is defined, and a weight vector linear approximationaction value function is combined. According to the method, the problem of network state space continuity is solved, excessive estimation of parameter updating is avoided, the method is suitable fora remote sensing satellite network in a dynamic random change environment in the future, and guidance is provided for network planning and network optimization.

Description

technical field [0001] The invention relates to the technical field of satellite communication, and mainly relates to joint scheduling of remote sensing satellite network resources, in particular to an intelligent dynamic resource joint scheduling method for remote sensing satellite networks with uncertain environments, which can be used for remote sensing satellite networks in time-varying and unpredictable environments. Background technique [0002] Compared with terrestrial communication networks, satellite networks have the advantages of long communication distances, high communication quality, and communication services that are not restricted by geographical conditions and affected by natural disasters. In recent years, as people's demand for high-time, high-precision, and high-efficiency remote sensing data has surged, the country has continued to increase investment in and construction of satellite remote sensing services, and the remote sensing satellite network has ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/185H04L12/24H04W24/02H04W24/06H04W28/16H04W72/04
CPCH04B7/18513H04B7/18519H04L41/145H04W24/02H04W24/06H04W28/16H04W72/0446H04W72/0473
Inventor 周笛王怡昕盛敏李建东吴家鑫戴诺伊王晨光白卫岗
Owner XIDIAN UNIV
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