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Energy efficiency optimization method and device of integrated ground satellite network

A ground satellite and optimization method technology, applied in the direction of network topology, neural learning method, biological neural network model, etc., to achieve the effect of improving energy efficiency and realizing energy efficiency

Active Publication Date: 2021-03-23
UNIV OF SCI & TECH BEIJING
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  • Application Information

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Problems solved by technology

[0004] The present invention provides an energy efficiency optimization method and device for an integrated terrestrial satellite network. By using multi-agent deep reinforcement learning technology in an integrated terrestrial satellite network based on NOMA, user collaboration and power control are realized to obtain the maximum energy efficiency of the system. Solving energy efficiency optimization problems for integrated terrestrial satellite networks

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  • Energy efficiency optimization method and device of integrated ground satellite network
  • Energy efficiency optimization method and device of integrated ground satellite network
  • Energy efficiency optimization method and device of integrated ground satellite network

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no. 1 example

[0047] In view of the low energy efficiency of the integrated terrestrial satellite network, this embodiment provides an energy efficiency optimization method for the integrated terrestrial satellite network, which mainly applies the NOMA technology to the scene of the integrated terrestrial satellite network, and uses MADDPG-based The optimal energy efficiency optimization of the deep reinforcement learning framework is carried out, thereby improving the total energy efficiency of the entire system. The method can be implemented by an electronic device, and the electronic device can be a terminal or a server. The execution flow of this method is as follows figure 2 shown, including the following steps:

[0048] S101, constructing an integrated terrestrial satellite network system model;

[0049] Such as figure 1 As shown, the integrated terrestrial satellite network system of this embodiment includes multiple ground base stations and multiple near-Earth satellites in the ...

no. 2 example

[0068] This embodiment provides an energy efficiency optimization device for integrating a terrestrial satellite network, the device comprising:

[0069] The integrated terrestrial satellite network system model building module is used to construct the integrated terrestrial satellite network system model; wherein, the integrated terrestrial satellite network system includes a plurality of base stations and a plurality of near-Earth satellites, and a plurality of base stations and a plurality of satellites are used for Services provided by multiple users;

[0070] An energy efficiency optimization problem modeling module, used to model the energy efficiency optimization problem of the integrated terrestrial satellite network system as a Markov decision model;

[0071] The energy efficiency optimization module of the integrated terrestrial satellite network is used to abstract each user in the integrated terrestrial satellite network system into an agent, with the goal of maxim...

no. 3 example

[0074] This embodiment provides an electronic device, which includes a processor and a memory; at least one instruction is stored in the memory, and the instruction is loaded and executed by the processor, so as to implement the method of the first embodiment.

[0075] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) and one or more memories, wherein at least one instruction is stored in the memory, so The above instruction is loaded by the processor and executes the above method.

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Abstract

The invention discloses an energy efficiency optimization method and device of an integrated ground satellite network. The method comprises the following steps: constructing an integrated ground satellite network system model, wherein the integrated ground satellite network system comprises a plurality of base stations and a plurality of near-earth satellites, and the plurality of base stations and the plurality of near-earth satellites are used for providing services for users; an energy efficiency optimization problem of the integrated ground satellite network system is modeled into a Markovdecision model; according to the method, each user in an integrated ground satellite network system is abstracted into an intelligent agent, the maximization of the total energy efficiency of the system is taken as a target, and on the basis of a Markov decision model, the energy efficiency optimization of the system is realized by adopting a multi-intelligent-agent deep reinforcement learning framework based on a deep deterministic strategy gradient algorithm MADDPG. User cooperation and power control can be realized for the integrated ground satellite network, so that optimal energy efficiency optimization is obtained, and the energy efficiency of the whole system is improved.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to an energy efficiency optimization method and device for integrating a terrestrial satellite network. Background technique [0002] As the integration of satellite network and terrestrial network, space-ground integration has received extensive attention and research. It can simultaneously ensure high reliability, low latency, and provide ubiquitous communication. In recent years, the application of NOMA technology in an integrated ground satellite network composed of multiple base stations on the ground and multiple near-Earth satellites in the air is considered to be a promising scenario. In the integrated ground satellite network scenario, ground base stations provide low-cost communication services, and satellites can be used to cover and serve users that ground base stations cannot serve, such as underdeveloped areas on land, to achieve greater coverage distanc...

Claims

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Application Information

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IPC IPC(8): H04B7/185H04W24/02H04W24/06H04W52/38G06N3/08H04W84/06
CPCG06N3/08H04B7/18519H04W24/02H04W24/06H04W52/38H04W84/06
Inventor 张海君李孝楠隆克平
Owner UNIV OF SCI & TECH BEIJING
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