Advanced Spacecraft/Satellite Technologies (2nd Edition)

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Astronautics & Space Science".

Deadline for manuscript submissions: 5 June 2026 | Viewed by 894

Special Issue Editor


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Guest Editor
School of AMME, The University of Sydney, Camperdown, NSW 2006, Australia
Interests: space engineering; space manipulators
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Special Issue Information

Dear Colleagues,

Space is now considered as the new frontier. The rapid progress of space technologies has led to new applications of satellites for commercial and scientific missions. Missions such as asteroid mining, human space explorations, on-orbit servicing, and many others are under development or have been proposed. Consequently, future spacecraft must have the required systems and technologies that enable future space missions to operate reliably and safely in the harsh environment of space. For example, technologies that can provide astronauts with air, water, and food are essential for manned missions and interplanetary colonization and so need to be investigated and developed. Spaceborne robotic autonomous perception and intervention are required for asteroid mining, as well as on-orbit servicing, assembly, and manufacturing. At the same time, these missions are pushing spacecraft technologies to the next level. Such relevant technologies include, but are not limited to, propulsion, power, thermal management, radiation protection, communication, and high-performance onboard computing, all of which support onboard artificial intelligence and onboard data handling.

This Special Issue invites researchers to submit their original research papers on advanced spacecraft/satellite technologies that would make future missions possible. The topics include but are not limited to:

  • Attitude dynamics and control;
  • Relative pose estimation;
  • Advanced propulsion;
  • Guidance, navigation, and orbit control;
  • Life support systems for human space exploration;
  • Thermal management;
  • Radiation protection;
  • Energy harvesting;
  • Artificial intelligence for satellites;
  • Space robotics;
  • Satellite communications;
  • Space structure and assembly;
  • Command and data handling;
  • Space situational awareness.

Dr. Xiaofeng Wu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • radiation protection
  • thermal management
  • guidance, navigation and control
  • space power and propulsion
  • space structure
  • communication
  • life support
  • on-orbit servicing, assembly, and manufacturing
  • artificial intelligence

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Published Papers (1 paper)

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Research

19 pages, 1361 KB  
Article
A New Method for Optimizing Low-Earth-Orbit Satellite Communication Links Based on Deep Reinforcement Learning
by He Yu, Shengli Li, Junchao Wu, Yanhong Sun and Limin Wang
Aerospace 2026, 13(3), 285; https://doi.org/10.3390/aerospace13030285 - 18 Mar 2026
Viewed by 425
Abstract
In low-Earth-orbit (LEO) satellite networks, the need for intelligent parameter-adjustment strategies has become increasingly critical due to the presence of highly dynamic channel conditions, limited spectrum resources, and complex interference environments. In this paper, a method for optimizing LEO satellite communication links based [...] Read more.
In low-Earth-orbit (LEO) satellite networks, the need for intelligent parameter-adjustment strategies has become increasingly critical due to the presence of highly dynamic channel conditions, limited spectrum resources, and complex interference environments. In this paper, a method for optimizing LEO satellite communication links based on deep reinforcement learning (DRL) is proposed. Through the optimization of the transmit power, the modulation and coding scheme (MCS), the beamforming parameters, and the retransmission mechanisms, adaptive link control is achieved in dynamic operational scenarios. A multidimensional state space is constructed, within which the channel state information, the interference environment, and the historical performance metrics are integrated. The spatio-temporal characteristics of the channel are extracted by means of a hybrid neural architecture that incorporates a convolutional neural network (CNN) and a long short-term memory (LSTM) network. To effectively accommodate both continuous and discrete action spaces, a hybrid DRL framework that combines proximal policy optimization (PPO) with a deep Q-network (DQN) is employed, thereby enabling cross-layer optimization of the physical-layer and link-layer parameters. The results demonstrate that substantial improvements in throughput, bit error rate (BER), and transmit-power efficiency are achieved under severely time-varying channel conditions, which provides a new idea for resource management and dynamic-environment adaptation in satellite communication systems. Full article
(This article belongs to the Special Issue Advanced Spacecraft/Satellite Technologies (2nd Edition))
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