The advent of SpaceX's reusable rocket technology has fundamentally altered the economics of space access, reducing launch costs by approximately twenty-fold and triggering cascading effects throughout the satellite industry. This letter analyzes the quantitative impact of launch cost deflation on satellite deployment strategies, examines downstream industry transformations, and explores the resulting market structure changes. We find that the dramatic reduction in launch costs has enabled new business models, shifted industry concentration patterns, and democratized space access for smaller players. The analysis suggests we are witnessing the early stages of a structural transformation in the space economy, with implications extending far beyond traditional aerospace sectors.

In recent years, the rapid development of commercial satellite projects, such as low-Earth orbit (LEO) communication and remote sensing constellations, has driven the satellite industry toward low-cost, rapid development, and large-scale deployment. Commercial off-the-shelf (COTS) components have been widely adopted across various commercial satellite platforms due to their advantages of low cost, high performance, and plug-and-play availability. However, the space environment is complex and hostile. COTS components were not originally designed for such conditions, and they often lack systematically flight-verified protective frameworks, making their reliability issues a core bottleneck limiting their extensive application in critical missions. This paper focuses on COTS solid-state drives (SSDs) onboard the Jilin-1 KF satellite and presents a full-lifecycle reliability practice covering component selection, system design, on-orbit operation, and failure feedback. The core contribution lies in proposing a full-lifecycle methodology that integrates proactive design—including multi-module redundancy architecture and targeted environmental stress screening—with on-orbit data monitoring and failure cause analysis. Through fault tree analysis, on-orbit data mining, and statistical analysis, it was found that SSD failures show a significant correlation with high-energy particle radiation in the South Atlantic Anomaly region. Building on this key spatial correlation, the on-orbit failure mode was successfully reproduced via proton irradiation experiments, confirming the mechanism of radiation-induced SSD damage and providing a basis for subsequent model development and management decisions. The study demonstrates that although individual COTS SSDs exhibit a certain failure rate, reasonable design, protection, and testing can enhance the on-orbit survivability of storage systems using COTS components. More broadly, by providing a validated closed-loop paradigm—encompassing design, flight verification and feedback, and iterative improvement—we enable the reliable use of COTS components in future cost-sensitive, high-performance satellite missions, adopting system-level solutions to balance cost and reliability without being confined to expensive radiation-hardened products.

Modern power transmission systems are required to meet increasingly stringent demands, including a wide range of transmission ratios, compact dimensions, high precision, energy efficiency, reliability, and thermal stability under dynamic operating conditions. Among the solutions that satisfy these requirements, cycloidal reducers are particularly prominent, with their application continuously expanding in industrial robotics, computer numerical control (CNC) machines, and military and transportation systems, as well as in the satellite industry. However, as with all mechanical power transmissions, friction in the contact zones of load-carrying elements in cycloidal reducers leads to power losses and an increase in operating temperature, which in turn results in a range of adverse effects. These undesirable phenomena strongly depend on lubrication conditions, namely on the type and properties of the applied lubricant. Although manufacturers’ catalogs provide general recommendations for lubricant selection, they do not address the fundamental tribological mechanisms in the most heavily loaded contact pairs. At the same time, the available scientific literature reveals a significant lack of systematic and experimentally validated studies examining the influence of lubricant type on the energetic and thermal performance of cycloidal reducers. To address this identified research gap, this study presents an analytical and experimental investigation of the effects of different lubricant types—primarily greases and mineral oils—on the thermal stability and efficiency of cycloidal reducers. The results demonstrate that grease lubrication provides lower total power losses and a more stable thermal operating regime compared to oil lubrication, while oil film thickness analyses indicate that the most unfavorable lubrication conditions occur in the contact between the eccentric bearing rollers and the outer raceway. These findings provide valuable guidelines for engineers involved in cycloidal reducer design and lubricant selection under specific operating conditions, as well as deeper insight into the lubricant behavior mechanisms within critical contact zones.

The Small Satellite (SmallSat) industry has advanced significantly, with CubeSats playing crucial roles in Earth observation and scientific research due to their low cost and modularity. The Electrical Power System (EPS) is a critical subsystem that integrates photovoltaic sources, energy storage, and power converters to ensure reliable operation. However, EPS design faces challenges from strict size limitations, high power density requirements, and extreme space conditions, demanding robust control strategies. This paper presents a hierarchical control approach for islanded nano-satellite microgrids under real flight conditions. The dual-layer architecture combines a proportional-integral (PI) controller for secondary voltage regulation and a non-singular terminal sliding mode (NTSM) controller for primary disturbance rejection. The solution provides four key advantages: (1) robust handling of dynamic operational conditions including sudden constant power load variations, source fluctuations, and islanding/connection mode transitions; (2) decoupled control architecture separating high-level power management from fast local regulation; (3) optimized computational efficiency for onboard processing constraints; and (4) enhanced environmental robustness through NTSM’s inherent stability in extreme thermal/radiation conditions. Comprehensive validation through stability analysis, simulations, and experimental testing demonstrates superior performance versus conventional methods, with significant improvements in transient response speed, steady-state error reduction, and disturbance rejection capability. The proposed framework offers a practical solution for nano-satellite power management, directly addressing the unique constraints of space applications while maintaining system reliability and efficiency under dynamic operational conditions.

Since 2019, Starlink satellites, with their innovative flat-panel design and unprecedented number in orbit, have transformed the traditional satellite industry. Due to their mass production characteristics, flat-panel satellites face a pressing need for satellite layout optimization design (SLOD), particularly for feasible optimization results applicable in engineering. Existing layout optimization algorithms often focus on theoretical optima, computational efficiency, and multi-objective capabilities. Most algorithms are validated exclusively through numerical or CAD-based simulations, leaving their engineering applicability under-reported. This paper establishes a simplified mathematical model of SLOD with consideration for the key features of flat-panel satellites. Furthermore, we propose a differential evolution algorithm that leverages local optima for the layout optimization design of flat-panel satellites. By making targeted and limited improvements to initial human-designed layouts, the algorithm generates practical engineering solutions that significantly enhance the stacking efficiency, mass properties, and thermal distribution of flat-panel satellites. Finally, the effectiveness and engineering feasibility of the algorithm were verified through the design of Longjiang-3, China’s first flat-panel satellite, and the results were also validated in orbit. Compared with the baseline configuration, the optimized layout reduces the principal moment of inertia by 6.6% and the satellite module height by 3.5%. It also achieves a significant improvement in thermal power uniformity across the structure. Overall, the key layout metrics are enhanced by 26%. The present research results provide a theoretical basis and engineering solutions for the SLOD of flat-panel satellites.

Against the backdrop of a reshaped global geopolitical landscape and the deep integration of commercial space activities, remote sensing satellite enterprises are entering a critical period of strategic transformation. Based on the author's years of practical experience in the international operations of remote sensing companies, this paper focuses on three key management dimensions: human resources organization, financial operations, and foreign affairs channels. It identifies core challenges in the current international market and explores responsive mechanisms. The paper proposes a "Technology–Market–Politics" collaborative framework, emphasizing the importance of cross-departmental coordination in enhancing global resilience. Particularly in remote sensing cooperation along the Belt and Road countries, a single technical capability is insufficient to support complex projects. Instead, a stable international cooperation system must be built upon multidisciplinary talent, dynamic financial mechanisms, and diversified diplomatic strategies. This study aims to provide practice-based strategic insights for Chinese commercial space enterprises going global, while also offering empirical support and real-world interpretation for the management theory of remote sensing space activities.

Anthropogenic changes to our Earth’s climate system are amongst the most pressing challenges facing humankind. Advances in satellite systems for earth observation are revolutionizing our ability to monitor and assess environmental changes, manage natural resources and respond to global challenges, including climate change and disaster management. Here we review the potential for satellite Earth Observation and artificial intelligence solutions to accelerate climate action at scale. The satellite industry already has extensive expertise in emergency communication and is a critical element of any comprehensive global emergency warning and messaging infrastructure to support unserved populations in remote and rural regions. We review the literature demonstrating how current technologies and methodologies that have been developed to leverage satellite-based information and the critical role that satellite data plays to support vulnerable populations in Low-and middle-income countries. Whilst previous reviews focus on isolated climate indicators, our systematic review demonstrates how the fusion of remote sensing, AI-driven analytics and geospatial data can provide a more comprehensive, real-time assessment of climate vulnerabilities and adaptive capacities. We situate our review within established global frameworks, such as: the Sustainable Development Goals (SDGs) addressing goals related to climate action (SDG 13) and zero hunger (SDG 2). The Sendai Framework for Disaster Risk Reduction, the Paris Agreement: supporting Nationally Determined Contributions (NDCs) with data-driven strategies and the delivery of the Early Warnings for All initiative which calls for the implementation of early warning systems to protect all global populations by 2027.

One of the dominant common denominators of the Space 4.0 idea in the domain of space technologies are small satellites. The characteristic features of this group of technologies are relatively low costs, the possibility of very rapid hardware prototyping and modularization, the construction of hardware and software libraries for quick reuse, a significant number of manufactured and orbited satellites, incomparably easier ability to test numerous varieties of new technologies, while maintaining high reliability in a relatively short period of their orbital operation. It is small satellites that have become a solid foundation for the rapid development of the Space 4.0 idea. They require a completely different, much simpler ecosystem to maintain and safely, efficiently operate, especially large, highly functional microsatellites constellations throughout their life span between orbit and deorbit. The year 2012 can be considered the beginning of the development of the small satellite industry, a few years before the formal definition of the idea of Space 4.0. Small satellites and the involvement of the private sector in their production and operation were the engines thanks to which the technological and economic components of the Space 4.0 idea were defined. From the perspective and experience of over a decade of development of the small satellite industry, we look into the future and analyse trends also in terms of the situation of the space sector in Poland. A version of this paper in Polish was published in Elektronika Monthly by SEP.

ABSTRACTIn the era of Industry 4.0, the New Space Economy, often called Space 4.0, has taken center stage in the satellite industry. The advent of mega‐constellations, which entails mass satellite production, necessitates state‐of‐the‐art manufacturing methods. Leveraging Industry 4.0 technologies like the Internet of Things (IoT) and Big Data analytics show great potential for improving the manufacturing, assembly, integration, and testing (MAIT) cycle. This paper focuses on how Industry 4.0 principles enhance data analysis and automation in space manufacturing, illustrated through a case study at an aerospace company, with a focus on the composite sandwich panel manufacturing line. We introduce two key contributions. First, an interactive dashboard is proposed to enhance data analytics capabilities, offering real‐time access to insights and key performance indicators (KPIs) for operators and data analysts, and enabling the exploration of customized metrics. This facilitates comprehensive analysis of the entire MAIT process, supporting trend detection, anomaly identification, and areas for improvement to facilitate data‐driven decision‐making. Second, we present two strategies to tackle the challenges posed by the constrained number of attempts to insert installations on sandwich panels. These strategies are founded on a proposed data analytics approach rooted in Markov chain principles. This approach aids operators in making informed decisions on whether to proceed with additional attempts or discard the insert. By calculating the probability of successful insertions in future attempts, our approach can suitably enhance resource usage and production timelines. The proposed approach is evaluated through stress testing, where three processes insert 212,000 sensor records into Kafka queues at varying throughputs, monitored via Metricbeat for system resource usage. Results show low CPU usage (below 20%), consistent network throughput, and stable average data insertion times after initial peaks, demonstrating the architecture's scalability and efficiency.

Abstract The satellite industry is under constant pressure to develop designs that are cheaper, lighter, stronger, and more versatile. However, launching satellites involves complex mechanical load phenomena that puts in risk the integrity of the satellite and its structure. To address these challenges, Multi-Objective Topology Optimisation (MOTO) is employed to optimise satellite designs while considering various physical factors. This study applies the MOTO-SBESO algorithm to find the best distribution of material in a satellite, optimising for multiple load conditions and a broad range of expected frequencies. Given the complexity of these conditions, the optimising process itself can be time-consuming and may lead to sub-optimal designs that could fail during service. Rather than exploring the optimisation process which is itself a matter for another work, this paper focuses on verifying the mechanical properties of the optimised designs using simulation software.

Abstract The proliferation of satellite technology has ushered in an era of opportunity and challenge for the existing international legal framework of space law. International regulatory bodies have looked to existing treaties governing space activities like the Outer Space Treaty, the Liability Convention, and the Registration Convention. In this new era, the challenges that have emerged cannot be enforced by the broad language of the treaties and outdated terms. For example, the deployment of large constellations of smaller satellites poses new challenges, like orbital debris damage and evasive responsibility, which the legal landscape for outer space must address. Space law stresses geopolitical considerations and strategic international legal frameworks that work to reduce the militarization of space and ensure that space is for all. This paper explores current treaties and challenges and proposes legal and policy solutions for the satellite industry’s responsible use of outer space.

The production of multiple types of satellites based on a common manufacturing platform represents a permutation flowshop scheduling problem (PFSP) with complex constraints. This is a highly complex scheduling problem, yet there is still a gap between theoretical research and practical application, particularly in the satellite industry. Therefore, we propose a more practical method that integrates discrete-event simulation modelling and an improved NEH algorithm to solve a more realistic PFSP. The discrete-event simulation-based method includes the following three main components: a flexible PFSP simulation modelling approach, an improved NEH algorithm, and an interaction mechanism between the simulation model and the optimisation algorithm. The proposed method allows automatic and flexible simulation modelling according to the characteristics of the actual satellite manufacturing workshop, which determines the practical nature of the approach proposed in this paper and then achieves excellent scheduling results based on the special interaction mechanism. The computational results demonstrate that this is a 9.18% improvement over the initial NEH algorithm and a 1.40% improvement over the best current improved NEH algorithm.

To replace the field-programmable gate array semiconductors used in the defense satellite industry, we conducted a technical investigation of application-specific integrated circuit (ASIC) semiconductors. The analysis results show that ASIC semiconductors have the heat dissipation, reliability, and radiation resistance capabilities required in a space environment and excellent performance indicators related to the resolution of synthetic aperture radar payloads, such as operating frequency. Research and development of mission-customized ASIC semiconductors that fit the requirements for NSP(new-space paradigm) should be preceded to expanse bases of the space industry, national security capabilities for next-generation space deveolpment also to secure competitiveness of technology and domestic supply chain as space parts itselfs.

We assess the orbit accuracy and time synchronization error using the L1 and C1 observables during the different solar activities. In general, GPS single-frequency (SF) observable can be used for commercial applications in satellite industry. The accuracy of satellite orbit determination using the SF observations is dominated by solar activities. The solar activities are indexed by the F10.7 value. The different solar activities lead to the ionosphere perturbation, triggering off the occurrence probability of ionospheric irregularities. The ionospheric irregularity affects the amplitude and phase of GPS signal. The affected amplitude and phase are indexed by the S4 value. We determine the GRACE satellite orbit using the SF GPS observations and compare the resulting orbit to that derived by dual-frequency observations for the effectiveness. The SF phase data are very sensitive to the variation in electron density and indirectly affects both the orbit accuracy and the time synchronization error. This is most likely caused by the phase ambiguity disturbed by the ionosphere. However, the C1 is relatively free from such a disturbance due to the strong signal-to-noise ratio (SNR) and the phase shift keying technique. The C1 performs the consistent solution over the low and high solar activities. However, this is not the case for the L1. The L1-derived orbit solution during the high solar activities is worse than that during the low solar activities. On the other hand, the time synchronization errors derived by the L1 and C1 are also different. The L1-derived time synchronization error has a relatively large perturbation as compared to the C1-derived one, which shows a consistent solution for a long-term period. This work suggests that the C1 observable is able to produce a consistent the orbit solution and time synchronization for the commercial applications of the satellite industry.Graphical

Particle radiation environment in the heliosphere: Status, limitations, and recommendations

The satellite industry is rapidly growing. There has been a significant increase in the number of new small satellites that are launched, which is complemented by the rapid pace of the development of image recognition algorithms. Convolutional neural networks (CNNs) in particular, have achieved state-of-the-art performance in computer vision related applications. Combining both and running an AI algorithm on-board the satellite to observe and recognize any natural disaster directly from the orbit is an important opportunity. This paper presents notable challenges that are generally involved in an Earth Observation small satellite mission and further challenges that are posed by combining it with AI-based image recognition on-board the satellite. This study discusses an approach that is feasible mainly for a fleet of small satellites.

A Multi-Objective Perspective to Satellite Design and Reliability Optimization

The satellite industry is evolving at a rate not seen in its previous 60 year history. The industry is attracting investment from new players resulting in billions of euros being invested in new space mega constellations. This massive investment in the space ecosystem is driving innovation in flexible payload technologies across LEO, MEO and GEO, supporting commercial governmental and military satellite applications. Airbus Defence and Space has long been a leading player and first to market innovator in the domain of flexible payloads building fully digitally beamformed flexible payloads for GEO mobile applications for Inmarsat and Thuraya, The Eutelsat Quantum fully flexible software defined satellite, and more recently the Onesat product for Inmarsat, Intelsat, Optus and JSAT. Airbus experience in high performance fully flexible payloads spans both the commercial and governmental market places. Indeed Airbus provided huge contributions ranging from full build launch and operating services, to payload subsystem provision for all major European Military SATCOM systems. Airbus experience in flexible payloads is not limited to GEO orbit, Airbus has worked closely with Oneweb and produced and launched to date many hundreds of LEO satellites having highly flexible payloads, leveraging novel new space methodologies and automated final assembly (FAL) techniques. Despite the huge success and achievements to date, innovation at Airbus never stands still. With this in mind Airbus has devoted millions of Euros of research and development funding with backing from ESA, ARTES and national institutions to study and shape the next generation of satellite communications. We have studied LEO MEO and GEO orbits, the projected use cases of each orbit, the required technology roadmaps and means to interconnect these orbits resulting in a system of systems able to leverage the pros of a given orbit, without being constrained by its cons. Within this paper Airbus will discuss our perspective on next generation payload technology supporting all orbits and many end use cases. We will discuss some of the basic physics behind the roadmaps and the key technology challenges and innovations needed to overcome these challenges. The overall scope of innovation can broadly be split into three main categories Airbus believes that these core technologies are applicable in differing scopes across the future of LEO, MEO and GEO systems.

The satellite industry is evolving at a rate not seen in its previous 60 year history. The industry is attracting investment from new players resulting in billions of euros being invested in new space mega constellations. Despite rumours to the contrary, this investment in LEO / MEO systems does not indicate the demise of traditional GEO satellites but is in fact stimulating competition & new technology developments across the whole satellite ecosystem. Traditional GEO satellite operators and manufacturers are now able to capitalize on this growth in the overall industry along with the traditional strengths of the GEO orbit namely reach, broadcasting efficiency and terminal simplicity bringing to market a new generation of GEO flexible software defined satellites. Airbus has always been a leader and innovator in the domain of flexible satellite payload products, and have been designing and building fully flexible digital beam formed active antennas in L band for GEO mobile missions for more than 15 years, using Array Fed Reflector antenna architectures. Based on this heritage and capability Airbus was selected by Eutelsat to design, manufacture, & qualify the Eutelsat Quantum Satellite. Airbus has worked hand in hand with Eutelsat to bring this innovative software defined satellite vision to market and is proud to confirm that the satellite (along with all its supporting operational software) is operating in orbit in full compliance to its requirements and predicted capabilities. The Eutelsat Quantum satellite is the first (to our knowledge) of the new generation of fully flexible Ku band satellites deploying wideband active antennas in transmit and receive frequencies along with flexible channelization and connectivity. This suite of flexible payload technologies provide the satellite with all key aspects of payload flexibility namely coverage, RF power and frequency plan / connectivity. Furthermore, the active antennas also support value added functions such as GEO location, uplink interference management and beam hopping. As such the Eutelsat Quantum Satellite is a trail blazer in being the first to market product in the domain of fully flexible Ku band satellites and is the first to have been launched and successfully tested in orbit. This paper will detail the overall design approach to the Eutelsat Quantum satellite, its game changing overall capabilities, its technical solution and industrial footprint.

Position, Navigation, and Timing (PNT) applications are critical and embedded in all aspects of commercial and defense applications. The existing space-based solution of PNT yields Global Navigation Satellite Systems (GNSS), which provides highly accurate PNT reliably for any global user. A number of countries have implemented GNSS systems: GPS (US), GLONASS (Russia), Galileo (EU), and BeiDou (China). The sole reliance on the GPS system for US defense, unfortunately, creates a vulnerability if GPS were denied. The threat of GPS denial is forcing applications to consider methods of obtaining alternate PNT. The commercial satellite industry, with its emerging communication constellations in LEO, MEO, and GEO, enables new sources of space-based alternate PNT. Some commercial entities are providing alternate PNT as their primary service mission while others are providing communication services with secondary services in alternate PNT. In this paper, we will address and analyze emerging space-based sources of alternate PNT. A number of communication constellation providers have expressed interest in adopting alternate PNT solutions: SpaceLink, Starlink, Iridium, OneWeb, Amazon, and others. We will present a review and assessment of the different emerging alternate PNT solutions, their precision and timing accuracy beyond the existing GPS capability, and their targeted applications.