The rapid expansion of digital technologies and the Internet of Things has lead to exponential growth in global data traffic, exposing the limitations of terrestrial communication networks by addressing growing demands for high-speed, low-latency connectivity, especially in remote areas. Low Earth orbit satellite constellations have emerged as a promising solution, offering reduced latency and global coverage compared to traditional geostationary systems. This paper addresses key questions related to the design and implementation of a scalable space-based communication infrastructure. A predictive demand model is developed to evaluate future requirements for global coverage and connectivity. Based on these requirements, an architecture model simulates a tradespace of potential configurations, which are analyzed to maximize coverage while minimizing costs, considering technical and launch constraints. Results indicate that an X-band constellation at 600 km orbital altitude and 90° inclination offers the best coverage-to-cost ratio. However, the high number of satellites required necessitates increased launch capacities to fully meet future demand. Additionally, combining various orbital configurations and employing advanced data handling techniques could enhance data rates per satellite and reduce technical challenges.
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The rapid expansion of digital technologies and the Internet of Things has lead to exponential growth in global data traffic, exposing the limitations of terrestrial communication networks by addressing growing demands for high-speed, low-latency connectivity, especially in remote areas. Low Earth orbit satellite constellations have emerged as a promising solution, offering reduced latency and global coverage compared to traditional geostationary systems. This paper addresses key questions relat...
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