25-115 Optimizing Image Streaming Via Dedicated Satellite Constellation Network
il y a 2 semaines
**Mission**: Short Description: This research project aims to design and optimize a dedicated satellite constellation for real-time image streaming from space, focusing on advanced communication architectures and operational strategies. It emphasizes system-level considerations, including the use of optical inter-satellite links (OISL) for enhancing data throughput and minimizing latency. Applications will be considered on a first-come-first-served basis. This fully-funded doctoral project is expected to start in October 2025. Context (Joint PhD by TéSA, CNES, TAS; Co-led supervision): The demand for high-quality, real-time satellite imagery for various industries (e.g., environmental monitoring, agriculture, defense) requires innovative system-level approaches to overcome current satellite communication limitations. Traditional "store and forward" methods pose challenges in latency, data throughput, and operational efficiency. A new approach involving a dedicated satellite constellation for continuous, high-bandwidth image streaming can address these challenges. This research will explore the use of LEO and MEO satellites with optical inter-satellite links (OISL) to enable efficient and low-latency data transmission. Description: The thesis will primarily focus on the system-level design, simulation, and optimization of a satellite constellation dedicated to image streaming. The key areas of investigation include: - Define the optimal number of satellites, orbital characteristics (LEO vs MEO), and configuration (e.g., 2x12 LEO with contrarotating orbital planes or 3x6 MEO). - Analyze trade-offs between LEO and MEO constellations in terms of coverage, latency, and data throughput. - Investigate the integration of optical inter-satellite links (OISL) to enhance data throughput and reduce reliance on onboard storage. - Determine the effectiveness of unidirectional (TMI) vs. bidirectional (TMTC) communication systems for the proposed constellation. - Develop strategies for real-time, continuous connectivity between satellites and ground stations. - Explore advanced routing algorithms for dynamic optimization of data transmission to minimize latency while maximizing throughput. - Compare the system's performance with existing solutions like IRIS2, focusing on technical feasibility, cost-effectiveness, and scalability. - Evaluate the potential environmental impact of deploying a large satellite constellation and propose mitigation strategies. - Develop strategies to optimize the trade-offs between latency and throughput, particularly in LEO and MEO configurations. - Ensure data compression techniques do not compromise image quality while managing storage requirements. - Assess the feasibility and integration challenges of optical inter-satellite links within existing ground-based infrastructures. - Address challenges of maintaining robust communication in a dynamic space environment with intermittent satellite availability. - Explore the practical viability, cost, and complexity of replacing RF technology with OISL systems. - Assess the design's scalability for future demands of higher-resolution images and increased data volumes. Final Objective: Approach: J-18808-Ljbffr
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