A Geometrodynamic Satellite Network for High-Fidelity Symbiotic Data Streams

Abstract This disclosure details a system and method for a satellite communication network, hereinafter referred to as the 'Constellation', architected for the low-latency, high-integrity transport of complex, multi-modal data streams, including but not limited to neural, physiological, and mixed-reality (MR) data. The invention comprises a physical layer of satellites in Low Earth Orbit (LEO) interconnected via inter-satellite laser links (ISLLs) and a novel geometrodynamic management and control layer. This control layer models the network's holistic operational state as a dynamic, high-dimensional manifold. Data traffic is treated as an information-energy density that induces localized curvature upon this manifold, consistent with the principles of The Movement Framework (TMF). Routing algorithms are thereby transformed from static shortest-path calculations into a search for optimal geodesics on a continuously self-bending state-space. Furthermore, the network employs generative principles derived from Yıldırım's Geometry, specifically the 'Triple Production' axiom, to achieve autonomous self-organization, resource allocation, and topological synthesis in response to dynamic network conditions. The resulting system provides a resilient, adaptive, and data-aware communication substrate uniquely suited for real-time human-computer symbiotic applications.