A Next-Generation Framework for Ultra-Long-Distance Communications Using Reverse-Launch Signal Reinforcement (RLSR)

Abstract

Ginnela Someswara Sai Ram Prasad

This paper proposes a next-generation framework for ultra-long-distance communication (NG-ULDC) capable of maintaining signal integrity across terrestrial, atmospheric, and interstellar environments without relying on conventional repeaters. The proposed Reverse-Launch Signal Reinforcement (RLSR) mechanism introduces a dual- directional transmission approach that enables resonance-based signal amplification, adaptive filtering, and AI-driven signal discrimination to mitigate critical challenges such as noise, attenuation, and multi-signal interference. A key contribution of this work is the development of a self-sustaining and intelligent signal model that selectively amplifies desired signals while suppressing unknown or background transmissions. This model extends beyond classical Fourier- domain analysis by integrating predictive recovery algorithms and resonance-coupled energy reinforcement, allowing reliable extraction of information even in saturated or high-interference environments. Comprehensive simulation studies conducted in a virtual research environment demonstrate the robustness of the proposed system across varying distances—from short terrestrial links to deep-space communication scenarios extending up to theoretical interstellar scales. The results confirm significant improvements in spectral purity, signal-to-noise ratio (SNR), and multi-signal separation capability. The framework establishes a scalable foundation for future deep-space missions, interplanetary networks, and next-generation terrestrial communication systems, providing a unified, sustainable, and intelligent model for ultra-long-distance connectivity.

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