Cognitive Orbital Mesh Beamforming (COMB) for LEO Satellite Networks: A Performance Simulation Framework

ABSTRACT The rapid evolution of 6G non‐terrestrial networks (NTNs) demands innovative solutions to address the challenges of high‐mobility low Earth orbit (LEO) satellite communications, including dynamic channel conditions, Doppler shifts, and adversarial threats. This paper proposes a Quantum‐ Integrated OTFS‐RIS Framework with AI‐Driven Security, tailored for 6G NTNs. The framework combines Orthogonal Time Frequency Space (OTFS) modulation with reconfigurable intelligent surfaces (RIS) to enhance throughput and robustness, leveraging quantum computing for real‐time delay‐Doppler channel prediction and optimization. An AI‐driven decision engine, integrating advanced recurrent neural network‐transformer models and machine learning‐based attack detectors, dynamically adjusts RIS phase shifts and relay trajectories, achieving up to 30% throughput gains and significant bit error rate (BER) reductions compared with conventional schemes. Security is fortified through quantum key distribution (QKD) and AI‐enhanced physical layer security (PLS), mitigating jamming and eavesdropping while maximizing covert rates. Simulation results, validated in a multi‐user massive MIMO LEO environment, demonstrate superior spectral efficiency, energy optimization, and resilience against adversarial interference, positioning this framework as a cornerstone for secure, scalable 6G NTN connectivity.