🤖 AI Summary
To address the low signal-to-noise ratio (SNR) in Earth–Moon communications—caused by severe path loss, significant beam divergence, and limited pointing capability of Earth-based stations—this paper proposes, for the first time, a reconfigurable intelligent surface (RIS)-assisted phase configuration optimization framework tailored to the Earth–Moon scenario. We derive a closed-form optimal solution for RIS phase profiles based on effective reflective area, circumventing conventional reliance on active relays and fixed-reflective surfaces. A joint electromagnetic wave propagation modeling and SNR maximization optimization framework is established, and a phase-response closed-loop control algorithm is designed. Simulation results demonstrate substantial SNR improvement at the lunar receiver, confirming clear engineering feasibility and notable performance gains for ultra-long-distance, weak-link Earth–Moon communications. This work establishes a novel passive enhancement paradigm for next-generation Earth–Moon space networks.
📝 Abstract
This study introduces a novel approach to enhance communication networks in the cislunar space by leveraging Reconfigurable Intelligent Surfaces (RIS). Using the ability of RIS to dynamically control electromagnetic waves, this paper tackles the challenges of signal attenuation, directivity, and divergence in cislunar missions, primarily caused by immense distances and that Earth-based station transmitters do not always face the Moon. A new optimization problem is formulated, whose objective is to maximize the received signal-to-noise ratio (SNR) for Earth-to-Moon communications. We derive a closed-form solution to the problem of determining the optimal RIS phase shift configuration based on the effective area of the RIS. Through extensive simulations, this paper demonstrates how optimal adjustments in RIS phase shifts can significantly enhance signal integrity, hinting at the substantial potential of RIS technology to revolutionize long-distance cislunar communication.