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.
| Original language | English |
|---|---|
| Title of host publication | GLOBECOM 2025 - 2025 IEEE Global Communications Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 6466-6471 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331577810 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 2025 IEEE Global Communications Conference, GLOBECOM 2025 - Taipei, Taiwan, Province of China Duration: 8 Dec 2025 → 12 Dec 2025 |
Publication series
| Name | Proceedings - IEEE Global Communications Conference, GLOBECOM |
|---|---|
| ISSN (Print) | 2334-0983 |
| ISSN (Electronic) | 2576-6813 |
Conference
| Conference | 2025 IEEE Global Communications Conference, GLOBECOM 2025 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 8/12/25 → 12/12/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- Cislunar communications networks
- maximizing reaching distance
- reconfigurable intelligent surface
ASJC Scopus subject areas
- Signal Processing
- Hardware and Architecture
- Computer Networks and Communications
- Artificial Intelligence
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