RIS - Assisted LEO Satellite Framework for Secure Quantum Sensor Data Transmission in Planetary

Authors:
Aarju Shaw, K. Kavitha Devi

Addresses:
Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India.

Abstract:

Gravimetry is a key tool to study changes in gravity, which provides us with fundamental information on the Earth’s interior as well as the interiors of other planets. Although conventional gravimeters tend to be quite accurate, they also suffer from drift, mechanical constraints, and inadequacies under harsh conditions. Happily, advances in quantum technologies have enabled new classes of sensors based on NV centres, defects in the diamond crystal structure. These new sensors have improved sensitivity, are more streamlined, and are more durable. There’s one catch, though: When it comes to transmitting ultra-weak data to Earth from distant or planetary sites, securely passing this information represents a significant challenge. This paper proposes a Reconfigurable Intelligent Surface (RIS)-aided Low Earth Orbit (LEO) satellite communication system for secure transmission of quantum gravimetry data. RIS is essential for enhancing signal strength, minimising Doppler shifts, and improving overall link reliability. Certified Quantum Encryption (QE) also provides end-to-end data security, even against quantum-enabled adversaries. The paper also provides a mathematical evaluation of RIS-assisted channel gain, Doppler compensation, and secure key generation. The results of the planned simulations will be validated, accounting for SNR, Bit Error Rate (BER), and secure key rate in realistic LEO operational environments. 

Keywords: Quantum Sensing; Secure Communication; Low Earth Orbit (LEO) Satellites; Reconfigurable Intelligent Surface (RIS); Communication System; Quantum Key Distribution (QKD).

Received on: 27/10/2024, Revised on: 04/01/2025, Accepted on: 30/01/2025, Published on: 05/09/2025

DOI: 10.69888/FTSIN.2025.000534

FMDB Transactions on Sustainable Intelligent Networks, 2025 Vol. 2 No. 3, Pages: 111-128

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