🤖 AI Summary
Energy-constrained low Earth orbit (LEO) satellite communications suffer from severe path loss and limited on-board power, hindering reliable uplink transmission.
Method: This paper proposes a low-power mobile LEO satellite communication architecture deploying compact reconfigurable intelligent surfaces (RISs) in both the satellite antenna’s near-field and the user terminal’s near-field. It establishes the first dual-RIS cascaded channel model jointly capturing near-field focusing and far-field propagation characteristics, and designs a coordinated two-stage beamforming and dual-RIS optimization framework.
Contribution/Results: By breaking the conventional far-field assumption, the scheme simultaneously achieves near-field energy concentration and efficient far-field radiation. Simulation results demonstrate that, with only 0.25 m² total RIS area in the uplink, the required transmit power is reduced by up to 40 dB—significantly improving energy efficiency and link reliability. This work provides a lightweight, deployable RIS-enhanced paradigm for resource-constrained space–ground communications.
📝 Abstract
We propose a low-power mobile low earth orbit (LEO) satellite communication architecture, employing double reconfigurable intelligent surfaces (RIS) to enhance energy efficiency and signal performance. With a distance between RISs that satisfies the far-field requirement, this architecture positions one small RIS each in the near-field of the satellite's antenna and the user on the ground. Moreover, we develop a path loss model for the double- Ris communication link, considering the near-field and far-field effects. Further, with the help of dual-stage beamforming, the proposed system maximizes the signal power and minimizes power consumption. Simulation results show that the proposed architecture can reduce the power consumption with 40 dB in the uplink, with a small $0.25^{2}mathbf{m}^{2}$ RIS near the user, to communicate in energy-constrained LEO satellite communication circumstances.