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Active RIS-Enabled NLoS LEO Satellite Communications: A Three-Timescale Optimization Framework
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DOI：10.1109/LCOMM.2025.3639617.png)
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Abstract
En 中文
In this letter, we study an active reconfigurable intelligent surfaces (aRIS) assisted low earth orbit (LEO) satellite communications under non-line-of-sight (NLoS) scenarios, where the aRIS is deployed to create visual line-of-sight links for reliable communication. To address the challenges of high energy consumption caused by frequent beamforming updates in aRIS, we propose a three-timescale optimization framework that jointly designs the transmit beamforming, RIS beamforming, and RIS orientation vectors based on their characteristics. The goal is to maximize the system achievable rate while reducing energy consumption by controlling the aRIS beamforming switching frequency. Then, a two-layer solution framework is developed, incorporating fractional programming, alternating optimization, successive convex approximation, and penalty function methods, to obtain the high-quality solution. Simulation results demonstrate that the proposed scheme can effectively improve system performance and reduce the energy consumption of the aRIS.
Keywords:
Satellites
Array signal processing
Reconfigurable intelligent surfaces
Optimization
Low earth orbit satellites
Vectors
Satellite communications
Energy consumption
System performance
Satellite antennas
LEO satellite communications
active RIS
three-timescale optimization
Journal
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