Stacked Intelligent Metasurface Enabled LEO Satellite Communications Relying on Statistical CSI

Shining Lin, Jiancheng An, Lu Gan, Merouane Debbah, Chau Yuen

    Research output: Contribution to journalArticlepeer-review

    7 Scopus citations

    Abstract

    Low earth orbit (LEO) satellite communication systems have gained increasing attention as a crucial supplement to terrestrial wireless networks due to their extensive coverage area. This letter presents a novel system design for LEO satellite systems by leveraging stacked intelligent metasurface (SIM) technology. Specifically, the lightweight and energy-efficient SIM is mounted on a satellite to achieve multiuser beamforming directly in the electromagnetic wave domain, which substantially reduces the processing delay and computational load of the satellite compared to the traditional digital beamforming scheme. To overcome the challenges of obtaining instantaneous channel state information (CSI) at the transmitter and maximize the system's performance, a joint power allocation and SIM phase shift optimization problem for maximizing the ergodic sum rate is formulated based on statistical CSI, and an alternating optimization (AO) algorithm is customized to solve it efficiently. Additionally, a user grouping method based on channel correlation and an antenna selection algorithm are proposed to further improve the system performance. Simulation results demonstrate the effectiveness of the proposed SIM-based LEO satellite system design and statistical CSI-based AO algorithm.

    Original languageBritish English
    Pages (from-to)1295-1299
    Number of pages5
    JournalIEEE Wireless Communications Letters
    Volume13
    Issue number5
    DOIs
    StatePublished - 1 May 2024

    Keywords

    • antenna selection
    • LEO satellite
    • Stacked intelligent metasurface (SIM)
    • statistical CSI
    • user grouping

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