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Joint Design of Beam Hopping and Precoding for RSMA-Enabled LEO Satellite Internet of Things

  • Xi Han
  • , Shibing Zhu
  • , Yijie Mao
  • , Huanxi Cui
  • , Rongke Liu
  • , Jianmei Dai*
  • *此作品的通讯作者
  • Space Engineering University
  • ShanghaiTech University
  • Tsinghua University
  • Beijing University of Posts and Telecommunications

科研成果: 期刊稿件文章同行评审

摘要

Low-earth orbit (LEO) satellite Internet of Things (IoT) has emerged as a promising solution to address the limitations of terrestrial IoT by providing global coverage and seamless connectivity. Among the various techniques enhancing LEO satellite IoT, beam hopping (BH) stands out as an efficient approach that dynamically adjusts beam illumination to match the varying traffic demands of diverse IoT devices. This flexibility enables optimal utilization of limited on-board resources. However, while BH allows adaptive beam illumination planning, it can also introduce severe interbeam interference, particularly when adjacent beams are simultaneously activated. To address this challenge, we propose a novel rate-splitting multiple access (RSMA)-enabled cluster-based BH (CBH) LEO satellite IoT system. By leveraging RSMA, the proposed framework supports large-scale IoT devices access, and mitigates interbeam interference introduced by CBH. Within this framework, we introduce a metric-the ratio of offered capacity to traffic demand (ROCD)–to quantify how well the required traffic sum rate aligns with the achievable sum rate for each beam. We then focus on jointly optimizing the precoding vector, common rate allocation, and CBH pattern design to maximize the worst-case ROCD among beams. To solve this problem efficiently, we decompose the original problem into three subproblems and propose a two-stage algorithm. Numerical results demonstrate that our proposed scheme improves the minimum satisfaction rate by 14.10% and 39.59% compared to the nonorthogonal multiple access and space-division multiple access baselines, achieving effective interference mitigation.

源语言英语
页(从-至)35861-35874
页数14
期刊IEEE Internet of Things Journal
12
17
DOI
出版状态已出版 - 2025

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