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With the evolution of space-air-ground integrated networks (SAGIN), the satellite and unmanned aerial vehicle (UAV) synergy in sensing application exhibits significant potential. Moreover, the freshness of status information in sensing application is crucial. And age of Information (AoI) can potently measure the freshness of status information. Accordingly, it is imperative to research the AoI in satellite-UAV synergy real-time sensing systems. Initially, the system model is built up. Subsequently, the system model is converted to a finite-states continuous-time Markov chain. Then, the moment generating functions (MGF) of the AoI is derived by employing the stochastic hybrid system (SHS) approach. Next, the AoI performance under full frequency reuse (FFR) and frequency division multiple access (FDMA) is analyzed and compared in terms of transmit power. The results show that FFR demonstrates better AoI performance than FDMA under limited communication resources.

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AoI Analysis of Satellite-UAV Synergy Remote Sensing System Based on SHS

  • 会议论文

  • 发表日期：

    2025年

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  • Libo Wang,
  • Zhuwei Wang,
  • Xiangyin Zhang,
  • Jinyi Chen,
  • Chao Fang,
  • Kaiyu Qin

摘要

With the evolution of space-air-ground integrated networks (SAGIN), the satellite and unmanned aerial vehicle (UAV) synergy in sensing application exhibits significant potential. Moreover, the freshness of status information in sensing application is crucial. And age of Information (AoI) can potently measure the freshness of status information. Accordingly, it is imperative to research the AoI in satellite-UAV synergy real-time sensing systems. Initially, the system model is built up. Subsequently, the system model is converted to a finite-states continuous-time Markov chain. Then, the moment generating functions (MGF) of the AoI is derived by employing the stochastic hybrid system (SHS) approach. Next, the AoI performance under full frequency reuse (FFR) and frequency division multiple access (FDMA) is analyzed and compared in terms of transmit power. The results show that FFR demonstrates better AoI performance than FDMA under limited communication resources.