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With the popularity of wireless mobile devices, wireless cellular networks face the challenge of surging service and communication traffic, especially in emergency situations. Aerial base stations (AeBS) with flexible deployment capabilities stand as a pivotal approach, enhancing network capacity and quality over robust line-of-sight (LoS) links. Depending on various network and business scenarios, there can be significant disparities in the performance of AeBS deployments, with different heights and positions yielding varying capacity enhancement effects for the same target area. In this paper, a simulation platform for AeBS network is designed and developed to meet the requirements of AeBS autonomous deployment management. Through intelligent interactive user interface (UI), the platform provides AeBS management information, deployment location and simulation verification, which supports intelligent deployment and position adjustment in the three-dimensional space of AeBSs to adapt to different network requirements. In addition, the platform supports the selection and configuration of autonomous deployment strategies to help evaluate and optimize the deployment effect of AeBSs.

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Performance Evaluation Platform for Deployment of Multiple Aerial Base Stations

  • 会议论文

  • 发表日期：

    2025年

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  • Peng Gao,
  • Haoyang Bai,
  • Jing Yang,
  • Tiangaо Piao,
  • Junqin Li,
  • Wanyu Guo,
  • Xunchao Li,
  • Jinli Zhang,
  • Fanqin Zhou,
  • Wenjing Li

摘要

With the popularity of wireless mobile devices, wireless cellular networks face the challenge of surging service and communication traffic, especially in emergency situations. Aerial base stations (AeBS) with flexible deployment capabilities stand as a pivotal approach, enhancing network capacity and quality over robust line-of-sight (LoS) links. Depending on various network and business scenarios, there can be significant disparities in the performance of AeBS deployments, with different heights and positions yielding varying capacity enhancement effects for the same target area. In this paper, a simulation platform for AeBS network is designed and developed to meet the requirements of AeBS autonomous deployment management. Through intelligent interactive user interface (UI), the platform provides AeBS management information, deployment location and simulation verification, which supports intelligent deployment and position adjustment in the three-dimensional space of AeBSs to adapt to different network requirements. In addition, the platform supports the selection and configuration of autonomous deployment strategies to help evaluate and optimize the deployment effect of AeBSs.