• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Communications >Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions
【24h】

Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions

机译：具有LOS / NLOS传输的实用无人空中车辆网络性能分析

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, we provide a performance analysis for practical unmanned aerial vehicle (UAV)- enabled networks. By considering both line-of- sight (LoS) and non-line-of-sight (NLoS) transmissions between aerial base stations (BSs) and ground users, the coverage probability and the area spectral efficiency (ASE) are derived. Considering that there is no consensus on the path loss model for studying UAVs in the literature, in this paper, three path loss models, i.e., high- altitude model, low-altitude model and ultra-low- altitude model, are investigated and compared. Moreover, the lower bound of the network performance is obtained assuming that UAVs are hovering randomly according to homogeneous Poisson point process (HPPP), while the upper bound is derived assuming that UAVs can instantaneously move to the positions directly overhead ground users. From our analytical and simulation results for a practical UAV height of 50 meters, we find that the network performance of the high-altitude model and the low-altitude model exhibit similar trends, while that of the ultra-low-altitude model deviates significantly from the above two models. In addition, the optimal density of UAVs to maximize the coverage probability performance has also been investigated.
机译：在本文中，我们为实现了实用的无人机（UAV）的网络提供了性能分析。通过考虑视线（LOS）和空中基站（BSS）和地板之间的瞄准线（NLOS）传输，导出覆盖概率和面积谱效率（ASE）。考虑到在文献中研究无人机的路径损失模型没有共识，在本文中，研究了三种路径损耗模型，即高海拔模型，低空模型和超低高度模型，并进行了比较。此外，假设UAV是根据均匀的泊松点处理（HPPP）随机悬停的假设获得了网络性能的下限，而是假设UAV可以直接移动到直接开销接地用户的位置移动到上限。从我们的分析和仿真结果从实际的UAV高度为50米，我们发现高空模型的网络性能和低空模型表现出类似的趋势，而超低高度模型的趋势显着偏离以上两种型号。此外，还研究了无人机最大限度地提高覆盖概率性能的最佳密度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号