论文标题
LOS继电器的地理意识到的最佳无人机3D位置：几何方法
Geography-aware Optimal UAV 3D Placement for LOS Relaying: A Geometry Approach
论文作者
论文摘要
下一代无线网络的许多新兴技术都喜欢视线线（LOS）传播条件，以完全释放其性能优势。本文研究了3D无人机（UAV）的位置，以建立在茂密的城市环境中深色阴影中两个地面码头的LOS链接。挑战是，由于环境的复杂结构，可行无人机位置的LOS区域可能是任意的。尽管大多数现有作品都依赖于简化的随机LOS模型和问题放松，但本文着重于为最佳的无人机放置建立理论保证，以确保在实际传播环境中为两个地面用户提供LOS条件。发现搜索有界的2D区域以寻找全球最佳3D无人机位置足够了。因此，本文开发了具有线性轨迹长度的探索探索算法，在我们的实验中测试的几个真实城市环境中，全球最优性达到99％以上。为了进一步增强超密集环境中的搜索能力，开发了动态的多阶段算法并从理论上显示以找到$ε$ - 最佳的无人机位置，其搜索长度$ o（1/ε）$。在几个数值实验中证明了无线通信继电器和无线功率传输的显着性能优势。
Many emerging technologies for the next generation wireless network prefer line-of-sight (LOS) propagation conditions to fully release their performance advantages. This paper studies 3D unmanned aerial vehicle (UAV) placement to establish LOS links for two ground terminals in deep shadow in a dense urban environment. The challenge is that the LOS region for the feasible UAV positions can be arbitrary due to the complicated structure of the environment. While most existing works rely on simplified stochastic LOS models and problem relaxations, this paper focuses on establishing theoretical guarantees for the optimal UAV placement to ensure LOS conditions for two ground users in an actual propagation environment. It is found that it suffices to search a bounded 2D area for the globally optimal 3D UAV position. Thus, this paper develops an exploration-exploitation algorithm with a linear trajectory length and achieves above 99% global optimality over several real city environments being tested in our experiments. To further enhance the search capability in an ultra-dense environment, a dynamic multi-stage algorithm is developed and theoretically shown to find an $ε$-optimal UAV position with a search length $O(1/ε)$. Significant performance advantages are demonstrated in several numerical experiments for wireless communication relaying and wireless power transfer.
