Unmanned aerial vehicles (UAVs) have gained great interest for rapid
deployment in both civil and military applications. UAV communication has its
own distinctive channel characteristics compared with widely used cellular and
satellite systems. Thus, accurate channel characterization is crucial for the
performance optimization and design of efficient UAV communication systems.
However, several challenges exist in UAV channel modeling. For example,
propagation characteristics of UAV channels are still less explored for spatial
and temporal variations in non\textendash stationary channels. Also, airframe
shadowing has not yet been investigated for small size rotary UAVs. This paper
provides an extensive survey on the measurement campaigns launched for UAV
channel modeling using low altitude platforms and discusses various channel
characterization efforts. We also review the contemporary perspective of UAV
channel modeling approaches and outline some future research challenges in this
domain.

该论文对使用低海拔平台进行的无人机信道建模的测量活动进行了广泛的调查，并讨论了各种信道表征努力的当代视角，并概述了该领域中的一些未来研究挑战。

无人机通信信道建模调查

A Survey of Channel Modeling for UAV Communications

Unmanned aerial vehicle (UAV) communication is anticipated to be widely
applied in the forthcoming fifth-generation (5G) wireless networks, due to its
many advantages such as low cost, high mobility, and on-demand deployment.
However, the broadcast and line-of-sight (LoS) nature of air-to-ground wireless
channels gives rise to a new challenge on how to realize secure UAV
communications with the destined nodes on the ground. This paper aims to tackle
this challenge by applying the physical layer security technique. We consider
both the downlink and uplink UAV communications with a ground node, namely
UAV-to-ground (U2G) and ground-to-UAV (G2U) communications, respectively,
subject to a potential eavesdropper on the ground. In contrast to the existing
literature on wireless physical layer security only with ground nodes at fixed
or quasi-static locations, we exploit the high mobility of the UAV to
proactively establish favorable and degraded channels for the legitimate and
eavesdropping links, respectively, via its trajectory design. We formulate new
problems to maximize the average secrecy rates of the U2G and G2U
transmissions, respectively, by jointly optimizing the UAV's trajectory and the
transmit power of the legitimate transmitter over a given flight period of the
UAV. Although the formulated problems are non-convex, we propose iterative
algorithms to solve them efficiently by applying the block coordinate descent
and successive convex optimization methods. Specifically, the transmit power
and UAV trajectory are each optimized with the other being fixed in an
alternating manner, until the algorithms converge. Simulation results show that
the proposed algorithms can improve the secrecy rates for both U2G and G2U
communications, as compared to other benchmark schemes without power control
and/or trajectory optimization.

本文旨在通过应用物理层安全技术，解决在空中 - 地面无线信道中实现与地面节点的安全无人机通信所面临的新挑战。提出了最大化 U2G 和 G2U 传输平均保密速率的问题，通过优化运动路径和合法发射器的传输功率来解决问题。模拟结果表明，与其他基准方案相比，所提出的算法可以改善 U2G 和 G2U 通信的保密速率。