Abstract
In this paper, we characterize the unmanned aerial vehicle (UAV) air-to-air (A2A) channel for an 802.11-based low altitude network based on a preliminary measuring result over user datagram protocol (UDP) throughput, latency, received signal strength indicator (RSSI), and pack loss, via various field experiments. Latency and pack loss are strongly related to the stability of flight; while the UDP throughput and RSSI shows a related variation trend in terms of the communication distance and altitude. A modified model based on the classical log-distance path loss (PL) model is introduced to describe propagation path loss, demonstrating the decreasing trend of multi-path effect and shadow fading with an increase in altitude. The simulation work is done to specifically show the characterization of A2A channels based on UAVs in short distance and low altitude environment.
Highlights
In the past years, Unmanned Aerial Vehicle (UAV), commonly known as drone, was originally used for severe conditions which are too dangerous or dirty for human to work
NUMERICAL RESULTS AND DISCUSSION we obtain and analyze the data in two scenarios which consider the influence of altitude and distance separately on UAV-based A2A channel characteristics
Path loss exponent and shadow fading are obtained, and based on which we introduce our analysis and extension of log-distance path loss model
Summary
In the past years, Unmanned Aerial Vehicle (UAV), commonly known as drone, was originally used for severe conditions which are too dangerous or dirty for human to work. This situation is reversing dramatically, that communication based on drones is receiving extensive attention in various fields, such as, for instance, commercial, scientific, agricultural, surveillance, and so on, and the reason is that the quality and accuracy of UAV-based work depends on the performance of UAV-to-UAV links. A. RELATED WORKS Communication based on UAV is regarded as a future choice of mobile infrastructure, with [1] discussing the probability of a network cooperated by UAVs and ground vehicles, and [2] presenting an aerial-ground cooperative vehicular networking architecture. UAV-based communication, including air-to-air (A2A) and air-to-ground (A2G) channel, helps to achieve better efficiency in communication because of the flexibility and short-range line-of-sight (LoS) links [3], with a transmission scheme assisted by UAV mentioned in [4] to reduce the transmitting pressure of small-cell base stations (SBSs)
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