On the Downlink SINR Meta Distribution of UAV-assisted Wireless Networks
Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini

TL;DR
This paper analyzes the impact of UAV deployment on wireless network reliability using the SINR meta distribution, revealing that UAVs generally improve reliability but high LoS probability can sometimes decrease it, especially at high SINR thresholds.
Contribution
First application of SINR meta distribution to UAV-assisted networks, deriving moments and approximations to evaluate reliability improvements from UAV deployment.
Findings
UAV deployment significantly enhances network reliability for clustered users.
High LoS probability can reduce system reliability at high SINR thresholds.
UAVs enable highly reliable links in urban high-rise environments.
Abstract
The meta distribution of the signal-to-interference-plus-noise ratio (SINR) provides fine-grained information about each link's performance in a wireless system and the reliability of the whole network. While the UAV-enabled network has been studied extensively, most of the works focus on the spatial average performance, such as coverage probability, while SINR meta distribution has received less attention. In this paper, we use the SINR meta distribution for the first time to systematically analyze the improvement and the influence of deploying UAVs on the reliability of a wireless network. We first derive the -th moments of the conditional success probability of the UAV-enabled network and give the approximated expressions derived by Gil-Pelaez theorem and the beta approximation of the meta distribution. Our numerical results show that deploying UAVs in wireless networks in most…
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Taxonomy
TopicsUAV Applications and Optimization · Advanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling
