On the Downlink SINR Meta Distribution of UAV-assisted Wireless Networks

Yujie Qin, Mustafa A. Kishk, Mohamed Slim Alouini

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


The meta distribution of the signal-to-interference-plus-noise ratio (SINR) provides fine-grained information about each link&#x2019;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 to systematically analyze the improvement and the influence of deploying UAVs on the reliability of a wireless network. We first derive the <italic>b</italic>-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 cases can greatly improve the system reliability, which denotes the fraction of users achieving cellular coverage, especially for the spatially-clustered users. In addition, establishing LoS links is not always beneficial since it also increases the interference. For instance, with the increase of the SINR threshold, the system reliability of a high LoS probability environment decreases dramatically and it is even lower than a low LoS probability environment. We also show that in highrise urban areas, UAVs can help in establishing extremely reliable (very high SINR) links.

Original languageEnglish (US)
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Communications
Issue number11
StateAccepted/In press - 2023


  • Autonomous aerial vehicles
  • Cellular networks
  • Downlink
  • Interference
  • Matérn cluster process
  • Poisson point process
  • reliability
  • Reliability
  • Signal to noise ratio
  • SINR meta distribution
  • stochastic geometry
  • Stochastic processes
  • UAVs

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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