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Underlay Drone Cell for Temporary Events: Impact of Drone Height and Aerial Channel Environments

Xiaohui Zhou, Salman Durrani, Jing Guo, Halim Yanikomeroglu

TL;DR

This paper considers a communication network with an underlay ABS to provide coverage for a temporary event, such as a sporting event or a concert in a stadium, and proposes a general analytical framework to compute the uplink and downlink coverage probabilities for both the aerial and the terrestrial cellular system.

Abstract

Providing seamless connection to a large number of devices is one of the biggest challenges for the Internet of Things (IoT) networks. Using a drone as an aerial base station (ABS) to provide coverage to devices or users on ground is envisaged as a promising solution for IoT networks. In this paper, we consider a communication network with an underlay ABS to provide coverage for a temporary event, such as a sporting event or a concert in a stadium. Using stochastic geometry, we propose a general analytical framework to compute the uplink and downlink coverage probabilities for both the aerial and the terrestrial cellular system. Our framework is valid for any aerial channel model for which the probabilistic functions of line-of-sight (LOS) and non-line-of-sight (NLOS) links are specified. The accuracy of the analytical results is verified by Monte Carlo simulations considering two commonly adopted aerial channel models. Our results show the non-trivial impact of the different aerial channel environments (i.e., suburban, urban, dense urban and high-rise urban) on the uplink and downlink coverage probabilities and provide design guidelines for best ABS deployment height.

Underlay Drone Cell for Temporary Events: Impact of Drone Height and Aerial Channel Environments

TL;DR

This paper considers a communication network with an underlay ABS to provide coverage for a temporary event, such as a sporting event or a concert in a stadium, and proposes a general analytical framework to compute the uplink and downlink coverage probabilities for both the aerial and the terrestrial cellular system.

Abstract

Providing seamless connection to a large number of devices is one of the biggest challenges for the Internet of Things (IoT) networks. Using a drone as an aerial base station (ABS) to provide coverage to devices or users on ground is envisaged as a promising solution for IoT networks. In this paper, we consider a communication network with an underlay ABS to provide coverage for a temporary event, such as a sporting event or a concert in a stadium. Using stochastic geometry, we propose a general analytical framework to compute the uplink and downlink coverage probabilities for both the aerial and the terrestrial cellular system. Our framework is valid for any aerial channel model for which the probabilistic functions of line-of-sight (LOS) and non-line-of-sight (NLOS) links are specified. The accuracy of the analytical results is verified by Monte Carlo simulations considering two commonly adopted aerial channel models. Our results show the non-trivial impact of the different aerial channel environments (i.e., suburban, urban, dense urban and high-rise urban) on the uplink and downlink coverage probabilities and provide design guidelines for best ABS deployment height.

Paper Structure

This paper contains 27 sections, 11 theorems, 51 equations, 10 figures, 6 tables.

Key Result

Lemma 1

The Laplace transform of the interference power distribution at the TBS is given as eq:LIB at the top of this page, where

Figures (10)

  • Figure 1: Illustration of the system model.
  • Figure 2: Illustration of the system model.
  • Figure 3: Uplink coverage probabilities versus height of ABS $h$ with simulations.
  • Figure 4: Downlink coverage probabilities versus height of ABS $h$ with simulations.
  • Figure 5: Uplink coverage probabilities versus height of ABS $h$.
  • ...and 5 more figures

Theorems & Definitions (12)

  • Lemma 1
  • Lemma 2
  • Theorem 1
  • Lemma 3
  • Lemma 4
  • Lemma 5
  • Theorem 2
  • Lemma 6
  • Theorem 3
  • Lemma 7
  • ...and 2 more