Journal Article

·2022

UAV-Assisted HetNets: Association Probability With Instantaneous Received Power

Abdullateef Almohamad , Ferkan Yılmaz YTU , Mazen O. Hasna , Khalid Qaraqe

Abstract

As user applications become more diverse and data rate-hungry, networks emerge into heterogeneous and flexible forms. Unmanned aerial vehicles (UAV) play a prominent role in achieving a next level of flexibility thanks to their rapid deployment, low cost and favorable propagation conditions. One of the most important aspects of UAV-assisted heterogeneous networks (HetNets) is the user association strategy. In this regard, we propose an instantaneous-sense association strategy, as opposed to the widely adopted average-sense one. We study the association performance in a two tiers mmWave HetNet, where a terrestrial network is supported by a tier of UAV BSs (UBS). In specific, using tools from stochastic geometry we provide tractable expressions for the association probability with each tier in addition to expression for coverage hole probability taking into account the users’ reception sensitivity. Monte Carlo simulations are provided to validate the accuracy of analytical formulas, and it is shown that the average-sense association strategy is a special case of the proposed method.

Keywords

Computer science Flexibility (engineering) Heterogeneous network Stochastic geometry Coverage probability Software deployment Association (psychology) Monte Carlo method Data association Expression (computer science) Distributed computing Computer network Wireless Telecommunications Wireless network Artificial intelligence Mathematics

Subject Areas

UAV Applications and Optimization ·Aerospace Engineering ·Physical Sciences
Millimeter-Wave Propagation and Modeling ·Electrical and Electronic Engineering ·Physical Sciences
Advanced Wireless Communication Technologies ·Electrical and Electronic Engineering ·Physical Sciences

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