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    UAV-Aided Post-Disaster Cellular Networks: A Novel Stochastic Geometry Approach

    Matracia, Maurilio and Kishk, Mustafa A. and Alouini, Mohamed-Slim (2023) UAV-Aided Post-Disaster Cellular Networks: A Novel Stochastic Geometry Approach. IEEE Transactions on Vehicular Technology, 72 (7). pp. 9406-9418. ISSN 0018-9545

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    Motivated by the need for ubiquitous and reliable communications in post-disaster emergency management systems (EMSs), we hereby present a novel and efficient stochastic geometry (SG) framework. This mathematical model is specifically designed to evaluate the quality of service (QoS) experienced by a typical ground user equipment (UE) residing either inside or outside a generic area affected by a calamity. In particular, we model the functioning terrestrial base stations (TBSs) as an inhomogeneous Poisson point process (IPPP), and assume that a given number of uniformly distributed unmanned aerial vehicles (UAVs) equipped with cellular transceivers is deployed in order to compensate for the damage suffered by some of the existing TBSs. The downlink (DL) coverage probability is then derived based on the maximum average received power association policy and the assumption of Nakagamim fading conditions for all wireless links. The proposed numerical results show insightful trends in terms of coverage probability, depending on: distance of the UE from the disaster epicenter, disaster radius, quality of resilience (QoR) of the terrestrial network, and fleet of deployed ad-hoc aerial base stations (ABSs). The aim of this paper is therefore to prove the effectiveness of vertical heterogeneous networks (VHetNets) in emergency scenarios, which can both stimulate the involved authorities for their implementation and inspire researchers to further investigate related problems.

    Item Type: Article
    Keywords: Coverage analysis; stochastic geometry; binomial point process; UAVs; quality of resilience; post-disaster communications;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 18622
    Identification Number:
    Depositing User: Mustafa Kishk
    Date Deposited: 07 Jun 2024 14:14
    Journal or Publication Title: IEEE Transactions on Vehicular Technology
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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