@ARTICLE{10.3389/frcmn.2024.1337697,
  
AUTHOR={Armeniakos, Harris K.  and Maliatsos, Konstantinos  and Bithas, Petros S.  and Kanatas, Athanasios G. },
         
TITLE={A stochastic geometry-based performance analysis of a UAV corridor-assisted IoT network},
        
JOURNAL={Frontiers in Communications and Networks},
        
VOLUME={Volume 5 - 2024},

YEAR={2024},

URL={https://www.frontiersin.org/journals/communications-and-networks/articles/10.3389/frcmn.2024.1337697},

DOI={10.3389/frcmn.2024.1337697},

ISSN={2673-530X},

ABSTRACT={<p>The exploitation of unmanned aerial vehicles (UAVs) in enhancing network performance in the context of beyond-fifth-generation (5G) communications has shown a variety of benefits compared to terrestrial counterparts. In addition, they have been largely conceived to play a central role in data dissemination to Internet of Things (IoT) devices. In the proposed work, a novel stochastic geometry unified framework is proposed to study the downlink performance in a UAV-assisted IoT network that integrates both UAV-base stations (UAV-BSs) and terrestrial IoT receiving devices. The framework builds upon the concept of the aerial UAV corridor, which is modeled as a finite line above the IoT network, and the one-dimensional (1D) binomial point process (BPP) is employed for modeling the spatial locations of the UAV-BSs in the aerial corridor. Subsequently, a comprehensive SNR-based performance analysis in terms of coverage probability, average rate, and energy efficiency is conducted under three association strategies, namely, the <italic>n</italic>th nearest-selection scheme, the random selection scheme, and the joint transmission coordinated multi-point (JT-CoMP) scheme. The numerical results reveal valuable system-level insights and trade-offs and provide a firm foundation for the design of UAV-assisted IoT networks.</p>}}