hardware impairments; Internet of Things (IoT) devices (IoDs); outage probability; Sensor networks; unmanned aerial vehicle (UAV) relaying; wireless power transfer (WPT); Aerial vehicle; Fadings channels; Hardware; Hardware impairment; IoT device; Outage probability; Performance; Power transfers; Unmanned aerial vehicle relaying; Wirless power transfer; Instrumentation; Electrical and Electronic Engineering
Abstract :
[en] This letter investigates the performance of an unmanned aerial vehicle (UAV)-enabled communication network for energy-constrained Internet of Things devices (IoDs) in the presence of transceiver hardware impairments. Herein, a UAV operates as a radio frequency energy harvesting transmitter for several IoDs and employs the decode-and-forward protocol to relay the gathered information from the IoDs to the base station. We employ a first-order autoregressive method for modeling the relative mobility between the nodes. The log-normal distribution is used to characterize the shadowing components for modeling the composite fading channel. We leverage the Gauss-Hermite quadrature method to obtain accurate expressions for the outage probability, followed by system throughput and energy efficiency.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Pandey, Gaurav K. ; National Institute of Technology Silchar, Department of Electronics and Communication Engineering, Silchar, India
Gurjar, Devendra S. ; National Institute of Technology Silchar, Department of Electronics and Communication Engineering, Silchar, India
Yadav, Suneel ; Indian Institute of Information Technology Allahabad, Department of Electronics and Communication Engineering, Prayagraj, India
SOLANKI, Sourabh ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
External co-authors :
yes
Language :
English
Title :
UAV-Empowered IoT Network With Hardware Impairments and Shadowing
Publication date :
08 June 2023
Journal title :
IEEE Sensors Letters
eISSN :
2475-1472
Publisher :
Institute of Electrical and Electronics Engineers Inc.
S. Chen, Y.-C. Liang, S. Sun, S. Kang, W. Cheng, and M. Peng, "Vision, requirements, and technology trend of 6G: Howto tackle the challenges of system coverage, capacity, user data-rate and movement speed," IEEE Wireless Commun., vol. 27, no. 2, pp. 218-228, Apr. 2020.
S. Kumar, O. Kaiwartya, M. Rathee, N. Kumar, and J. Lloret, "Toward energyoriented optimization for green communication in sensor enabled IoT environments," IEEE Syst. J., vol. 14, no. 4, pp. 4663-4673, Dec. 2020.
Y. Zeng, Q. Wu, and R. Zhang, "Accessing from the sky: A tutorial on UAV communications for 5G and beyond," Proc. IEEE, vol. 107, no. 12, pp. 2327-2375, Dec. 2019.
X. Li, Y. Zheng, M. Zeng, Y. Liu, and O. A. Dobre, "Enhancing secrecy performance for STAR-RIS NOMA networks," IEEE Trans. Veh. Technol., vol. 72, no. 2, pp. 2684-2688, Feb. 2023.
G. K. Pandey, D. S. Gurjar, H. H. Nguyen, and S. Yadav, "Security threats and mitigation techniques in UAV communications: A comprehensive survey," IEEE Access, vol. 10, pp. 112858-112897, 2022.
Y. Li et al., "Data collection maximization in IoT-sensor networks via an energyconstrained UAV," IEEE Trans. Mobile Comput., vol. 22, no. 1, pp. 159-174, Jan. 2023.
L. Yang and M.-S. Alouini, "Performance analysis of multiuser selection diversity," IEEE Trans. Veh. Technol., vol. 55, no. 6, pp. 1848-1861, Nov. 2006.
A. Prathima, D. S. Gurjar, Y. Jiang, and S. Yadav, "Wireless powered cognitive radio networks with multiple antenna sources and hardware impairments," Phys. Commun., vol. 55, 2022, Art. no. 101859.
Indu, R. P. Singh, H. R. Choudhary, and A. K. Dubey, "Trajectory design for UAV-to-ground communication with energy optimization using genetic algorithm for agriculture application," IEEE Sensors J., vol. 21, no. 16, pp. 17548-17555, Aug. 2021.
A. Al-Hourani, S. Kandeepan, and S. Lardner, "Optimal LAP altitude for maximum coverage," IEEE Wireless Commun. Lett., vol. 3, no. 6, pp. 569-572, Dec. 2014.
I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 7th ed. Amsterdam, The Netherlands: Elsevier, 2007.
A. Pandey and S. Yadav, "Joint impact of nodes mobility and imperfect channel estimates on the secrecy performance of cognitive radio vehicular networks over Nakagami-m fading channels," IEEE Open J. Veh. Technol., vol. 2, pp. 289-309, 2021.
A. Prathima, D. S. Gurjar, S. Yadav, D. Krstic, N. Milosevic, and J. Jokovic, "UAV-assisted wireless information and power transfer for self-sustained IoT communications," IEEE Sensors J., vol. 22, no. 24, pp. 24593-24606, Dec. 2022.
A. S. Ibrahim, A. K. Sadek, W. Su, and K. R. Liu, "Cooperative communications with relay-selection: When to cooperate and whom to cooperate with?," IEEE Trans. Wireless Commun., vol. 7, no. 7, pp. 2814-2827, Jul. 2008.
X. Li et al., "UAV-enabled multi-pair massive MIMO-NOMA relay systems with low-resolution ADCs/DACs," 2023, doi: 10.36227/techrxiv.21810657.v1.
M. Abramowitz and I. Stegun, Handbook of Mathematical Functions,WithFormulas, Graphs, and Mathematical Tables, New York, NY, USA: Dover, 1970.
