TY - JOUR
T1 - On Performance of Intelligent Reflecting Surface aided Wireless Powered IoT Network with HIs
AU - Kumar, Deepak
AU - Singya, Praveen Kumar
AU - Krejcar, Ondrej
AU - Choi, Kwonhue
AU - Bhatia, Vimal
N1 - KAUST Repository Item: Exported on 2022-12-15
Acknowledgements: This work was supported in part by the COMET TiH IIITB Smart Radio Environment project, and in part by Grant Agency of Excellence, No. 2204/2022, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic. This work was also supported by the NRF grant funded by the Korean government (MSIT) under Grant 2021R1A2C1010370.
PY - 2022/12/12
Y1 - 2022/12/12
N2 - Intelligent reflecting surface (IRS) is envisioned as a key technology for the next-generation wireless communication systems that enhances coverage and performance by reconfiguring the wireless propagation environment. In this letter, the performance of an IRS-aided wireless-powered internet-of-things (IoT) network over Rayleigh fading channels is investigated that consists a power station, an IRS, an access point, and IoT devices. In particular, the impact of transceiver hardware impairments (HIs) is considered. An IoT node selection strategy is adopted that maximizes the harvested energy and improves the system performance. The closed-form expressions of outage probability (OP), ergodic capacity, and symbol error rate are derived by using the Gaussian Chebyshev Quadrature method. Further, the closed-form expressions of the asymptotic OP and asymptotic ergodic capacity are derived and the diversity order of the considered network is obtained. The impact of HIs, overall system ceiling effect, IoT devices, reflecting elements, and various system parameters on the considered network are highlighted. Finally, the Monte-Carlo simulations are performed to verify the derived closed-form expressions.
AB - Intelligent reflecting surface (IRS) is envisioned as a key technology for the next-generation wireless communication systems that enhances coverage and performance by reconfiguring the wireless propagation environment. In this letter, the performance of an IRS-aided wireless-powered internet-of-things (IoT) network over Rayleigh fading channels is investigated that consists a power station, an IRS, an access point, and IoT devices. In particular, the impact of transceiver hardware impairments (HIs) is considered. An IoT node selection strategy is adopted that maximizes the harvested energy and improves the system performance. The closed-form expressions of outage probability (OP), ergodic capacity, and symbol error rate are derived by using the Gaussian Chebyshev Quadrature method. Further, the closed-form expressions of the asymptotic OP and asymptotic ergodic capacity are derived and the diversity order of the considered network is obtained. The impact of HIs, overall system ceiling effect, IoT devices, reflecting elements, and various system parameters on the considered network are highlighted. Finally, the Monte-Carlo simulations are performed to verify the derived closed-form expressions.
UR - http://hdl.handle.net/10754/686428
UR - https://ieeexplore.ieee.org/document/9982632/
U2 - 10.1109/LCOMM.2022.3228907
DO - 10.1109/LCOMM.2022.3228907
M3 - Article
SN - 2373-7891
SP - 1
EP - 1
JO - IEEE Communications Letters
JF - IEEE Communications Letters
ER -