TY - JOUR
T1 - Performance Analysis of Intelligent Reflecting Surface Aided Wireless Networks with Wireless Power Transfer
AU - Bouanani, Faissal El
AU - Muhaidat, Sami
AU - Sofotasios, Paschalis C.
AU - Dobre, Octavia A.
AU - Badarneh, Osamah S.
N1 - Publisher Copyright:
© 1997-2012 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - The low efficiency of wireless power transfer (WPT) poses a key challenge for energy-constrained wireless networks. To address this issue, in this letter, the integration of intelligent reflecting surface (IRS) into a WPT network is investigated. To this end, an accurate approximation for the probability density function of the end-to-end cascaded fading channel is presented. By leveraging the derived result, accurate closed-form expressions of the outage probability (OP) and average symbol error probability (ASER) are derived for the proposed IRS-aided WPT system. To gain further insight into the system performance, asymptotic closed-form expressions for the ASER and OP are further derived and interesting observations are reported. Particularly, our asymptotic analysis reveals that the achievable diversity in the underlying scenario is independent of the reflective elements of the IRS. The analytical derivations, corroborated by simulation results, demonstrate that IRSs can be promising candidates for the realization of a highly efficient power transfer enabled wireless network.
AB - The low efficiency of wireless power transfer (WPT) poses a key challenge for energy-constrained wireless networks. To address this issue, in this letter, the integration of intelligent reflecting surface (IRS) into a WPT network is investigated. To this end, an accurate approximation for the probability density function of the end-to-end cascaded fading channel is presented. By leveraging the derived result, accurate closed-form expressions of the outage probability (OP) and average symbol error probability (ASER) are derived for the proposed IRS-aided WPT system. To gain further insight into the system performance, asymptotic closed-form expressions for the ASER and OP are further derived and interesting observations are reported. Particularly, our asymptotic analysis reveals that the achievable diversity in the underlying scenario is independent of the reflective elements of the IRS. The analytical derivations, corroborated by simulation results, demonstrate that IRSs can be promising candidates for the realization of a highly efficient power transfer enabled wireless network.
KW - Average symbol error rate
KW - intelligent reflecting surface
KW - wireless power transfer
UR - https://www.scopus.com/pages/publications/85102847338
U2 - 10.1109/LCOMM.2020.3036534
DO - 10.1109/LCOMM.2020.3036534
M3 - Article
AN - SCOPUS:85102847338
SN - 1089-7798
VL - 25
SP - 793
EP - 797
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 3
M1 - 9250463
ER -