TY - GEN
T1 - On the Impact of Transceiver Impairments and Reflecting Elements for RIS-Aided Communications
AU - Khalid, Waqas
AU - Yu, Heejung
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Reconfigurable intelligent surface (RIS) smartly reconfigures the radio-channel characteristics to assist the transmissions, thereby improving both the quality-of-service and radio connectivity. In this paper, RIS is adopted for downlink communication from a base station in a scenario where the direct link is severely blocked by obstacles. A more reasonable large-scale path loss model for RIS-aided communications is included by taking into account the physical characteristics of RIS. Furthermore, residual transceiver hardware impairment (RTHI) is considered to facilitate the practical nature of transceiver equipment. Based on the Rayleigh modeling for small-scale fading and the central limit theorem approximation for reflecting elements, we derive the signal-to-noise distribution and the tractable expression of ergodic achievable rate for the analysis. Finally, numerical results are presented to demonstrate the impact of RIS and transceiver design parameters, including number of reflecting elements, RTHI level, and placement and size of RIS.
AB - Reconfigurable intelligent surface (RIS) smartly reconfigures the radio-channel characteristics to assist the transmissions, thereby improving both the quality-of-service and radio connectivity. In this paper, RIS is adopted for downlink communication from a base station in a scenario where the direct link is severely blocked by obstacles. A more reasonable large-scale path loss model for RIS-aided communications is included by taking into account the physical characteristics of RIS. Furthermore, residual transceiver hardware impairment (RTHI) is considered to facilitate the practical nature of transceiver equipment. Based on the Rayleigh modeling for small-scale fading and the central limit theorem approximation for reflecting elements, we derive the signal-to-noise distribution and the tractable expression of ergodic achievable rate for the analysis. Finally, numerical results are presented to demonstrate the impact of RIS and transceiver design parameters, including number of reflecting elements, RTHI level, and placement and size of RIS.
KW - ergodic achievable rate
KW - path loss
KW - Reconfigurable intelligent surface
KW - transceiver hardware impairment
UR - https://www.scopus.com/pages/publications/85122952083
U2 - 10.1109/ICTC52510.2021.9621070
DO - 10.1109/ICTC52510.2021.9621070
M3 - Conference contribution
AN - SCOPUS:85122952083
T3 - International Conference on ICT Convergence
SP - 899
EP - 901
BT - ICTC 2021 - 12th International Conference on ICT Convergence
PB - IEEE Computer Society
T2 - 12th International Conference on Information and Communication Technology Convergence, ICTC 2021
Y2 - 20 October 2021 through 22 October 2021
ER -