TY - GEN
T1 - Performance of RIS-empowered NOMA-based D2D Communication under Nakagami-m Fading
AU - Shaikh, Mohd Hamza Naim
AU - Arzykulov, Sultangali
AU - Celik, Abdulkadir
AU - Eltawil, Ahmed
AU - Nauryzbayev, G.
N1 - KAUST Repository Item: Exported on 2023-01-23
Acknowledgements: This work was supported by the Nazarbayev University CRP Grant no. 11022021CRP1513.
PY - 2023/1/18
Y1 - 2023/1/18
N2 - Reconfigurable intelligent surfaces (RISs) have sparked a renewed interest in the research community envisioning future wireless communication networks. In this study, we analyzed the performance of RIS-enabled non-orthogonal multiple access (NOMA) based device-to-device (D2D) wireless communication system, where the RIS is partitioned to serve a pair of D2D users. Specifically, closed-form expressions are derived for the upper and lower limits of spectral efficiency (SE) and energy efficiency (EE). In addition, the performance of the proposed NOMA-based system is also compared with its orthogonal counter-part. Extensive simulation is done to corroborate the analytical findings. The results demonstrate that RIS highly enhances the performance of a NOMA-based D2D network.
AB - Reconfigurable intelligent surfaces (RISs) have sparked a renewed interest in the research community envisioning future wireless communication networks. In this study, we analyzed the performance of RIS-enabled non-orthogonal multiple access (NOMA) based device-to-device (D2D) wireless communication system, where the RIS is partitioned to serve a pair of D2D users. Specifically, closed-form expressions are derived for the upper and lower limits of spectral efficiency (SE) and energy efficiency (EE). In addition, the performance of the proposed NOMA-based system is also compared with its orthogonal counter-part. Extensive simulation is done to corroborate the analytical findings. The results demonstrate that RIS highly enhances the performance of a NOMA-based D2D network.
UR - http://hdl.handle.net/10754/687138
UR - https://ieeexplore.ieee.org/document/10012767/
U2 - 10.1109/vtc2022-fall57202.2022.10012767
DO - 10.1109/vtc2022-fall57202.2022.10012767
M3 - Conference contribution
BT - 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
PB - IEEE
ER -