Performance Characterization of Hardware-Impaired RIS-Aided NOMA Systems
About this Topic:
Reconfigurable intelligent surfaces have emerged as a promising technology for improving the coverage and spectral efficiency of future wireless communication systems. However, most existing studies assume ideal hardware, whereas practical deployments inevitably experience transceiver impairments, phase errors at the intelligent surface, and imperfect successive interference cancellation. These non-idealities can significantly affect the achievable system performance and should therefore be incorporated into performance analysis.
This webinar presents the analytical framework developed in the published IEEE Open Journal of Signal Processing article "A Downlink RIS-Aided NOMA System With Hardware Impairments: Performance Characterization and Analysis." The presentation introduces the considered downlink reconfigurable intelligent surface-assisted non-orthogonal multiple access system model and discusses practical hardware impairment models at the transmitter, intelligent surface, and receivers. Closed-form analytical expressions for outage probability, spectral efficiency, and energy efficiency are then presented and validated through numerical simulations. Finally, the webinar discusses key performance insights obtained from comparisons with orthogonal multiple access, ideal hardware, and full-duplex relaying systems, highlighting the impact of practical hardware limitations on the design of intelligent wireless communication networks.
About the Presenter:
Mohd Hamza Naim Shaikh (M’21) received the B.Tech. and M.Tech. degrees in electronics engineering from Aligarh Muslim University, Aligarh, India, and the Ph.D. degree in ECE from the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India, in 2014, 2016 and 2022 respectively.
He is currently a Research Fellow with the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K. Previously, he was a Research Fellow with University College London, U.K., and a Postdoctoral Research Assistant with Nazarbayev University, Kazakhstan. His research interests include beyond-fifth-generation and sixth-generation wireless communications, reconfigurable intelligent surfaces, integrated sensing and communications, non-orthogonal multiple access, artificial intelligence for wireless networks, and practical hardware-aware communication system design. His work has been published in leading IEEE journals, including the IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, and the IEEE Open Journal of Signal Processing.
Dr. Shaikh received the Best Ph.D. Dissertation Award from IIIT-Delhi in 2023 and the Visvesvaraya Ph.D. Fellowship from the Ministry of Electronics and Information Technology, Government of India. His article in the IEEE Open Journal of Signal Processing was recognized among the journal's Top 25 Downloaded Articles (2024–2025). He serves as a reviewer for several IEEE journals in wireless communications and signal processing.
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