Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks

Madi Makin, Sultangali Arzykulov, Khaled M. Rabie, Galymzhan Nauryzbayev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Low latency, high-data rates, and massive connectivity are the requirements for the emerging wireless technologies that will give a chance to high-demanding and progressive innovations in many spheres. Reconfigurable intelligent surfaces (RISs) are considered to be a promising technology for the rising wireless communication standards. This paper studies the large intelligent surface (LIS) enabled wireless network deploying non-orthogonal multiple access (NOMA) over Nakagami-m channels with non-fixed LIS positions. We propose the LIS partitioning method, where various LIS elements serve different NOMA users depending on their quality of service. Moreover, we also examine the effect of imperfect successive interference cancellation, the number of LIS elements, and their allocation amongst the users. The simulations and followed-up discussions are provided regarding the system’s ergodic capacity measurements.
Original languageEnglish (US)
Title of host publication2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
StatePublished - Oct 6 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-10-11
Acknowledgements: This work was supported by the Nazarbayev University Faculty Development Competitive Research Grants Program under Grant no. 240919FD3935 (PI: G. Nauryzbayev).


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