Reconfigurable Intelligent Surface Enabled Over-the-Air Uplink NOMA
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ArticleAuthors
Arslan, Emre
Kilinc, Fatih

Arzykulov, Sultangali

Dogukan, Ali Tugberk

Celik, Abdulkadir

Basar, Ertugrul

Eltawil, Ahmed

KAUST Department
Computer, Electrical and Mathematical Science and Engineering (CEMSE) DivisionElectrical and Computer Engineering Program
Date
2022-12-08Permanent link to this record
http://hdl.handle.net/10754/686361
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Innovative reconfigurable intelligent surface (RIS) technologies are rising and recognized as promising candidates to enhance 6G and beyond wireless communication systems. RISs acquire the ability to manipulate electromagnetic signals, thus, offering a degree of control over the wireless channel and the potential for many more benefits. Furthermore, active RIS designs have recently been introduced to combat the critical double fading problem and other impairments passive RIS designs may possess. In this paper, the potential and flexibility of active RIS technology are exploited for uplink systems to achieve virtual non-orthogonal multiple access (NOMA) through power disparity over-the-air rather than controlling transmit powers at the user side. Specifically, users with identical transmit power, path loss, and distance can communicate with a base station sharing time and frequency resources in a NOMA fashion with the aid of the proposed hybrid RIS system. Here, the RIS is partitioned into active and passive parts and the distinctive partitions serve different users aligning their phases accordingly while introducing a power difference to the users’ signals to enable NOMA. First, the end-to-end system model is presented considering two users. Furthermore, outage probability calculations and theoretical error probability analysis are discussed and reinforced with computer simulation results.Citation
Arslan, E., Kilinc, F., Arzykulov, S., Dogukan, A. T., Celik, A., Basar, E., & Eltawil, A. M. (2022). Reconfigurable Intelligent Surface Enabled Over-the-Air Uplink NOMA. IEEE Transactions on Green Communications and Networking, 1–1. https://doi.org/10.1109/tgcn.2022.3227870Sponsors
This work was partially funded by King Abdullah University of Science and Technology (KAUST) as well as Scientific and Technological Research Council of Turkey (TUB¨ ˙ITAK) under Grant 120E401.Publisher
IEEEAdditional Links
https://ieeexplore.ieee.org/document/9976051/https://ieeexplore.ieee.org/document/9976051/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9976051
ae974a485f413a2113503eed53cd6c53
10.1109/TGCN.2022.3227870