Reconfigurable intelligent surface enabled over-the-air uplink NOMA

E Arslan, F Kilinc, S Arzykulov… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
IEEE Transactions on Green Communications and Networking, 2022ieeexplore.ieee.org
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 …
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.
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