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An Experimental RIS-Assisted NOMA Network
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DOI：10.1109/LWC.2026.3657895.png)
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Abstract
En 中文
Driven by the emerging capabilities of reconfigurable intelligent surfaces (RIS), this letter presents the implementation and experimental evaluation of an RIS-assisted downlink multi-user non-orthogonal multiple access (NOMA) network. Two RIS configuration strategies are implemented and compared. The first is a partitioning-based approach, primarily adopted in many existing theoretical RIS-NOMA studies but lacking experimental validation, where each user is served by a distinct subset of RIS elements. The second is a proposed weighting-based approach, which leverages power-domain NOMA and successive interference cancellation (SIC) principles to iteratively maximize the weighted sum of the received signal powers, expressed in the dB domain, across all users according to their power allocation coefficients. The performance of both strategies is experimentally evaluated under real-time conditions in terms of bit error rate and further validated through Monte Carlo simulations. The results demonstrate that the proposed weighting-based approach achieves 8-9 dB power improvement and 1-2 dB performance gain over the partitioning-based approach at high signal-to-noise ratios.
Keywords:
RIS
NOMA
weighting-based RIS configuration
RIS partitioning
SDR
BER
Journal
I
IF:
5.5
Papers:
665
Citations:
0