Performance of Downlink NOMA for a Massive IoT Network Over a Nakagami-<i>m</i> Fading Channel With Optimized Power Allocation

Sirait, Rummi; Hardjawana, Wibowo; Wibisono, Gunawan

doi:10.1109/access.2023.3288898

Cited by 5 publications

(1 citation statement)

References 32 publications

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“…NOMA enables several users to use the same time and frequency block with varying transmit power allocations [13,14]. Furthermore, it employs superposition coding (SC) on the transmitter to accommodate signals from numerous users, and successive interference cancellation (SIC) at the receiver to separate and decrease interference [15,16]. NOMA technology is critical for future network capacity expansion.…”

Section: Introductionmentioning

confidence: 99%

Performance Prediction of Power Beacon-Aided Wireless Sensor-Powered Non-Orthogonal Multiple-Access Internet-of-Things Networks under Imperfect Channel State Information

Nguyen,

Le,

Nguyen

et al. 2024

Applied Sciences

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In this paper, we investigate a novel power beacon (PB)-aided wireless sensor-powered non-orthogonal multiple-access (NOMA) Internet-of-Things (IoT) network under imperfect channel state information (CSI). Furthermore, the exact expression outage probability (OP) of two IoT users is derived to analyze the performance of the considered network. To give further insight, the expression asymptotic OP and diversity order are also expressed when the transmit power at the PB goes to infinity. Furthermore, a deep neural network (DNN) framework is proposed to concurrently forecast IoT users’ OP in relation to real-time setups for IoT users. Additionally, when compared to the traditional analysis, our created DNN shows the shortest run-time prediction, and the outcomes predicted by the DNN model almost match those of the simulation. In addition, numerical results validate our analysis, simulation, and prediction through a Monte Carlo Simulation. Furthermore, the results show the impact of the main parameter on our proposed system. Finally, these findings show that NOMA performs better than the conventional orthogonal multiple-access (OMA) techniques.

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