Evaluation of Full-Duplex SWIPT Cooperative NOMA-Based IoT Relay Networks over Nakagami- m Fading Channels

In this paper, we investigate the performance of non-orthogonal multiple access (NOMA)-based full-duplex Internet-of-Things (IoT) relay systems with simultaneous wireless information and power transfer (SWIPT) over Nakagami- fading channels to improve the performance of a cell-edge user under perfec...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-03, Vol.22 (5), p.1974
Main Authors: Nguyen, Tien-Tung, Nguyen, Sang Quang, Nguyen, Phu X, Kim, Yong-Hwa
Format: Article
Language:English
Subjects:
Algorithms
Channels
Energy consumption
ergodic capacity
Fading
Humans
Internet of Things
maximum ratio transmission
Monte Carlo Method
NOMA
Nonorthogonal multiple access
outage probability
Probability
Relay networks
Relay systems
Signal to noise ratio
Wireless networks
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Summary:In this paper, we investigate the performance of non-orthogonal multiple access (NOMA)-based full-duplex Internet-of-Things (IoT) relay systems with simultaneous wireless information and power transfer (SWIPT) over Nakagami- fading channels to improve the performance of a cell-edge user under perfect and imperfect successive interference cancellation (SIC). Two scenarios, i.e., direct and non-direct links, between the source node and cell-edge user are examined. The exact closed-form analytical and approximate expressions for the outage probability, system throughput, energy efficiency, and ergodic capacities are derived and validated via Monte Carlo simulations to characterize the proposed system performance. To further improve the system performance, we also provide a low-complexity algorithm to maximize the system throughput over-optimizing the time-switching factor. The results show that our proposed NOMA system can achieve superior performance compared to its orthogonal multiple access (OMA) counterpart under perfect SIC and with a low-to-medium signal-to-noise ratio under imperfect SIC, according to the level of residual self-interference and the quality of links.
ISSN:1424-8220
1424-8220
DOI:10.3390/s22051974