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Article

Outage Performance Analysis and SWIPT Optimization in Energy-Harvesting Wireless Sensor Network Deploying NOMA

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VSB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic
2
Institute of Artificial Intelligence, Faculty of Information Technology, Binh Duong University, Thu Dau Mot City, Vietnam
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Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
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Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
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Center for Information Technology, Ho Chi Minh City University of Food Industry, Ho Chi Minh City, Vietnam
*
Author to whom correspondence should be addressed.
This paper is an extended version of paper published in Nguyen, H.-S.; Nguyen, T.-S.; Tin, P.T.; Voznak, M. Outage performance of time-switching energy-harvesting wireless sensor networks deploying NOMA. In Proceedings of the 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), Ostrava, Czech Republic, 17–20 September 2018.
Sensors 2019, 19(3), 613; https://doi.org/10.3390/s19030613
Received: 17 December 2018 / Revised: 16 January 2019 / Accepted: 28 January 2019 / Published: 1 February 2019
Thanks to the benefits of non-orthogonal multiple access (NOMA) in wireless communications, we evaluate a wireless sensor network deploying NOMA (WSN-NOMA), where the destination can receive two data symbols in a whole transmission process with two time slots. In this work, two relaying protocols, so-called time-switching-based relaying WSN-NOMA (TSR WSN-NOMA) and power-splitting-based relaying WSN-NOMA (PSR WSN-NOMA) are deployed to study energy-harvesting (EH). Regarding the system performance analysis, we obtain the closed-form expressions for the exact and approximate outage probability (OP) in both protocols, and the delay-limited throughput is also evaluated. We then compare the two protocols theoretically, and two optimization problems are formulated to reduce the impact of OP and optimize the data rate. Our numerical and simulation results are provided to prove the theoretical and analytical analysis. Thanks to these results, a great performance gain can be achieved for both TSR WSN-NOMA and PSR WSN-NOMA if optimal values of TS and PS ratios are found. In addition, the optimized TSR WSN-NOMA outperforms that of PSR WSN-NOMA in terms of OP. View Full-Text
Keywords: wireless sensor network; energy-harvesting; NOMA; time-switching; power-splitting; outage probability; throughput wireless sensor network; energy-harvesting; NOMA; time-switching; power-splitting; outage probability; throughput
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MDPI and ACS Style

Nguyen, H.-S.; Ly, T.T.H.; Nguyen, T.-S.; Huynh, V.V.; Nguyen, T.-L.; Voznak, M. Outage Performance Analysis and SWIPT Optimization in Energy-Harvesting Wireless Sensor Network Deploying NOMA. Sensors 2019, 19, 613. https://doi.org/10.3390/s19030613

AMA Style

Nguyen H-S, Ly TTH, Nguyen T-S, Huynh VV, Nguyen T-L, Voznak M. Outage Performance Analysis and SWIPT Optimization in Energy-Harvesting Wireless Sensor Network Deploying NOMA. Sensors. 2019; 19(3):613. https://doi.org/10.3390/s19030613

Chicago/Turabian Style

Nguyen, Hoang-Sy, Tran T.H. Ly, Thanh-Sang Nguyen, Van V. Huynh, Thanh-Long Nguyen, and Miroslav Voznak. 2019. "Outage Performance Analysis and SWIPT Optimization in Energy-Harvesting Wireless Sensor Network Deploying NOMA" Sensors 19, no. 3: 613. https://doi.org/10.3390/s19030613

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