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基于 NOMA 的能量 harvesting 无线传感器网络的中断性能分析和 SWIPT 优化。

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

机构信息

VSB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic.

Institute of Artificial Intelligence, Faculty of Information Technology, Binh Duong University, Thu Dau Mot City, Vietnam.

出版信息

Sensors (Basel). 2019 Feb 1;19(3):613. doi: 10.3390/s19030613.

DOI:10.3390/s19030613
PMID:30717155
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6387152/
Abstract

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.

摘要

由于无线通信中非正交多址接入（NOMA）的优势，我们评估了一个部署 NOMA 的无线传感器网络（WSN-NOMA），其中在两个时隙的整个传输过程中，目标可以接收两个数据符号。在这项工作中，部署了两种中继协议，即基于时分切换的中继 WSN-NOMA（TSR WSN-NOMA）和基于功率分割的中继 WSN-NOMA（PSR WSN-NOMA），用于研究能量收集（EH）。关于系统性能分析，我们获得了两种协议中精确和近似中断概率（OP）的闭式表达式，并评估了时延受限吞吐量。然后，我们从理论上比较了两种协议，并提出了两个优化问题，以降低 OP 的影响并优化数据速率。我们提供了数值和仿真结果来验证理论和分析分析。有了这些结果，如果找到最佳的 TS 和 PS 比值，TSR WSN-NOMA 和 PSR WSN-NOMA 都可以获得更好的性能。此外，在 OP 方面，优化后的 TSR WSN-NOMA 优于 PSR WSN-NOMA。

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