Multi-objective Optimization of Joint Power Allocation and Splitting Control for SWIPT-enabled NOMA Systems

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI:10.1109/ICCNC.2019.8685620

Jie Tang, Yu Yu, D. So, Gaojie Chen, Xiuyin Zhang, Mo Huang

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引用次数: 3

Abstract

In this paper, we investigate joint power allocation and splitting control in a SWIPT-enabled NOMA Systems applied with power splitting technique, with an aim to optimize the transmission rate and the total harvested energy simultaneously whilst satisfying the minimum transmission rate and minimum harvested energy of each user. These two conflicting objectives make the formulated optimization problem a constrained multi-objective optimization (MOO) problem, which is difficult to solve. To deal with this, we define a new objective function by summing the weighted values of the transmission rate achieved by information decoding (ID) and the transformed throughput from energy harvesting (EH) and transform the original MOO problem into a single-objective optimization problem. To tackle the formulated nonconvex problem, we decouple the optimization problem into two convex subproblems and solve them iteratively. Numerical results demonstrate that significant performance gain can be achieved by adopting the proposed algorithm.

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基于swift的NOMA系统联合功率分配与分裂控制多目标优化

本文研究了应用功率分割技术的基于swift的NOMA系统的联合功率分配和分裂控制，以同时优化传输速率和总收获能量，同时满足每个用户的最小传输速率和最小收获能量。这两个相互冲突的目标使得所提出的优化问题成为一个求解困难的约束多目标优化问题。为了解决这一问题，我们定义了一个新的目标函数，将信息解码(ID)获得的传输速率与能量收集(EH)转换后的吞吐量加权值相加，并将原来的MOO问题转化为单目标优化问题。为了解决公式化的非凸问题，我们将优化问题解耦为两个凸子问题并迭代求解。数值结果表明，采用该算法可以获得显著的性能增益。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 International Conference on Computing, Networking and Communications (ICNC)

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