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Optimizing Efficient Energy Transmission on a SWIPT Interference Channel Under Linear/Nonlinear EH Models
IEEE Systems Journal ( IF 4.0 ) Pub Date : 2019-07-08 , DOI: 10.1109/jsyst.2019.2924265
Pham Viet Tuan , Insoo Koo

In this paper, we consider simultaneous wireless information and power transfer (SWIPT) in a multiple-input single-output interference channel (IC) system where the power-splitting (PS) receivers utilize linear/nonlinear energy-harvesting (EH) models. The functions that express the relationship between the input radio frequency power and the output direct current harvested energy of the EH circuits are usually assumed to be linear in recent SWIPT works, while the nonlinear function is suitable for practical data. In a SWIPT IC system, two important targets are sum harvested energy maximization and harvested energy efficiency maximization at the PS receiver, and they are investigated under linear/nonlinear EH models. Thus, some nonconvex resource allocation problems with the two targets and linear/nonlinear EH models are formulated to jointly optimize beamforming vectors at the transmitters and the PS ratios at the receivers. By exploiting a successive convex approximation method and a semidefinite relaxation (SDR) technique, iterative algorithms are proposed to obtain local optimal solutions. Interestingly, the optimal solution to the subproblem is proven to satisfy the rank-1 constraint of the SDR technique. Finally, numerical experiments illustrate effective performance from the proposed solutions, in comparison with some special schemes.

中文翻译:

线性/非线性EH模型下的SWIPT干扰信道上的有效能量传输优化

在本文中,我们考虑了多输入单输出干扰信道(IC)系统中的同时无线信息和功率传输(SWIPT),其中功率分配(PS)接收器使用线性/非线性能量收集(EH)模型。在最近的SWIPT研究中,通常假定表示EH电路的输入射频功率与输出直流电采集的能量之间关系的函数是线性的,而非线性函数则适用于实际数据。在SWIPT IC系统中,两个重要目标是PS接收器的总和能量最大化和能量效率最大化,并且在线性/非线性EH模型下对它们进行了研究。从而,制定了两个目标和线性/非线性EH模型的一些非凸资源分配问题,以共同优化发射机处的波束成形矢量和接收机处的PS比。通过利用连续凸逼近法和半定松弛(SDR)技术,提出了迭代算法以获得局部最优解。有趣的是,事实证明,该子问题的最佳解决方案满足了SDR技术的等级1约束。最后,与一些特殊方案相比,数值实验说明了所提出解决方案的有效性能。提出了迭代算法以获得局部最优解。有趣的是,事实证明,该子问题的最佳解决方案满足了SDR技术的等级1约束。最后,与一些特殊方案相比,数值实验说明了所提出解决方案的有效性能。提出了迭代算法以获得局部最优解。有趣的是,事实证明,该子问题的最佳解决方案满足了SDR技术的等级1约束。最后,与一些特殊方案相比,数值实验说明了所提出解决方案的有效性能。
更新日期:2020-04-22
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