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Energy efficiency optimization of simultaneous wireless information and power transfer system with power splitting receiver

机译:带有功率分配接收器的同时无线信息和功率传输系统的能效优化

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In this paper, an algorithm for energy efficiency optimization is designed in a point-to-point narrowband Multiple-Input Single-Output (MISO) system with Simultaneous Wireless Information and Power Transfer (SWIPT). Power splitting architecture is assumed for the receiver, which would split the received Radio Frequency (RF) signals into two independent streams for information decoding and energy harvesting, respectively. Taking both the Quality of Service (QoS) requirement and the constraint of harvested power requested into consideration, the energy efficiency optimization problem is formulated as a two-dimension non-convex problem. Nonlinear fractional programming, one-dimension searching and convex optimization are involved to develop the “EE-Max algorithm” to resolve the problem. The channel capacity optimization problem and the corresponding algorithm, “Capacity-Max algorithm”, are also studied for comparison. Numerical results demonstrate the excellent performance of energy efficiency for the EE-Max algorithm and reveal the influence of the searching interval, channel fading, the maximum transmission power and the QoS requirement.
机译:本文设计了一种具有同步无线信息和功率传输(SWIPT)的点对点窄带多输入单输出(MISO)系统中的能效优化算法。假定接收机采用功率分配架构,它将接收到的射频(RF)信号分为两个独立的流,分别用于信息解码和能量收集。同时考虑服务质量(QoS)要求和所要求的收集功率的约束,将能效优化问题表述为二维非凸问题。非线性分数规划,一维搜索和凸优化涉及开发“ EE-Max算法”来解决该问题。为了比较,还研究了信道容量优化问题和相应的算法“最大容量算法”。数值结果表明,EE-Max算法具有出色的能效性能,并揭示了搜索间隔,信道衰落,最大传输功率和QoS要求的影响。

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