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Transmit Precoding and Receive Power Splitting for Harvested Power Maximization in MIMO SWIPT Systems

机译:发射预编码和接收功率分配,以实现MIMO SWIPT系统中的最大功率采集

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We consider the problem of maximizing the harvested power in Multiple Input Multiple Output (MIMO) Simultaneous Wireless Information and Power Transfer systems with power splitting reception. Different from recently proposed designs, with our optimization problem formulation we target for the jointly optimal transmit precoding and receive uniform power splitting ratio maximizing the harvested power, while ensuring that the quality-of-service requirement of the MIMO link is satisfied. We assume practical radio-frequency Energy Harvesting (EH) receive operation that results in a non-convex optimization problem for the design parameters, which we first formulate in an equivalent generalized convex problem that we then solve optimally. We also derive the globally optimal transmit precoding design for ideal reception. Furthermore, we present analytical bounds for the key variables of both considered problems along with tight high signal-to-noise ratio approximations for their optimal solutions. Two algorithms for the efficient computation of the globally optimal designs are outlined. The first requires solving a small number of non-linear equations, while the second is based on a two-dimensional (2-D) search having linear complexity. Computer simulation results are presented validating the proposed analysis, providing key insights on various system parameters, and investigating the achievable EH gains over benchmark schemes.
机译:我们考虑在具有功率分配接收的多输入多输出(MIMO)同步无线信息和功率传输系统中最大化采集功率的问题。与最近提出的设计不同,通过我们的优化问题表述,我们以共同优化的发射预编码为目标,并在确保满足MIMO链路的服务质量要求的同时,获得使功率最大化的统一功率分配比。我们假设实际的射频能量收集(EH)接收操作会导致设计参数的非凸优化问题,我们首先将其表达为等效的广义凸问题,然后对其进行最优求解。我们还导出了理想接收的全局最优发射预编码设计。此外,我们给出了两个已考虑问题的关键变量的分析范围,以及针对其最佳解决方案的严格的高信噪比近似值。概述了两种用于全局最优设计的有效计算的算法。第一个需要求解少量的非线性方程,而第二个则基于具有线性复杂度的二维(2-D)搜索。提出的计算机仿真结果验证了所提出的分析结果,提供了各种系统参数的关键见解,并调查了基准方案可实现的EH增益。

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