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Optimal Recursive Power Allocation for Energy Harvesting System With Multiple Antennas

机译:具有多个天线的能量收集系统的最优递归功率分配

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In this paper, we investigate the optimal recursive power-allocation policies with energy harvesting wireless nodes equipped with multiple antennas in a fading channel. This optimization problem includes several complex matrices as optimization variables. As a difference, existing optimization theory and methods have been designed to solve these problems over real space. Naturally, the optimization variables have been assumed points in the real space. We proposed a transform approach and designed the algorithms for solving the throughput maximization problem and transmission completion time minimization problem for a multiple-input–multiple-output (MIMO) system. The algorithms were further extended to solve the throughput maximization problem of a hybrid system with both harvesting energy and grid power. Numerical results illustrated the algorithm steps and significant efficiency of the proposed algorithms. To the best of the authors' knowledge, there are no existing algorithms reported in the open literature to obtain exact solutions to the proposed problems. Significant features of the proposed algorithms are that 1) they provide the exact optimal solutions via efficient finite computation and that 2) optimality of the proposed algorithms is strictly proven.
机译:在本文中,我们研究了在衰落信道中配备有多个天线的能量收集无线节点的最优递归功率分配策略。该优化问题包括多个复杂矩阵作为优化变量。区别在于,已经设计了现有的优化理论和方法来解决实际空间中的这些问题。自然,优化变量被假定为真实空间中的点。我们提出了一种变换方法,并设计了用于解决多输入多输出(MIMO)系统的吞吐量最大化问题和传输完成时间最小化问题的算法。进一步扩展了算法,以解决具有能量和电网功率的混合系统的吞吐量最大化问题。数值结果说明了所提出算法的算法步骤和明显的效率。据作者所知,开放文献中没有报告现有算法来获得所提出问题的精确解决方案。所提出的算法的重要特征是:1)它们通过有效的有限计算提供了精确的最优解;以及2)严格证明了所提出算法的最优性。

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