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Optimal Power Allocation Scheme for Energy Efficiency Maximization in Distributed Antenna Systems

机译：分布式天线系统中能效最大化的最优功率分配方案

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摘要

In this paper, we present a power allocation method for a distributed antenna system (DAS) to maximize energy efficiency (EE), which is defined as the ratio of the transmission rate to the total consumed power. Different from conventional EE maximization schemes that require iterative numerical methods, we derive the optimal solution as a closed form by solving Karush-Kuhn-Tucker conditions. The obtained closed-form expression is applicable to DAS with an arbitrary number of distributed antenna (DA) ports and general per-DA port power constraints and is also guaranteed to be globally optimum. Then, we provide several interesting observations on the proposed EE maximizing power allocation scheme. Based on these results, we propose a simplified practical power allocation method that employs the DA port selection and computes the power level in a distributed manner. Through Monte Carlo simulations, we show that the proposed optimal power allocation method produces the EE identical to exhaustive search with significantly reduced computational complexity. In addition, it is shown that the proposed simplified power allocation method based on the DA port selection exhibits little performance loss compared to the optimal algorithm with a remarkable reduction in the system overhead.
机译：在本文中，我们提出了一种用于分布式天线系统（DAS）的功率分配方法，以最大化能量效率（EE），其定义为传输速率与总消耗功率之比。与需要迭代数值方法的常规EE最大化方案不同，我们通过求解Karush-Kuhn-Tucker条件得出最优解为封闭形式。所获得的闭式表达式适用于具有任意数量的分布式天线（DA）端口和一般每个DA端口功率约束的DAS，并且还可以保证全局最优。然后，我们对提出的EE最大化功率分配方案提供了一些有趣的观察。基于这些结果，我们提出了一种简化的实用功率分配方法，该方法采用DA端口选择并以分布式方式计算功率水平。通过蒙特卡洛模拟，我们表明，提出的最佳功率分配方法产生的EE与穷举搜索相同，并且计算复杂度大大降低。此外，结果表明，与最佳算法相比，基于DA端口选择的简化功率分配方法几乎没有性能损失，并且系统开销显着降低。

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