Optimal Antenna Array Topologies for Energy Efficiency Maximization by Employing Particle Swarm Optimization
Optimal Antenna Array Topologies for Energy Efficiency Maximization by Employing Particle Swarm Optimization
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DOI：
10.1109/apwc.2019.8870504
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发表时间：
2019-09
期刊：
影响因子：
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通讯作者：
Yingke Huang;P. Karadimas;A. P. Sohrab
中科院分区：
文献类型：
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作者：
Yingke Huang;P. Karadimas;A. P. Sohrab
本研究的目的是设计新颖的天线阵列拓扑结构，以最大化多输入多输出（MIMO）无线系统的能量效率（EE）。为了深入了解EE优化问题，粒子群优化（PSO）算法是一种有效的技术。首先，我们采用了灵活的和广义的三维（3D）到达角（AOA）模型来考虑现实的传播环境。然后，我们推导出一种新的封闭形式的空间相关函数（SCF）相关的天线阵元的位置在3D空间。在本文中，我们将我们的SCF到EE推导和应用PSO算法，以找到最佳的天线阵列拓扑结构在空间中，最大限度地提高EE。派生EE是显着高于现有的国家的最先进的研究，采用了指数SCF。我们提供了新的见解EE最大化天线阵列，仿真结果表明所提出的方法的有效性和实用性。
The purpose of this work is to design novel antenna array topologies that maximize the energy efficiency (EE) in multiple-input-multiple-output (MIMO) wireless systems. To provide insights into EE optimization issues, the particle swarm optimization (PSO) algorithm is employed as an effective technique. First, we adopt a flexible and generalized three-dimensional (3D) angle of arrival (AOA) model to account for realistic propagation environments. Then we derive a novel closed-form spatial correlation function (SCF) relevant to the locations of antenna array elements in the 3D space. In this paper, we incorporate our SCF into the EE derivation and apply the PSO algorithm to find the optimal antenna array topology in space that maximizes the EE. The derived EE is significantly higher compared to existing state-of-the art research that employed an exponential SCF. We provide new insights into EE maximization for antenna arrays, where the simulation results demonstrate the effectiveness and usefulness of the proposed approach.