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Analysis of Energy Efficiency for MIMO Wireless Network using Manifold Techniques

机译:使用流形技术的MIMO无线网络能效分析

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Applications for wireless networks are growing despite the challenge of the energy costs. Further, the number of users is increasing within the basic wireless facilities which are depending on the energy efficient systems. Apparently, users need minimum energy cost influenced with the efficient design of wireless network such as multiple-input, multiple-output (MIMO). In this research, I have considered some energy-saving ways for massive MIMO wireless system, which will be able to integrate with the next generation technology. The process of energy saving should be utilized between the source and destination of massive MIMO wireless network. Best and efficient processing will maximize the total energy efficiency (EE). To tackle the dilemma of supporting EE, MIMO with Pn-manifold or massive MIMO with feedback will be used as a new method. Manifolds are types of nonlinear multi-dimensional mathematics applied in MIMO system, which allow us to enhance the efficiency of the communication channel. Despite the less energy consumption used in the MIMO design, manifolds techniques are even better in terms of complexity and cost. In the proposed approach, feedback channel and computation of quantization influenced with Pn and Stiefel manifold, provide better resolution and spectrum during the communication than the existing systems. Therefore, this method will be useful to enhance the total EE.
机译:尽管面临能源成本的挑战,但无线网络的应用仍在增长。此外,在基本无线设施内,取决于节能系统的用户数量正在增加。显然,受无线网络(如多输入多输出(MIMO))的高效设计影响,用户需要最低的能源成本。在这项研究中,我考虑了大规模MIMO无线系统的一些节能方法,这些方法将能够与下一代技术集成。节能过程应在大规模MIMO无线网络的源和目标之间进行。最佳而高效的处理将使总能源效率(EE)最大化。为了解决支持EE的难题,将使用具有Pn流形的MIMO或具有反馈的大规模MIMO作为一种新方法。流形是在MIMO系统中应用的非线性多维数学的类型,它使我们能够提高通信信道的效率。尽管在MIMO设计中使用的能耗较少,但歧管技术在复杂性和成本方面甚至更好。在所提出的方法中,受Pn和Stiefel流形影响的反馈通道和量化计算在通信过程中提供了比现有系统更好的分辨率和频谱。因此,此方法将有助于增强总EE。

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