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Energy efficient massive MIMO system design for smart grid communications.

机译:用于智能电网通信的高效节能大规模MIMO系统设计。

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摘要

Communication technologies are critical in achieving potential advantages of smart gird (SG), as they enable electric utilities to interact with their devices and customers. This paper focuses on the integration of a massive multiple-input multiple-output (MIMO) technique into a SG communication architecture. Massive MIMO has the benefits of offering higher data rates, whereas operating a large number of antennas in practice could increase the system complexity and energy consumption. We propose to use antenna selection to preserve the gain provided by the large number of antennas, and investigate an energy efficient massive MIMO system design for SG communications. Specifically, we derive a closed-form asymptotic approximation to the system energy efficiency function in consideration of channel spatial correlation, which exhibits an excellent level of accuracy for a wide range of system dimensions in SG communication scenarios. Based on the accurate approximation, we propose a novel antenna selection scheme aiming at maximizing the system energy efficiency, using only the long-term channel statistics. Simulation results show that the proposed antenna selection scheme can always achieve an energy efficiency gain compared to other selection schemes or baseline systems without antenna selection, and thus is particularly valuable for enabling an energy efficient communication system of the SG.
机译:通信技术对于实现智能电网(SG)的潜在优势至关重要,因为它们使电力公司能够与其设备和客户进行交互。本文着重于将大规模多输入多输出(MIMO)技术集成到SG通信体系结构中。大规模MIMO具有提供更高数据速率的优势,而实际上操作大量天线可能会增加系统复杂性和能耗。我们建议使用天线选择来保留大量天线提供的增益,并研究用于SG通信的高效节能大规模MIMO系统设计。具体而言,我们在考虑信道空间相关性的情况下,得出了系统能效函数的闭式渐近近似,对于SG通信场景中的各种系统尺寸,它表现出极好的精度。基于精确的近似,我们提出了一种新颖的天线选择方案,该方案旨在仅使用长期信道统计信息来最大化系统能效。仿真结果表明,与没有天线选择的其他选择方案或基准系统相比,提出的天线选择方案始终可以实现能量效率增益,因此对于启用SG的节能通信系统特别有价值。

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