Radio spectrum maps for emerging IoT and 5G networks: Applications to smart buildings

E. Dutkiewicz, B. Jayawickrama, Ying He
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引用次数: 4

Abstract

The high demand for wireless Internet including emerging Internet of Things (IoT) applications is putting extreme pressure on better utilisation of the available radio spectrum. The expected spectrum “crunch” requires highly efficient radio resource management schemes with low complexity and high responsiveness to the changing network conditions. Spectrum sharing is regarded as an essential approach to regaining access to otherwise unused spectrum and it is considered an essential component in the development of IoT and 5G networks. Spectrum sharing can be conducted at different time scales. As the time scale of the operation of spectrum sharing decreases, the possibility for utilising more available spectrum holes increases. However, the shorter time scale brings with it challenges. Efficient decisions regarding the use of spectrum sharing require accurate knowledge of the spatial and temporal spectrum use in a geographical area of interest. This knowledge can be represented in Radio Spectrum Maps which need to be generated efficiently and accurately. In this paper we give an overview of the spectrum sharing concept for IoT and 5G networks. We also present our research on spectrum sharing to enable Smart Building IoT applications.
新兴物联网和5G网络的无线电频谱图:智能建筑的应用
对无线互联网的高需求,包括新兴的物联网(IoT)应用,给更好地利用可用无线电频谱带来了极大的压力。预期的频谱“紧缩”需要高效的无线电资源管理方案,具有低复杂性和对不断变化的网络条件的高响应性。频谱共享被认为是重新获得未使用频谱的重要途径,被认为是物联网和5G网络发展的重要组成部分。频谱共享可以在不同的时间尺度上进行。随着频谱共享操作时间尺度的减小,利用更多可用频谱空穴的可能性增加。然而,更短的时间尺度也带来了挑战。关于频谱共享使用的有效决策需要对感兴趣的地理区域的空间和时间频谱使用情况有准确的了解。这些知识可以在无线电频谱图中表示,需要有效和准确地生成。在本文中,我们概述了物联网和5G网络的频谱共享概念。我们还介绍了我们在频谱共享方面的研究,以实现智能建筑物联网应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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