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首页> 外文期刊>IEEE Wireless Communications >Extracting and Exploiting Inherent Sparsity for Efficient IoT Support in 5G: Challenges and Potential Solutions
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Extracting and Exploiting Inherent Sparsity for Efficient IoT Support in 5G: Challenges and Potential Solutions

机译:提取和利用固有稀疏性以在5G中提供有效的物联网支持:挑战和潜在解决方案

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摘要

Besides enabling an enhanced mobile broadband, the next generation of mobile networks (5G) are envisioned for the support of massive connectivity for heterogeneous Internets of Things. These IoTs are envisioned for a large number of use cases including smart cities, environment monitoring, smart vehicles, and so on. Unfortunately, most IoTs have very limited computing and storage capabilities and need cloud services. Hence, connecting these devices through 5G systems requires huge spectrum resources in addition to handling massive connectivity and improved security. This article discusses the challenges facing the support of IoTs through 5G systems. The focus is devoted to discussing physical layer limitations in terms of spectrum resources and radio access channel connectivity. We show how sparsity can be exploited for addressing these challenges, especially in terms of enabling wideband spectrum management and handling the connectivity by exploiting device-to-device communications and edge cloud. Moreover, we identify major open problems and research directions that need to be explored toward enabling the support of massive heterogeneous IoTs through 5G systems.
机译:除了支持增强的移动宽带外,下一代移动网络(5G)还可以支持异构物联网的大规模连接。可以将这些物联网用于大量用例,包括智能城市,环境监控,智能车辆等。不幸的是,大多数物联网具有非常有限的计算和存储功能,并且需要云服务。因此,通过5G系统连接这些设备除了需要处理大量连接和提高安全性外,还需要巨大的频谱资源。本文讨论了通过5G系统支持物联网所面临的挑战。重点致力于讨论频谱资源和无线电接入信道连接方面的物理层限制。我们展示了如何利用稀疏性来应对这些挑战,特别是在通过利用设备间通信和边缘云来实现宽带频谱管理和处理连接性方面。此外,我们确定了需要解决的主要开放问题和研究方向,以通过5G系统实现对大型异构物联网的支持。

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