Data Aggregation in Massive Machine Type Communication: Challenges and Solutions
Data Aggregation in Massive Machine Type Communication: Challenges and Solutions
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DOI：
10.1109/access.2019.2906880
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发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Tao, Xiaofeng
中科院分区：
文献类型：
--
作者：
Salam, Tabinda;Rehman, Waheed Ur;Tao, Xiaofeng
机器类型通信(MTC)是实现第五代(5G)物联网(IoT)全互联世界概念的一项基础技术。从运营和管理的角度来看，MTC设备的大规模推出对蜂窝网络是一个严重的挑战，包括大量接入和网络拥塞。为了应对蜂窝网络中大规模移动通信(MMTC)接入带来的滋扰，研究界提出了许多建议。近年来，数据聚合因其强大的解决上述挑战的能力而引起了人们的广泛关注。在本文中，我们回顾了数据聚合技术的最新发展，包括它们的应用场景、设计和局限性。从MTC网络的应用场景和当前面临的挑战入手，详细讨论了各种海量接入解决方案的分类以及数据聚合技术家族。通过这样做，它提供了对未来设计趋势的洞察，这些趋势可以推动当前的研究工作，以遏制蜂窝网络中的MMTC接入。
Machine type communication (MTC) is a fundamental technology to realize the concept of fully connected world in fifth generation (5G) Internet of Things (IoT). The massive roll out of the MTC devices is a serious challenge for cellular networks from operational and management perspective, including massive access and network congestion. Many proposals have been put forward by the research community to cater to the nuisance of massive MTC (mMTC) access in cellular networks. Recently, data aggregation has attracted a lot of research attention owing to its robust ability to resolve the above-mentioned challenges. In this paper, we review the recent development in data aggregation techniques, including their application scenarios, design, and limitations. Commencing with the application scenarios and current challenges in the MTC network, the classification of various proposed solutions for massive access along with the family of data aggregation techniques is discussed in detail. By doing so, it provides an insight about the future design trends that can propel the current research efforts to curb the mMTC access in a cellular network.