Rodoshi Rehenuma Tasnim, Kim Taewoon, Choi Wooyeol
Department of Computer Engineering, Chosun University, Gwangju 61452, Korea.
School of Software, Hallym University, Chuncheon 24252, Korea.
Sensors (Basel). 2020 May 9;20(9):2708. doi: 10.3390/s20092708.
Cloud radio access network (C-RAN) is a promising mobile wireless sensor network architecture to address the challenges of ever-increasing mobile data traffic and network costs. C-RAN is a practical solution to the strict energy-constrained wireless sensor nodes, often found in Internet of Things (IoT) applications. Although this architecture can provide energy efficiency and reduce cost, it is a challenging task in C-RAN to utilize the resources efficiently, considering the dynamic real-time environment. Several research works have proposed different methodologies for effective resource management in C-RAN. This study performs a comprehensive survey on the state-of-the-art resource management techniques that have been proposed recently for this architecture. The resource management techniques are categorized into computational resource management (CRM) and radio resource management (RRM) techniques. Then both of the techniques are further classified and analyzed based on the strategies used in the studies. Remote radio head (RRH) clustering schemes used in CRM techniques are discussed extensively. In this research work, the investigated performance metrics and their validation techniques are critically analyzed. Moreover, other important challenges and open research issues for efficient resource management in C-RAN are highlighted to provide future research direction.
云无线接入网络（C-RAN）是一种很有前景的移动无线传感器网络架构，旨在应对移动数据流量不断增加和网络成本带来的挑战。C-RAN是解决物联网（IoT）应用中常见的严格能量受限无线传感器节点问题的一种切实可行的解决方案。尽管这种架构可以提高能源效率并降低成本，但考虑到动态实时环境，在C-RAN中有效利用资源是一项具有挑战性的任务。一些研究工作针对C-RAN中的有效资源管理提出了不同的方法。本研究对最近针对该架构提出的最新资源管理技术进行了全面的调查。资源管理技术分为计算资源管理（CRM）和无线资源管理（RRM）技术。然后根据研究中使用 的策略对这两种技术进行进一步分类和分析。对CRM技术中使用的远程无线头（RRH）聚类方案进行了广泛讨论。在这项研究工作中，对所研究的性能指标及其验证技术进行了批判性分析。此外，还强调了C-RAN中高效资源管理的其他重要挑战和开放研究问题，以提供未来的研究方向。
