Short Survey on Clustering Techniques for RRH in 5G networks

Kmar Thaalbi, M. Missaoui, N. Tabbane
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引用次数: 5

Abstract

Cloud Radio Access Network (C-RAN) is a promising solution to meet the 5GGP requirements for 5G Networks. The C-RAN is based on the idea of splitting the conventional eNB into two parts: the Remote Radio Head (RRH) and the Base Band Unit (BBU). The RRH will be responsible for the RF transmission and it will be densified to enhance the capacity of the network and the quality of service in response to the ever-increasing high demand for the applications. The BBU will care about the computational processing. To reduce the installation and maintenance costs and to enable and improve advanced features of the network such as Coordinated Multi-Point (CoMP) and enhanced Inter-Cell Interference Coordination (e-ICIC), the RRHs should be pooled and grouped into clusters. Several RRHs will be assigned to one BBU which will break with the conventional one-to-one mapping. The Clustering task is considered to be an NP-Hard problem. This article surveys the literature on Clustering algorithms and techniques as they apply to C-RAN Architecture and evaluate the resulting configuration of BBU pools.
5G网络RRH聚类技术综述
云无线接入网(C-RAN)是一种很有前途的解决方案,可以满足5G网络的5GGP要求。C-RAN基于将传统eNB分成两部分的想法:远程无线电头(RRH)和基带单元(BBU)。RRH将负责射频传输,并将进行密集化,以提高网络容量和服务质量,以响应不断增长的高应用需求。BBU会关心计算过程。为了降低安装和维护成本,并启用和改进网络的高级功能,如协调多点(CoMP)和增强型小区间干扰协调(e-ICIC),应将rrh合并并分组为集群。多个rrh将分配给一个BBU,这将打破传统的一对一映射。聚类任务被认为是一个NP-Hard问题。本文综述了应用于C-RAN架构的聚类算法和技术方面的文献,并评估了BBU池的最终配置。
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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