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Clustering of Remote Radio Heads in C-RAN to minimize the number of Base-Band Units

机译:在C-RAN中对远程无线电头进行群集,以最大程度地减少基带单元的数量

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Cloud Radio Access Networks (C-RAN) offer the means for adopting the coverage and the capacity according to the changing user densities and the associated change of required capacity. C-RAN decouples the provisioning of virtual Base Band Unit (BBU) from the physical transmission provided by the Remote Radio Head (RRH). This decoupling provides a similar decoupling between capacity and coverage. C-RAN allows the activation of the number of RRHs needed for coverage and the number of BBUs needed to satisfy the capacity need. The ability to connect multiple RRHs to the same BBU allows for enhancing coverage while achieving rate requirements using the least number of BBUs. The aim of this paper is to minimize the number of BBUs used to offer wireless coverage by providing techniques to split the coverage into the smallest number of RRH clusters. Each cluster is then connected to a single BBU. The paper investigates the use of three RRH clustering techniques in indoor 4G networks: a modified K-means based technique and two heuristic algorithms using numerical simulations. Results show that the K-means technique produced lower activated BBUs and the RRH clusters were tighter in space providing better user coverage per cluster.
机译:云无线电接入网(C-RAN)提供了根据不断变化的用户密度以及所需容量的相关变化采用覆盖范围和容量的方法。 C-RAN将虚拟基带单元(BBU)的配置与远程无线头(RRH)提供的物理传输分离。这种解耦在容量和覆盖范围之间提供了类似的解耦。 C-RAN允许激活覆盖所需的RRH数量和满足容量需求所需的BBU数量。将多个RRH连接到同一BBU的能力可以增强覆盖范围,同时使用最少的BBU达到速率要求。本文的目的是通过提供将覆盖范围划分为最小数量的RRH群集的技术,来最大限度地减少用于提供无线覆盖范围的BBU的数量。然后,每个群集都连接到单个BBU。本文研究了室内4G网络中三种RRH群集技术的使用:一种基于K均值的改进技术和两种采用数值模拟的启发式算法。结果表明,K-means技术产生的激活BBU较低,RRH群集的空间更紧密,每个群集的用户覆盖范围更好。

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