Energy Efficient User Association for Cloud Radio Access Networks

Energy Efficient User Association for Cloud Radio Access Networks
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DOI：
10.1109/access.2016.2566338
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发表时间：
2016-05
期刊：
IEEE Access
影响因子：
3.9
通讯作者：
Jun Zuo;Jun Zhang;C. Yuen;Wei Jiang;Wu Luo
Jun Zuo;Jun Zhang;C. Yuen;Wei Jiang;Wu Luo
中科院分区：
计算机科学3区
文献类型：
--
作者：
Jun Zuo;Jun Zhang;C. Yuen;Wei Jiang;Wu Luo

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云无线接入网（C-RAN）和大规模多输入多输出（MIMO）技术被认为是第五代移动的网络的两大关键技术。在本文中，我们考虑在大规模MIMO授权的C-RAN，其中多个天线在每个远程无线电头端（RRH）集群基于能量效率的用户关联问题。首先得到了能量效率的确定性等价表达式，然后提出了三种用户关联算法，分别命名为基于最近的用户关联（NBUA）、单候选RRH用户关联（SCRUA）和多候选RRH用户关联（MCRUA）。在NBUA和SCRUA中，每个用户仅与一个RRH相关联，而在MCRUA中，多个RRH可以服务于同一用户。在我们的算法中，通过允许将低效的RRH变为睡眠模式来考虑前传链路和天线的功耗的影响。我们提供了所提出的算法和一个国家的最先进的基线，将每个用户与最近的RRH的数值比较。结果表明，我们提出的算法实现了更高的能量效率比基线算法。MCRUA算法在频谱效率和能量效率之间取得了较好的平衡，并且在用户数较大时性能增益更为显著。
Cloud radio access network (C-RAN) and massive multiple-input multiple-output (MIMO) are recognized as two key technologies for the fifth-generation mobile networks. In this paper, we consider the energy efficiency-based user association problem in massive MIMO empowered C-RAN, where multiple antennae are clustered at each remote radio head (RRH). We first obtain the deterministic equivalent expression of the energy efficiency, and then propose three user association algorithms, named nearest-based user association (NBUA), single-candidate RRH user association (SCRUA), and multi-candidate RRHs user association (MCRUA), respectively. In NBUA and SCRUA, each user is associated with only one RRH, and in MCRUA, multiple RRHs can serve the same user. In our algorithms, the impact of the power consumption of fronthaul links and antennas is considered by allowing inefficient RRHs to be turned into sleep mode. We provide the numerical comparisons of the proposed algorithms and a state-of-the-art baseline, which associates each user with the nearest RRH. The results show that our proposed algorithms achieve higher energy efficiency than the baseline algorithm. The proposed MCRUA algorithm achieves a good balance between spectral and energy efficiency, and the performance gain is more significant when the number of users is large.