Throughput and Energy Efficiency for S-FFR in Massive MIMO Enabled Heterogeneous C-RAN
Throughput and Energy Efficiency for S-FFR in Massive MIMO Enabled Heterogeneous C-RAN
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DOI：
10.1109/glocom.2016.7842326
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
A. He;Lifeng Wang;Yue Chen;Kai‐Kit Wong;M. Elkashlan
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文献类型：
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作者：
A. He;Lifeng Wang;Yue Chen;Kai‐Kit Wong;M. Elkashlan
本文研究了支持大规模多输入多输出（MIMO）的异构云无线接入网络（C-RAN），在该网络中，远程射频头（RRH）和大规模MIMO宏小区基站（BS）都被部署以潜在地实现高吞吐量和能量效率（EE）。在该网络中，采用软分数频率复用（S-FFR）来减轻层间干扰。我们开发了一种易于处理的分析方法来评估整个网络的吞吐量和EE，它可以很好地预测关键系统参数，如宏小区BS天线数量，RRH密度和S-FFR因子的影响，我们的结果表明，大规模MIMO仍然是提高异构C-RAN吞吐量的有力工具，而RRH能够实现更高的EE。FFR对网络吞吐量的影响取决于RRH的密度。此外，分配给RRH的更多无线电资源可以大大提高网络的EE。
This paper considers the massive multiple-input multiple-output (MIMO) enabled heterogeneous cloud radio access network (C-RAN), in which both remote radio heads (RRHs) and massive MIMO macrocell base stations (BS) are deployed to potentially accomplish high throughput and energy efficiency (EE). In this network, the soft fractional frequency reuse (S-FFR) is employed to mitigate the inter-tier interference. We develop a tractable analytical approach to evaluate the throughput and EE of the entire network, which can well predict the impacts of the key system parameters such as number of macrocell BS antennas, RRH density, and S-FFR factor, etc. Our results demonstrate that massive MIMO is still a powerful tool for improving the throughput of the heterogeneous C-RAN while RRHs are capable of achieving higher EE. The impact of S-FFR on the network throughput is dependent on the density of RRHs. Furthermore, more radio resources allocated to the RRHs can greatly improve the EE of the network.