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C-RAN with Hybrid RF/FSO Fronthaul Links: Joint Optimization of RF Time Allocation and Fronthaul Compression

机译:具有混合RF / FSO前传链路的C-RAN:RF时间分配和前传压缩的联合优化

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This paper considers the uplink of a cloud radio access network (C-RAN) comprised of several multi-antenna remote radio units (RUs) which send the data that they received from multiple mobile users (MUs) to a central unit (CU) via a wireless fronthaul link. One of the fundamental challenges in implementing C-RAN is the huge data rate required for fronthauling. To address this issue, we employ hybrid radio frequency (RF)/free space optical (FSO) systems for the fronthaul links as they benefit from both the large data rates of FSO links and the reliability of RF links. To efficiently exploit the fronthaul capacity, the RUs employ vector quantization to jointly compress the signals received at their antennas. Moreover, due to the limited available RF spectrum, we assume that the RF multiple-access and fronthaul links employ the same RF resources. Thereby, we propose an adaptive protocol which allocates transmission time to the RF multiple-access and fronthaul links in a time division duplex (TDD) manner and optimizes the quantization noise covariance matrix at each RU such that the sum rate is maximized. Our simulation results reveal that a considerable gain in terms of sum rate can be achieved by the proposed protocol in comparison with benchmark schemes from the literature, especially when the FSO links experience unfavorable atmospheric conditions.
机译:本文考虑了由多个多天线远程无线电单元(RU)组成的云无线电接入网络(C-RAN)的上行链路,这些无线电单元通过多个移动用户(MU)将他们接收的数据发送到中央单元(CU)无线前传链接。实施C-RAN的基本挑战之一是前传所需的巨大数据速率。为了解决此问题,我们为前传链路采用了混合射频(RF)/自由空间光(FSO)系统,因为它们既受益于FSO链路的大数据速率,又受益于RF链路的可靠性。为了有效利用前传容量,RU使用矢量量化来联合压缩在其天线处接收到的信号。此外,由于有限的可用RF频谱,我们假设RF多址和前传链路使用相同的RF资源。因此,我们提出了一种自适应协议,该协议以时分双工(TDD)的方式将传输时间分配给RF多路访问和前传链路,并优化每个RU处的量化噪声协方差矩阵,以使总速率最大化。我们的仿真结果表明,与文献中的基准方案相比,所提出的协议可以在总速率上获得可观的收益,尤其是当FSO链路遇到不利的大气条件时。

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