Sum-rate Maximization in Uplink CRAN with a Massive MIMO Fronthaul
Sum-rate Maximization in Uplink CRAN with a Massive MIMO Fronthaul
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DOI：
10.1109/gcwkshps52748.2021.9681970
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发表时间：
2021-10
期刊：
影响因子：
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通讯作者：
Dick Maryopi;Yingjia Huang;A. Ikhlef
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文献类型：
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作者：
Dick Maryopi;Yingjia Huang;A. Ikhlef
有限的前传容量是云无线接入网络（CRAN）中的主要问题之一，特别是在无线前传链路中。在本文中，我们考虑CRAN系统的上行链路，其中大量的多输入多输出（MIMO）是利用在前传链路。考虑到多天线用户设备（UE）和多天线远程无线电头端（RRH），我们通过联合优化UE处的预编码器和RRH处的量化噪声协方差矩阵和发射功率来最大化系统和速率。为了解决由此产生的非凸问题，基于优化最小化（MM）方法的迭代算法。在中央单元被认为是两个计划，即最大比（MR）和迫零（ZF）合并。数值结果表明，和率有一个渐近行为的最大可用功率在RRH和MR计划去其渐近线快于ZF计划。
The limited fronthaul capacity is known to be one of the main problems in cloud radio access networks (CRANs), especially in the wireless fronthaul links. In this paper, we consider the uplink of a CRAN system, where massive multiple-input multiple-output (MIMO) is utilized in the fronthaul link. Considering multi-antenna user equipment (UEs) and multi-antenna remote radio heads (RRHs), we maximize the system sum-rate by jointly optimizing the precoders at the UEs and the quantization noise covariance matrices and transmit powers at the RRHs. To solve the resulting nonconvex problem, an iterative algorithm based on the majorization-minimization (MM) method is proposed. Two schemes at the central unit are considered, namely maximum ratio (MR) and zero-forcing (ZF) combining. Numerical results show that the sum-rate has an asymptotic behaviour with respect to the maximum available power at RRHs and that the MR scheme goes to its asymptote faster than the ZF scheme.