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Energy efficient preceding C-RAN downlink with compression at fronthaul

机译:节能的前C-RAN下行链路,前传压缩

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This paper considers a downlink transmission of cloud radio access network (C-RAN) in which precoded baseband signals at a common baseband unit are compressed before being forwarded to radio units (RUs) through limited fronthaul capacity links. We investigate the joint design of precoding, multivariate compression and RU-user selection which maximizes the energy efficiency of downlink C-RAN networks. The considered problem is inherently a rank-constrained mixed Boolean nonconvex program for which a globally optimal solution is difficult and computationally expensive to find. In order to derive practically appealing solutions, we invoke some useful relaxation and transformation techniques to arrive at a more tractable (but still nonconvex) continuous program. To solve the relaxation problem, we propose an iterative procedure based on DC algorithms which is provably convergent. Numerical results demonstrate the superior of the proposed solution in terms of achievable energy efficiency compared to existing schemes.
机译:本文考虑了云无线电接入网络(C-RAN)的下行链路传输,其中在将公共基带单元中的预编码基带信号压缩之前,先通过有限的前传容量链路将其转发给无线单元(RU)。我们研究了预编码,多元压缩和RU用户选择的联合设计,该设计最大程度地提高了下行C-RAN网络的能效。所考虑的问题本质上是一种秩受限的混合布尔非凸程序,对于该程序而言,难以找到全局最优解,而且在计算上也很昂贵。为了得出实用的解决方案,我们调用了一些有用的松弛和转换技术以得出更易于处理(但仍非凸)的连续程序。为了解决松弛问题,我们提出了一种基于DC算法的迭代过程,该过程证明是收敛的。数值结果表明,与现有方案相比,所提出的解决方案在可实现的能源效率方面具有优势。

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