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首页> 外文期刊>IEEE transactions on wireless communications >Channel-Aware Resource Allocation for Energy-Efficient Cloud Radio Access Networks Under Outage Specifications
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Channel-Aware Resource Allocation for Energy-Efficient Cloud Radio Access Networks Under Outage Specifications

机译:中断规范下的节能型云无线电接入网络的通道感知资源分配

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摘要

This paper investigates a cloud radio access network (C-RAN) architecture for future wireless network, which focuses on centralized processing for spatially distributed remote radio heads (RRHs). Our main goal is to promote an energy efficient C-RAN under the consideration of multiple access interference (MAI) and imperfect channel state information at the transmitter (CSIT) via outage-aware resource allocation. The closed-form expression of fading-induced outage probability for each transceiver pair will be established by analyzing the statistical property of signal-to-interference-plus-noise. In the course of finding feasible solutions to enhance energy efficiency, the optimization procedures named C-RAN-based energy efficient power allocation (CEEPA) and low-complexity CEEPA are proposed. As the number of RRHs grows to infinity, the deterministic equivalents of performance metrics can be derived by applying recent results from random matrix theorem, which lead to an efficient way to obtain the asymptotic-optimal resource allocation policy. Also, the regularized zero-forcing precoding technique is adopted to mitigate MAI and can tackle the impact of imperfect CSIT thanks to the derivation of deterministic equivalents. Numerical simulations show that the proposed resource allocation schemes can provide better energy efficiency and the accuracy of asymptotic expressions is also verified. Furthermore, the merit of a distributed antenna system is demonstrated through the comparison with centralized antenna system.
机译:本文研究了用于未来无线网络的云无线电接入网络(C-RAN)架构,该架构专注于对空间分布的远程无线电头(RRH)进行集中处理。我们的主要目标是考虑到多址干扰(MAI)并通过感知中断的资源分配,在发射机(CSIT)上获取不完善的信道状态信息,从而提高能源效率的C-RAN。通过分析信号对干扰加噪声的统计特性,可以建立每个收发器对衰落引起的中断概率的闭合形式。在寻找可行的解决方案以提高能源效率的过程中,提出了基于C-RAN的节能功率分配(CEEPA)和低复杂度CEEPA的优化程序。随着RRH的数量增长到无穷大,可以通过应用随机矩阵定理的最新结果来推导性能指标的确定性等价物,这是获得渐近最优资源分配策略的有效方法。此外,由于采用了确定性等价公式,因此采用了正规化的强制零强制预编码技术来缓解MAI,并且可以解决不完善的CSIT的影响。数值模拟表明,所提出的资源分配方案可以提供更好的能源利用效率,并验证了渐近表达式的准确性。此外,通过与集中式天线系统的比较证明了分布式天线系统的优点。

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