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Resource-efficiency improvement based on BBU/RRH associated scheduling for C-RAN

机译:基于BBU / RRH关联调度的C-RAN资源效率提高

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Cloud radio access network (C-RAN) is an attractive technology to improve power efficiency through providing a novel architecture of baseband unit (BBU) pool to centrally process mass of transmitted data. How to further reduce BBU pool resource cost is a challenge issue. In this paper, we propose a resource scheduling scheme jointly considering multi-cell interference and BBU pool resource cost to reduce system power consumption. We construct the total power consumption, which includes computing resource of BBU pool and data transmission power. And we formulate the resource scheduling cost (RSC) model to minimize the total power consumption per bit. To solve the proposed RSC problem, which is NP-hard, we equivalently transform the original RSC problem into two sub-problems, i.e. transmission power and computing resource sub-problems. We apply support vector machine to compute the probabilistic interference and obtain the optimized remote radio heads transmission power and transmit rate using Zoutendijk's method. In addition, we solve the computing resource sub-problem applying linear programming to obtain the minimum computing resource cost of BBU pool and system power cost. Simulation results show that the proposed RSC model significantly improved resource efficiency compared with the decomposition model for BBU allocation and NF based BBU scheduling model.
机译:云无线电接入网(C-RAN)是一项引人注目的技术,可通过提供一种新颖的基带单元(BBU)池架构来集中处理大量传输数据来提高电源效率。如何进一步降低BBU池资源成本是一个难题。在本文中,我们结合多小区干扰和BBU池资源成本提出了一种资源调度方案,以降低系统功耗。我们构造了总功耗,其中包括BBU池的计算资源和数据传输功率。然后,我们制定了资源调度成本(RSC)模型,以最大程度地降低每位的总功耗。为了解决提出的NP问题的RSC问题,我们将原始RSC问题等效地转换为两个子问题,即传输功率和计算资源子问题。我们应用支持向量机来计算概率干扰,并使用Zoutendijk的方法获得优化的远程无线电头的传输功率和传输速率。另外,我们利用线性规划解决了计算资源的子问题,从而获得了BBU池的最小计算资源成本和系统功耗成本。仿真结果表明,与BBU分配分解模型和基于NF的BBU调度模型相比,提出的RSC模型显着提高了资源效率。

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