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Analysis of virtualized Turbo-decoder implementation for Cloud-RAN systems

机译:Cloud-RAN系统的虚拟Turbo解码器实现分析

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The virtualization of radio access network functions using centralized cloud platforms will enable advanced joint processing approaches and offers the ability to improve the utilization efficiency of the computational resources. However, the tight timing constraints caused by the protocol stack makes the implementation of physical layer functionality on a cloud-platform a challenging task. As the Turbo decoder is the computational most demanding part of the LTE uplink processing, we analyze its implementation on a typical cloud platform, discuss the rate-complexity tradeoff, and analyze the benefit of computational aware link adaptation.
机译:使用集中式云平台对无线接入网络功能进行虚拟化将支持高级联合处理方法,并能够提高计算资源的利用效率。然而,由协议栈引起的严格的时序约束使得在云平台上实现物理层功能成为一项艰巨的任务。由于Turbo解码器是LTE上行链路处理中计算最苛刻的部分,因此我们分析了其在典型云平台上的实现,讨论了速率复杂度的权衡,并分析了计算感知链路自适应的好处。

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