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Software-defined sphere decoding for FPGA-based MIMO detection

机译:用于基于FPGA的MIMO检测的软件定义球解码

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摘要

Sphere Decoding (SD) is a highly effective detection technique for Multiple-Input Multiple-Output (MIMO) wireless communications receivers, offering quasi-optimal accuracy with relatively low computational complexity as compared to the ideal ML detector. Despite this, the computational demands of even low-complexity SD variants, such as Fixed Complexity SD (FSD), remains such that implementation on modern software-defined network equipment is a highly challenging process, and indeed real-time solutions for MIMO systems such as 4 4 16-QAM 802.11n are unreported. This paper overcomes this barrier. By exploiting large-scale networks of fine-grained softwareprogrammable processors on Field Programmable Gate Array (FPGA), a series of unique SD implementations are presented, culminating in the only single-chip, real-time quasi-optimal SD for 44 16-QAM 802.11n MIMO. Furthermore, it demonstrates that the high performance software-defined architectures which enable these implementations exhibit cost comparable to dedicated circuit architectures.
机译:球形解码(SD)是一种用于多输入多输出(MIMO)无线通信接收器的高效检测技术,与理想的ML检测器相比,它提供了准最佳精度和相对较低的计算复杂度。尽管如此,即使是低复杂度SD变体(例如固定复杂度SD(FSD))的计算需求仍然存在,因此在现代软件定义的网络设备上实施是一个极具挑战性的过程,实际上是MIMO系统的实时解决方案,例如因为未报告4 4 16-QAM 802.11n。本文克服了这一障碍。通过利用现场可编程门阵列(FPGA)上的细粒度软件可编程处理器的大规模网络,提出了一系列独特的SD实现,最终实现了针对44个16-QAM的唯一单芯片实时准最佳SD。 802.11n MIMO。此外,它证明了使这些实现成为可能的高性能软件定义架构,其成本可与专用电路架构相媲美。

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