论文标题
3GPP物理层的硬件实现的设计和性能分析，用于5G单元搜索
Design and Performance Analysis of Hardware Realization of 3GPP Physical Layer for 5G Cell Search
论文作者
论文摘要
5G单元格搜索（CS）是用户设备（UE）每次启动5G节点B（GNB）通信的第一步。在蜂窝网络中，CS是通过GNB广播的同步信号（SS）完成的。 5G第三代合伙项目（3GPP）规范提供了有关GNB的SS生成的详细讨论，但对其盲目搜索的了解有限，并且可以进行检测。与4G不同，5G SS可能不会在载体频率的中心传输，并且UE未知其频率位置。在这项工作中，我们通过设计GNB发射器和UE接收器的物理层（PHY）的3GPP兼容硬件实现来演示5G CS。提出的SS检测探索了一种新型的下采样方法，从而显着降低了复杂性和潜伏期。通过详细的性能分析，我们分析了针对不同单词长度，信噪比（SNR）和下采样因子的拟议方法的功能正确性，计算复杂性和潜伏期的潜伏期。我们演示了基于GNU无线电RFNOC框架和USRP-FPGA平台上的完整CS功能。硬件的3GPP兼容性和演示性增强了拟议工作的商业意义。
5G Cell Search (CS) is the first step for user equipment (UE) to initiate the communication with the 5G node B (gNB) every time it is powered ON. In cellular networks, CS is accomplished via synchronization signals (SS) broadcasted by gNB. 5G 3rd generation partnership project (3GPP) specifications offer a detailed discussion on the SS generation at gNB but a limited understanding of their blind search, and detection is available. Unlike 4G, 5G SS may not be transmitted at the center of carrier frequency and their frequency location is unknown to UE. In this work, we demonstrate the 5G CS by designing 3GPP compatible hardware realization of the physical layer (PHY) of the gNB transmitter and UE receiver. The proposed SS detection explores a novel down-sampling approach resulting in a significant reduction in complexity and latency. Via detailed performance analysis, we analyze the functional correctness, computational complexity, and latency of the proposed approach for different word lengths, signal-to-noise ratio (SNR), and down-sampling factors. We demonstrate the complete CS functionality on GNU Radio-based RFNoC framework and USRP-FPGA platform. The 3GPP compatibility and demonstration on hardware strengthen the commercial significance of the proposed work.
