An Efficient ToA Estimation Technique Based on Phase Correction for 5G mMTC system

Xining Yang, Jinhong Yuan, Yiqing Zhou, Jinglin Shi
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Abstract

In 5G mMTC system, massive user equipment (UE) access network simultaneously by contending a common RACH resource. It is thus of significant importance for network to estimate the time-of-arrival (ToA) of each UE efficiently based on preamble allocated for Physical Random Access Channel(PRACH) so that UE can achieve uplink synchronization with network reliably. In this paper, we focus on improving the accuracy and performance of ToA estimation. Considering the phase ambiguity problem due to varied propagation delay defined as ToA during detection of preamble signals generated by UE, we propose a ToA estimation technique to compensate phase transition with a set of pre-determined phase corrector vectors(PCV) associated with all possible ToA values. Furthermore, we optimize PCVs by build a reduced and essential PCV candidate as a smaller search space for more efficient phase recover and ToA estimation. Simulation results show that the performance of proposed method and its variants can fulfill the requirements of 3GPP standard with lower computational complexity.
基于相位校正的5G mMTC系统ToA估计方法
在5G mMTC系统中,大量用户设备(UE)通过争夺公共RACH资源同时接入网络。因此,如何根据分配给物理随机接入信道(PRACH)的前导有效地估计各终端的到达时间(ToA),使终端与网络可靠地实现上行同步,对于网络来说具有重要意义。本文主要研究如何提高ToA估计的精度和性能。针对UE产生的前导信号在检测过程中由于ToA定义的传播延迟变化而导致的相位模糊问题,提出了一种ToA估计技术,通过与所有可能的ToA值相关联的一组预先确定的相位校正向量(PCV)来补偿相变。此外,我们通过构建一个简化和基本的PCV候选作为更小的搜索空间来优化PCV,以实现更有效的相位恢复和ToA估计。仿真结果表明,该方法及其变体的性能满足3GPP标准的要求,且计算复杂度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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