With the emerging of the massive Machine Type Communication usage scenario, the legacy Random Access (RA) procedures need to be fully renewed to meet the huge number of accesses and the energy-constrained device requirements. In this context, the strategy of transmitting tagged preambles as access requests is gaining importance. In fact, it can reduce the number of signaling transmissions per access attempt, the overall number of phases in the access procedure, and, accordingly, energy consumption per device. However, the effectiveness of detection strategies of tagged preambles by the gNB receiver plays a fundamental role on the RA procedure performance. Up to now, the performance of these advanced detection procedures has been obtained only by running a large number of simulations that are typically highly time-consuming. To the best of our knowledge, this paper presents the first analytical model to analyze the correct detection of both the preamble and the tag transmitted by each device in the presence of interference, due to other preambles and tags, and of noise. The high accuracy of the proposed model is verified through simulations. In addition, we show how our analytical study can be a good tool to investigate and derive innovative detection strategies.

中文翻译：

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mMTC 场景下随机接入过程中标记前导码传输的建模与分析

随着海量机器类型通信使用场景的出现，传统的随机访问（RA）程序需要全面更新，以满足大量访问和能量受限的设备需求。在这种情况下，将标记前导作为访问请求传输的策略变得越来越重要。事实上，它可以减少每次接入尝试的信令传输次数、接入过程中的总阶段数，以及相应的每个设备的能耗。然而，gNB 接收器对标记前导码的检测策略的有效性对 RA 过程性能起着根本性的作用。到目前为止，这些高级检测程序的性能只能通过运行大量通常非常耗时的模拟来获得。据我们所知，本文提出了第一个分析模型，用于分析在存在干扰（由于其他前导码和标签以及噪声）的情况下每个设备传输的前导码和标签的正确检测。通过仿真验证了所提出模型的高精度。此外，我们展示了我们的分析研究如何成为调查和推导出创新检测策略的好工具。