论文标题
与短包传输的无赠款大规模随机访问的错误率分析
Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission
论文作者
论文摘要
无赠款的大规模随机访问（RA）是一项有前途的协议，用于支持5G和超越网络中的大规模机器类型通信（MMTC）方案。在本文中，我们专注于无赠款大规模RA中的错误率分析，这对于实际部署至关重要，但尚未得到很好的研究。我们考虑一个两阶段的结构，具有用于活动检测和通道估计的试验传输阶段，然后是带有编码数据符号的数据传输阶段。考虑到短包传输的特征，我们分析了有限的区块长度制度中的块错误率（BLER），以表征数据传输性能。该分析涉及表征活性检测和通道估计误差以及应用随机矩阵理论（RMT）来分析后处理信号 - 噪声比（SNR）的分布。作为案例研究，进一步简化了衍生的BLER表达以优化试验长度。仿真结果验证了我们的分析，并证明了其在试验长度优化中的有效性。
Grant-free massive random access (RA) is a promising protocol to support the massive machine-type communications (mMTC) scenario in 5G and beyond networks. In this paper, we focus on the error rate analysis in grant-free massive RA, which is critical for practical deployment but has not been well studied. We consider a two-phase frame structure, with a pilot transmission phase for activity detection and channel estimation, followed by a data transmission phase with coded data symbols. Considering the characteristics of short-packet transmission, we analyze the block error rate (BLER) in the finite blocklength regime to characterize the data transmission performance. The analysis involves characterizing the activity detection and channel estimation errors as well as applying the random matrix theory (RMT) to analyze the distribution of the post-processing signal-to-noise ratio (SNR). As a case study, the derived BLER expression is further simplified to optimize the pilot length. Simulation results verify our analysis and demonstrate its effectiveness in pilot length optimization.
