论文标题
在里奇亚式褪色渠道上大量的未包含的随机访问：设计，分析和优化
Massive Unsourced Random Access over Rician Fading Channels: Design, Analysis, and Optimization
论文作者
论文摘要
在本文中，我们研究了具有零星数据流量的第六代（6G）无线网络中的大规模机器类型通信（MMTC）的未包含的随机访问方案。首先，我们建立了一个一般框架，用于基于两层信号编码的大规模未包含随机访问，即外部代码和内部代码。特别是，考虑到MMTC方案中的RICIAN褪色，我们根据接收信号的分布来利用最大似然（ML）方法，设计了一种新颖的CodeWord活动检测算法。然后，我们分析了利用Fisher Information Matrix的拟议代码字活动检测算法的性能，该算法有助于当基本站（BS）天线的数量足够大时，促进了代码字活动矢量的估计误差的近似分布的衍生物。此外，对于外代码，我们提出了一种优化算法来分配消息位和奇偶校验检查位的长度，以在误差概率和外部解码所需的复杂性之间取得平衡。最后，与现有检测算法和固定长度分配方案相比，广泛的模拟结果验证了提出的检测算法和优化长度分配方案的有效性。
In this paper, we investigate an unsourced random access scheme for massive machine-type communications (mMTC) in the sixth-generation (6G) wireless networks with sporadic data traffic. Firstly, we establish a general framework for massive unsourced random access based on a two-layer signal coding, i.e., an outer code and an inner code. In particular, considering Rician fading in the scenario of mMTC, we design a novel codeword activity detection algorithm for the inner code of unsourced random access based on the distribution of received signals by exploiting the maximum likelihood (ML) method. Then, we analyze the performance of the proposed codeword activity detection algorithm exploiting Fisher Information Matrix, which facilitates the derivative of the approximated distribution of the estimation error of the codeword activity vector when the number of base station (BS) antennas is sufficiently large. Furthermore, for the outer code, we propose an optimization algorithm to allocate the lengths of message bits and parity check bits, so as to strike a balance between the error probability and the complexity required for outer decoding. Finally, extensive simulation results validate the effectiveness of the proposed detection algorithm and the optimized length allocation scheme compared with an existing detection algorithm and a fixed length allocation scheme.
