Unsourced Random Access Over Fading Channels via Data Repetition, Permutation, and Scrambling
Unsourced Random Access Over Fading Channels via Data Repetition, Permutation, and Scrambling
复制标题
通过数据重复、排列和加扰实现衰落信道上的无源随机接入
DOI：
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发表时间：
2022
影响因子：
8.3
通讯作者：
D. Truhachev
中科院分区：
文献类型：
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作者：
Ehsan Nassaji;Murwan Bashir;D. Truhachev
我们专注于一个无源随机接入（URA）系统的通信衰落信道中的每个数据包的有效载荷进行编码纠错，重复，置换，和加扰。每个分组还配备有用于信道估计和用于有效载荷编码的置换和加扰序列的检测的前导码。我们提出了一种算法来解决多址前导传输，基于近似消息传递（AMP），这是能够支持高数量的活跃用户，并实现低概率的误检。我们还开发了一种并行干扰消除技术，用于有效载荷接收，迭代地改进信道估计，并试图通过选择性纠错解码来最小化用户数据的均方误差（MSE）。最后，我们得出了详细的系统性能分析，密切匹配所获得的数值结果。我们证明，所提出的系统可以增加一倍以上的活跃用户的数量，支持国家的最先进的系统。大的增益方面的最小所需的信号噪声比（SNR）的也证明了广泛的活跃用户数。
We focus on an unsourced random access (URA) system for communication over fading channels where the payload of each packet is encoded for error-correction, repeated, permuted, and scrambled. Each packet is also equipped with a preamble that is used for channel estimation and detection of permutation and scrambling sequences utilized for payload encoding. We propose an algorithm to resolve multiple-access preamble transmission, based on the approximate message-passing (AMP), that is capable to support high numbers of active users and achieve low probabilities of miss-detection. We also develop a parallel interference cancellation technique for payload reception that iteratively refines the channel estimates and attempts to minimize the mean squared error (MSE) of the users’ data via selective error-correction decoding. Finally, we derive a detailed system performance analysis that closely matches the obtained numerical results. We demonstrate that the presented system can more than double the number of active users, supported by the state-of-the-art systems. Large gains in terms of the minimal required signal-to-noise ratios (SNR)s are also demonstrated for a wide range of active user numbers.