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A User-Independent Successive Interference Cancellation Based Coding Scheme for the Unsourced Random Access Gaussian Channel
IEEE Transactions on Communications ( IF 8.3 ) Pub Date : 2019-12-01 , DOI: 10.1109/tcomm.2019.2940216
Avinash Vem , Krishna R. Narayanan , Jean-Francois Chamberland , Jun Cheng

This work introduces a novel coding paradigm for the unsourced multiple access channel model. The envisioned framework builds on a select few key components. First, the transmission period is partitioned into a sequence of sub-blocks, thereby yielding a slotted structure. Second, messages are split into two parts. A portion of the data is encoded using spreading sequences or codewords that are designed to be recovered by a compressed sensing type decoder. In addition to being an integral part of the data, the information bits associated with this first part also determine the parameters of the low-density parity check code employed during the subsequent stages of the communication process. The other portion of the message is encoded using the aforementioned low-density parity check code. The data embedded in this latter stage is decoded using a joint message passing algorithm designed for the $T$ -user binary input real adder channel. Finally, devices repeat their codeword in multiple sub-blocks, with the transmission pattern being a deterministic function of message content independent of the identity of the device. When combined with successive interference cancellation, the ensuing communication infrastructure offers significant performance improvement compared to coding schemes recently published in the literature for unsourced random access.

中文翻译:

一种无源随机接入高斯信道的基于用户独立连续干扰消除的编码方案

这项工作为无源多址信道模型引入了一种新颖的编码范例。设想的框架建立在选定的几个关键组件上。首先,传输周期被划分为一系列子块,从而产生时隙结构。其次,消息分为两部分。数据的一部分使用扩展序列或码字进行编码,这些扩展序列或码字被设计为由压缩感测类型解码器恢复。除了作为数据的组成部分之外,与该第一部分相关联的信息位还确定在通信过程的后续阶段期间采用的低密度奇偶校验码的参数。消息的另一部分使用上述低密度奇偶校验码进行编码。嵌入在后一阶段的数据使用为 $T$ -user 二进制输入实数加法器通道设计的联合消息传递算法进行解码。最后,设备在多个子块中重复它们的码字,传输模式是消息内容的确定性函数,与设备的身份无关。当与连续干扰消除相结合时,与最近在文献中发布的无源随机访问编码方案相比,随后的通信基础设施提供了显着的性能改进。
更新日期:2019-12-01
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