In this paper, we investigate a joint device activity detection (DAD), channel estimation (CE), and data decoding (DD) algorithm for multiple-input multiple-output (MIMO) massive unsourced random access (URA). Different from the state-of-the-art slotted transmission scheme, the data in the proposed framework is split into only two parts. A portion of the data is coded by compressed sensing (CS) and the rest is low-density-parity-check (LDPC) coded. In addition to being part of the data, information bits in the CS phase also undertake the task of interleaving pattern design and channel estimation (CE). The principle of interleave-division multiple access (IDMA) is exploited to reduce the interference among devices in the LDPC phase. Based on the belief propagation (BP) algorithm, a low-complexity iterative message passing (MP) algorithm is utilized to decode the data embedded in these two phases separately. Moreover, combined with successive interference cancellation (SIC), the proposed joint DAD-CE-DD algorithm is performed to further improve performance by utilizing the belief of each other. Additionally, based on the energy detection (ED) and sliding window protocol (SWP), we develop a collision resolution protocol to handle the codeword collision, a common issue in the URA system. In addition to the complexity reduction, the proposed algorithm exhibits a substantial performance enhancement compared to the state-of-the-art in terms of efficiency and accuracy.
翻译:在本文中,我们调查了一种联合装置活动探测(DAD)、频道估计(CE)和数据解码(DD)算法(DD),用于多投入多输出(MIMO)的大规模无源随机访问(URA)。与最先进的定档传输计划不同,拟议框架中的数据分成了两个部分。部分数据通过压缩遥感(CS)编码,其余是低密度-平衡检查(LDPC)编码。除了数据的一部分外,CS阶段的信息比目(DDD)算法(DD)还承担了交错模式设计和频道估计(CEE)的任务。 跨离动司多重访问(IDMA)原则(IDMA)被用来减少LDPC阶段各装置之间的干扰。基于信仰传播(BP)算法,低兼容性迭代电文传递算法(MP)用来解码这两个阶段中嵌入的数据。此外,除了连续取消干扰(SICED),拟议的DAD-D算法联合算法也承担了互换模式设计和频道估测算法的功能,从而改进了对LDPCR的进度的进度。