This article introduces a novel framework of multi-user detection (MUD) for K-repetition grant-free non-orthogonal multiple access (K-GF-NOMA), called $\alpha$ iterative interference cancellation diversity slotted aloha ($\alpha$-IIC-DSA). The proposed framework targets at a simple yet effective decoding process where the AP can intelligently exploit the correlation among signals received at different resource blocks (RBs) so as to generate required multi-access interference (MAI) for realizing the signal-interference cancellation (SIC) based MUD. By keeping all operation and hardware complexity at the access point (AP), the proposed framework is applicable to the scenarios with random and uncoordinated access by numerous miniature mMTC devices (MTCDs). Numerical experiments are conducted to gain deep understanding on the performance of launching the proposed framework for K-GF-NOMA.

翻译：本文提出了一种用于K次重复免授权非正交多址接入(K-GF-NOMA)的多用户检测(MUD)新框架，命名为$\alpha$迭代干扰消除分集时隙ALOHA($\alpha$-IIC-DSA)。该框架旨在实现简单而高效的解码过程，使接入点(AP)能够智能利用不同资源块(RB)接收信号之间的相关性，从而生成所需的多址干扰(MAI)，以实现基于信号干扰消除(SIC)的MUD。通过将所有操作和硬件复杂性集中于接入点，所提框架适用于大量微型mMTC设备(MTCD)随机非协调接入的场景。本文通过数值实验深入分析了所提框架在K-GF-NOMA中的性能表现。