This article considers the massive MIMO unsourced random access problem on a quasi-static Rayleigh fading channel. Given a fixed message length and a prescribed number of channel uses, the objective is to construct a coding scheme that minimizes the energy-per-bit subject to a fixed probability of error. The proposed scheme differs from other state-of-the-art schemes in that it blends activity detection, single-user coding, pilot-aided and temporary decisions-aided iterative channel estimation and decoding, minimum-mean squared error (MMSE) estimation, and successive interference cancellation (SIC). We show that an appropriate combination of these ideas can substantially outperform state-of-the-art coding schemes when the number of active users is more than 100, making this the best performing scheme known for this regime.

翻译：本条考虑了在准静态Rayleigh 淡化的频道上大规模IMIMO无源随机访问的问题。 鉴于固定电文长度和指定的频道使用量,目标是构建一个编码计划,在固定误差概率范围内最大限度地减少能源/位数。 拟议的办法与其他最先进的办法不同,因为它混合了活动探测、单一用户编码、试点辅助和临时决策辅助的迭代频道估计和解码、最小值平方差估计以及连续的干扰取消(SIC ) 。 我们表明,当活跃用户超过100人时,这些想法的适当组合可以大大超过编程计划,从而成为这个制度已知的最佳执行方案。