An extreme learning machine (ELM)-based receiver for multi-user massive MIMO systems is introduced. The proposed ELM combining method, defined in the complex plane, is designed to directly perform MIMO combining processing to the received uplink signals, based on the adoption of the pilot symbols as training data. Numerical results show that by appropriately setting the number of hidden neurons, the ELM achieves higher spectral efficiency and smaller BER, with fewer floating-point operations than the conventional linear MIMO receivers, namely the minimum mean squared error and maximum ratio receivers.

中文翻译：

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用于多用户大规模 MIMO 系统的基于极限学习机的接收器


介绍了一种用于多用户大规模 MIMO 系统的基于极限学习机 (ELM) 的接收器。所提出的ELM组合方法在复平面中定义，旨在基于采用导频符号作为训练数据，直接对接收的上行链路信号执行MIMO组合处理。数值结果表明，通过适当设置隐藏神经元的数量，ELM实现了更高的频谱效率和更小的误码率，并且比传统线性MIMO接收器更少的浮点运算，即最小均方误差和最大比率接收器。