Single and Multi-Step Forecasting with Univariate and Multivariate Inputs Using TCN-GRU Based on MATLAB

Single and Multi-Step Forecasting with Univariate and Multivariate Inputs Using TCN-GRU Based on MATLAB

Single and multi-step forecasting with univariate and multivariate inputs using TCN-GRU based on MATLAB. TCN (Temporal Convolutional Network) is a time series model based on convolutional neural networks. GRU (Gated Recurrent Unit) is a type of recurrent neural network unit, and the TCN-GRU prediction model combines TCN and GRU. The TCN layer is used for … Read more

Analysis and Implementation of NB-IoT Random Access Process

Analysis and Implementation of NB-IoT Random Access Process

Abstract:The random access process, as an important procedure for achieving UE initial access and uplink synchronization, has been simplified and modified in NB-IoT based on the LTE system. By comparing with the random access process in the LTE system, an in-depth analysis of the currently supported contention-based random access process in NB-IoT is conducted, and … Read more