The DeepMIMO dataset is a public dataset for large-scale multiple-input multiple-output (MIMO) systems used in wireless communication and machine-learning research. The DeepMIMO dataset provides large-scale MIMO data collected in various environments, such as urban and rural scenario environments, and...
The main script for generating the following figure.This script adopts the v2 version of the publicly available parameterizedDeepMIMO datasetpublished for deep learning applications in mmWave and massive MIMO systems. The'O1_60'scenario is adopted for this figure. ...
This study presents a comparative analysis of various deep learning (DL) methods for multi-input and multi-output (MIMO) time-series forecasting of stock prices. The analysis is conducted on a dataset comprising the stock price of Bitcoin. The dataset consists of 2950 rows from De...
The EM emulator model needs to be able to predict structures that are not present in the dataset, such as those that can outperform structures present in the training data set. This is necessary for generalized inverse synthesis method. Figure 4 demonstrates this generalization ability as the inve...
The classification accuracy on the dataset have been increased to up to 79% with the suitable ML algorithms. Additionally, a SIR improvement of up to 1 dB has been achieved through the selection of the most suitable wireless communications network for several use cases under different smart grid...
The multiple‐input multiple‐output (MIMO) radar sensor uses a frequency‐modulated continuous wave (FMCW) chirp at the V‐band (40–75 GHz) and synthesises a rectilinear two‐dimensional planar aperture. The authors presented several reconstructed 3D images imitating real‐world scenarios using ...
SM-CsiNet+ and PM-CsiNet+:来自论文Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis An open online real modulated dataset:来自论文Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype ...
The paper then describes a specific dataset for investigating beam-selection techniques on vehicle-to-infrastructure using millimeter waves. Experiments using deep learning in classification, regression and reinforcement learning problems illustrate the use of datasets generated with the proposed methodology. ...
The works mentioned above are all for a specific multiuser scenario, such as multiuser SDMA16, NOMA19, MIMO15 or MISO18. Different from them, in this work, we will study DL-based signal processing and detection for an uncoded multiuser OFDM system. In this system, there are one or more ...
Massive multiple-input multiple-output (MIMO) systems are a main enabler of the excessive throughput requirements in 5G and future generation wireless netw