This repository includes the source code of the LS-DNN based channel estimators proposed in "Enhancing Least Square Channel Estimation Using Deep Learning" paper that is published in the proceedings ...

Also equalization techniques like Adaptive equalizer - LMS, CMA equalizer and MLSE are analyzed. The implementation is done initially using MATLAB software and then using GNU Radio. Deep learning is ...

Deep Learning has rendered overwhelming potential to support the rising interest of high dependability and maximum capacity wireless communication systems. Channel estimation is a crucial step in a ...

This paper proposes a deep learning-based channel estimation method for orthogonal frequency-division multiplexing (OFDM) systems. The existing OFDM receiver has low estimation accuracy when ...

This blog drills further into the discussion of applying deep learning to wireless and radar apps by exploring how channel estimation is performed in 5G systems.

In this article, we applied Deep Learning on LTE-A uplink channel estimation system. The work involved creating of two SC-FDMA databases for training and for test, based on three types of channel ...

Citation: Wallot S and Mønster D (2018) Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in ...