This dataset consists of four datasets. LWNN train and LWNN test data sets consist of synthetically generated 64-OFDM carrier-wise QAM signals. Each signal consists of 1000 I-Q samples. RNN-BC-train and RNN-BC-test datasets consist of modulation (QAM64, QAM32, QAM16, QAM8, QAM4) in each carrier allocated by a bit loading algorithm based on a synthetically generated multipath channel response.
Image : Image was made by me for other International Contest (held by some Medical Institute,USA in the year 2021), 'An intuitive of electromagnetic radiation flowing over epithelial tissue'.
This is an open-access page. All the content can be freely downloaded after sign-up. This webpage contains datasets and models, which are in support of my Research claim/discovery and also used in my Invited/Keynote/Featured/Speaker Presentations.
Exact BER Analysis for Two-user NOMA uUing QAM with Arbitrary Modulation Order
