Analysis of NOMA-OFDM 5G wireless system using deep neural network

S Pandya, MA Wakchaure… - The Journal of …, 2022 - journals.sagepub.com
In this work, a multiple user deep neural network-based non-orthogonal multiple access
(NOMA) receiver is investigated considering channel estimation error. The decoding of the …

Low complexity successive interference cancellation receiver for DCT-NOMA-OFDM system with CFO

S Anand, P Kumar - Physical Communication, 2023 - Elsevier
The integration of orthogonal frequency division multiplexing (OFDM) with non-orthogonal
multiple access (NOMA) for multiplexing of multiple users has been previously studied for …

Carrier frequency offset-based OFDM synchronization technology

L Yuan, P Mu, A Zhou - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
To meet the demand of high speed and reliability, the key performance of mobile
communication has higher requirements for different application scenarios. According to the …

Carrier Frequency Offset Estimation for OCDM With Null Subchirps

S Guo, Y Wang, X Ma - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
In this letter, we investigate the carrier frequency offset (CFO) estimation problem in
orthogonal chirp division multiplexing (OCDM) systems. We propose a transmission scheme …

Deep learning assisted technology for MIMO OFDM 5G application

S Nandi, A Nandi, NN Pathak - Proceedings of the International …, 2022 - Springer
Abstract 5G network complexity has come to a noticeable point with the help of the deep
learning method. Deep learning also can optimize the performance parameter values and …

Low complexity joint equalization and interference compensation in fractional Fourier domain for DCT-OFDM system with CFO

VK Trivedi, P Kumar - Digital Signal Processing, 2020 - Elsevier
Orthogonal frequency division multiplexing (OFDM) systems based on discrete fractional
Fourier transform (DFRFT) chirp basis replacing the complex exponential basis of discrete …