Machine/deep learning based estimation and detection in OFDM communication systems with various channel imperfections
A Singh, S Saha - Wireless Networks, 2022 - Springer
Orthogonal frequency division multiplexing (OFDM), one of the most dominant technology
for fifth-generation (5G) wireless communication systems offers a high data rate with better …
for fifth-generation (5G) wireless communication systems offers a high data rate with better …
Deep learning-based joint detection for OFDM-NOMA scheme
Non-orthogonal multiple access (NOMA) technique has drawn much attention in recent
years. It has also been a promising technique for the fifth-generation (5G) wireless …
years. It has also been a promising technique for the fifth-generation (5G) wireless …
Uplink OFDM based NOMA plagued with carrier frequency offset errors
Non-orthogonal multiple access (NOMA) scheme has been recognized as a promising
candidate for future generation networks. In order to achieve a superior spectral efficiency …
candidate for future generation networks. In order to achieve a superior spectral efficiency …
HyDNN: A Hybrid Deep Learning Framework Based Multiuser Uplink Channel Estimation and Signal Detection for NOMA-OFDM System
Deep learning (DL) techniques can significantly improve successive interference
cancellation (SIC) performance for the non-orthogonal multiple access (NOMA) system. The …
cancellation (SIC) performance for the non-orthogonal multiple access (NOMA) system. The …
Deep learning-based flexible joint channel estimation and signal detection of multi-user OFDM-NOMA
This paper proposes a deep learning (DL)-based joint channel estimation and signal
detection in multi-user orthogonal-frequency division multiplexing-non-orthogonal multiple …
detection in multi-user orthogonal-frequency division multiplexing-non-orthogonal multiple …
Convolutional fuzzy neural network based symbol detection in MIMO NOMA systems
MN Seyman - Journal of Electrical Engineering, 2023 - sciendo.com
One of the most important tasks to be considered in wireless communication systems,
especially in multi-carrier systems such as Multi-Input Multi Output Non-Orthogonal (MIMO …
especially in multi-carrier systems such as Multi-Input Multi Output Non-Orthogonal (MIMO …
Weighted least square based iterative channel estimation for uplink NOMA-OFDM systems
MB Balogun, F Takawira… - 2019 13th international …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) scheme has been recognized as a promising
candidate for future generation networks. In order to achieve a superior spectral efficiency …
candidate for future generation networks. In order to achieve a superior spectral efficiency …
[HTML][HTML] Multi-user joint detection using bi-directional deep neural network framework in NOMA-OFDM system
Non-orthogonal multiple access (NOMA) has great potential to implement the fifth-
generation (5G) requirements of wireless communication. For a NOMA traditional detection …
generation (5G) requirements of wireless communication. For a NOMA traditional detection …
Enhanced OFDM-NOMA for next generation wireless communication: a study of PAPR reduction and sensitivity to CFO and estimation errors
Abstract Orthogonal Frequency Division Multiplexing (OFDM) based on Non-Orthogonal
Multiple Access (NOMA) has been previously studied to fulfil the demands of high spectral …
Multiple Access (NOMA) has been previously studied to fulfil the demands of high spectral …
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 …
(NOMA) receiver is investigated considering channel estimation error. The decoding of the …