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 …
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 …
Deep learning for signal detection in non-orthogonal multiple access wireless systems
J Thompson - 2019 UK/China Emerging Technologies …, 2019 - ieeexplore.ieee.org
This paper presents an initial investigation of deep learning (DL) for multi-user detection in
non-orthogonal multiple access (NOMA) wireless systems. In NOMA systems, the …
non-orthogonal multiple access (NOMA) wireless systems. In NOMA systems, the …
Deep learning empowered semi-blind joint detection in cooperative NOMA
In this paper, we propose a multi-user symbol detection in cooperative-non-orthogonal
multiple access (C-NOMA) schemes via deep learning (DL). We use a DL-based detection …
multiple access (C-NOMA) schemes via deep learning (DL). We use a DL-based detection …
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 …
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 …
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 …
Pilot-assisted SIMO-NOMA signal detection with learnable successive interference cancellation
In this letter, we propose a pilot-assisted receiver scheme based on learnable successive
interference cancellation (PA-LSIC) for uplink single-input multiple-output (SIMO) non …
interference cancellation (PA-LSIC) for uplink single-input multiple-output (SIMO) non …
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 …
DeepMuD: Multi-user detection for uplink grant-free NOMA IoT networks via deep learning
In this letter, we propose a deep learning-aided multi-user detection (DeepMuD) in uplink
non-orthogonal multiple access (NOMA) to empower the massive machine-type …
non-orthogonal multiple access (NOMA) to empower the massive machine-type …