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-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 …
A deep learning approach for MIMO-NOMA downlink signal detection
C Lin, Q Chang, X Li - Sensors, 2019 - mdpi.com
As a key candidate technique for fifth-generation (5G) mobile communication systems, non-
orthogonal multiple access (NOMA) has attracted considerable attention in the field of …
orthogonal multiple access (NOMA) has attracted considerable attention in the field of …
Deep Learning-Based Detection Algorithm for the Multi-User MIMO-NOMA System
Recently, non-orthogonal multiple access (NOMA) has become prevalent in 5G
communication. However, the traditional successive interference cancellation (SIC) …
communication. However, the traditional successive interference cancellation (SIC) …
Uplink NOMA signal transmission with convolutional neural networks approach
LIN Chuan, C Qing, LI Xianxu - Journal of Systems Engineering …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA), featuring high spectrum efficiency, massive
connectivity and low latency, holds immense potential to be a novel multi-access technique …
connectivity and low latency, holds immense potential to be a novel multi-access technique …
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 …
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 …
A deep convolutional-LSTM neural network for signal detection of downlink NOMA system
B Panda, P Singh - AEU-International Journal of Electronics and …, 2023 - Elsevier
Non-orthogonal multiple access (NOMA) techniques have drawn much attention for massive
connectivity, heterogeneous data traffic with ultra-low latency requirements, and ultra-high …
connectivity, heterogeneous data traffic with ultra-low latency requirements, and ultra-high …
Deep Learning and Power Allocation Analysis in NOMA System
M Gaballa, M Abbod, A Aldallal - 2022 Thirteenth International …, 2022 - ieeexplore.ieee.org
This study shows how the channel estimation based Deep Learning (DL) and a power
allocation method are together employed for multi-user detection in a Power domain Non …
allocation method are together employed for multi-user detection in a Power domain Non …