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 symbol detection for NOMA
Non-orthogonal multiple access is one of the most important candidates for next-generation
communication systems called 5G and beyond. NOMA provides superiority to multiple …
communication systems called 5G and beyond. NOMA provides superiority to 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 …
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 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 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 …
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 …
Deep learning-based blind multiple user detection for grant-free SCMA and MUSA systems
Massive machine-type communications (mMTC) in 6G requires supporting a massive
number of devices with limited resources, posing challenges in efficient random access …
number of devices with limited resources, posing challenges in efficient random access …
Advanced NOMA receivers from a unified variational inference perspective
X Meng, L Zhang, C Wang, L Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) on shared resources has been identified as a
promising technology in 5G to improve resource efficiency and support massive access in all …
promising technology in 5G to improve resource efficiency and support massive access in all …
Detection for 5G-NOMA: An online adaptive machine learning approach
Non-orthogonal multiple access (NOMA) has emerged as a promising radio access
technique for enabling the performance enhancements promised by the fifth-generation (5G) …
technique for enabling the performance enhancements promised by the fifth-generation (5G) …