NOMA and 5G emerging technologies: A survey on issues and solution techniques
Abstract Power Domain Non-Orthogonal Multiple Access (PD-NOMA) is a potential
technology for the next generation of cellular networks. Compared to classical orthogonal …
technology for the next generation of cellular networks. Compared to classical orthogonal …
A survey of deep learning based NOMA: State of the art, key aspects, open challenges and future trends
SAH Mohsan, Y Li, AV Shvetsov, J Varela-Aldás… - Sensors, 2023 - mdpi.com
Non-Orthogonal Multiple Access (NOMA) has become a promising evolution with the
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …
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 …
Sparse code multiple access: Potentials and challenges
M Rebhi, K Hassan, K Raoof… - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
The massive connectivity is among other unprecedented requirements which are expected
to be satisfied in order to follow the perpetual increase of connected devices in the era of …
to be satisfied in order to follow the perpetual increase of connected devices in the era of …
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 …
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 survey on machine learning techniques for massive MIMO configurations: Application areas, performance limitations and future challenges
PK Gkonis - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled
the support of highly demanding applications, paving the way towards global broadband …
the support of highly demanding applications, paving the way towards global broadband …
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 …
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 for spectrum sensing in cognitive radio
The detection of primary user signals is essential for optimum utilization of a spectrum by
secondary users in cognitive radio (CR). The conventional spectrum sensing schemes have …
secondary users in cognitive radio (CR). The conventional spectrum sensing schemes have …