[HTML][HTML] 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 …

[HTML][HTML] Leveraging computational intelligence techniques for defensive deception: a review, recent advances, open problems and future directions

PV Mohan, S Dixit, A Gyaneshwar, U Chadha… - Sensors, 2022 - mdpi.com
With information systems worldwide being attacked daily, analogies from traditional warfare
are apt, and deception tactics have historically proven effective as both a strategy and a …

Cooperative NOMA-enabled SWIPT IoT networks with imperfect SIC: Performance analysis and deep learning evaluation

TH Vu, TV Nguyen, S Kim - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In this article, we propose a cooperative nonorthogonal multiple access (NOMA)-enabled
simultaneous wireless information and power transfer (SWIPT) Internet of Things (IoT) …

Deep learning enhanced NOMA system: A survey on future scope and challenges

V Andiappan, V Ponnusamy - Wireless Personal Communications, 2022 - Springer
As a key important approach for next generation communication systems, Non-Orthogonal
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …

Deep learning-based NOMA system for enhancement of 5G networks: A review

RK Senapati, PJ Tanna - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
The fresh and rising demands for high-reliability and ultrahigh-capacity wireless
communication have led to extensive research into 5G communications. The wide progress …

[HTML][HTML] A survey on non-orthogonal multiple access: From the perspective of spectral efficiency and energy efficiency

HV Nguyen, HM Kim, GM Kang, KH Nguyen, VP Bui… - Energies, 2020 - mdpi.com
Non-orthogonal multiple access (NOMA) is a promising technology for next-generation
wireless networks with emerging demands on low latency, high throughput, and massive …

A study on deep learning for latency constraint applications in beyond 5G wireless systems

S Sritharan, H Weligampola, H Gacanin - IEEE Access, 2020 - ieeexplore.ieee.org
The fifth generation (5G) of wireless communications has led to many advancements in
technologies such as large and distributed antenna arrays, ultra-dense networks, software …

Deep learning based decoding for polar codes in Markov Gaussian memory impulse noise channels

SM Tseng, WC Hsu, DF Tseng - Wireless Personal Communications, 2022 - Springer
In previous papers, decoding schemes which did not use machine learning considered
additive white Gaussian noise or memoryless impulse noise. The decoding methods …

Impact of node mobility on the DL based uplink and downlink MIMO-NOMA network

R Shankar, BP Chaudhary, H Mehraj, S Gupta… - International Journal of …, 2023 - Springer
This study analyses the performance of the stacked long short-term memory (S-LSTM)-
based non-orthogonal multiple access (NOMA) system under independent and non …

Cross-layer codebook allocation for uplink SCMA and PDNOMA-SCMA video transmission systems and a deep learning-based approach

SM Tseng, WY Chen - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Sparse code multiple access (SCMA) and power-domain nonorthogonal multiple access
(PDNOMA) have been considered for use with fifth-generation (5G) and beyond mobile …