Wireless powered cognitive NOMA-based IoT relay networks: Performance analysis and deep learning evaluation

TH Vu, TV Nguyen, S Kim - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
… cognitive NOMA-based IoT-relay (C-NOMA-IoT) network to … To tackle this challenge, we
design a deep learning framework … wireless-powered C-NOMA-IoT network, where cellular SNs …

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
… 1) We investigate a time-power EH mechanism in cooperative NOMA networks, where
TS is deployed at an information source and power splitting (PS) is used at relay nodes to …

Reconfigurable intelligent surface-aided cognitive NOMA networks: Performance analysis and deep learning evaluation

TH Vu, TV Nguyen, DB da Costa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… Motivated by the promising combination of CR, NOMA and … of RIS-aided cognitive NOMA
networks as well as to develop a … evaluation of downlink cognitive RIS-assisted NOMA systems …

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

RK Senapati, PJ Tanna - … on Neural Networks and Learning …, 2022 - ieeexplore.ieee.org
… The performance of the FD-NOMA relay sharing method was evaluated considering outage
capacity, ergodic capacity, and outage probability. Simulation outputs demonstrated the FD-…

Power Beacon and NOMA-Assisted Cooperative IoT Networks With Co-Channel Interference: Performance Analysis and Deep Learning Evaluation

AT Le, DH Tran, CB Le, PT Tin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This study investigates a two-way relaying non-orthogonal multiple access (TWR-NOMA)
enabled Internet-of-Things (IoT) network, in which two NOMA users communicate via an IoT …

Heterogeneous ultradense networks with NOMA: System architecture, coordination framework, and performance evaluation

Z Zhang, G Yang, Z Ma, M Xiao… - ieee vehicular …, 2018 - ieeexplore.ieee.org
NOMA transmission to coordinate both NOMA-far and NOMA-near users (ie, macro–small
CoMP I); 2) the MBS coordinates data transmission only for NOMA-… only for NOMA-near users. …

Performance analysis and deep learning design of wireless powered cognitive NOMA IoT short-packet communications with imperfect CSI and SIC

TH Vu, TV Nguyen, TT Nguyen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
… In addition, the works of [29]–[33] only evaluated the performance of the NOMA systems …
may profess limitations on the ability of SPCs in NOMA networks. On the other hand, the works of …

ACO-based Scheme in Edge Learning NOMA Networks for Task-Oriented Communications

CE Garcia, MR Camana, I Koo - IEEE Access, 2024 - ieeexplore.ieee.org
… ACO-Based Scheme in Edge Learning NOMA Networks the advantage from using NOMA,
we evaluate its performance against the maximum ratio combining (MRC) technique in terms …

Learning-assisted user clustering in cell-free massive MIMO-NOMA networks

QN Le, VD Nguyen, OA Dobre… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… In CFmMIMO-NOMA systems, the effect of network … Most existing works on CFmMIMO-NOMA
systems [15]–[17] … optimization problems for both CFmMIMO-NOMA and COmMIMO-NOMA

A NOMA-Based Q-Learning Random Access Method for Machine Type Communications

MV da Silva, RD Souza, H Alves… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
… We propose the use of Q-Learning and NOMA, alongside with a power control scheme, to …
work are: i) evaluation of the beneficial impact in RA of combining Q-Learning with NOMA; ii) a …