A comprehensive systematic review on machine learning application in the 5G-RAN architecture: Issues, challenges, and future directions
Abstract The fifth-generation (5G) network is considered a game-changing technology that
promises advanced connectivity for businesses and growth opportunities. To gain a …
promises advanced connectivity for businesses and growth opportunities. To gain a …
Towards intelligent user clustering techniques for non-orthogonal multiple access: a survey
With the increasing user density of wireless networks, various user partitioning techniques or
algorithms segregate users into smaller, more manageable clusters. The benefit of user …
algorithms segregate users into smaller, more manageable clusters. The benefit of user …
Novel PI controller and ANN controllers-Based passive cell balancing for battery management system
The cycle life and efficiency of a battery pack get enhanced by employing an intelligent
supporting system with it called the Battery Management System (BMS). A novel …
supporting system with it called the Battery Management System (BMS). A novel …
Machine learning-empowered beam management for mmwave-NOMA in multi-UAVs networks
We consider a mission-driven multiple unmanned aerial vehicles (multi-UAVs) network with
millimeter-wave (mmWave) transmissions, where a leader UAV (LUAV) communicates with …
millimeter-wave (mmWave) transmissions, where a leader UAV (LUAV) communicates with …
Power allocation and user grouping for NOMA downlink systems
J Li, T Gao, B He, W Zheng, F Lin - Applied Sciences, 2023 - mdpi.com
Non-orthogonal multiple access (NOMA) technology allows multiple users to use the same
time-frequency resource to send signals, which can improve spectral efficiency and …
time-frequency resource to send signals, which can improve spectral efficiency and …
Deep neural network (DNN) for efficient user clustering and power allocation in downlink non-orthogonal multiple access (NOMA) 5G networks
SP Kumaresan, CK Tan, YH Ng - Symmetry, 2021 - mdpi.com
Non-orthogonal multiple access (NOMA) emerges as a promising candidate for 5G, which
radically alters the way users share the spectrum. In the NOMA system, user clustering (UC) …
radically alters the way users share the spectrum. In the NOMA system, user clustering (UC) …
Extreme learning machine (ELM) for fast user clustering in downlink non-orthogonal multiple access (NOMA) 5G networks
SP Kumaresan, CK Tan, YH Ng - IEEE Access, 2021 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has been envisaged as a successor of orthogonal
multiple access (OMA) in the fifth generation (5G) networks and beyond because NOMA has …
multiple access (OMA) in the fifth generation (5G) networks and beyond because NOMA has …
Machine Learning Based Improved User-Pairing and Power Allocation with Imperfect-Successive Interference Cancellation for Downlink NOMA-UAV System
SS Rana, G Verma, OP Sahu - International Journal of Wireless …, 2024 - Springer
Non-orthogonal multiple access-unmanned aerial vehicles (NOMA-UAV) are the enabling
technologies for 5G network in increasing the spectral efficiency as well as enhancing the …
technologies for 5G network in increasing the spectral efficiency as well as enhancing the …
A novel user clustering and efficient resource allocation in non-orthogonal mutliple access for IoT networks
Optimal resource allocation is crucial for 5G and beyond networks, especially when
connecting numerous IoT devices. In this paper, user clustering and power allocation …
connecting numerous IoT devices. In this paper, user clustering and power allocation …
Ergodic Capacity Estimation with Artificial Neural Networks in NOMA-Based Cognitive Radio Systems
The aim of this study is to predict the total ergodic capacity of near users in a cognitive radio
(CR)-based non-orthogonal multiple access (NOMA) system model using the proposed …
(CR)-based non-orthogonal multiple access (NOMA) system model using the proposed …