Deep learning-based MIMO and NOMA energy conservation and sum data rate management system
Future communication networks will require innovative ways to meet the rising expectations
for huge connection, low latency, and great reliability. A promising approach to increase …
for huge connection, low latency, and great reliability. A promising approach to increase …
Deep learning-based sum data rate and energy efficiency optimization for MIMO-NOMA systems
The increasing demands for massive connectivity, low latency, and high reliability of future
communication networks require new techniques. Multiple-input-multiple-output non …
communication networks require new techniques. Multiple-input-multiple-output non …
Analysis of NOMA for future cellular communication
NOMA is the emerging and most suitable wireless technology for next generation
communication system, due to its inherent capability to meet diverse exigency. The …
communication system, due to its inherent capability to meet diverse exigency. The …
A survey of NOMA: Current status and open research challenges
B Makki, K Chitti, A Behravan… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has been considered as a study-item in 3GPP for
5G new radio (NR). However, it was decided not to continue with it as a work-item, and to …
5G new radio (NR). However, it was decided not to continue with it as a work-item, and to …
Deep Learning and Power Allocation Analysis in NOMA System
M Gaballa, M Abbod, A Aldallal - 2022 Thirteenth International …, 2022 - ieeexplore.ieee.org
This study shows how the channel estimation based Deep Learning (DL) and a power
allocation method are together employed for multi-user detection in a Power domain Non …
allocation method are together employed for multi-user detection in a Power domain Non …
A survey of NOMA for 5G: Implementation schemes and energy efficiency
J Mestoui, M El Ghzaoui - WITS 2020: Proceedings of the 6th International …, 2022 - Springer
Abstract The 5th generation (5G) Network technology must meet various stringent
necessities such as high spectral efficiency, low energy consumption and immense …
necessities such as high spectral efficiency, low energy consumption and immense …
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 …
Throughput maximization and reliable wireless communication in NOMA using chained fog structure and weighted energy efficiency power allocation approach
G Supraja, V Jeyalakshmi - Computer Communications, 2023 - Elsevier
Novel radio access strategies must be developed to support an unprecedented number of
connected devices to increase radio spectral efficiency of 5G and outside, and non …
connected devices to increase radio spectral efficiency of 5G and outside, and non …
Energy-efficient power allocation in downlink multi-cell multi-carrier NOMA: Special deep neural network framework
Energy-efficient resource allocation for multi-cell multi-carrier non-orthogonal multiple
access (MCMC-NOMA) is a challenging task due to the interference and other related …
access (MCMC-NOMA) is a challenging task due to the interference and other related …
Deep learning based power allocation schemes in NOMA systems: A review
Achieving significant performance gains both in terms of system throughput and massive
connectivity, non-orthogonal multiple access (NOMA) has been considered as very …
connectivity, non-orthogonal multiple access (NOMA) has been considered as very …