Online task scheduling and resource allocation for intelligent NOMA-based industrial Internet of Things
Fog computing (FC) has the potential to process computation-intensive tasks in Industrial
Internet of Things (IIoT) systems. In parallel with the development of FC, non-orthogonal …
Internet of Things (IIoT) systems. In parallel with the development of FC, non-orthogonal …
Deep reinforcement learning-based multidimensional resource management for energy harvesting cognitive NOMA communications
The combination of energy harvesting (EH), cognitive radio (CR), and non-orthogonal
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …
Multi-agent DRL approach for energy-efficient resource allocation in URLLC-enabled grant-free NOMA systems
Grant-free non-orthogonal multiple access (GF-NOMA) has emerged as a promising access
technology for the fifth generation and beyond wireless networks that enable ultra-reliable …
technology for the fifth generation and beyond wireless networks that enable ultra-reliable …
Machine learning for user partitioning and phase shifters design in RIS-aided NOMA networks
A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …
Wireless powered cognitive NOMA-based IoT relay networks: Performance analysis and deep learning evaluation
In this article, we study novel wireless powered cognitive nonorthogonal multiple access
(NOMA)-based Internet-of-Things (IoT) relay networks to improve the performance of a cell …
(NOMA)-based Internet-of-Things (IoT) relay networks to improve the performance of a cell …
Resource allocation for hybrid NOMA MEC offloading
Non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) have been
recognized as promising technologies for the beyond fifth generation networks to achieve …
recognized as promising technologies for the beyond fifth generation networks to achieve …
Joint power allocation and channel assignment for NOMA with deep reinforcement learning
Non-orthogonal multiple access (NOMA) has been considered as a significant candidate
technique for the next generation wireless communication to support high throughput and …
technique for the next generation wireless communication to support high throughput and …
DeepNOMA: A unified framework for NOMA using deep multi-task learning
Non-orthogonal multiple access (NOMA) will provide massive connectivity for future Internet
of Things. However, the intrinsic non-orthogonality in NOMA makes it non-trivial to approach …
of Things. However, the intrinsic non-orthogonality in NOMA makes it non-trivial to approach …
NOMA aided narrowband IoT for machine type communications with user clustering
To support machine type communications (MTCs) in next generation mobile networks,
Narrowband-Internet of Things (NB-IoT) has been released by the third generation …
Narrowband-Internet of Things (NB-IoT) has been released by the third generation …
Online computation offloading in NOMA-based multi-access edge computing: A deep reinforcement learning approach
One of the missions of fifth generation (5G) wireless networks is to provide massive
connectivity of the fast growing number of Internet of Things (IoT) devices. To satisfy this …
connectivity of the fast growing number of Internet of Things (IoT) devices. To satisfy this …