Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G
The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …
A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges
In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …
different communication environments are expected to be satisfied. As a new evolution …
A survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks
O Maraqa, AS Rajasekaran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The ambitious high data-rate applications in the envisioned future beyond fifth-generation
(B5G) wireless networks require new solutions, including the advent of more advanced …
(B5G) wireless networks require new solutions, including the advent of more advanced …
Grant-free non-orthogonal multiple access for IoT: A survey
MB Shahab, R Abbas… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Massive machine-type communications (mMTC) is one of the main three focus areas in the
5th generation (5G) of wireless communications technologies to enable connectivity of a …
5th generation (5G) of wireless communications technologies to enable connectivity of a …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
Flight delay prediction based on aviation big data and machine learning
Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …
business. Recent studies have been focused on applying machine learning methods to …
Online deep reinforcement learning for computation offloading in blockchain-empowered mobile edge computing
Offloading computation-intensive tasks (eg, blockchain consensus processes and data
processing tasks) to the edge/cloud is a promising solution for blockchain-empowered …
processing tasks) to the edge/cloud is a promising solution for blockchain-empowered …
LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
Fast beamforming design via deep learning
H Huang, Y Peng, J Yang, W Xia… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Beamforming is considered as one of the most important techniques for designing advanced
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …
Cooperative wireless-powered NOMA relaying for B5G IoT networks with hardware impairments and channel estimation errors
Massive connectivity and limited energy are main challenges for the beyond 5G (B5G)-
enabled massive Internet of Things (IoT) to maintain diversified Qualify of Service (QoS) of …
enabled massive Internet of Things (IoT) to maintain diversified Qualify of Service (QoS) of …