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 …
Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …
Things (IoT) applications and services, spanning from recommendation systems and speech …
Wireless network intelligence at the edge
Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …
based machine learning (ML) have transformed every aspect of our lives from face …
A reinforcement learning framework for optimizing age of information in RF-powered communication systems
MA Abd-Elmagid, HS Dhillon… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study a real-time monitoring system in which multiple source nodes are
responsible for sending update packets to a common destination node in order to maintain …
responsible for sending update packets to a common destination node in order to maintain …
Learning-based URLLC-aware task offloading for internet of health things
In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
Age of information aware radio resource management in vehicular networks: A proactive deep reinforcement learning perspective
In this paper, we investigate the problem of age of information (AoI)-aware radio resource
management for expected long-term performance optimization in a Manhattan grid vehicle …
management for expected long-term performance optimization in a Manhattan grid vehicle …
Deep reinforcement learning for minimizing age-of-information in UAV-assisted networks
MA Abd-Elmagid, A Ferdowsi… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are expected to be a key component of the next-
generation wireless systems. Due to their deployment flexibility, UAVs are being considered …
generation wireless systems. Due to their deployment flexibility, UAVs are being considered …
Wireless networked multirobot systems in smart factories
Smart manufacturing based on artificial intelligence and information communication
technology will become the main contributor to the digital economy of the upcoming …
technology will become the main contributor to the digital economy of the upcoming …
Optimized age of information tail for ultra-reliable low-latency communications in vehicular networks
While the notion of age of information (AoI) has recently been proposed for analyzing ultra-
reliable low-latency communications (URLLC), most of the existing works have focused on …
reliable low-latency communications (URLLC), most of the existing works have focused on …
Neural combinatorial deep reinforcement learning for age-optimal joint trajectory and scheduling design in UAV-assisted networks
In this article, an unmanned aerial vehicle (UAV)-assisted wireless network is considered in
which a battery-constrained UAV is assumed to move towards energy-constrained ground …
which a battery-constrained UAV is assumed to move towards energy-constrained ground …