Unmanned-surface-vehicle-aided maritime data collection using deep reinforcement learning
Employing unmanned surface vehicles (USVs) as marine data collectors is promising for
large-scale environment sensing in remote ocean monitoring network. In this article, we …
large-scale environment sensing in remote ocean monitoring network. In this article, we …
Reconfigurable intelligent surface-aided cognitive NOMA networks: Performance analysis and deep learning evaluation
This paper investigates reconfigurable intelligent surface (RIS)-aided cognitive non-
orthogonal multiple access (NOMA) systems, where an RIS is deployed to serve two users …
orthogonal multiple access (NOMA) systems, where an RIS is deployed to serve two users …
Blockchain and AI enabled configurable reflection resource allocation for IRS-aided coexisting drone-terrestrial networks
Q Pan, J Wu, AK Bashir, J Li… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
With the capability of establishing line-of-sight (LoS) links for devices, drones are generally
utilized as aerial base stations to construct coexisting drone-terrestrial networks (CDTNs) for …
utilized as aerial base stations to construct coexisting drone-terrestrial networks (CDTNs) for …
Collaborative data acquisition for UAV-aided IoTs based on time-balancing scheduling
The emergence of the Internet of Things (IoT) has revolutionized various domains by
enabling seamless connectivity and real-time data exchange between connected IoT …
enabling seamless connectivity and real-time data exchange between connected IoT …
Distributed reinforcement learning for age of information minimization in real-time IoT systems
In this paper, the problem of minimizing the weighted sum of age of information (AoI) and
total energy consumption of Internet of Things (IoT) devices is studied. In the considered …
total energy consumption of Internet of Things (IoT) devices is studied. In the considered …
UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an
emerging concept that effectuates the foreknowledge of innovative technologies. With the …
emerging concept that effectuates the foreknowledge of innovative technologies. With the …
A survey on the design aspects and opportunities in age-aware uav-aided data collection for sensor networks and internet of things applications
Due to the limitations of sensor devices, including short transmission distance and
constrained energy, unmanned aerial vehicles (UAVs) have been recently deployed to …
constrained energy, unmanned aerial vehicles (UAVs) have been recently deployed to …
Age-optimal UAV scheduling for data collection with battery recharging
We study route scheduling of a UAV for data collection from sensor nodes (SNs) with battery
recharging. The freshness of the collected information is captured by the metric of age of …
recharging. The freshness of the collected information is captured by the metric of age of …
Deep reinforcement learning for robust vnf reconfigurations in o-ran
Open Radio Access Networks (O-RANs) have revolutionized the telecom ecosystem by
bringing intelligence into disaggregated RAN and implementing functionalities as Virtual …
bringing intelligence into disaggregated RAN and implementing functionalities as Virtual …
Joint trajectory and scheduling optimization for age of synchronization minimization in uav-assisted networks with random updates
W Liu, D Li, T Liang, T Zhang, Z Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are attractive in some Internet of Things (IoT)
applications, due to their flexible deployment and extended coverage. In this paper, we …
applications, due to their flexible deployment and extended coverage. In this paper, we …