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Zero touch management: A survey of network automation solutions for 5G and 6G networks
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …
originating from novel mobile applications and services and, in general, from the adoption …
Application placement in Fog computing with AI approach: Taxonomy and a state of the art survey
With the increasing use of the Internet of Things (IoT) in various fields and the need to
process and store huge volumes of generated data, Fog computing was introduced to …
process and store huge volumes of generated data, Fog computing was introduced to …
Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …
applications, such as smart transportation and smart city, where massive devices are …
[HTML][HTML] Blockchain-enabled resource management and sharing for 6G communications
Abstract The sixth-generation (6G) network must provide better performance than previous
generations to meet the requirements of emerging services and applications, such as multi …
generations to meet the requirements of emerging services and applications, such as multi …
Deep reinforcement learning based resource management for DNN inference in industrial IoT
Performing deep neural network (DNN) inference in real time requires excessive network
resources, which poses a big challenge to the resource-limited industrial Internet of things …
resources, which poses a big challenge to the resource-limited industrial Internet of things …
[HTML][HTML] Optimal data transmission and pathfinding for WSN and decentralized IoT systems using I-GWO and Ex-GWO algorithms
Efficient resource use is a very important issue in wireless sensor networks and
decentralized IoT-based systems. In this context, a smooth pathfinding mechanism can …
decentralized IoT-based systems. In this context, a smooth pathfinding mechanism can …
Toward intelligent resource allocation on task-oriented semantic communication
H Zhang, H Wang, Y Li, K Long… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Task-oriented semantic communication (TOSC) has significant advantages in reducing the
amount of data transmission and alleviating the scarcity of spectrum resources. Unlike …
amount of data transmission and alleviating the scarcity of spectrum resources. Unlike …
Dynamic online trajectory planning for a UAV-enabled data collection system
S Li, F Wu, S Luo, Z Fan, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the maneuverability and flexibility of unmanned aerial vehicles (UAVs), the UAV-
enabled data collection systems for wireless sensor networks (WSN) have received …
enabled data collection systems for wireless sensor networks (WSN) have received …
[HTML][HTML] A novel simulated annealing based strategy for balanced UAV task assignment and path planning
L Huo, J Zhu, G Wu, Z Li - Sensors, 2020 - mdpi.com
The unmanned aerial vehicle (UAV) has drawn increasing attention in recent years,
especially in executing tasks such as natural disaster rescue and detection, and battlefield …
especially in executing tasks such as natural disaster rescue and detection, and battlefield …
Driving maneuvers prediction based autonomous driving control by deep Monte Carlo tree search
Autonomous driving has attracted significant attention in recent years. With the booming of
artificial intelligence (AI), deep learning technologies have been applied to autonomous …
artificial intelligence (AI), deep learning technologies have been applied to autonomous …