Zero touch management: A survey of network automation solutions for 5G and 6G networks
E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
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 …
Applications of the Internet of Things (IoT) in smart logistics: A comprehensive survey
Y Song, FR Yu, L Zhou, X Yang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Logistics is a driver of countries' and firms' competitiveness and plays a vital role in
economic growth. However, the current logistics industry still faces high costs and low …
economic growth. However, the current logistics industry still faces high costs and low …
Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach
The mobile edge computing (MEC) technology can simultaneously provide high-speed
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …
architecture, which can empower user equipments (UEs) with computation and energy …
EEDTO: An energy-efficient dynamic task offloading algorithm for blockchain-enabled IoT-edge-cloud orchestrated computing
With the proliferation of compute-intensive and delay-sensitive mobile applications, large
amounts of computational resources with stringent latency requirements are required on …
amounts of computational resources with stringent latency requirements are required on …
Integration of blockchain and edge computing in internet of things: A survey
As an important technology to ensure data security, consistency, traceability, etc., blockchain
has been increasingly used in Internet of Things (IoT) applications. The integration of …
has been increasingly used in Internet of Things (IoT) applications. The integration of …
MEC-assisted immersive VR video streaming over terahertz wireless networks: A deep reinforcement learning approach
J Du, FR Yu, G Lu, J Wang, J Jiang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Immersive virtual reality (VR) video is becoming increasingly popular owing to its enhanced
immersive experience. To enjoy ultrahigh resolution immersive VR video with wireless user …
immersive experience. To enjoy ultrahigh resolution immersive VR video with wireless user …
Computation offloading and resource allocation in MEC-enabled integrated aerial-terrestrial vehicular networks: A reinforcement learning approach
As important services of the future sixth-generation (6G) wireless networks, vehicular
communication and mobile edge computing (MEC) have received considerable interest in …
communication and mobile edge computing (MEC) have received considerable interest in …