Deep reinforcement learning for social-aware edge computing and caching in urban informatics
Empowered with urban informatics, transportation industry has witnessed a paradigm shift.
These developments lead to the need of content processing and sharing between vehicles …
These developments lead to the need of content processing and sharing between vehicles …
A joint service migration and mobility optimization approach for vehicular edge computing
The vehicular edge computing is considered an enabling technology for intelligent and
connected vehicles since the optimization of communication and computing on edge has a …
connected vehicles since the optimization of communication and computing on edge has a …
Computation offloading in heterogeneous vehicular edge networks: On-line and off-policy bandit solutions
A Bozorgchenani, S Maghsudi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the rapid advancement of intelligent transportation systems (ITS) and vehicular
communications, vehicular edge computing (VEC) is emerging as a promising technology to …
communications, vehicular edge computing (VEC) is emerging as a promising technology to …
Deep reinforcement learning for vehicular edge computing: An intelligent offloading system
The development of smart vehicles brings drivers and passengers a comfortable and safe
environment. Various emerging applications are promising to enrich users' traveling …
environment. Various emerging applications are promising to enrich users' traveling …
A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
Edge caching is being explored as a promising technology to alleviate the network burden
of cellular networks by separating the computing functionalities away from cellular base …
of cellular networks by separating the computing functionalities away from cellular base …
Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
[HTML][HTML] Mobility-aware proactive edge caching optimization scheme in information-centric iov networks
Edge caching is a promising approach to alleviate the burden on the backhaul of network
links. It has a significant role in the Internet of Vehicle (IoV) networks performance by …
links. It has a significant role in the Internet of Vehicle (IoV) networks performance by …
Mobility-aware proactive edge caching for connected vehicles using federated learning
Content Caching at the edge of vehicular networks has been considered as a promising
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …
Deep reinforcement learning based resource management for multi-access edge computing in vehicular networks
In this paper, we study joint allocation of the spectrum, computing, and storing resources in a
multi-access edge computing (MEC)-based vehicular network. To support different vehicular …
multi-access edge computing (MEC)-based vehicular network. To support different vehicular …
Distributed deep multi-agent reinforcement learning for cooperative edge caching in internet-of-vehicles
Edge caching is a promising approach to reduce duplicate content transmission in Internet-
of-Vehicles (IoVs). Several Reinforcement Learning (RL) based edge caching methods have …
of-Vehicles (IoVs). Several Reinforcement Learning (RL) based edge caching methods have …