Delay-aware content delivery with deep reinforcement learning in internet of vehicles
The rapid development of the Internet of Vehicles (IoV) enables various vehicular
applications, such as image-aided navigation and traffic information management. It is …
applications, such as image-aided navigation and traffic information management. It is …
Joint user-side recommendation and D2D-assisted offloading for cache-enabled cellular networks with mobility consideration
Caching at the wireless edge is recognized as a promising solution to accommodate the
explosive growth of traffic demand. However, the gain of edge caching is only pronounced …
explosive growth of traffic demand. However, the gain of edge caching is only pronounced …
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 …
Intelligent content precaching scheme for platoon-based edge vehicular networks
To provide various onboard entertainment services, the ever-increased Internet contents to
be exchanged among remote data centers, roadside units (RSUs), and vehicles demand …
be exchanged among remote data centers, roadside units (RSUs), and vehicles demand …
A novel mobile edge network architecture with joint caching-delivering and horizontal cooperation
Mobile edge caching/computing (MEC) has been emerging as a promising paradigm to
provide ultra-high rate, ultra-reliable, and/or low-latency communications in future wireless …
provide ultra-high rate, ultra-reliable, and/or low-latency communications in future wireless …
Caching scalable videos in the edge of wireless cellular networks
By pre-fetching popular videos into the local caches of edge nodes, wireless edge caching
provides an effective means of reducing repeated content deliveries. To meet the various …
provides an effective means of reducing repeated content deliveries. To meet the various …
QoE-driven edge caching in vehicle networks based on deep reinforcement learning
C Song, W Xu, T Wu, S Yu, P Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Internet of vehicles (IoV) is a large information interaction network that collects
information on vehicles, roads and pedestrians. One of the important uses of vehicle …
information on vehicles, roads and pedestrians. One of the important uses of vehicle …
DeepCachNet: A proactive caching framework based on deep learning in cellular networks
Content caching at the network edge is considered to be a suitable technique for enhancing
the efficacy of content delivery in cellular networks. Caching the strategic content at the SBS …
the efficacy of content delivery in cellular networks. Caching the strategic content at the SBS …
Vehicle-assisted RSU caching using deep reinforcement learning
Vehicular communication is a crucial component of intelligent transportation systems (ITS)
upon which many services are based starting with relaying traffic conditions up to enabling …
upon which many services are based starting with relaying traffic conditions up to enabling …
Context-aware proactive content caching with service differentiation in wireless networks
Content caching in small base stations or wireless infostations is considered to be a suitable
approach to improve the efficiency in wireless content delivery. Placing the optimal content …
approach to improve the efficiency in wireless content delivery. Placing the optimal content …