Proactive caching for vehicular multi-view 3D video streaming via deep reinforcement learning

Z Zhang, Y Yang, M Hua, C Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper investigates the problem of proactive caching for multi-view 3D videos in the fifth
generation (5G) networks. We establish a mathematical model for this problem, and point …

Efficient D2D content caching using multi-agent reinforcement learning

W Jiang, G Feng, S Qin… - IEEE INFOCOM 2018-IEEE …, 2018 - ieeexplore.ieee.org
To address the increase of multimedia traffic dominated by streaming videos, user
equipment (UE) can collaboratively cache and share contents to alleviate the burden of …

Toward concurrent video multicast orchestration for caching-assisted mobile networks

X Zhang, Y Wang, M Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multicasting does not work well for video applications such as video on demand, where
individual users request video content at discrete and unpredictable moments. In this paper …

Towards mobility-aware proactive caching for vehicular ad hoc networks

Y AlNagar, S Hosny, AA El-Sherif - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
Harnessing information about the user mobility pattern and daily demand can enhance the
network capability to improve the quality of experience (QoE) at Vehicular Ad-Hoc Networks …

CVC: A collaborative video caching framework based on federated learning at the edge

Y Li, S Hu, G Li - IEEE Transactions on Network and Service …, 2021 - ieeexplore.ieee.org
With the rapid development of Internet social media platforms and the popularization of
smart terminal devices, video services such as short videos have surged. However, the …

QoE-driven DASH video caching and adaptation at 5G mobile edge

C Ge, N Wang, S Skillman, G Foster… - Proceedings of the 3rd …, 2016 - dl.acm.org
In this paper, we present a Mobile Edge Computing (MEC) scheme for enabling network
edge-assisted video adaptation based on MPEG-DASH (Dynamic Adaptive Streaming over …

Viewport-Aware Deep Reinforcement Learning Approach for 360 Video Caching

P Maniotis, N Thomos - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
360 video is an essential component of VR/AR/MR systems that provides immersive
experience to the users. However, 360 video is associated with high bandwidth …

Multi-neural network based tiled 360° video caching with Mobile Edge Computing

S Kumar, L Bhagat, J Jin - Journal of Network and Computer Applications, 2022 - Elsevier
It is challenging to stream 360° videos over the mobile network for its stringent latency and
high bandwidth requirements. Although edge-based viewport adaptive tiled 360° video …

A -Learning-Based Proactive Caching Strategy for Non-Safety Related Services in Vehicular Networks

L Hou, L Lei, K Zheng, X Wang - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Content caching has brought huge potential for the provisioning of non-safety related
infotainment services in future vehicular networks. Assisted by multiaccess edge computing …

Optimal and scalable caching for 5G using reinforcement learning of space-time popularities

A Sadeghi, F Sheikholeslami… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Small basestations (SBs) equipped with caching units have potential to handle the
unprecedented demand growth in heterogeneous networks. Through low-rate, backhaul …