A Deep Reinforcement Learning-Based Optimal Computation Offloading Scheme for VR Video Transmission in Mobile Edge Networks

X Xu, Y Song - IEEE Access, 2023 - ieeexplore.ieee.org
Large bandwidth, Low latency and intensive computing are the main challenge in high-
performance virtual reality (VR) video transmission. As mobile edge computing (MEC) can …

Adaptive mobile VR content delivery for industrial 5.0

M Li, J Gao, C Zhou, X Shen, W Zhuang - … of the 1st Workshop on Digital …, 2022 - dl.acm.org
Mobile virtual reality (VR) is expected to be a key component of the next-generation
industrial internet-of-things, which uses immersive technologies to boost virtualization and …

Attention-based QoE-aware digital twin empowered edge computing for immersive virtual reality

J Yu, A Alhilal, T Zhou, P Hui… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Metaverse applications such as virtual reality (VR) content streaming, require optimal
resource allocation strategies for mobile edge computing (MEC) to ensure a high-quality …

Energy-and quality-aware task offloading for webvr service in terminal-aided mobile edge network

Y Yang, L Feng, X Que, F Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Web virtual reality (WebVR) is gaining increasing attention as interactive VR experiences
become more prevalent. The high energy consumption and strict quality requirements are …

[HTML][HTML] Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

L Huang, X Feng, C Zhang, L Qian, Y Wu - Digital Communications and …, 2019 - Elsevier
The rapid growth of mobile internet services has yielded a variety of computation-intensive
applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which …

Computing-assisted task offloading and resource allocation for wireless vr systems

S Li, P Lin, J Song, Q Song - 2020 IEEE 6th International …, 2020 - ieeexplore.ieee.org
Wireless virtual reality (VR) has become an entry point for 5G applications. The widespread
application of wireless VR in people's production, life, and so on, requires joint utilization of …

Quality-aware video offloading in mobile edge computing: A data-driven two-stage stochastic optimization

W Ma, L Mashayekhy - 2021 IEEE 14th International …, 2021 - ieeexplore.ieee.org
Most camera-based mobile devices require ultra low-latency video analytics such as object
detection and action recognition. These devices face severe resource constraints, and thus …

Decentralized Cooperative Caching and Offloading for Virtual Reality Task based on GAN-Powered Multi-Agent Reinforcement Learning

Y Yang, L Feng, Y Sun, Y Li, F Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a critical and prevalent service in future mobile networks, virtual reality (VR) is latency-
sensitive and power-hungry, bringing out the optimization problem of trade-off among power …

Proactive 3C resource allocation for wireless virtual reality using deep reinforcement learning

W Chen, Q Song, P Lin, L Guo… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Virtual reality (VR) over wireless has emerged as an important application in future mobile
networks. However, it is difficult for the existing mobile networks to meet the requirements of …

Video Offloading in Mobile Edge Computing: Dealing with Uncertainty

W Ma, L Mashayekhy - IEEE Transactions on Mobile Computing, 2024 - ieeexplore.ieee.org
Videos are projected to account for roughly 80% of global mobile data traffic by 2028. Many
camera-equipped mobile devices, such as surveillance drones, require realtime video …