Multimodal semantic communication accelerated bidirectional caching for 6G MEC
Abstract Mobile Edge Computing (MEC) enables immersive XR with multimodal data by
coordinating communication, computation, and caching (3C) resources upcoming 6G. The …
coordinating communication, computation, and caching (3C) resources upcoming 6G. The …
Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …
performance by introducing both computation offloading and service caching, to resource …
Robust computation offloading and trajectory optimization for multi-UAV-assisted MEC: A multi-agent DRL approach
For multiple unmanned-aerial-vehicles (UAVs)-assisted mobile-edge computing (MEC)
networks, we study the problem of combined computation and communication for user …
networks, we study the problem of combined computation and communication for user …
Holistic resource management in UAV-assisted wireless networks: An optimization perspective
S Taimoor, L Ferdouse, W Ejaz - Journal of Network and Computer …, 2022 - Elsevier
Unmanned aerial vehicles (UAVs) are considered as a promising solution to assist terrestrial
networks in future wireless networks (ie, beyond fifth-generation (B5G) and sixth-generation …
networks in future wireless networks (ie, beyond fifth-generation (B5G) and sixth-generation …
Multi-agent federated reinforcement learning strategy for mobile virtual reality delivery networks
Virtual reality (VR) services have become increasingly popular but presented challenges for
wireless communications due to the large amounts of data requirements. In this work, we …
wireless communications due to the large amounts of data requirements. In this work, we …
QoS-aware offloading based on communication-computation resource coordination for 6G edge intelligence
Driven by the demands of diverse artificial intelligence (AI)-enabled application, Mobile
Edge Computing (MEC) is considered one of the key technologies for 6G edge intelligence …
Edge Computing (MEC) is considered one of the key technologies for 6G edge intelligence …
Joint computing, pushing, and caching optimization for mobile edge computing networks via soft actor-critic learning
Mobile-edge computing (MEC) networks bring computing and storage capabilities closer to
edge devices, which reduces latency and improves network performance. However, to …
edge devices, which reduces latency and improves network performance. However, to …
Latency minimization for mobile edge computing networks
CL Chen, CG Brinton… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The proliferation of data-intensive mobile applications is causing latency to become an issue
in mobile edge computing (MEC) systems. In this work, we propose a novel methodology …
in mobile edge computing (MEC) systems. In this work, we propose a novel methodology …
A deep learning-based edge caching optimization method for cost-driven planning process over IIoT
Edge computing has been considered as a leading paradigm to satisfy the low latency
demand for some computation-intensive or data-intensive applications, especially for IIoT …
demand for some computation-intensive or data-intensive applications, especially for IIoT …
Cooperative Multi-Agent Deep Reinforcement Learning Methods for UAV-aided Mobile Edge Computing Networks
This article presents a cooperative multiagent deep reinforcement learning (MADRL)
approach for unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) …
approach for unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) …