Deep reinforcement learning for shared offloading strategy in vehicle edge computing
X Peng, Z Han, W Xie, C Yu, P Zhu, J Xiao… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) effectively reduces the computing load of vehicles by
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …
Communication and computing resource optimization for connected autonomous driving
Transportation system is facing a sharp disruption since the Connected Autonomous
Vehicles (CAVs) can free people from driving and provide good driving experience with the …
Vehicles (CAVs) can free people from driving and provide good driving experience with the …
Privacy-aware offloading for training tasks of generative adversarial network in edge computing
Currently, the generative adversarial network (GAN), with complex training processes in the
physical machine (PM), has achieved great priority in image generation, audio conversion …
physical machine (PM), has achieved great priority in image generation, audio conversion …
A game-theoretic approach to cache and radio resource management in fog radio access networks
Fog radio access networks (F-RANs) have been seen as promising paradigms to handle the
stringent requirements in the 5G era by utilizing the cache and resource management …
stringent requirements in the 5G era by utilizing the cache and resource management …
Game-based task offloading of multiple mobile devices with QoS in mobile edge computing systems of limited computation capacity
Mobile edge computing (MEC) is becoming a promising paradigm of providing computing
servers, like cloud computing, to Edge node. Compared to cloud servers, MECs are …
servers, like cloud computing, to Edge node. Compared to cloud servers, MECs are …
Deep reinforcement learning and game theory for computation offloading in dynamic edge computing markets
S Li, X Hu, Y Du - IEEE Access, 2021 - ieeexplore.ieee.org
As a promising paradigm, computation offloading technology can offload computing tasks to
multi-access edge computing (MEC) servers, which is an appealing choice for resource …
multi-access edge computing (MEC) servers, which is an appealing choice for resource …
Energy efficient relay selection and resource allocation in D2D-enabled mobile edge computing
In order to improve resource utilization and network capacity, we propose the Device-to-
Device (D2D) enabled Mobile Edge Computing (MEC) system, where multiple Smart …
Device (D2D) enabled Mobile Edge Computing (MEC) system, where multiple Smart …
A deep learning approach for mobility-aware and energy-efficient resource allocation in MEC
Mobile Edge Computing (MEC) has emerged as an alternative to cloud computing to meet
the latency and Quality-of-Service (QoS) requirements of mobile devices. In this paper, we …
the latency and Quality-of-Service (QoS) requirements of mobile devices. In this paper, we …
Auction mechanism for dynamic bandwidth allocation in multi-tenant edge computing
Inspired by the shared infrastructure of colocation data centers and the growth of Mobile
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …
Edge-facilitated augmented vision in vehicle-to-everything networks
Vehicular communication applications require an efficient communication architecture for
timely information delivery. Centralized, cloud-based infrastructures present latencies too …
timely information delivery. Centralized, cloud-based infrastructures present latencies too …