Modeling and minimizing latency in three-tier v2x networks

P Le Nguyen, RH Hwang, PM Khiem… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Leveraging mobile cloud computing (MCC) and mobile edge computing (MEC) for
offloading computational tasks is a promising approach to enabling delay-sensitive …

Computation offloading based on game theory in MEC-assisted V2X networks

H Wang, Z Lin, K Guo, T Lv - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technique to meet the demand of network
resources in vehicle-to-everything (V2X) networks. By offloading computation-intensive and …

Optimal delay constrained offloading for vehicular edge computing networks

K Zhang, Y Mao, S Leng, S Maharjan… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
The increasing number of smart vehicles and their resource hungry applications pose new
challenges in terms of computation and processing for providing reliable and efficient …

Multi-agent multi-armed bandit learning for offloading delay minimization in v2x networks

NH Nguyen, P Le Nguyen, H Dinh… - 2021 IEEE 19th …, 2021 - ieeexplore.ieee.org
In a three-tier Vehicle to X (V2X) network, a vehicle can offload the computational tasks to
the edge computing component at a roadside unit (RSU) or a base station with cloud …

Deep reinforcement learning-based offloading for latency minimization in 3-tier v2x networks

H Dinh, NH Nguyen, TT Nguyen… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Multi-access edge computing (MEC) is seen as an effective technique for decreasing service
latency in a V2X network by offloading computational activities. With MEC, a three-tier …

Collaborative optimization of edge-cloud computation offloading in internet of vehicles

Y Li, S Xu - 2021 International Conference on Computer …, 2021 - ieeexplore.ieee.org
Recently, as the traffic flow in the internet of vehicles increases, the conflict between the
huge number of computing tasks and limited computation resources needs to be solved …

Reinforcement learning for optimizing delay-sensitive task offloading in vehicular edge-cloud computing

TH Binh, H Vo, BM Nguyen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the appearance of more and more devices connected to the Internet, the world has
witnessed an ever-growing number of data to be processed. Among those, many tasks …

URLLC resource slicing and scheduling in 5G vehicular edge computing

M Hao, D Ye, S Wang, B Tan… - 2021 IEEE 93rd Vehicular …, 2021 - ieeexplore.ieee.org
The 5th generation (5G) mobile network technology is accelerating the development of
autonomous vehicles by significantly shortening the communication latency and improving …

Optimized Contextual Data Offloading in Mobile Edge Computing

I Alghamdi, C Anagnostopoulos… - 2021 IFIP/IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a new computing paradigm that moves computing
resources closer to the user at the edge of the network. The aim is to have low-latency, high …

Computation offloading algorithms in vehicular edge computing environment: A survey

S Talal, WSM Yousef… - … Conference on Intelligent …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm that approximates cloud services
near vehicles with the assistance of offloading. Data and task offloading have aided vehicles …