Resource allocation modes in C-V2X: from LTE-V2X to 5G-V2X
K Sehla, TMT Nguyen, G Pujolle… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The paradigm of Internet of Vehicles (IoV) as an extension to the Internet of Things (IoT)
concept can assist the development of smart cities. IoV relies on vehicular communications …
concept can assist the development of smart cities. IoV relies on vehicular communications …
Energy-delay minimization of task migration based on game theory in MEC-assisted vehicular networks
Roadside units (RSUs), which have strong computing capability and are close to vehicle
nodes, have been widely used to process delay-and computation-intensive tasks of vehicle …
nodes, have been widely used to process delay-and computation-intensive tasks of vehicle …
Computation offloading and resource allocation based on DT-MEC-assisted federated learning framework
Traditional centralized machine learning uses a large amount of data for model training,
which may face some privacy and security problems. On the other hand, federated learning …
which may face some privacy and security problems. On the other hand, federated learning …
Generic edge computing system for optimization and computation offloading of unmanned aerial vehicle
Abstract Several Unmanned Aerial Vehicles (UAVs) offer ground equipment low-latency
edge computing services. On the other hand, low-Earth orbit satellites offer all …
edge computing services. On the other hand, low-Earth orbit satellites offer all …
Time-critical tasks implementation in MEC based multi-robot cooperation systems
Mobile edge computing (MEC) deployment in a multi-robot cooperation (MRC) system is an
effective way to accomplish the tasks in terms of energy consumption and implementation …
effective way to accomplish the tasks in terms of energy consumption and implementation …
Multi-index evaluation learning-based computation offloading optimization for power internet of things
J Lu, Z Shi, Y Wang, C Pan, S Zhang - Physical Communication, 2023 - Elsevier
Cloud–edge-device collaborative computation offloading can provide flexible and real-time
data processing services for massive resource-constrained devices in power internet of …
data processing services for massive resource-constrained devices in power internet of …
[HTML][HTML] A resource allocation scheme for real-time energy-aware offloading in vehicular networks with mec
H Zhang, X Liu, X Bian, Y Cheng, S Xiang - … and Mobile Computing, 2022 - hindawi.com
With the emergence of new vehicular applications, computation offloading based on mobile
edge computing (MEC) has become a promising paradigm in resource-constrained …
edge computing (MEC) has become a promising paradigm in resource-constrained …
Resource allocation in C-V2X: A review
TZ Tahi - arXiv preprint arXiv:2401.15756, 2024 - arxiv.org
Cellular Vehicle-to-Everything (C-V2X) is a cutting-edge wireless communication technology
that enables seamless connectivity and information exchange among vehicles …
that enables seamless connectivity and information exchange among vehicles …
Deep Reinforcement Learning-Based Adaptive Computation Offloading and Power Allocation in Vehicular Edge Computing Networks
B Qiu, Y Wang, H Xiao, Z Zhang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a novel paradigm, Vehicular Edge Computing (VEC) can effectively support computation-
intensive or delay-sensitive applications in the Internet of Vehicles era. Computation …
intensive or delay-sensitive applications in the Internet of Vehicles era. Computation …
Dqn-based power control and offloading computing for information freshness in multi-uav-assisted v2x system
B Yin, X Li, J Yan, S Zhang… - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technique to meet the demand of computation
resources in unmanned aerial vehicle (UAV)-assisted vehicle-to-everything (V2X) networks …
resources in unmanned aerial vehicle (UAV)-assisted vehicle-to-everything (V2X) networks …