Spectrum management for multi-access edge computing in autonomous vehicular networks
In this paper, a dynamic spectrum management framework is proposed to improve spectrum
resource utilization in a multi-access edge computing (MEC) in autonomous vehicular …
resource utilization in a multi-access edge computing (MEC) in autonomous vehicular …
Deep reinforcement learning based resource management for multi-access edge computing in vehicular networks
In this paper, we study joint allocation of the spectrum, computing, and storing resources in a
multi-access edge computing (MEC)-based vehicular network. To support different vehicular …
multi-access edge computing (MEC)-based vehicular network. To support different vehicular …
Spectrum allocation strategies based on QoS in cognitive vehicle networks
R Li, P Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
The vehicular ad hoc network (VANET) is an important part of modern intelligent
transportation systems (ITS), and its emergence has provided support for improving traffic …
transportation systems (ITS), and its emergence has provided support for improving traffic …
Edge intelligence for multi-dimensional resource management in aerial-assisted vehicular networks
A new architecture with drone-assisted multi-access edge computing (MEC) is proposed for
vehicular networks to support computation-intensive and delay-sensitive applications and …
vehicular networks to support computation-intensive and delay-sensitive applications and …
A novel utility based resource management scheme in vehicular social edge computing
F Lin, X Lü, I You, X Zhou - IEEE Access, 2018 - ieeexplore.ieee.org
Vehicular network aims at providing intelligent transportation and ubiquitous network
access. Edge computing is able to reduce the consumption of core network bandwidth and …
access. Edge computing is able to reduce the consumption of core network bandwidth and …
Energy-efficient resource allocation for parked-cars-based cellular-V2V heterogeneous networks
P Qin, Y Fu, X Feng, X Zhao, S Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
As the fast development of vehicular network, the layout of the roadside unit (RSU) is
indispensable. Due to the shackles of factors, such as coverage and cost, there is an urgent …
indispensable. Due to the shackles of factors, such as coverage and cost, there is an urgent …
Fog computing vehicular network resource management based on chemical reaction optimization
The Internet of vehicles (IoV) provides strong support for ensuring the diversification of urban
transportation as the core of next generation intelligent transportation. However, with the …
transportation as the core of next generation intelligent transportation. However, with the …
Enhancing the user experience in vehicular edge computing networks: An adaptive resource allocation approach
X Sun, J Zhao, X Ma, Q Li - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been developed as a key technique to handle the
explosive computation demands of vehicles. However, it is non-trivial to realize high-reliable …
explosive computation demands of vehicles. However, it is non-trivial to realize high-reliable …
Integrating licensed and unlicensed spectrum in the Internet of vehicles with mobile edge computing
In order to satisfy the application requirements in Internet of Vehicles scenarios, it is
important to efficiently utilize different wireless spectrums while considering the dynamic …
important to efficiently utilize different wireless spectrums while considering the dynamic …
Joint resource allocation and computation offloading with time-varying fading channel in vehicular edge computing
Vehicular edge computing (VEC) is considered as a novel paradigm to enhance the safety
of automated vehicles and intelligent transportation systems (ITS). The computation …
of automated vehicles and intelligent transportation systems (ITS). The computation …