A learning-based approach for vehicle-to-vehicle computation offloading
Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
On the design of federated learning in latency and energy constrained computation offloading operations in vehicular edge computing systems
SS Shinde, A Bozorgchenani… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the advent of smart vehicles, several new latency-critical and data-intensive
applications are emerged in Vehicular Networks (VNs). Computation offloading has …
applications are emerged in Vehicular Networks (VNs). Computation offloading has …
Joint air-ground distributed federated learning for intelligent transportation systems
Supported by some of the major revolutionary technologies, such as Internet of Vehicles
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …
Joint service caching, resource allocation and task offloading for MEC-based networks: a multi-layer optimization approach
W Chu, X Jia, Z Yu, JCS Lui… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To provide reliable and elastic Multi-access edge computing services, one feasible solution
is to federate geographically proximate edge servers to form a logically centralized resource …
is to federate geographically proximate edge servers to form a logically centralized resource …
Constrained capacity optimal generalized multi-user MIMO: A theoretical and practical framework
Conventional multi-user multiple-input multiple-output (MU-MIMO) mainly focused on
Gaussian signaling, independent and identically distributed (IID) channels, and a limited …
Gaussian signaling, independent and identically distributed (IID) channels, and a limited …
Resource allocation for augmented reality empowered vehicular edge metaverse
Metaverse is considered to be the evolution of the next-generation networks, providing users
with experience sharing at the intersection between physical and digital. Augmented reality …
with experience sharing at the intersection between physical and digital. Augmented reality …
Joint task offloading and resource allocation for vehicular edge computing with result feedback delay
In this paper, we study the problem of joint Task offloading and resource Allocation for
vehicular edge computing with Result Feedback Delay (TARFD). Specifically, we consider a …
vehicular edge computing with Result Feedback Delay (TARFD). Specifically, we consider a …
Collaborative reinforcement learning for multi-service internet of vehicles
Internet of Vehicles (IoV) is a recently introduced paradigm aiming at extending the Internet
of Things (IoT) toward the vehicular scenario in order to cope with its specific requirements …
of Things (IoT) toward the vehicular scenario in order to cope with its specific requirements …
Joint task offloading and dispatching for mec with rational mobile devices and edge nodes
Multi-access Edge Computing has come forth as a promising paradigm to provide low-
latency computing service to mobile end users. Its basic idea is to deploy computation …
latency computing service to mobile end users. Its basic idea is to deploy computation …
A markov decision process solution for energy-saving network selection and computation offloading in vehicular networks
Vehicular Edge Computing (VEC) enables the integration of edge computing facilities in
vehicular networks (VNs), allowing data-intensive and latency-critical applications and …
vehicular networks (VNs), allowing data-intensive and latency-critical applications and …