Federated offloading scheme to minimize latency in MEC-enabled vehicular networks

H Wang, X Li, H Ji, H Zhang - 2018 IEEE Globecom Workshops …, 2018 - ieeexplore.ieee.org
The vehicular networks with mobile edge computing (MEC) provide a promising paradigm to
meet the explosive vehicular computing demands. To further reduce the total latency and …

MIDP: An MDP-based intelligent big data processing scheme for vehicular edge computing

S Liu, Q Yang, S Zhang, T Wang, NN Xiong - Journal of Parallel and …, 2022 - Elsevier
Abstract The number of Vehicle Equipment (VE) connected to the Internet is increasing, and
these VEs generate tasks that contain large amounts of data. Processing these tasks …

DRL-based distributed resource allocation for edge computing in cell-free massive MIMO network

FD Tilahun, AT Abebe, CG Kang - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
In this paper, with the aim of addressing the stringent computing and quality-of-service (QoS)
requirements of recently introduced advanced multimedia services, we consider a cell-free …

Joint optimization strategy of heterogeneous resources in multi-MEC-server vehicular network

H Zhang, Z Liu, S Hasan, Y Xu - Wireless Networks, 2022 - Springer
As an important application scenario of Internet of Things in 5G, the vehicular network will
produce a large number of computing tasks and data, which will bring huge pressures to the …

Distributed Hybrid Precoding for Edge Computing-Assisted Cell-Free Massive MIMO Systems With Local CSI

J Luo, J Fan, J Zhang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Precoding technology is very promising in edge computing-assisted cell-free massive
multiple-input multiple-output (ECF-mMIMO) systems because it can eliminate interference …

Mobile Edge Computing Tasking Offloading Strategy in Cell-Free Massive MIMO with Graph Neural Network

S Li, F Tan, Q Liu - 2023 IEEE International Symposium on …, 2023 - ieeexplore.ieee.org
Combining cell-free massive multiple-input multiple-output (CF-mMIMO) and mobile edge
computing (MEC) facilitates the processing of compute-intensive and latency-sensitive tasks …

Energy-Efficient Vehicular Edge Computing with One-by-one Access Scheme

Y Jang, S Jeong, J Kang - IEEE Wireless Communications …, 2023 - ieeexplore.ieee.org
With the advent of ever-growing vehicular applications, vehicular edge computing (VEC) has
emerged as a solution to augment the computing capacity of future smart vehicles. However …

Joint optimization of uplink power and computational resources in mobile edge computing-enabled cell-free massive MIMO

G Interdonato, S Buzzi - IEEE Transactions on Communications, 2023 - ieeexplore.ieee.org
The coupling of cell-free massive MIMO (CF-mMIMO) with Mobile Edge Computing (MEC) is
investigated in this paper. A MEC-enabled CF-mMIMO architecture implementing a …

Joint computation offloading and URLLC resource allocation for collaborative MEC assisted cellular-V2X networks

L Feng, W Li, Y Lin, L Zhu, S Guo, Z Zhen - IEEE Access, 2020 - ieeexplore.ieee.org
By leveraging the 5G enabled V2X networks, the vehicles connected by cellular base-
stations can support a wide variety of computation-intensive services. In order to solve the …

Computation placement orchestrator for mobile edge computing in heterogeneous vehicular networks

L Wang, X Deng, J Gui, H Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The vision of heterogeneous vehicle networks (HetVNETs) embraces various highly
dynamic scenarios with urgent requirements for delay-sensitive and reliability-guaranteed …