Computing Resource Allocation Strategy Based on Cloud-Edge Cluster Collaboration in Internet of Vehicles
X Shen, L Wang, P Zhang, X Xie, Y Chen, S Lu - IEEE Access, 2024 - ieeexplore.ieee.org
Edge computing plays a crucial role in the field of the Internet of Vehicles (IoV), meeting the
resource and latency requirements of time-sensitive vehicle applications. However, the …
resource and latency requirements of time-sensitive vehicle applications. However, the …
Service Placement and Trajectory Design for Heterogeneous Tasks in Multi-UAV Cooperative Computing Networks
B Li, R Yang, L Liu, C Wu - arXiv preprint arXiv:2408.01680, 2024 - arxiv.org
In this paper, we consider deploying multiple Unmanned Aerial Vehicles (UAVs) to enhance
the computation service of Mobile Edge Computing (MEC) through collaborative …
the computation service of Mobile Edge Computing (MEC) through collaborative …
Towards a dynamic computation offloading mechanism with twin delayed ddpg in edge computing
A Oga, BO Apduhan - … Conference on Computational Science and Its …, 2023 - Springer
A potential pitfall of edge computing is that processing delays occur when the load is
concentrated on a single edge server. To alleviate this issue, computation offloading …
concentrated on a single edge server. To alleviate this issue, computation offloading …
Throughput Maximization for RSMA-Empowered CRN under Short-Packet Communications: A DRL-Based Approach
This paper investigates the problem of spectral efficiency maximization in an underlay
cognitive radio network (CRN) utilizing rate-splitting multiple access (RSMA) transmission …
cognitive radio network (CRN) utilizing rate-splitting multiple access (RSMA) transmission …
An Multi-resources Integration Empowered Task Offloading in Internet of Vehicles: From the Perspective of Wireless Interference
The task offloading technology plays a vital role in the Internet of Vehicles (IoV), by satisfying
the diversified demands of the vehicles, such as the energy consumption and processing …
the diversified demands of the vehicles, such as the energy consumption and processing …
Delay-Effective Task Offloading Technology in Internet of Vehicles: From the Perspective of the Vehicle Platooning
The task offloading technology plays a crucial vital role in the Internet of Vehicle (IoV) with
the demands of delay minimum, by jointly optimizing the heterogeneous computing …
the demands of delay minimum, by jointly optimizing the heterogeneous computing …
Asynchronous Federated Learning-Based Resource Management in URLLC-IoV Networks
In this paper, we propose a novel approach for optimal resource management in ultra-
reliable low-latency communication (URLLC)-enabled Internet of Vehicles (IoV) networks …
reliable low-latency communication (URLLC)-enabled Internet of Vehicles (IoV) networks …
Graph-Powered Reinforcement Learning for Intelligent Task Offloading in Vehicular Networks
In vehicular edge computing, task offloading optimization is crucial for balancing
computational demands with minimizing delays and costs. However, the dynamic nature of …
computational demands with minimizing delays and costs. However, the dynamic nature of …
Learning-based Intelligent Surface Configuration, User Selection, Channel Allocation, and Modulation Adaptation for Jamming-resisting Multiuser OFDMA Systems
Reconfigurable intelligent surfaces (RISs) can potentially combat jamming attacks by
diffusing jamming signals. This paper jointly optimizes user selection, channel allocation …
diffusing jamming signals. This paper jointly optimizes user selection, channel allocation …
Computation offloading and heterogeneous task caching in MEC-enabled vehicular networks
R Wu, B Li - The Journal of Supercomputing, 2023 - Springer
Given the rapid growth of business types and the characteristics of delay-sensitive tasks in
vehicular networks, vehicles' computing power is insufficient to handle the demands of a …
vehicular networks, vehicles' computing power is insufficient to handle the demands of a …