QoE fairness resource allocation in digital twin-enabled wireless virtual reality systems
Wireless virtual reality (VR) is expected to be a technology that revolutionizes human
interaction and perceived media, where the quality of experience (QoE) is an important …
interaction and perceived media, where the quality of experience (QoE) is an important …
NOMA-assisted secure offloading for vehicular edge computing networks with asynchronous deep reinforcement learning
Mobile edge computing (MEC) offers promising solutions for various delay-sensitive
vehicular applications by providing high-speed computing services for a large number of …
vehicular applications by providing high-speed computing services for a large number of …
MADDPG-based joint service placement and task offloading in MEC empowered air-ground integrated networks
Multiaccess edge computing (MEC) empowered air–ground integrated networks (AGINs)
hold great promise in delivering accessible computing services for users and Internet of …
hold great promise in delivering accessible computing services for users and Internet of …
EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing
The increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
Blockchain-aided secure access control for UAV computing networks
Multiple unmanned aerial vehicles (UAVs) form a UAV cluster, which relies on wireless
communication networks to facilitate information interaction among the UAVs. UAV clusters …
communication networks to facilitate information interaction among the UAVs. UAV clusters …
Reputation management for consensus mechanism in vehicular edge metaverse
Metaverse is a visually rich virtual space in which users can interact with each other. By
introducing metaverse into vehicular networks, vehicular metaverse can provide users real …
introducing metaverse into vehicular networks, vehicular metaverse can provide users real …
Efficient federated learning for metaverse via dynamic user selection, gradient quantization and resource allocation
Metaverse is envisioned to merge the actual world with a virtual world to bring users
unprecedented immersive feelings. To ensure user experience, federated learning (FL) has …
unprecedented immersive feelings. To ensure user experience, federated learning (FL) has …
Multilevel federated learning-based intelligent traffic flow forecasting for transportation network management
Accurate traffic flow forecasting is crucial to improving traffic safety and alleviating road
congestion for intelligent transportation network management. Recently, spatial-temporal …
congestion for intelligent transportation network management. Recently, spatial-temporal …
Multi-Agent Reinforcement Learning-Based Trading Decision-Making in Platooning-Assisted Vehicular Networks
Utilizing the stable underlying and cloud-native functions of vehicle platoons allows for
flexible resource provisioning in environments with limited infrastructure, particularly for …
flexible resource provisioning in environments with limited infrastructure, particularly for …
SDSS: Secure data sharing scheme for edge enabled IoV networks
With the large-scale deployment of the Internet of Vehicles (IoV) and 5G technologies, it is
inevitable to share data frequently for superior in-vehicle services. However, due to the …
inevitable to share data frequently for superior in-vehicle services. However, due to the …