Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
Task-oriented image transmission for scene classification in unmanned aerial systems
The vigorous developments of the Internet of Things make it possible to extend its computing
and storage capabilities to computing tasks in the aerial system with the collaboration of …
and storage capabilities to computing tasks in the aerial system with the collaboration of …
Towards V2I age-aware fairness access: A DQN based intelligent vehicular node training and test method
Vehicles on the road exchange data with base station frequently through vehicle to
infrastructure (V2I) communications to ensure the normal use of vehicular applications …
infrastructure (V2I) communications to ensure the normal use of vehicular applications …
Time-dependent performance modeling for platooning communications at intersection
With the development of Internet of Vehicles, the platooning strategy has been widely
studied as the potential approach to ensure the safety of autonomous driving. Vehicles in the …
studied as the potential approach to ensure the safety of autonomous driving. Vehicles in the …
Joint task offloading and resource optimization in noma-based vehicular edge computing: A game-theoretic drl approach
Vehicular edge computing (VEC) becomes a promising paradigm for the development of
emerging intelligent transportation systems. Nevertheless, the limited resources and …
emerging intelligent transportation systems. Nevertheless, the limited resources and …
Computation offloading and resource allocation in NOMA-MEC: A deep reinforcement learning approach
C Shang, Y Sun, H Luo… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing has emerged as a powerful paradigm for increasing the
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
A power allocation scheme for MIMO-NOMA and D2D vehicular edge computing based on decentralized DRL
In vehicular edge computing (VEC), some tasks can be processed either locally or on the
mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact …
mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact …
Sum-rate maximization in star-ris assisted rsma networks: A ppo-based algorithm
This article investigates simultaneous transmitting and reflecting reconfigurable intelligent
surface (STAR-RIS)-assisted downlink multiuser multiple-input–single-output (MU-MISO) …
surface (STAR-RIS)-assisted downlink multiuser multiple-input–single-output (MU-MISO) …
Fast adaptive task offloading and resource allocation via multiagent reinforcement learning in heterogeneous vehicular fog computing
Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
Maddpg-based joint service placement and task offloading in MEC empowered air-ground integrated networks
Multi-access 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 …