Five facets of 6G: Research challenges and opportunities
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …
turned their attention to the exploration of radical next-generation solutions. At this early …
Joint computation offloading and resource allocation for edge-cloud collaboration in internet of vehicles via deep reinforcement learning
Mobile edge computing (MEC) and cloud computing (CC) have been considered as the key
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
Multi-agent DRL-based Hungarian algorithm (MADRLHA) for task offloading in multi-access edge computing Internet of Vehicles (IoVs)
MZ Alam, A Jamalipour - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
This paper investigates the computation offloading problem in a high mobility internet of
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …
Many-to-many task offloading in vehicular fog computing: A multi-agent deep reinforcement learning approach
Vehicular fog computing (VFC) has emerged as a promising solution to mitigate vehicular
network computation load. In the hierarchical VFC, vehicles are employed as mobile fog …
network computation load. In the hierarchical VFC, vehicles are employed as mobile fog …
Joint multi-objective optimization for radio access network slicing using multi-agent deep reinforcement learning
Radio access network (RAN) slices can provide various customized services for next-
generation wireless networks. Thus, multiple performance metrics of different types of RAN …
generation wireless networks. Thus, multiple performance metrics of different types of RAN …
A graph neural network learning approach to optimize RIS-assisted federated learning
Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial
intelligence paradigm, where over-the-air computation enables spectral-efficient model …
intelligence paradigm, where over-the-air computation enables spectral-efficient model …
Multiagent reinforcement learning-based semi-persistent scheduling scheme in c-v2x mode 4
The Third Generation Partnership Project has standardized cellular vehicle-to-everything (C-
V2X) sidelink Mode 4 to support direct communication between vehicles. In Mode 4, the …
V2X) sidelink Mode 4 to support direct communication between vehicles. In Mode 4, the …
Reinforcement learning based framework for COVID-19 resource allocation
K Zong, C Luo - Computers & Industrial Engineering, 2022 - Elsevier
In this paper, a reinforcement learning based framework is developed for COVID-19
resource allocation. We first construct an agent-based epidemic environment to model the …
resource allocation. We first construct an agent-based epidemic environment to model the …
[HTML][HTML] Minimum latency-secure key transmission for cloud-based internet of vehicles using reinforcement learning
The Internet of Vehicles (IoV) communication key management level controls the
confidentiality and security of its data, which may withstand user identity-based attacks such …
confidentiality and security of its data, which may withstand user identity-based attacks such …
Multi-agent deep reinforcement learning based resource allocation for ultra-reliable low-latency internet of controllable things
Y Xiao, Y Song, J Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
As a promising technology in the 5G era, the artificial intelligence (AI) enabled Internet of
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …