Proximal policy optimization for RIS-assisted full duplex 6G-V2X communications

P Saikia, S Pala, K Singh, SK Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this work, we consider a novel reconfigurable intelligent surface (RIS)-assisted full-duplex
(FD) sixth generation (6G)-vehicle-to-everything (V2X) communication network having a FD …

Minimum Latency‐Secure Key Transmission for Cloud‐Based Internet of Vehicles Using Reinforcement Learning

V Akilandeswari, A Kumar… - Computational …, 2022 - Wiley Online Library
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 …

Joint cooperative caching and power control for UAV-assisted internet of vehicles

W Wang, Y Liu, Y Dai, Y He - Scientific Reports, 2024 - nature.com
In view of the current problems of spectrum resource scarcity, return congestion, and
insufficient energy utilization in the unmanned aerial vehicle (UAV)-assisted Internet of …

A Review on Deploying Blockchain Technology for Network Mobility Management

PADSN Wijesekara - … on Electrical Engineering and Computer Science, 2024 - iteecs.com
In wireless mobile networks, Mobility Management (MM) is a critical aspect that involves
different tasks such as handover management, location management, offloading, resource …

Joint perception data caching and computation offloading in MEC-enabled vehicular networks

B Li, R Wu - Computer Communications, 2023 - Elsevier
The accelerated use of intelligent vehicles and the advancement of self-driving technologies
have posed significant problems to the provision of real-time vehicular services, such as …

Internet of Vehicles and real-time optimization algorithms: Concepts for vehicle networking in smart cities

F Adelantado, M Ammouriova, E Herrera, AA Juan… - vehicles, 2022 - mdpi.com
Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …

Quality of service‐aware adaptive radio resource management based on deep federated Q‐learning for multi‐access edge computing in beyond 5G cloud‐radio …

N Kumar, A Ahmad - Transactions on Emerging …, 2023 - Wiley Online Library
Due to the exponential increase of mobile data services, both industry and academia have
turned their focus for improving the quality of service (QoS) provisioning for the beyond 5G …

Deep reinforcement learning-based spectrum allocation algorithm in Internet of vehicles discriminating services

Z Guan, Y Wang, M He - Applied Sciences, 2022 - mdpi.com
With the rapid development of global automotive industry intelligence and networking, the
Internet of Vehicles (IoV) service, as a key communication technology, has been faced with …

Deep reinforcement learning-based adaptive beam tracking and resource allocation in 6g vehicular networks with switched beam antennas

TH Ahmed, JJ Tiang, A Mahmud, C Gwo Chin, DT Do - Electronics, 2023 - mdpi.com
In this paper, we propose a novel switched beam antenna system model integrated with
deep reinforcement learning (DRL) for 6G vehicle-to-vehicle (V2V) communications. The …

Federated deep reinforcement learning based task offloading with power control in vehicular edge computing

S Moon, Y Lim - Sensors, 2022 - mdpi.com
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …