… scenarios to orchestrate the resource allocation strategy. Secondly… a resource allocation
strategy in vehicular networks using … offer a dynamic resource allocation in vehicular networks is …

… slice services in the vehicular networks. Our The main contributions are listed as follows: …
Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks…

… develop a novel intelligent resource allocation scheme for vehicular communications networks
based on the DRL … Yu, and GY Li, “Deep-learning-based wireless resource allocation with …

… -based vehicular network architecture with one MEC server to support different vehicular
applications. Through … Yu, and GY Li, “Deep-learning-based wireless resource allocation with …

… ) and 5G cellular networks. We, therefore, focus on the resource allocation (RA) in vehicular
network based on 3GPP standard, which comprises vehicle-tovehicle (V2V) and vehicle-to-…

… resource allocation framework based on deep reinforcement learning. The base station (BS)
uses a double deep Q network to allocate resources … the resource allocation strategy based …

… an MEC- and UAV-assisted vehicular network architecture and a resource management …
Li, “Deep-learning-based wireless resource allocation with application to vehicular networks,” …

… This paper aims to implement a secure deep learningbased API for the detection of diverse
… proposed a resource allocation policy framework for SDN-based vehicular networks in the …

… of ML applications in vehicular networks from the networking … include network control
containing handover management … , differentiated network selection, and resource allocation tasks …

… to power the future of vehicular networks. Owing to high mobility and … amongst the entities
in vehicular networks, a significant … the Deep Sparse Stacked Autoencoder Network (DS2AN) …