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Edge intelligence in intelligent transportation systems: A survey
Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …
computing requirements, and current vehicles' computational resources are not adequate to …
Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach
The mobile edge computing (MEC) technology can simultaneously provide high-speed
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …
the significant advances in communication and computing paradigms, which provide a safer …
Joint C-V2X based offloading and resource allocation in multi-tier vehicular edge computing system
Emerging intelligent transportation services are latency-sensitive with heavy demand for
computing resources, which can be supported by a multi-tier computing system composed of …
computing resources, which can be supported by a multi-tier computing system composed of …
Double deep Q-network based dynamic framing offloading in vehicular edge computing
With the rapid development of Artificial Intelligence (AI) and the Internet of Vehicles (IoV),
there is an increasing demand for deploying various intelligent applications on vehicles …
there is an increasing demand for deploying various intelligent applications on vehicles …
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 …
Energy efficiency optimization for backscatter enhanced NOMA cooperative V2X communications under imperfect CSI
Automotive-Industry 5.0 will use beyond fifth-generation (B5G) technologies to provide
robust, computationally intelligent, and energy-efficient data sharing among various onboard …
robust, computationally intelligent, and energy-efficient data sharing among various onboard …
Vehicular task offloading and job scheduling method based on cloud-edge computing
Y Sun, Z Wu, K Meng, Y Zheng - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of intelligent transportation systems (ITS), the Internet of
Vehicles (IoV) is gradually becoming mature, but at the same time, the scale of intelligent …
Vehicles (IoV) is gradually becoming mature, but at the same time, the scale of intelligent …
Energy-efficient resource allocation for heterogeneous edge–cloud computing
W Hua, P Liu, L Huang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) technology, billions of mobile devices
(MDs) are putting a massive burden on limited radio resources. Mobile-edge computing …
(MDs) are putting a massive burden on limited radio resources. Mobile-edge computing …