Edge intelligence in intelligent transportation systems: A survey

T Gong, L Zhu, FR Yu, T Tang - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges

M Ahmed, S Raza, MA Mirza, A Aziz, MA Khan… - Journal of King Saud …, 2022 - Elsevier
Emerging vehicular applications with strict latency and reliability requirements pose high
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

Y Ju, Y Chen, Z Cao, L Liu, Q Pei… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The mobile edge computing (MEC) technology can simultaneously provide high-speed
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

J Liu, M Ahmed, MA Mirza, WU Khan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
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 …

Joint C-V2X based offloading and resource allocation in multi-tier vehicular edge computing system

W Feng, S Lin, N Zhang, G Wang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
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 …

Double deep Q-network based dynamic framing offloading in vehicular edge computing

H Tang, H Wu, G Qu, R Li - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
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 …

A power allocation scheme for MIMO-NOMA and D2D vehicular edge computing based on decentralized DRL

D Long, Q Wu, Q Fan, P Fan, Z Li, J Fan - Sensors, 2023 - mdpi.com
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 …

Energy efficiency optimization for backscatter enhanced NOMA cooperative V2X communications under imperfect CSI

WU Khan, MA Jamshed, E Lagunas… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Automotive-Industry 5.0 will use beyond fifth-generation (B5G) technologies to provide
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 …

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 …