Virtual Relay Selection in LTE-V: A Deep Reinforcement Learning Approach to Heterogeneous Data

Virtual Relay Selection in LTE-V: A Deep Reinforcement Learning Approach to Heterogeneous Data

The development of Long Term Evolution (LTE) enables wireless communication with high transmission rate, low latency, and wide coverage area. These outstanding features of LTE support the next generation of vehicle-to-everything (V2X) communication, which is named LTE-V. Among the various technologi...

Full description

Bibliographic Details
Main Authors: Xunsheng Du, Hien Van Nguyen, Chunxiao Jiang, Yong Li, F. Richard Yu, Zhu Han
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Vehicle communication
LTE-V
deep learning
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9099831/

Internet

https://ieeexplore.ieee.org/document/9099831/

Similar Items