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...

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Bibliografiske detaljer

Principais autores:	Xunsheng Du, Hien Van Nguyen, Chunxiao Jiang, Yong Li, F. Richard Yu, Zhu Han
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2020-01-01
Serier:	IEEE Access
Fag:	Vehicle communication LTE-V deep learning reinforcement learning
Online adgang:	https://ieeexplore.ieee.org/document/9099831/
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