Deep Learning-Based Path Loss Prediction for Fifth-Generation New Radio Vehicle Communications

Deep Learning-Based Path Loss Prediction for Fifth-Generation New Radio Vehicle Communications

Fifth-generation (5G) technology is rapidly spreading to vehicle-to-vehicle (V2V) communication, which requires high reliability, high data transmission rate, and low latency to meet service requirements through a new frequency band called millimeter wave (mmWave). However, mmWave bands are difficul...

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Bibliographic Details
Main Authors: Sangmo Sung, Wonseo Choi, Hokeun Kim, Jae-Il Jung
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Path loss prediction
vehicle-to-vehicle communication (V2V)
millimeter wave (mmWave)
deep neural network (DNN)
weather condition modeling
Online Access:https://ieeexplore.ieee.org/document/10188816/

Internet

https://ieeexplore.ieee.org/document/10188816/

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