An optimal resource assignment and mode selection for vehicular communication using proximal on-policy scheme-Reference-Cited by-同舟云学术

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An optimal resource assignment and mode selection for vehicular communication using proximal on-policy scheme

Published:2024-11 Issue: Volume:107 Page:268-279
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Budhiraja Ishan,Alphy Anna,Pandey Pawan,Garg Sahil,Choi Bong Jun^ORCID,Hassan Mohammad Mehedi

Publisher

Elsevier BV

Reference33 articles.

1. Connected roads of the future: Use cases, requirements, and design considerations for vehicle-to-everything communications;Boban;IEEE Veh. Technol. Mag.,2018

2. LTE-V: A TD-LTE-based V2X solution for future vehicular network;Chen;IEEE Internet Things J.,2016

3. Connected vehicles: Solutions and challenges;Lu;IEEE Internet Things J.,2014

4. Deep-reinforcement-learning-based proportional fair scheduling control scheme for underlay D2D communication;Budhiraja;IEEE Internet Things J.,2021

5. A deep reinforcement learning scheme for sum rate and fairness maximization among D2D pairs underlaying cellular network with NOMA;Vishnoi;IEEE Trans. Veh. Technol.,2023

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