Distributed Learning-Based Resource Allocation for Self-Organizing C-V2X Communication in Cellular Networks

In this paper, we investigate a resource allocation problem for a Cellular Vehicle to Everything (C-V2X) network to improve energy efficiency of the system. To address this problem, self-organizing mechanisms are proposed for joint and disjoint subcarrier and power allocation procedures which are pe...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Najmeh Banitalebi, Paeiz Azmi, Nader Mokari, Atefeh Hajijamali Arani, Halim Yanikomeroglu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2022-01-01
Schriftenreihe:	IEEE Open Journal of the Communications Society
Schlagworte:	Cellular vehicle-to-everything (C-V2X) communication PD-NOMA resource allocation learning algorithm
Online-Zugang:	https://ieeexplore.ieee.org/document/9908149/
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