AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning-Reference-Cited by-同舟云学术

AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning

Author:

Parvini Mohammad¹^ORCID,Javan Mohammad Reza²^ORCID,Mokari Nader¹^ORCID,Abbasi Bijan¹^ORCID,Jorswieck Eduard A.³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran

2. Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Shahrood, Iran

3. Institute for Communications Technology, Braunschweig, TU, Germany

Funder

Bundesministerium für Bildung und Forschung

Souveran. Digital. Vernetzt.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference49 articles.

2. Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures,2018

5. Study on enhancement of 3GPP support for 5G V2X services;Version 16 0 2,2018

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