Physical Layer Enhancement for Next-Generation Railway Communication Systems

Author:

Li Qianrui1ORCID,Sibel Jean-Christophe1,Berbineau Marion2ORCID,Dayoub Iyad3ORCID,Gallee Francois4,Bonneville Herve1

Affiliation:

1. Mitsubishi Electric Research and Development Centre Europe (MERCE), Rennes, France

2. Département Composants et Systèmes (COSYS), Université Gustave Eiffel, Villeneuve d’Ascq, France

3. Université Polytechnique Hauts-de-France, Valenciennes, France

4. IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, France

Funder

Agence Nationale de la Recherche through the mmW4Rail project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference175 articles.

1. Game Theory and Multi-agent Reinforcement Learning

2. Ant colony optimization

3. DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning

4. Cooperative Learning for Spectrum Management in Railway Cognitive Radio Network

5. Towards a hardware implementation of reinforcement learning for call admission control in networks for integrated services;steenhaut;Proc Int Workshop Appl Neural Netw Telecommun (IWANNT),1997

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