eprintid: 28297
rev_number: 3
eprint_status: archive
userid: 3
dir: disk0/00/02/82/97
datestamp: 2024-01-22 17:05:53
lastmod: 2024-01-22 17:05:53
status_changed: 2024-01-22 17:05:53
type: article
metadata_visibility: show
creators_name: Khoshkbari, Hesam
creators_name: Kaddoum, Georges
master_director_name: Kaddoum, Georges
title: Deep recurrent reinforcement learning for partially observable user association in a vertical heterogenous network
date: 2023
publisher: IEEE
id_number: 10.1109/LCOMM.2023.3331216
official_url: http://dx.doi.org/10.1109/LCOMM.2023.3331216
full_text_status: none
publication: IEEE Communications Letters
volume: 27
number: 12
pagerange: 3235-3239
department: Génie électrique
issn: 1558-2558
projects: LACIME - Laboratoire de communications et d'intégration de la microélectronique
scopus_impact: 1
scopus_cluster: 2-s2.0-85177027414
scopus_datestamp: 2024-04-30 04:13:45
citation:   Khoshkbari, Hesam et Kaddoum, Georges.   2023.  « Deep recurrent reinforcement learning for partially observable user association in a vertical heterogenous network ».  IEEE Communications Letters, vol. 27, nº 12.   pp. 3235-3239.
  Compte des citations dans Scopus : 1.