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Politecnico di Torino

On Applications of Machine Learning In IRS NOMA Architectures For 5G and Beyond

Abstract

dc:description

L'abstract è presente nell'allegato / the abstract is in the attachment

Degree

thesis:*
Grantor dc:publisher
Politecnico di Torino
Year dc:date
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • SHEHAB, MUHAMMAD
Contributors dc:contributor
  • TRINCHERO, Daniele

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
  • license:Creative commons
  • license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:iris.polito.it:11583/2987291

Chain of custody

source
Harvested from
Politecnico di Torino
Base URL
iris.polito.it/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

SHEHAB, MUHAMMAD. On Applications of Machine Learning In IRS NOMA Architectures For 5G and Beyond. Politecnico di Torino, 2024. https://hdl.handle.net/11583/2987291