Quantum-Inspired Network Optimization in 6G: Opportunities, Challenges and Open Research Directions

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Samenvatting

The sixth-generation (6G) wireless networks are envisioned to deliver a paradigm shift in performance, capacity, and complexity compared to the previous generations. The increased complexity, ultra-low latency, and higher data rate requirements of 6G networks require advanced computational capabilities for network optimization, including resource allocation, dynamic slicing, and traffic routing. In this paper, we discuss the need of integrating quantum computing and quantum machine learning for network optimization in 6G.
Originele taal-2Engels
TitelDistributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference
RedacteurenRashid Mehmood, Victor Alves, Isabel Praça, Jarosław Wikarek, Javier Parra-Domínguez, Roussanka Loukanova, Ignacio de Miguel, Tiago Pinto, Ricardo Nunes, Michela Ricca
Plaats van productieCham
UitgeverijSpringer
Hoofdstuk48
Pagina's480-488
Aantal pagina's9
ISBN van elektronische versie978-3-031-38318-2
ISBN van geprinte versie978-3-031-38317-5
DOI's
StatusGepubliceerd - jul. 2023
Evenement20th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2023 - University of Minho, Guimarães, Portugal
Duur: 12 jul. 202314 jul. 2023
Congresnummer: 20
https://www.dcai-conference.net/

Publicatie series

NaamLecture Notes in Networks and Systems, LNNS
UitgeverijSpringer
Volume741
ISSN van geprinte versie2367-3370
ISSN van elektronische versie2367-3389

Congres

Congres20th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2023
Verkorte titelDCAI 2023
Land/RegioPortugal
StadGuimarães
Periode12/07/2314/07/23
Internet adres

Financiering

This work was supported by the EC H2020 MSCA ITN-ETN IoTalentum (GA 953442) project, the ECSEL-JU project BRAINE with grant number 876967 and the Dutch Ministry of Economic Affairs and Climate Policy (EZK), as part of the Quantum Delta NL programme.

FinanciersFinanciernummer
H2020 Marie Skłodowska-Curie ActionsGA 953442
ECSEL-JU876967
Ministerie van Economische Zaken en Klimaat

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