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Multi-Objective Routing Optimization for 6G Communication Networks Using a Quantum Approximate Optimization Algorithm

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Multi-Objective Routing Optimization for 6G Communication Networks Using a Quantum Approximate Optimization Algorithm

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Urgelles-Pérez, H.; Picazo-Martínez, P.; Garcia-Roger, D.; Monserrat Del Río, JF. (2022). Multi-Objective Routing Optimization for 6G Communication Networks Using a Quantum Approximate Optimization Algorithm. Sensors. 22(19):1-14. https://doi.org/10.3390/s22197570

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/193848

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Title: Multi-Objective Routing Optimization for 6G Communication Networks Using a Quantum Approximate Optimization Algorithm
Author: Urgelles-Pérez, Helen Picazo-Martínez, Pablo Garcia-Roger, David Monserrat del Río, Jose Francisco
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
Issued date:
Abstract:
[EN] Sixth-generation wireless (6G) technology has been focused on in the wireless research community. Global coverage, massive spectrum usage, complex new applications, and strong security are among the new paradigms ...[+]
Subjects: Multi-objective , Quantum computing , Quantum optimization algorithms , Quantum routing optimization , 6G communication networks
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s22197570
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s22197570
Type: Artículo

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