Publication:
Performance comparison of interference alignment algorithms in an energy harvesting scenario

Simple item page
dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Comunicacioneses
dc.contributor.authorUrquiza Villalonga, David Alejandro
dc.contributor.authorFernández-Getino García, María Julia
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2020-06-16T06:56:40Z
dc.date.available2021-03-17T12:12:14Z
dc.date.issued2020-11-10
dc.descriptionProceeding of: 12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP), 20-22, July 2020, (Online).en
dc.description.abstractEnergy-efficient interference alignment (IA) algorithms that simultaneously satisfy continuous coverage and green communications requirements are an open problem in 5G cellular networks. IA is one of the most promising techniques to eliminate interference. However, a recent assumption in green communications is to utilize interference signals as an energy supply for electronic devices. In this scenario, simultaneous wireless information and power transfer (SWIPT) schemes are a common technique to harvest energy from wireless signals. This paper addresses a performance comparison of different IA algorithms to guarantee the best trade-off between sum-rate and the amount of harvested energy, with an in-depth analysis.en
dc.description.sponsorshipThis work has received funding from the European Union (EU) Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie ETN TeamUp5G, grant agreement No. 813391. Also, this work has been supported in part by the Spanish National Project TERESA-ADA, funded by (MINECO/AEI/FEDER, UE) under grant TEC2017-90093-C3-2-R.en
dc.format.extent6
dc.identifier.bibliographicCitation12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP), 20-22, July 2020, (Online), 6 pp.en
dc.identifier.doihttps://doi.org/10.1109/CSNDSP49049.2020.9249586
dc.identifier.isbn978-1-7281-6743-5
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage6
dc.identifier.urihttps://hdl.handle.net/10016/30616
dc.identifier.uxxiCC/0000030586
dc.language.isoengen
dc.publisherIEEE
dc.relation.eventdate20-22, July 2020en
dc.relation.eventnumber12
dc.relation.eventtitleIEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP).en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/813391/TeamUp5G
dc.relation.projectIDGobierno de España. TEC2017-90093-C3-2-R/TERESA-ADAes
dc.rights© 2020 IEEE.en
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherInterference alignmenten
dc.subject.otherSimultaneous wireless information and power transferen
dc.subject.otherEnergy harvestingen
dc.subject.otherGreen communicationsen
dc.titlePerformance comparison of interference alignment algorithms in an energy harvesting scenarioen
dc.typeconference proceedings*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
performance_CSNDSP_2020.pdf
Size:
457.25 KB
Format:
Adobe Portable Document Format
Download
Collections
DTSC - GC - Comunicaciones en congresos y otros eventos
DTSC - GC - Capítulos de Monografías
OpenAIRE: Open Access Infrastructure for Research in Europe
Proyectos FOS (2022-2023)