Performance comparison of interference alignment algorithms in an energy harvesting scenario

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dc.contributor.author Urquiza Villalonga, David Alejandro
dc.contributor.author Fernández-Getino García, María Julia
dc.date.accessioned 2020-06-16T06:56:40Z
dc.date.available 2021-03-17T12:12:14Z
dc.date.issued 2020-11-10
dc.identifier.bibliographicCitation 12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP), 20-22, July 2020, (Online), 6 pp.
dc.identifier.isbn 978-1-7281-6743-5
dc.identifier.uri http://hdl.handle.net/10016/30616
dc.description Proceeding of: 12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP), 20-22, July 2020, (Online).
dc.description.abstract Energy-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.
dc.description.sponsorship This 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.
dc.format.extent 6
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2020 IEEE.
dc.subject.other Interference alignment
dc.subject.other Simultaneous wireless information and power transfer
dc.subject.other Energy harvesting
dc.subject.other Green communications
dc.title Performance comparison of interference alignment algorithms in an energy harvesting scenario
dc.type conferenceObject
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/CSNDSP49049.2020.9249586
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/813391/TeamUp5G
dc.relation.projectID Gobierno de España. TEC2017-90093-C3-2-R/TERESA-ADA
dc.type.version acceptedVersion
dc.relation.eventdate 20-22, July 2020
dc.relation.eventnumber 12
dc.relation.eventtitle IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP).
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 6
dc.identifier.uxxi CC/0000030586
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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