Publication:
Deployment of clustered-based small cells in interference-limited dense scenarios: analysis, design and trade-offs

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.authorRiera Palou, Felip
dc.contributor.authorFernández-Getino García, María Julia
dc.contributor.authorFemenias, Guillem
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es
dc.date.accessioned2021-08-31T10:39:11Z
dc.date.available2021-07-22T12:07:48Z
dc.date.issued2021-08-01en
dc.description.abstractNetwork densification is one of the most promising solutions to address the high data rate demands in 5G and beyond (B5G) wireless networks while ensuring an overall adequate quality of service. In this scenario, most users experience significant interference levels from neigh-bouring mobile stations (MSs) and access points (APs) making the use of advanced interference management techniques mandatory. Clustered interference alignment (IA) has been widely pro-posed to manage the interference in densely deployed scenarios with a large number of users. Nonetheless, the setups considered in previous works are still far from the densification lev-els envisaged for 5G/B5G networks that are considered in this paper. Moreover, prior designs of clustered-IA systems relied on oversimplified channel models and/or enforced single-stream transmission. In this paper, we explore an ultradense deployment of small-cells (SCs) to pro-vide coverage in 5G/B5G wireless networks. A novel cluster design based on size-restricted k-means algorithm to divide the SCs into different clusters is proposed taking into account path loss and shadowing effects, thus providing a more realistic solution than those available in the current literature. Unlike previous works, this clustering method can also cater for spatial mul-tiplexing scenarios. Also, several design parameters such as the number of transmit antennas, multiplexed data streams, and deployed APs are analyzed in order to identify trade-offs between performance and complexity. The relationship between density of network elements per area unit and performance is investigated, thus allowing to illustrate that there is an optimal coverage area value over which the network resources should be distributed. Moreover, it is shown that the spectral-efficiency degradation due to the inter-cluster interference in ultra-dense networks (UDNs) points to the need of designing an interference management algorithm that accounts for both, intra-cluster and inter-cluster interference. Simulation results provide key insights for the deployment of small cells in interference-limited dense scenarios.en
dc.description.sponsorshipThis work has received funding from the European Union (EU) Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie ETN TeamUp5G, grant agreement No. 813391. We also acknowledge the Ministerio de Ciencia, Innovación y Universidades (MCIU), the Agencia Estatal de Investigacion (AEI) and the European Regional Development Funds (ERDF) for its support to the Spanish National Project TERESA (subprojects TEC2017-90093-C3-2-R and TEC2017-90093-C3-3-R).en
dc.description.statusPublicadoes
dc.format.extent15
dc.identifier.bibliographicCitationWireless Communications and Mobile Computing, v. 2021, Article ID 9914456, 15 p.en
dc.identifier.doihttps://doi.org/10.1155/2021/9914456
dc.identifier.issn1530-8669
dc.identifier.publicationfirstpage9914456-1
dc.identifier.publicationlastpage9914456-15
dc.identifier.publicationtitleWireless Communications and Mobile Computingen
dc.identifier.publicationvolume2021
dc.identifier.urihttps://hdl.handle.net/10016/33140
dc.identifier.uxxiAR/0000028228
dc.language.isoeng
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/813391/EU/TeamUp5G
dc.relation.projectIDGobierno de España. TEC2017-90093-C3-2-Res
dc.relation.projectIDGobierno de España. TEC2017-90093-C3-3-Res
dc.rightsAtribución 3.0 España*
dc.rightsCopyright © 2021 David Alejandro Urquiza Villalonga et al.
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherUltra-dense network (UDN)en
dc.subject.otherSmall-cells (SCS) deploymenten
dc.subject.otherClusteringen
dc.subject.otherInterference alignment (IA)en
dc.subject.other5Gen
dc.subject.otherB5G networksen
dc.titleDeployment of clustered-based small cells in interference-limited dense scenarios: analysis, design and trade-offsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
deployment_WCC_2021.pdf
Size:
767.23 KB
Format:
Adobe Portable Document Format
Download
Collections
DTSC - GC - Artículos de Revistas
OpenAIRE: Open Access Infrastructure for Research in Europe
Proyectos FOS (2022-2023)