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

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Show simple item record Urquiza Villalonga, David Alejandro Riera Palou, Felip Fernández-Getino García, María Julia Femenias, Guillem 2021-08-31T10:39:11Z 2021-07-22T12:07:48Z 2021-08-01
dc.identifier.bibliographicCitation Wireless Communications and Mobile Computing, v. 2021, Article ID 9914456, 15 p.
dc.identifier.issn 1530-8669
dc.description.abstract Network 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.
dc.description.sponsorship This 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).
dc.format.extent 15
dc.language.iso eng
dc.rights Atribución 3.0 España
dc.rights Copyright © 2021 David Alejandro Urquiza Villalonga et al.
dc.rights This 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.subject.other Ultra-dense network (UDN)
dc.subject.other Small-cells (SCS) deployment
dc.subject.other Clustering
dc.subject.other Interference alignment (IA)
dc.subject.other 5G
dc.subject.other B5G networks
dc.title Deployment of clustered-based small cells in interference-limited dense scenarios: analysis, design and trade-offs
dc.type article
dc.description.status Publicado
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/813391/EU/TeamUp5G
dc.relation.projectID Gobierno de España. TEC2017-90093-C3-2-R
dc.relation.projectID Gobierno de España. TEC2017-90093-C3-3-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 9914456-1
dc.identifier.publicationlastpage 9914456-15
dc.identifier.publicationtitle Wireless Communications and Mobile Computing
dc.identifier.publicationvolume 2021
dc.identifier.uxxi AR/0000028228
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades (España)
dc.affiliation.dpto UC3M. Departamento de Teoría de la Señal y Comunicaciones
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Comunicaciones
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