Analysis of UAV communications in cell-free massive MIMO systems
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- dc.contributor.author D’Andrea, Carmen
- dc.contributor.author García Rodríguez, Adrián
- dc.contributor.author Geraci, Giovanni
- dc.contributor.author Galati Giordano, Lorenzo
- dc.contributor.author Buzzi, Stefano
- dc.date.accessioned 2020-02-04T15:43:24Z
- dc.date.available 2020-02-04T15:43:24Z
- dc.date.issued 2020
- dc.description.abstract We study support for unmanned aerial vehicle (UAV) communications through a cell-freemassive MIMO architecture, wherein a large number of access points (APs) is deployed in place of largeco-located massive MIMO arrays. We consider also a variation of the pure cell-free architecture by applyinga user-centric association approach, where each user is served only from a subset of APs in the network.Under the general assumption that the propagation channel between the mobile stations, either UAVs orground users (GUEs), and the APs follows a Ricean distribution, we derive closed form spectral efficiencylower bounds for uplink and downlink with linear minimum mean square error channel estimation. Weconsider several power allocation and user scheduling strategies for such a system, and, among these,also minimum-rate maximizing power allocation strategies to improve the system fairness. Our numericalresults reveal that cell-free massive MIMO architecture and its low-complexity user-centric alternativemay provide better performance than a traditional multi-cell massive MIMO network deployment.en
- dc.description.sponsorship The work of Carmen D’Andrea and Stefano Buzzi was supported in part by the Ministero dell’Istruzione dell’Universita’e della Ricerca (MIUR)program “Dipartimenti di Eccellenza 2018–2022” and in part by the Progetti di Ricerca di Interesse Nazionale (PRIN) 2017 MIUR-fundedproject “LiquidEdge.” The work of Giovanni Geraci was supported in part by MINECO under Project RTI2018-101040-A-I00and in part by the Post-Doctoral Junior Leader Fellowship Programme from “la Caixa” Banking Foundation.en
- dc.format.mimetype application/pdf
- dc.identifier.citation D’Andrea C, Garcia-Rodriguez Z, Geraci G, Galati Giordano L, Buzzi S. Analysis of UAV communications in cell-free massive MIMO systems. IEEE Open Journal of the Communications Society. 2020 Jun 8;1:133-47. DOI: 10.1109/OJCOMS.2020.2964983
- dc.identifier.doi http://dx.doi.org/10.1109/OJCOMS.2020.2964983
- dc.identifier.issn 2644-125X
- dc.identifier.uri http://hdl.handle.net/10230/43476
- dc.language.iso eng
- dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
- dc.relation.ispartof IEEE Open Journal of the Communications Society. 2020 Jun 8;1:133-47.
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PN/RTI2018-101040-A-100
- dc.rights This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Cell-free massive MIMOen
- dc.subject.keyword Ricean fading channelen
- dc.subject.keyword Spectral efficiencyen
- dc.subject.keyword Power allocationen
- dc.subject.keyword UAV communicationsen
- dc.subject.keyword User-centricen
- dc.title Analysis of UAV communications in cell-free massive MIMO systemsen
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion