A novel approach for spectral efficiency analysis in MIMO cellular networks

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• dc.contributor.author George, Geordieca
• dc.contributor.author Mungara, Ratheesh K.ca
• dc.contributor.author Lozano Solsona, Angelca
• dc.contributor.author Haenggi, Martinca
• dc.date.accessioned 2017-11-27T10:09:26Z
• dc.date.available 2017-11-27T10:09:26Z
• dc.date.issued 2017
• dc.description Comunicació presentada a la 2017 IEEE International Conference on Communications (ICC), celebrada els dies 21 a 25 de maig de 2017 a París, França.
• dc.description.abstract The application of stochastic geometry to the analysis of wireless networks is shown to be propelled by (i) a clean separation of time scales, (ii) abstraction of small-scale effects via ergodicity, and (iii) an interference model reflecting the receiver's lack of knowledge of how individual interference terms are faded. These steps render the analysis simpler and more precise, and more amenable to incorporating subsequent features. Specifically, the paper presents easy-to-evaluate expressions for the ergodic spectral efficiency of cellular networks with single-user multiple-input multiple-output (MIMO).en
• dc.description.sponsorship This work was supported by Project TEC2015-66228-P (MINECO/FEDER, UE) and by the U.S. NSF through award CCF 1525904.
• dc.format.mimetype application/pdfca
• dc.identifier.citation George G, Mungara RK, Lozano A, Haenggi M. A novel approach for spectral efficiency analysis in MIMO cellular networks. In: Gesbert D, Debbah M, Mellouk A, editors. 2017 IEEE International Conference on Communications (ICC); 2017 May 21-25; Paris, France. Piscataway (NJ): IEEE; 2017. p. 154-9. DOI: 10.1109/ICC.2017.7996345
• dc.identifier.doi http://dx.doi.org/10.1109/ICC.2017.7996345
• dc.identifier.uri http://hdl.handle.net/10230/33342
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
• dc.relation.ispartof Gesbert D, Debbah M, Mellouk A, editors. 2017 IEEE International Conference on Communications (ICC); 2017 May 21-25; Paris, France. Piscataway (NJ): IEEE; 2017. p. 154-9.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TEC2015-66228-P
• dc.rights © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://ieeexplore.ieee.org/document/7996345/
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Interferenceen
• dc.subject.keyword Fading channelsen
• dc.subject.keyword Signal to noise ratioen
• dc.subject.keyword Shadow mappingen
• dc.subject.keyword Receiversen
• dc.subject.keyword MIMOen
• dc.subject.keyword Stochastic processesen
• dc.title A novel approach for spectral efficiency analysis in MIMO cellular networksca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion