Ergodic spectral efficiency in MIMO cellular networks

Mostra el registre complet Registre parcial de l'ítem

• 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 2017-11-27T10:18:54Z
• dc.date.available 2017-11-27T10:18:54Z
• dc.date.issued 2017
• dc.description.abstract This paper shows how the application of stochastic geometry to the analysis of wireless networks is greatly facilitated by: (i) a clear separation of time scales; (ii) the abstraction of small-scale effects via ergodicity; and (iii) an interference model that reflects the receiver's lack of knowledge of how each individual interference term is faded. These procedures render the analysis both more manageable and more precise, as well as more amenable to the incorporation of subsequent features. In particular, the paper presents analytical characterizations of the ergodic spectral efficiency of cellular networks with single-user multiple-input multiple-output and sectorization. These characterizations, in the form of easy-to-evaluate expressions, encompass the coverage, the distribution of spectral efficiency over the network locations, and the average thereof.en
• dc.description.sponsorship This work was supported in part by MINECO/FEDER, UE, under Project TEC2015-66228-P, in part by the European Research Council under the H2020 Framework Programme/ERC grant agreement under Grant 694974, and in part by the U.S. National Science Foundation under Award CCF 1525904.
• dc.format.mimetype application/pdfca
• dc.identifier.citation George G. Mungara RK, Lozano A. Haenggi M. Ergodic spectral efficiency in MIMO cellular networks. IEEE Trans Wireless Commun. 2017;16(5):2835-49. DOI: 10.1109/TWC.2017.2668414
• dc.identifier.doi http://dx.doi.org/10.1109/TWC.2017.2668414
• dc.identifier.issn 1536-1276
• dc.identifier.uri http://hdl.handle.net/10230/33348
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
• dc.relation.ispartof IEEE Transactions on Wireless Communications. 2017;16(5):2835-49.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/694974
• 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://dx.doi.org/10.1109/TWC.2017.2668414
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Stochastic geometryen
• dc.subject.keyword Cellular networksen
• dc.subject.keyword Ergodic spectral efficiencyen
• dc.subject.keyword MIMOen
• dc.subject.keyword Sectorizationen
• dc.subject.keyword Poisson point processen
• dc.subject.keyword Shadowingen
• dc.subject.keyword Interferenceen
• dc.subject.keyword SINRen
• dc.title Ergodic spectral efficiency in MIMO cellular networksca
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion