George, GeordieMungara, Ratheesh K.Lozano Solsona, AngelHaenggi, Martin2017-11-272017-11-272017George 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.2017.26684141536-1276http://hdl.handle.net/10230/33348This 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.application/pdfeng© 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.2017.2668414info:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TWC.2017.2668414Stochastic geometryCellular networksErgodic spectral efficiencyMIMOSectorizationPoisson point processShadowingInterferenceSINRinfo:eu-repo/semantics/openAccess