George, GeordieMungara, Ratheesh K.Lozano Solsona, AngelHaenggi, Martin2017-11-272017-11-272017George 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.2017.7996345http://hdl.handle.net/10230/33342Comunicació presentada a la 2017 IEEE International Conference on Communications (ICC), celebrada els dies 21 a 25 de maig de 2017 a París, França.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).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://ieeexplore.ieee.org/document/7996345/info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICC.2017.7996345InterferenceFading channelsSignal to noise ratioShadow mappingReceiversMIMOStochastic processesinfo:eu-repo/semantics/openAccess