Interference statistics approximations for data rate analysis in uplink massive MTC
Ver/Abrir
Versió Camera Ready del Paper (535,1Kb) (Acceso restringido)
Solicitud de copia al autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/132454
Tipo de documentoComunicación de congreso
Fecha de publicación2018
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condiciones de accesoAcceso restringido por política de la editorial
Todos los derechos reservados. Esta obra
está protegida por los derechos de propiedad intelectual e industrial. Sin perjuicio de las exenciones legales
existentes, queda prohibida su reproducción, distribución, comunicación pública o transformación sin la
autorización del titular de los derechos
Resumen
Machine-type-communications have attracted a lot of interest in the past years. They rely on interactions between devices with no human supervision. This will help to the advent of a plethora of applications such as the Internet-of-Things. Part of the research within this field deals with coordinating the access of a large number of devices to the network, the so-called \textit{massive} machine-type-communications. In this paper, we focus on the evaluation of the data rate for that scenario, based on an approximation of the statistics of the aggregated interference that depends on the sensors activity. We will consider that the sensors can be in either active or sleep mode, modeled as a Bernoulli random variable. This results in an aggregated interference that follows a discrete distribution whose computation becomes unfeasible with the number of devices. That is why two alternatives are presented to replace the original magnitude and work with an analytic closed form expression approximating the actual statistics. Our approaches are derived using the Chernoff bound and a Gaussian approximation based on Lyapunov's central limit theorem. The average rate is found in both cases and compared with the actual values in different setups. Monte-Carlo simulations will be used for this task.
CitaciónLiesegang, S.; Muñoz, O.; Pascual Iserte, A. Interference statistics approximations for data rate analysis in uplink massive MTC. A: IEEE Global Conference on Signal and Information Processing. "2018 IEEE Global Conference on Signal and Information Processing: GlobalSIP 2018: proceedings, November 26–29, 2018, Anaheim, California, USA". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 176-180.
ISBN978-1-7281-1295-4
Versión del editorhttps://ieeexplore.ieee.org/document/8646658
Ficheros | Descripción | Tamaño | Formato | Ver |
---|---|---|---|---|
GlobalSIP2018 (Final).pdf![]() | Versió Camera Ready del Paper | 535,1Kb | Acceso restringido |