LTE Radio schedulers analytical modeling using continuous time Markov chains

Yasir Zaki, Thushara Weerawardane, Xi Li, Carmelita Gorg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes LTE radio scheduler analytical models. The motivation behind the models is to evaluate the performance of the complex LTE system analytically, rather than using simulations or real life experiments (which are not always possible to perform) that are too exhaustive and consumes large computation power and time. The models are developed to approximate the system behavior mathematically; it enhances the performance evaluation's processing effort and time significantly compared to traditional simulations. The proposed analytical models are based on the Continuous Time Markov Chain (CTMC) and represent different LTE Time Domain Schedulers (TDS) as well as two different model categories: a single class model and a two class model. In the single class model only a single traffic class is considered with no QoS differentiation. Whereas, the two classes model supports QoS differentiation between the two classes. An extensive analysis have been performed using the aforementioned analytical models and is compared with a well developed simulation model.

Original languageEnglish (US)
Title of host publicationProceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
DOIs
StatePublished - Aug 19 2013
Event2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013 - Dubai, United Arab Emirates
Duration: Apr 23 2013Apr 25 2013

Publication series

NameProceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013

Other

Other2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
CountryUnited Arab Emirates
CityDubai
Period4/23/134/25/13

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Zaki, Y., Weerawardane, T., Li, X., & Gorg, C. (2013). LTE Radio schedulers analytical modeling using continuous time Markov chains. In Proceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013 [6548995] (Proceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013). https://doi.org/10.1109/WMNC.2013.6548995