Pragmatic Approach For Estimating Wireless Broadband Traffic Using the Theory of Large Deviations
AbstractThis paper proposes a methodology to predict wireless broadband network capacity based on effective bandwidth estimation. Former wireless network planning strategies were based on the estimation of the distribution of the number of users over the mobile network area. However, with the rapid spreading of wireless broadband networks and the increased number of services, the characteristics of user traffic have become an important matter due to the uniqueness of user profile. Furthermore, new wireless broadband networks are no longer based on circuit switching, but on packet switching technology. This paper applies the Large Deviations Theory to leverage estimation of the aggregated traffic intensity of several users. The approach was validated by analyzing known traffic traces of wireless broadband networks.
How to Cite
H. Hisatugu, W., & S. Garcia, A. (2015). Pragmatic Approach For Estimating Wireless Broadband Traffic Using the Theory of Large Deviations. Journal of Communication and Information Systems, 27(1). https://doi.org/10.14209/jcis.2012.4
Copyright (c) 2015 Wiliam H. Hisatugu, Anilton S. Garcia
Authors who publish in this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).