Statistical analysis of traffic aggregation in LTE access networks

Author

Singh, Ashutosh ; Abeywickrama, Indika ; Konsgen, Andreas ; Xi Li ; Goerg, C.

Author_Institution

Univ. of Bremen, Bremen, Germany

fYear

2013

fDate

23-25 April 2013

Firstpage

1

Lastpage

4

Abstract

The optimum utilization of the links in LTE access networks is an important goal for mobile operators. In this paper, the effect of aggregating traffic from different eNodeBs is analyzed by observing different statistical parameters, in particular the link utilization and the multiplexing gain. It is observed that more than two levels of aggregation do not give a significant enhancement of the above-mentioned parameters. Also, the effect of aggregation on self-similar traffic is analyzed. In the future work, an analytical description of the arrivals is planned to be developed based on the Modulated Markovian Poisson Process (MMPP) which allows the prediction of the network load parameters by mathematical means.

Keywords

Long Term Evolution; Markov processes; multiplexing; radio access networks; statistical analysis; LTE access networks; MMPP; arrival analytical description; eNodeBs; link optimum utilization; mobile operators; modulated Markovian Poisson process; multiplexing gain; network load parameters; self-similar traffic; statistical analysis; statistical parameters; traffic aggregation; Computational modeling; Delays; Mathematical model; Multiplexing; Quality of service; Streaming media; Topology;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless and Mobile Networking Conference (WMNC), 2013 6th Joint IFIP

Conference_Location

Dubai

Print_ISBN

978-1-4673-5615-2

Electronic_ISBN

978-1-4673-5614-5

Type

conf

DOI

10.1109/WMNC.2013.6548996

Filename

6548996