Title :
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
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;
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
DOI :
10.1109/WMNC.2013.6548996
