DocumentCode
1931925
Title
Resource Efficiency of Traffic-Centric Models for Complex LTE Systems
Author
Pileggi, Paolo
Author_Institution
Dept. of Eng., Networking Group, Univ. of Rome (Tor Vergata), Rome, Italy
fYear
2012
fDate
25-27 Sept. 2012
Firstpage
357
Lastpage
362
Abstract
Simulation is the dominating method to model wireless communication systems, especially fourth generation (4G) wireless technologies, such as 3GPP long term evolution (LTE). However, orthodox simulation, i.e., discrete-event simulation (DES), has severe short-comings. It takes days, weeks, and even months, to produce sound performance estimates. As for 4G in general, LTE is connection-oriented. Including connection -- and packet-level activities in one model poses serious resource-requirement problems because the time-resolution of events at each respective level differs to the order of magnitude of at least 10E06. Consequently, Traffic-Centric Modelling (TCM) has been proposed as a feasible alternative to DES. In this paper, we present a TCM model of an LTE uplink scenario as proof-of-concept that TCM is, in fact, capable of modelling complex systems. Moreover, experimental results indicate a significant improvement in temporal and spatial resource-requirements achieved by TCM.
Keywords
4G mobile communication; Long Term Evolution; telecommunication traffic; 3GPP Long Term EvoLution; 4G wireless technologies; DES; LTE uplink scenario; TCM model; complex LTE systems; connection-level activities; discrete-event simulation; fourth generation wireless technologies; orthodox simulation; packet-level activities; resource-requirement problems; spatial resource-requirements; traffic-centric model resource efficiency; traffic-centric modelling; wireless communication systems; Computational modeling; Memory management; Observers; Quality of service; Real-time systems; Robustness; Wireless communication; Hybrid Performance Models; Long Term Evolution; Traffic-Centric Modelling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
Conference_Location
Kuantan
ISSN
2166-8531
Print_ISBN
978-1-4673-3113-5
Type
conf
DOI
10.1109/CIMSim.2012.11
Filename
6338104
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