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
Link To Document :
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