Title
Energy-throughput simulation approach for heterogeneous LTE scenarios
Abstract
In order to increase overall LTE system performance femtocells have been proposed, as a user-based solution promising to give much better service to the user specially indoor. Their deployment should improve the total system capacity noticeably and decrease drastically the power consumption. On the other hand these small indoor cells make network planning strategies much more complex given the uncertainty of their position and their load; femtocells are, after all, managed by the users. The goal of this work is to provide a simulation approach to determine the effects of heterogeneous cell deployment on the performance of an LTE network. The simulation framework allows to realistically compare the power consumption and throughput of the overall system. The key components are the combination of indoor and outdoor propagation modeling, and the diversification of femto, micro and macro-cell energy consumption models. The model further contains complex citylike building structures, multiple communication layers (eNodeBs and femtocells) distributed over a three-dimensional map and numerous users moving across different areas while adapting their service requirements. The simulation approach results in relatively computationally inexpensive simulations and allows to model the expected throughput and energy consumption for various heterogeneous LTE scenarios.
Year
DOI
Venue
2011
10.1109/ISWCS.2011.6125377
Wireless Communication Systems
Keywords
Field
DocType
Long Term Evolution,energy consumption,femtocellular radio,indoor radio,microcellular radio,LTE system performance femtocell,complex city-like building structure,energy-throughput simulation approach,heterogeneous LTE scenario,heterogeneous cell deployment,indoor cell,macro-cell energy consumption model,micro-cell energy consumption model,multiple communication layer,network planning strategy,outdoor propagation modeling,power consumption,service requirement,three-dimensional map
Femto-,Femtocell,Software deployment,Network planning and design,Computer science,Computer network,Real-time computing,System capacity,Throughput,Energy consumption,Power consumption
Conference
ISSN
ISBN
Citations 
2154-0217 E-ISBN : 978-1-61284-401-5
978-1-61284-401-5
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Baddour, R.100.34
Chiumento, A.210.68
Claude Desset393184.11
Torrea-Duran, R.400.68