DocumentCode :
2378216
Title :
A robust mechanism for resource allocation with interference mitigation in femtocellular networks
Author :
Ali, Najah Abu
Author_Institution :
Fac. of IT, United Arab Emirates Univ., Al-Ain, United Arab Emirates
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
5048
Lastpage :
5052
Abstract :
Interference mitigation can be particularly challenging in hybrid 4G cellular networks employing a femtocellular tier, especially given the ad hoc nature in which femtocells are deployed. So far, mitigation mechanisms have been based on simplified models assuming regular (grid-based) deployment, using average interference characterization or satisfying the SINR requirements while ignoring the required data rates. In this paper, we show that such simplifications can be relaxed. Specifically, we derive an interference mitigation mechanism assuming an ad hoc deployment. The mechanism optimizes resource allocations on per-subcarrier basis while satisfying user data rate requirements. It is also based on a rigorous cross-tier interference characterization (macro-femto, femto-femto), and utilizes robust stochastic programming techniques. Simulation results indicate great potential in our proposal as it significantly outperforms a heuristic greedy algorithm.
Keywords :
4G mobile communication; femtocellular radio; interference suppression; resource allocation; stochastic programming; SINR requirement; ad hoc deployment; average interference characterization; cross-tier interference characterization; femto-femto; femtocellular network; femtocellular tier; grid-based deployment; heuristic greedy algorithm; hybrid 4G cellular network; interference mitigation; macro-femto; resource allocation; robust mechanism; robust stochastic programming; Femtocells; Greedy algorithms; Interference; Macrocell networks; OFDM; Resource management; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6364401
Filename :
6364401
Link To Document :
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