DocumentCode :
3012475
Title :
Joint admission control & interference avoidance in self-organized femtocells
Author :
Namal, Suneth ; Ghaboosi, Kaveh ; Bennis, Mehdi ; MacKenzie, Allen B. ; Latva-aho, Matti
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
1067
Lastpage :
1071
Abstract :
In this paper, we consider a femtocell deployment scenario in which radio resources are shared among self-organized femtocells. We propose a distributed Admission Control Mechanism (ACM) for traffic load balancing among sub-carriers when there are multiple Quality of Service (QoS) classes. Furthermore, we propose a mechanism based on Reinforcement Learning (RL) for slot allocation to the traffic streams on different sub-carriers, which is employed by each Femto Access Point (FAP) to mitigate interference among femtocells and the underlaid macrocell. Through simulations, the performance of the proposed scheme is evaluated where it is shown that femtocells are able to coexist with the overlay macrocell network with no information exchange and by relying only on local information.
Keywords :
channel allocation; femtocellular radio; learning (artificial intelligence); quality of service; radiofrequency interference; telecommunication computing; telecommunication congestion control; admission control; distributed admission control mechanism; femtocell deployment scenario; interference avoidance; local information; macrocell network; quality of service; radio resource; reinforcement learning; self organized femtocells; slot allocation; traffic load balancing; Femtocells; Interference; Macrocell networks; Quality of service; Radiation detectors; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-9722-5
Type :
conf
DOI :
10.1109/ACSSC.2010.5757566
Filename :
5757566
Link To Document :
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