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