DocumentCode :
2036020
Title :
A User Level Markov model for service based CRRM algorithm
Author :
Wu, Leijia ; Al Sabbagh, Abdallah E. ; Sandrasegaran, Kumbesan ; Elkashlan, Maged
fYear :
2010
fDate :
2-4 March 2010
Firstpage :
41
Lastpage :
44
Abstract :
In order to support the conceptual development of Radio Access Technology (RAT) selection algorithms, the theory of Markov model has been used. Performance metrics can be derived from the steady state probabilities of a Markov model. This paper extends a User Level Markov model for a three colocated RATs system from existing two co-located RATs Markov models. The service based RAT selection algorithm has been studied using the proposed Markov model. Numerical results obtained from the proposed Markov model are presented.
Keywords :
Markov processes; probability; radio access networks; telecommunication network management; common radio resource management strategy; radio access technology selection algorithms; service based CRRM algorithm; service based RAT selection algorithm; steady state probabilities; user level Markov model; 3G mobile communication; Australia; Costs; Electronic mail; Laboratories; Quality of service; Rats; Resource management; Steady-state; Wireless LAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Information Technology (MCIT), 2010 International Conference on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-7001-3
Type :
conf
DOI :
10.1109/MCIT.2010.5444856
Filename :
5444856
Link To Document :
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