A User Level Markov model for service based CRRM algorithm

Publication Type:
Conference Proceeding
Citation:
MCIT'2010: International Conference on Multimedia Computing and Information Technology, 2010, pp. 41 - 44
Issue Date:
2010-06-01
Full metadata record
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 co-located 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. ©2010 IEEE.
Please use this identifier to cite or link to this item: