Paper Info
Title
A 3-D Markov Chain Model for a Multi-Dimensional Indoor Environment
Abstract
In this paper, a pico-cellular airport traffic model is proposed which supports Engset distributed fresh call arrival process and General distributed handoff process with Dynamic Channel Allocation (DCA). The proposed model enables load balancing using DCA and uses a three-dimensional Markov chain to compute traffic congestion and call congestion for any kind of traffic streams, including Pure Chance Type-I (PCT-I) or Pure Chance Type-II (PCT-II). The application of the proposed model is illustrated in assessing indoor mobility to evaluate QoS parameters. The proposed airport traffic model is fairly general in the sense that it is not restricted by number of users, user mobility or range of offered load, and can be reduced to predict congestion for Poisson distributed fresh call arrival processes and General distributed handoff processes.
Year
DOI
Venue
2010
10.1109/GLOCOM.2010.5683130
IEEE Global Telecommunications Conference (Globecom)
Keywords
DocType
ISSN
mathematical model,load balancing,markov chain model,load balance,markov processes,computational modeling,dynamic channel allocation,quality of service,three dimensional,atmospheric modeling,markov chain,poisson distribution,channel allocation
Conference
1930-529X
Citations 
PageRank 
References 
2
0.43
7
Authors
3
Name
Order
Citations
PageRank
Samya Bhattacharya1234.47
Bilal R. Qazi27213.64
J. M.H. Elmirghani3591110.47