Title :
A Markov chain model for packet queueing delay analysis of a mobile user in HetNets
Author_Institution :
Technol. & Res., Khalifa Univ. of Sci., Abu Dhabi, United Arab Emirates
Abstract :
HetNet is a cost-efficient way to increase network capacity to support rapidly increasing data traffic. In HetNets, it is desirable to ensure that the packet delay as experienced by a user is acceptable to an application. This paper focuses on finding the packet queueing delay of a mobile user in HetNets. We develop a simple two-dimensional finite state Markov chain model to represent the queue size and data rate of a mobile user. By solving the Markov chain for its stationary state probability distribution, we can determine the average packet delay as a function of traffic arrival rate. We have verified the numerical model against results from simulations. By using the model, we can find the suitable femto cell density to achieve a desired packet delay.
Keywords :
Markov processes; femtocellular radio; probability; queueing theory; telecommunication traffic; HetNet; Markov chain model; data traffic; femtocell density; mobile user; network capacity; packet queueing delay analysis; stationary state probability distribution; traffic arrival rate; Base stations; Delays; Markov processes; Mobile communication; Quality of service; Queueing analysis; Random variables; HetNet; Heterogeneous network; Markov chain; packet delay; queueing analysis;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2015 IEEE
Conference_Location :
New Orleans, LA
DOI :
10.1109/WCNC.2015.7127773