Title :
VoIP capacity analysis in cognitive radio system
Author :
Lee, Howon ; Cho, Dong-Ho
Author_Institution :
KAIST, Daejeon
fDate :
6/1/2009 12:00:00 AM
Abstract :
In this letter, we analyze a voice over IP (VoIP) capacity in a cognitive radio system. We formulate the system as a two-dimensional discrete time Markov chain (DTMC). The VoIP traffic and wireless channel in the cognitive radio system are described as a Markov modulated Poisson process (MMPP) model and a Markov channel model, respectively. We demonstrate various numerical and simulation results, such as packet dropping probability and VoIP capacity.
Keywords :
Internet telephony; Markov processes; cognitive radio; telecommunication traffic; wireless channels; Markov channel model; Markov modulated Poisson process model; VoIP capacity analysis; VoIP traffic; cognitive radio system; packet dropping probability; two-dimensional discrete time Markov chain; wireless channel; Capacity planning; Cognitive radio; Frequency; Internet telephony; Numerical simulation; Performance analysis; Resource management; Speech analysis; Traffic control; Wireless communication; Cognitive radio, VoIP service, Markov modulated Poisson process, discrete-time Markov chain;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.082189