IEEE Communications Letters · 2009 · 56 citations · 7 references
EngineeringCommunicationComputer NetworksProbability TheoryStochastic ProcessesChannel CapacityCognitive RadioCommunication NetworksMarkov ChainsMarkov ProcessesWireless Channel ModelingCognitive Radio NetworksDiscrete-time Markov ChainsDiscrete-time Markov ProcessesMarkov Channel ModelsMarkov-modulated Poisson ProcessesPoisson Process ModelsVoice Communication SystemsWireless Networking
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.
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Mobile WiMAX systems: performance and evolution
Fan Wang, Amitava Ghosh, Chandy Sankaran et al. · IEEE Communications Magazine · 2008 · 208 citations